TL;DR:
AI is no longer a futuristic concept associated with sci-fi movies and robots. It’s driving real change in ecommerce right now. Currently, 84% of ecommerce businesses list AI as their top priority. And it’s only getting bigger. By 2034, the ecommerce AI market is expected to hit $62.64 billion.
Brands that use AI to improve personalization, automate customer support, and refine pricing strategies will have a major competitive edge.
The good news? Most brands are still figuring it out, which means there’s huge potential for early adopters to stand out.
Let’s dive into the key AI trends shaping ecommerce in 2025, and how you can use them to future-proof your business.
Instead of searching for keywords, shoppers can upload a photo and instantly find similar or matching products. Visual search eliminates the guesswork of finding the right words to describe an item and reduces friction in the search process.
In 2025, improvements in computer vision and machine learning will make visual search faster. AI will better recognize patterns, colors, and textures, delivering more precise results in real-time.
For customers, visual search simplifies product discovery while brands benefit from increased average order values. Visual search creates more opportunities to surface related products that customers might miss during manual searches, ultimately boosting conversion and revenue.
Pinterest is already doing it. With Pinterest Lens, users can take a picture on the spot to find similar products or ideas to help them with easier purchases or creative projects.
Pro Tip: Optimize product images and metadata (like color, size, and material) so your products appear accurately in visual search results. Clean, high-quality images and detailed tagging will make your catalog easier for AI to process and match.
Conversational AI, like Gorgias’s AI Agent, already handles 60% of customer conversations. Brands that adopt it often see more than a 25% improvement in customer satisfaction, revenue, or cost reduction.
Soon, advanced natural language processing (NLP) will make it easier for customers to use text, voice, and images to find exactly what they’re looking for. These multimodal capabilities will elevate support conversations, resulting in fewer abandoned carts and support teams that can focus on more complex issues.
For example, Glamnetic uses AI Agent to manage customer inquiries across multiple channels, resolving 40% of requests automatically while maintaining a personalized touch. Their AI can automate responses to common questions, recommend products based on browsing history, and even track orders in real-time.
Pro Tip: Invest in AI chat tools that integrate with your customer support system and sync with real-time product and order data. Your responses will be accurate and timely, without losing the personal touch.
Read more: The Gorgias & Shopify integration: 8 features your support team will love
According to McKinsey, omnichannel personalization strategies, including tailored product recommendations, have a 10-15% uplift potential in revenue and retention. But with only 1 in 10 retailers fully implementing personalization across channels, there’s a massive opportunity for brands to innovate.
In 2025, AI-driven product recommendations will become even more precise by analyzing customer behavior, preferences, and purchase history in real-time. Predictive AI will adjust recommendations on the fly, showing customers the right products at the right moment.
Take Kreyol Essence as an example. They use Gorgias Convert to track customer behavior and recommend products based on past purchases and browsing patterns. When a customer buys a hair mask, AI suggests complementary products like scalp oil or leave-in conditioner — increasing average order value without feeling pushy.
Personalization boosts sales by helping customers discover products they actually want. Plus, it creates a more tailored shopping experience, which encourages customers to return.
Pro Tip: Test different recommendation strategies, like “frequently bought together” or “you may also like,” to see which ones drive the most conversions.
Learn more: Reduce Customer Effort with AI: A Smarter Approach Than Surprise and Delight
In 2025, more customers may use smart speakers and voice assistants like Alexa and Google Assistant to shop hands-free. AI will improve voice recognition and contextual understanding, so it’s easier for customers to find products they want.
Instead of fumbling with a keyboard, customers will be able to say, “Order more coffee pods,” and AI will not only recognize the request but also pull up the preferred brand and size based on past orders. Less friction will make the buying process more intuitive, especially for repeat purchases.
Voice commerce expands shopping accessibility and creates a more convenient experience for busy customers. It also opens the door for brands to surface product recommendations and upsell during the conversation.
Pro Tip: Optimize product descriptions and catalog structure for voice search. Clear, simple language and detailed product tags will help AI understand and surface the right products.
A recent McKinsey report suggests that investing in real-time customer analytics will continue to be key to adjusting pricing and more effectively targeting customers.
In 2025, machine learning will allow ecommerce brands to adjust product prices instantly based on demand, competitor pricing, and customer behavior. If a competitor drops their price on a popular item, AI can respond immediately, so you stay competitive without sacrificing margins.
Machine learning will also refine pricing models over time, finding the sweet spot between profitability and customer conversion.
For example, AI might detect that customers are more likely to buy a product when it’s priced at $29.99 rather than $30, and adjust accordingly. More competitive pricing means higher revenue and better margins, but it also increases customer trust when prices are consistent with market trends.
Pro Tip: Test different pricing strategies and monitor how they affect sales and customer behavior.
According to McKinsey, AI-driven personalization and customer insights can improve marketing efficiency by 10-30% and cut costs significantly.
In 2025, AI will analyze customer data like purchase history, browsing patterns, and feedback to generate smarter, more actionable next steps. Instead of guessing what customers want, brands will have the data to predict it.
For example, Gorgias’s AI Agent for Sales can identify a shopper’s interest level and purchase intent and then use it to adjust its conversational strategy. It analyzes shopper data like browsing behavior, cart activity, and purchase history.
Here’s how it would behave for different customers:
AI-driven personalization leads to a 5-10% higher customer satisfaction and engagement. Yet, only 15% have fully implemented it across all channels — leaving a huge gap to fill.
In 2025, AI-driven personalization will go beyond product recommendations. Brands will be able to adjust website layouts based on customer preferences, highlight products that align with their style, and even customize customer service interactions.
A higher level of personalization will boost conversion rates and customer satisfaction. When customers feel like a brand “gets” them, they’re more likely to make a purchase and come back for more.
For example, AI Agent for Sales can adjust discounts and provide smart incentives to drive sales. When adjusting for discounts, AI Agent analyzes shopper behavior, including browsing activity, cart status, and conversation context, to offer a discount based on how engaged and ready the shopper is to buy.
Pro Tip: Use AI to test different personalization strategies and refine them based on performance data. Small adjustments, like changing product order or highlighting specific categories, can have a big impact on sales.
Keeping the right products in stock at the right time is about to get a whole lot easier. In 2025, AI will predict demand patterns and automate restocking decisions based on sales trends, seasonality, and customer behavior. Instead of manually tracking inventory, AI will handle it in real time to avoid stock issues.
For example, AI could notice a spike in orders for a specific product right before the holidays. It could then automatically increase stock levels to meet demand or scale back on items that aren’t moving as fast. Real-time tracking means fewer missed sales and less wasted inventory.
Efficient inventory management not only cuts costs but also improves the customer experience. When products are consistently available, customers are more likely to trust and stick with your brand.
Pro Tip: Implement AI-powered inventory management to sync data across all sales channels. This ensures accurate stock levels and seamless fulfillment, whether customers are shopping online or in-store.
AI makes it easier for brands to deliver a personalized and efficient shopping experience. From helping customers find products faster with visual search to automating support with conversational AI, there are plenty of opportunities for personalization.
The brands that adopt and refine these strategies now will be better positioned to meet customer expectations and stay ahead of the competition. Start by implementing conversational AI and later test some other AI trends like personalized suggestions.
Ready to see how AI can upgrade your brand? Book a demo to see AI Agent in action.
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TL;DR:
As a CX manager, your reporting is your strategic advantage. It's how you prove your team's value, identify emerging trends, and determine exactly what decisions to make.
But when creating those reports becomes time-consuming? That's when insights get buried.
With Gorgias Dashboards, you can build CX reports rooted in your business goals. Unlike standard reports, these customizable dashboards allow you to mix and match over 70 metrics and KPIs, so you can track progress on efforts like reducing your ticket backlog, boosting automation rate, and more.
In this post, we’ll tell you why CX reporting matters, how to set up Dashboards in Gorgias, and show you seven different ways to customize them based on your business needs.
With 70+ charts and metrics to choose from, there are endless ways to style your dashboard. To make it easier for you, we’ve put together seven dashboards for specific use cases.
Let’s start with the basics. This is an all-in-one dashboard for a high-level overview of support and agent performance.
Recommended metrics to track:
Trying to bump up your CSAT score? This dashboard will help you improve customer satisfaction by keeping metrics related to response time and customer sentiment in your line of sight.
Recommended metrics to track:
Make sure to add a filter for customer satisfaction scores of 1-2 stars to dig into the reasons for low scores. Go to Add Filter > Satisfaction score > check 1 and 2 stars, as shown below:
What to look out for:
Peak seasons are the ultimate test of how robust your customer support organizational structure is, and nowhere is it more obvious than in your chat tickets. Without well-trained agents and proper automations in place, it’s easy to drown. Here’s a dashboard to keep up with chat inquiries.
Recommended metrics to track:
Don’t forget to toggle the filter for the chat channel by clicking Add Filter > Channel > Chat.
What to look out for:
Maybe you’re in this rut: You’ve established your SLAs (service level agreements), but your team is struggling to meet them. What now?
Go back to the data. With this SLA compliance dashboard, you can look at exactly how many tickets have breached or achieved SLAs while monitoring agent performance. This dashboard is ideal for brands that provide warranties and/or limited-time return windows.
Recommended metrics to track:
You may find that breached SLAs are caused by certain topics (like refunds) or channels (like social media). Dive deeper by adding a filter for contact reason and channel. Click Add Filter > Contact Reason / Channel.
What to look out for:
Constant returns and refund requests are issues you want to address immediately. Looking at return reasons per customer is inefficient. Instead, get the bigger picture with a dashboard that highlights customer sentiment and product data.
Recommended metrics to track:
Pro Tip: This dashboard works best if you have a Ticket Field for Contact Reason and Return as a Contact Reason. Then you can add a filter for return-related tickets by clicking Add Filter > Contact Reasons > Return.
What to look out for:
Related: 12 ways to upgrade your data and trend analysis with Ticket Fields
From food and beverage to skincare brands, product quality is central to your success. Use this dashboard to keep an eye on how customers feel about your products, then use the data to implement changes customers actually want.
Recommended metrics to track:
You can analyze specific customer sentiments (like tickets that only say “too salty”) by applying a filter. For example, you would click Add Filter > Ticket Field Filters > Flavor > Too Salty.
What to look out for:
More and more customers are using social media apps to shop — in fact, the global social commerce market is projected to grow by 31.6% each year through 2030. The best way to give browsers a good first impression of your brand is by prioritizing social media support.
Recommended metrics to track:
Don’t forget to apply a filter for your social media platforms by clicking Add Filter > Channel > Facebook / Instagram / TikTok Shop.
What to look out for:
You can create up to 10 dashboards. Here’s how to create a new dashboard:
Try it for yourself with our interactive tutorial:
With Gorgias Dashboards, CX managers have full control over their reporting.
By tracking the right KPIs and customizing dashboards based on goals, your team can set the standard for flawless customer support.
Find out the power of custom dashboards in Gorgias. Book a demo now.
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TL;DR:
AI is everywhere in customer service—powering live chats, drafting responses, and handling inquiries faster than ever.
But as AI takes on more of the customer experience, one question keeps coming up: Should brands tell customers when they’re talking to AI?
Legally, the answer depends on where you operate. Ethically? That’s where things get interesting. Some argue that transparency builds trust. Others worry it might undermine confidence in support interactions.
So, what’s the right move?
This guide breaks down the debate and gives CX leaders a framework to decide when (and how) to disclose AI—so you can strike the right balance between innovation and trust.
Depending on where your business operates, disclosure laws may be strict, vague, or nonexistent. Some laws, such as the California Bolstering Online Transparency Act, prohibit misleading consumers about the use of automated artificial identities.
For maximum legal protection, it’s best to proactively disclose AI use—even when not explicitly required.
A simple disclaimer can go a long way in avoiding legal headaches down the line. Here’s how to disclose AI use in customer interactions:
Truthfully, AI laws are evolving fast. That’s why we recommend consulting legal counsel to ensure your disclosure practices align with the latest requirements in your region.
But beyond avoiding legal trouble, transparency around AI usage can reinforce customer trust. If customers feel deceived, they may question the reliability of your brand, even if the AI delivers great service.
Related reading: How AI Agent works & gathers data
Research shows that 85% of consumers want companies to share AI assurance practices before bringing AI-driven products and experiences to market.
But what does “transparency” actually mean in this context? An article in Forbes broke it down, explaining that customers expect three key things:
How you disclose AI matters just as much as whether you disclose it. At the end of the day, AI isn’t inherently good or bad—it’s all about how it’s implemented and trained.
The way a brand approaches AI disclosure can impact trust, satisfaction, and even conversion rates—making it a decision that goes beyond simple legal requirements.
While some customers appreciate honesty, others may hesitate if they prefer human support. Brands must weigh the pros and cons to determine the best approach for their audience.
Let’s be honest: AI in customer service still carries baggage. While some consumers embrace AI-driven support, others hear "AI" and immediately picture frustrating, robotic chatbots that can’t understand their questions.
This is one of the biggest risks of transparency: customers who’ve had bad AI experiences in the past may assume the worst and disengage the moment they realize they’re not speaking to a human.
For brands that thrive on personal connection and high-touch service, openly stating that AI is involved could create skepticism or drop-off rates before customers even give it a chance.
Another challenge? The perception gap.
Even if AI is handling inquiries smoothly, some customers may assume it lacks the empathy, nuance, or problem-solving skills of a live agent. Certain industries may find that transparency about AI use leads to more escalations, not fewer, simply because customers expect a human touch.
Despite the risks, transparency about AI can actually be a trust-building strategy when handled correctly.
Customers who value openness and ethical business practices tend to appreciate brands that don’t try to disguise AI as a human.
Being upfront also manages expectations. If a customer knows they’re speaking to AI, they’re less likely to feel misled or frustrated if they encounter a limitation. Instead of feeling like they were "tricked" into thinking they were talking to a human, they enter the conversation with the right mindset—often leading to higher satisfaction rates.
And then there’s the long-term brand impact.
If customers eventually realize (through phrasing, tone, or inconsistencies) that they weren’t speaking with a human when they thought they were, it can erode trust.
Deception—whether intentional or not—can backfire. Proactively disclosing AI use prevents backlash and reinforces credibility, especially as AI becomes a bigger part of the customer experience.
Arcade Belts, known for its high-quality belts, wanted to improve efficiency without compromising customer experience. By implementing Gorgias Automate, they reduced their reliance on manual support, creating self-service flows to handle common inquiries.
Initially, automation helped manage routine questions, such as product recommendations and shipping policies. But when they integrated AI Agent, they cut their ticket volume in half.
The transition was so seamless that customers often couldn’t tell they were interacting with AI. “Getting tickets down to just a handful a day has been awesome,” shares Grant, Ecommerce Coordinator at Arcade Belts. ”A lot of times, I'll receive the response, ‘Wow, I didn't know that was AI.”
You can read more about how they’re using AI Agent here.
We mentioned it earlier, but deciding whether or not to disclose your use of AI in customer support depends on compliance, customer expectations, and business goals. That said, this four-part framework helps CX leaders evaluate the right approach for their brand:
Before making any decisions, ensure your brand is compliant with AI transparency regulations.
AI transparency should align with your brand’s values and customer experience strategy.
Rather than making assumptions, run controlled tests to see how AI disclosure affects customer satisfaction.
AI strategies shouldn’t be static. As customer preferences and AI capabilities evolve, brands should refine their approach accordingly.
If you decide to be transparent about AI in customer interactions, how you communicate it is just as important as the disclosure itself. Let’s talk about how to get it right and make AI work with your customer experience, not against it.
AI doesn’t have to sound like a corporate FAQ page. Giving it a personality that aligns with your brand makes interactions feel natural and engaging. Whether it’s playful, professional, or ultra-efficient, the way AI speaks should feel like a natural extension of your team, not an out-of-place add-on.
Instead of:
"I am an automated assistant. How may I assist you?"
Try something on-brand:
"Hey there! I’m your AI assistant, here to help—ask me anything!"
A small tweak in tone can make AI feel more human while still keeping transparency front and center.
Read more: AI tone of voice: Tips for on-brand customer communication
One of the biggest mistakes brands make? Leaving customers guessing whether they’re speaking to AI or a human. That uncertainty leads to frustration and distrust.
Instead, be clear about what AI can and can’t do. If it’s handling routine questions, product recommendations, or order tracking, say so. If complex issues will be escalated to a human agent, let customers know upfront.
Framing matters. Instead of making AI sound like a replacement, position it as a helpful extension of your support team—one that speeds up resolutions, but hands off conversations when needed.
Even the best AI has limits—and customers know it. Nothing is more frustrating than a bot endlessly looping through scripted responses when a customer just needs a real person to step in.
AI should be the first line of defense, but human agents should always be an option, especially for high-stakes or emotionally charged interactions.
A smooth handoff can sound like:
"Looks like this one needs a human touch! Connecting you with a support expert now."
AI disclosure doesn’t have to feel like an apology. Instead of focusing on limitations, highlight the benefits AI brings to the experience:
It’s the difference between:
"This is an AI agent. A human will follow up later."
vs.
"I’m your AI assistant! I can answer most questions instantly—but if you need extra help, I’ll connect you with a team member ASAP."
The right framing makes AI feel like an advantage, not a compromise.
AI perception isn’t static. Regularly analyzing sentiment data and customer feedback can help refine AI messaging over time—whether that means adjusting tone, improving explanations, or updating how AI is introduced.
When you follow these best practices, AI can be a real gamechanger for your customer support. Just take it from Jonas Paul…
Jonas Paul Eyewear, a direct-to-consumer brand specializing in kids' eyewear, needed a way to manage high volumes of tickets during the back-to-school season without overwhelming their customer care team.
To streamline these conversations, Jonas Paul implemented AI Agent to provide instant responses to FAQs. This allowed human agents to focus on more complex cases that required personalized attention.
“Being able to automate responses for things like prescription details and return policies has allowed us to focus more on the nuanced questions that require more time and care. It’s been a game changer for our team,” said Lynsay Schrader, Lab and Customer Service Senior Manager and Jonas Paul.
Jonas Paul saw a 96% decrease in First Response Time and a 2x ROI on Gorgias’s AI Agent with influenced revenue. You can dive in more here.
Whether or not your brand chooses to disclose AI in customer interactions, the key is to ensure AI enhances the customer experience without compromising transparency, accuracy, or brand identity.
So how can you get started? Gorgias AI Agent was built with both effectiveness and transparency in mind.
For every interaction, AI Agent provides an internal note detailing:
Excited to see how AI Agent can transform your brand? Book a demo.
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TL;DR:
Shoppers aren’t just open to AI — they’re starting to expect it.
According to IBM, 3 in 5 consumers want to use AI as they shop. And a McKinsey study found that 71% expect personalized experiences from the brands they buy from. When they don’t get that? Two-thirds say they’re frustrated.
But while most brands associate AI with support automation, its real power lies in something bigger: scaling personalization across the entire customer journey.
We’ll show you how to do that in this article.
Before AI can personalize emails, recommend products, or answer support tickets, it needs one thing: good data.
That’s why one of the best places to start using AI isn’t in sales or support — but in enriching your customer data. With a deeper understanding of who your customers are, what they want, and how they behave, AI becomes a personalization engine across your entire business.
Post-purchase surveys are gold mines for understanding customers — but digging through the data manually? Not so fun.
AI can help by analyzing survey responses at scale, identifying trends, and categorizing open-ended customer feedback into clear, actionable insights. Instead of skimming thousands of answers to spot what customers are saying about your shipping times, AI can surface those insights instantly — along with sentiment and behavior signals you might’ve missed.
Try this prompt when doing this: "Analyze 500 open-ended post-purchase survey responses. Identify the top 5 recurring themes, categorize customer sentiment (positive, neutral, negative), and surface any trends related to product quality, delivery experience, or customer support."
One of AI’s biggest strengths? Spotting intent.
By analyzing things like page views, cart activity, scroll behavior, and previous purchases, AI can identify which shoppers are ready to buy, which ones are likely to churn, and which just need a little nudge to move forward.
This doesn’t just apply to email and retargeting. It also works on live chat, in real time.
Take TUSHY, for example.
To eliminate friction in the buying journey, TUSHY introduced AI Agent for Sales — a virtual assistant designed to guide shoppers toward the right product before they drop off.
Instead of letting potential customers bounce with unanswered questions, the AI Agent steps in to offer:
With a growing product catalog, TUSHY realized first-time buyers were overwhelmed with options — and needed help choosing what would work best for their home and hygiene preferences.
“What amazed us most is that the AI Agent doesn’t just help customers choose the perfect bidet for their booty — it also provides measurement and fit guidance, high-level installation support, and even recommends all the necessary spare parts for skirted toilet installations. It’s ushering in a new era of customer service — one that’s immediate, informative, and confidence-boosting as people rethink their bathroom habits.”
—Ren Fuller-Wasserman, Sr. Director of Customer Experience at TUSHY
AI also helps you see the road ahead.
Instead of looking at retention and loyalty metrics in isolation, AI can help you forecast what’s likely to happen next and where to focus your attention.
By segmenting customers based on behaviors like average order value, order frequency, and churn risk, AI can identify revenue opportunities and weak spots before they impact your bottom line.
All you need is the right prompt. Here’s an example you can run using your own data in any AI tool:
Prompt: “Analyze my customer data to forecast revenue by segment. Break customers into at least three groups based on behavior patterns like average order value, purchase frequency, and churn risk.
For each segment, provide:
Here’s what a result might look like:
Instead of flying blind, you’re making decisions with clarity — and backing them with data that scales.
When used strategically, AI becomes a proactive sales agent that can identify opportunities in real-time: recommending the right product to the right shopper at the right moment.
Here’s how ecommerce brands are using AI to drive revenue across every part of the funnel.
Your prices shouldn’t be static — especially when your competitors, inventory, and customer behavior are anything but.
AI-powered pricing tools like AI Agent for Sales help brands automatically adjust pricing based on shopper behavior. The goal is to make the right offer to the right customer.
For example:
With dynamic pricing, you can protect your margins and boost conversions — without relying on blanket sales.
AI-powered chat is no longer just a glorified FAQ. Today, it can act as a real-time shopping assistant — guiding customers, boosting conversions, and helping your team reclaim time.
That’s exactly what Pepper did with “Penelope,” their AI Agent built on Gorgias.
With a rapidly growing product catalog (22 new SKUs in 2024 alone), Pepper knew shoppers needed help discovering the right products. Customers often had questions about styles, materials, or sizing, and if they didn’t get answers right away, they’d abandon carts and move on.
Instead of hiring more agents to keep up, Pepper deployed Penelope to live chat and email.
Her job?
“With AI Agent, we’re not just putting information in our customer’s hands; we’re putting bras in their hands... We’re turning customer support from a cost center to a revenue generator.”
—Gabrielle McWhirter, CX Operations Lead at Pepper
Let’s look at how Penelope performs on the floor:
A shopper asked about the difference between two wire-free bras. Penelope broke down the styles, support level, and fabric in plain language — then followed up with personalized suggestions based on the shopper’s preferences.
Using Gorgias Convert chat campaigns, Pepper triggers targeted messages to shoppers based on behavior. If someone is browsing white bras? Penelope jumps in and offers assistance, often leading to faster decisions and fewer abandoned carts.
If a customer adds a swimsuit top to their cart, Penelope suggests matching bottoms. No full-screen popups, no awkward sales scripts — just thoughtful, helpful guidance.
Penelope also handles WISMO tickets and return inquiries. If a shopper is dealing with a sizing issue, Penelope walks them through the return process and links to Pepper’s Fit Guide to make sure the next purchase is spot on.
By implementing AI into chat, Pepper saw a 19% conversion rate from AI-assisted chats, an 18% uplift in AOV, and a 92.1% decrease in resolution time.
With Penelope handling repetitive and revenue-driving tasks, Pepper’s team now has more time to offer truly personalized touches — like virtual fit sessions that have turned refunds into exchanges and even upsells.
Bundling is a proven tactic for increasing AOV — but most brands still rely on subjective judgment calls or static reports to decide which products to group.
AI can take this a step further.
Instead of just looking at what’s bought together in the same cart, AI can analyze purchase sequences. For example, what people tend to buy as a follow-up 30 days after their first order. This gives you powerful clues into natural buying behavior and bundling opportunities you might’ve missed.
If you’re looking to explore this at scale, you can use anonymized sales data and feed it into AI tools to surface patterns in:
Try this prompt:
"Analyze this spreadsheet of order data and identify product bundle opportunities. Look for: (1) products frequently purchased together in the same order, (2) items commonly bought as a second purchase within 30 days of the first, and (3) patterns in high-value or high-frequency product pairings. Provide insights on the most promising bundles and why they might work well together."
Just make sure you’re keeping customer data anonymous — and always double-check the insights with your team.
Related: Ecommerce product categorization: How to organize your products
AI isn’t just here to deflect tickets. From quality assurance to proactive outreach, AI can elevate the entire support experience — on both sides of the conversation.
Manual QA is slow, selective, and often feels like it’s chasing the wrong tickets.
That’s where Auto QA comes in. Instead of reviewing just a handful of conversations each week, Auto QA evaluates 100% of private messages, whether they’re handled by a human or an AI agent.
Every message is scored on key metrics like:
It gives support leaders a full picture of how their team is performing, so they can coach with clarity, not just gut feeling.
Here’s what brands can do with automated QA:
Let’s walk through a real example.
Customer: “Hi, my device broke, and I bought it less than a month ago.”
Agent: “Hi Kelly, please send us a photo or a video so we can determine the issue with your device.”
Auto QA flags this interaction with:
Reactive support is table stakes. AI takes it a step further by anticipating issues before they happen — and proactively helping customers.
Let’s say login errors spike after a product update. AI detects the surge and automatically triggers an email to affected customers with a simple fix. No need for them to dig through help docs or wait on chat — support meets them right where they are.
Proactive AI can also be used for:
This saves the time of your agents because the AI will spot problems before they turn into tickets.
Your customers are telling you what they think. AI just helps you hear it more clearly.
By analyzing reviews, support tickets, post-purchase surveys, and social comments, AI can spot sentiment trends that might otherwise fly under the radar.
For example:
Related: 12 ways to upgrade your data and trend analysis with Ticket Fields
Whether you’re enriching customer data, making smarter product recommendations, triggering dynamic pricing, or proactively resolving support issues, AI gives your team the power to scale personalization without sacrificing quality.
With Gorgias, you can bring many of these use cases to life — from AI-powered chat that drives conversions to automated support that still feels human.
And with our app store, you can tap into additional AI tools for data enrichment, direct mail, bundling insights, and more.
Personalized ecommerce doesn’t have to mean more work. With the right AI tools in your corner, it means smarter work — and better results.
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TL;DR:
Ecommerce brands are under pressure to convert more shoppers, but relying only on AI or human agents can lead to missed sales opportunities. While 34% feel that the use of AI improved their customer experience, according to Statista, 27% feel it hasn’t made a difference — suggesting that AI alone isn’t always the answer.
It’s true that AI speeds up responses and personalizes interactions at scale, while human agents build trust and close complex deals. But the solution isn't to choose one over the other.
This article will evaluate the strengths of both AI agents and human agents, offering insights to help you optimize and scale your pre-sale strategies using a hybrid AI-human intelligence approach.
Using AI and human support agents together in a hybrid approach will directly impact your success as a brand. It allows you to:
Reducing customer effort is one of the key ways to spark delight and satisfaction from customer interactions. The more stress-free and simple you can make navigating the shopping experience, the better.
AI comes in handy here in many ways, like:
All of these traits combined make a much easier experience for customers and an efficient, streamlined process for the brand. When agents aren’t bogged down with questions like these, they can focus on high-touch situations.
Pre-sales support moves the needle by answering crucial customer questions that might be blocking a purchase. Tools like Gorgias’s AI Agent for Sales make a world of difference on your store’s website. This tool has a 75% higher conversion rate than human agents, on average.
Here’s an example of what it looks like from bidet company TUSHY:
AI understands a shopper’s journey by tracking key behavioral signals: products and pages viewed, purchase history, and cart data.
The floating query bar transforms product search into a seamless conversation, eliminating the need for clicks, filters, or endless navigation. It allows customers to find what they're looking for through natural conversation with the AI Agent — wherever they are on your site.
Because AI tracks this information, it can personalize interactions based on the signals above. It does this by asking clarifying questions and remembering previous interactions in the same session.
This type of proactive support actually leads to more sales: it garnered almost 10k in revenue for jewelry shop Caitlyn Minimalist.
”Customers interact with the AI Agent like they would a customer service rep—it’s a two-way conversation where they answer questions and get personalized product recommendations,” says Gabi, Customer Service Lead at Caitlyn Minimalist.
That success was similar for beauty shop Glamnetic.
“An instant response builds confidence,” says Mia Chapa, its Sr. Director of Customer Experience.
“We live in a world with short attention spans, so customers appreciate how quickly we can respond to their inquiries.”
Quality assurance in CX is the process of ensuring that each customer interaction fits a specified list of criteria (communication, resolution completeness, attitude, etc.).
While this process has largely been a manual and time-consuming one, AI changes that for support teams.
AI-powered QA can actually review all tickets, is a scalable solution, is more consistent in its review process, saves time, and even provides instant agent feedback.
Manual QA, on the other hand, is a time-consuming and slow process, and often means feedback is delayed until leaders have the chance to review tickets. Even once they get to QA, there's a limit to how many tickets they can review in a given time frame.
Feature spotlight: Meet Auto QA: Quality checks are here to stay
AI can even make product recommendations for shoppers. These recommendations are based on browsing actions like if they repeatedly view the same pages and check return and shipping policies. It also tracks their entire behavior across your store: products and pages viewed, purchase history, cart data, and cart abandonment data.
Caitlyn Minimalist achieved incredible outcomes by leveraging AI for personalized recommendations:
“We've always based our customer service on a patient, empathetic point of view because a lot of people purchase for important moments in their lives—weddings, deaths, graduations. People are gifting in response to big life moments, so we need AI Agent to really listen to our customer’s situation and support them,” says Michael Holcombe, Co-owner and Director of Operations at Caitlyn Minimalist.
AI Agent can also handle objections and offer discounts, if price is what’s stopping customers from completing a purchase.
We’re not talking about reducing headcount. AI just supports agents in being able to handle their core responsibilities better. For example, mybacs was able to double the number of tickets they resolved without adding a single person to the team.
“This isn’t a matter of eliminating jobs, but giving our employees their primary jobs back," says Luke Wronski, CEO of RiG’d Supply. “Our hope is to have AI give us the time back to have a conversation with you about the stuff that keeps us stoked to do what we do.”
Aside from saving money on hiring additional human agents, AI helps your support team reduce costs in other ways.
For Dr. Bronners, that meant 4 days per month in team time-savings by handling routine inquiries efficiently, and $100,000 saved per year by switching from Salesforce to Gorgias.
Gorgias is hands down the best AI tool—not just for CX, but also for teams like web, ecommerce, and marketing. And our customers couldn’t agree more.
“We were hesitant at first, but AI Agent has really picked up on our brand’s voice. We’ve had feedback from customers who didn’t even realize they were talking to an AI,” says Lynsay Schrader, Lab and Customer Service Senior Manager at Jonas Paul Eyewear.
Here’s a complete rundown of how Gorgias’s AI Agent bridges gaps in customer experience:
Pain Point |
AI Agent |
---|---|
Limited working hours |
Operates 24/7 so customers don’t have to wait for a response. |
Juggling multiple conversations at once |
Can chat with as many customers as needed, and even remembers details within the same conversation. |
Answering repetitive questions |
Resolves frequently asked questions in seconds, freeing agents to focus on more complex requests. |
Limited time/lack of opportunity to provide proactive support |
Suggests solutions before customers encounter problems, uses advanced analytics to assess shopper intent, and adjusts strategies to nudge customers toward the checkout. |
Engaging customers with personalized messages |
Uses AI-powered intent scoring that evaluates user behavior, engagement, and responses in real-time to tailor responses, and sales strategy, and predict purchase likelihood. |
Using on-brand language across the team |
Consistently speaks in your brand’s tone of voice using Guidance and internal documents. |
Not enough time to focus on sales |
Engages customers with conversation starters, overcomes sales objections with recommendations, and guides users to purchase decisions with context-aware communication. |
A hybrid human and AI Agent approach is the best way to level up your customer support operations and sales strategy.
Book a demo with us to see the power of AI Agent.
TL;DR:
The start of a new year is the perfect time to give your help center the refresh it deserves. For many ecommerce brands, the help center is one of the most underused support tools—yet it's also one of the most powerful. 88% of customers already search your website for some kind of knowledge base or FAQ.
Customers expect fast answers, and a well-designed, updated help center can meet their needs while taking some weight off your support team. We’ll walk you through why refreshing matters and how to do it.
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90% of consumers worldwide consider issue resolution their top priority for customer service. A robust help center gives you the tools to meet this expectation, delivering fast and reliable solutions that simplify your customers’ lives.
A well-designed help center benefits both your customers and your team. For customers, it lets them solve problems quickly and independently. Instead of waiting for an email response or queuing for live chat, a help center empowers them to find answers on their own terms 24/7.
For your team, a refreshed help center is transformative, too. Here’s what a help center update can achieve:
In short, refreshing your help center will improve customer experience and boost efficiency across your entire customer service strategy. It’s a win-win for everyone.
Refreshing your help center doesn’t have to be overwhelming. By breaking the process into clear, actionable steps, you can transform your help center into a powerful self-service tool that delights customers and supports your team.
Here are four key steps to guide your refresh.
Before making any major changes, you need to understand where your help center currently stands. A thorough audit will help you identify areas for improvement and ensure you make targeted updates.
Here's how to start:
Dive into your help center metrics to spot underperforming content. Look at article views, time-on-page, and bounce rates. Low engagement might mean the content is unclear, irrelevant, or hard to find.
With a customer experience platform like Gorgias, you can view the performance of each article:
Customer feedback is invaluable. Use surveys or follow-up emails to ask customers what information they had trouble finding. Their responses can highlight blind spots in your help center.
At the end of each help center article, include a simple question like, "Was this content helpful?" Use the feedback to pinpoint which articles are effective and which may need improvement.
Put yourself in your customers’ shoes. Try searching for answers to common questions. Is the layout intuitive? Are the search results helpful? A smooth user experience is key to a successful help center.
Check if your articles are outdated or missing important updates, like new product features or policy changes.
Read more: How to create and optimize a customer knowledge base
Fresh, well-organized content is the backbone of a great help center. Customers rely on clear and accurate information, so investing in your content can transform your help center into a powerful self-service tool.
Here’s how to refresh your content and make it shine:
Regularly analyze support tickets to identify common and emerging questions. Integrate these into your knowledge base to address customer needs proactively and reduce incoming tickets.
Text alone isn’t always enough. Use images, GIFs, and videos to break down complex topics and make instructions easier to follow. For example, a quick explainer video can save customers time and eliminate confusion.
Princess Polly’s customer help center exemplifies what a great help center should look like. Its visually appealing design ensures that customers can quickly navigate to the information they need. Whether they’re looking for help with shipping, payments, returns, or any other issue, the intuitive layout makes the process simple and stress-free.
Gorgias lets you customize fonts, logos, and headers for your Help Center without any coding. If you want more customization, you can dip into HTML and CSS to tailor specific elements.
Ensure your content reflects your brand voice while staying approachable and customer-friendly. Consistency builds trust and reinforces your brand identity.
Need help finding your brand voice? Read AI Tone of Voice: Tips for On-Brand Customer Communication for guidance.
Review older content for inaccuracies or missing information, such as policy changes or new product details.
Use bullet points, short paragraphs, and clear headings to make articles easy to scan. Most customers skim for quick answers—design your content to match their behavior.
Even the most well-crafted help center is ineffective if customers can’t locate it. Ensuring visibility across all customer touchpoints is key to driving engagement and making self-service the first stop for support. Here’s how to do it:
Make your help center easily accessible by placing links in strategic locations, such as your website’s header, footer, and main navigation menu. Include links in transactional emails, like order confirmations, tracking updates, or shipping updates, where customers often have questions.
Optimize your help center articles with keywords your customers are likely to search for. Use clear, concise titles, meta descriptions, and headings to boost search engine visibility and help customers find answers directly from Google.
Use tools like automated chat and automated email responses to proactively surface relevant help center articles. For instance, when customers type a question in a chatbox, suggest related articles before escalating to a support agent.
Read more: Offer more self-serve options with Flows: 10 use cases & best practices
Don’t wait for customers to stumble upon your help center—promote it! Highlight it in onboarding emails, social media posts, and banners on your site.
Jonas Paul Eyewear ensures their help center is easy to access by prominently linking it in the website’s footer under the “Quick Links” section. The thoughtful placement ensures customers can quickly navigate to the help center from any page, making it a convenient resource for addressing their questions or concerns.
Read more: Boost your Help Center's visibility: Proven strategies to increase article views
Your help center isn’t just for customers—it will also level up your AI-driven support strategy. By structuring your knowledge base effectively, you enable AI tools to deliver accurate, reliable, and consistent answers to customer queries.
Here’s how to make it work:
Ensure your help center articles cover a wide range of customer questions in detail. This makes it easier for AI tools to pull relevant information and respond accurately.
Organize your content with clear headings, bullet points, and simple language. Well-structured articles are easier for AI to parse and interpret.
Use uniform terminology across articles to prevent confusion and ensure AI tools can quickly identify relevant data.
Keep your knowledge base fresh by adding new FAQs, updating outdated content, and incorporating customer feedback. Up-to-date information ensures AI tools provide answers that align with your latest products, policies, and services.
Periodically review how well your AI tools are using your help center content to address customer needs. Identify gaps in information and fine-tune articles as needed.
Dr. Bronner’s built their help center to power AI Agent, a conversational support assistant that answers both transactional and personalized customer inquiries in the same style as a human agent. Making this change helps the brand save $100,000 a year and decrease their resolution time by 74%.
💡Pro Tip: Transform your help center into an AI training powerhouse with Gorgias’s help center AI optimization guide. This guide offers actionable tips for making your knowledge base AI-ready.
By using your help center to power AI tools, you’ll improve customer self-service options and lighten the load on your support team. AI-enhanced support delivers faster resolutions, higher customer satisfaction, and a scalable approach to customer service.
Refreshing your help center isn’t just about improving customer experience—it’s a game-changer for your entire support strategy. With tools like Gorgias’s Help Center, you can empower customers to self-serve while equipping your team with the resources they need to excel.
In 2025, make your help center the cornerstone of your support operations—and watch the results speak for themselves.
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TL;DR:
Customer service helpdesks are essential for managing customer conversations, but support teams are looking to increase efficiency beyond being organized. Answering customer questions is the easy part for agents — the main challenge lies in making manual tasks like typing up responses faster. This is where helpdesk automation comes in.
The top helpdesks have automation features that solve issues without agents needing to sift through complex documents or advanced settings. Helpdesks shouldn’t only streamline the customer experience, they should also simplify the process of delivering that service.
This guide will explore the benefits of helpdesk automation, pinpoint the must-have features of a helpdesk, and highlight the leading automated helpdesks. By the end, you’ll be ready to put helpdesk automation into action and trim out the extra tasks from your workflow.
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An automated helpdesk is a customer service tool that uses automation and AI to synthesize customer messages from various channels. The goal of automated helpdesks is to handle repetitive tasks, like categorizing and routing support tickets, so agents have fewer manual tasks to do.
The Gorgias Helpdesk is an example of an automated helpdesk made especially for ecommerce merchants. Notable features include:
Helpdesks are brilliant tools by themselves but truly shine once combined with customer service automation. The time saved from automation leads to a significant drop in resolution times, and a boost in CSAT scores and revenue. Let’s take a closer look.
If you run an online store, you’re familiar with replying to the same messages about your shipping policy, returns, and products day in and day out. The beauty of helpdesk automation is how it handles frequently asked questions with self-service resources, like a knowledge base, that are available 24/7 and allow customers to get instant answers outside of business hours.
When you remove copy-pasting answers from your customer service responsibility list, support agents get time back to engage with high-value shoppers who are either loyal customers or at risk of churning. With more time to focus on complex tickets, response times will be faster, and customers happier.
Automation is a proven way to drive more revenue, not just a quick fix to smooth out the wrinkles in your support workflow. Working with 30 brands, Gorgias found that brands that automated 30% of their customer support tended to generate around 8.7% of their companies' revenue.
Automation is common in many helpdesk software, but the key is to focus on how the automation features can speed up support tasks.
Below are six essential automation features a helpdesk should have.
What is it? A website chat window for customers to get automated or real-time answers. The chat window’s visibility can differ on each webpage.
The manual task it replaces: Exiting the brand website and using a different channel (like email or social media) just to contact a brand’s support.
Why is it important? If the process of getting help is too complicated, customers are forced to switch to competitors with simpler solutions. But when you provide a clear way to receive support, customers get faster responses, are better informed, and more inclined to make a purchase.
The best part about Chat is it gives shoppers the option to either receive a quick, automated answer or chat with an agent if they prefer real-time assistance.
Success story with Gorgias: RevAir implemented Chat and increased response times by 93% and revenue to $76k per quarter.
What is it? One-click question-and-answer scenarios that occur in Chat. Quick Responses are not powered by a chatbot and use pre-set answers to reply to users.
The manual task it replaces: Responding to frequently asked questions (FAQs)
Why is it important? Quick Responses is your solution to 24/7 support when agents aren’t available. Giving customers a low-stakes method of asking questions lets them experience a more pleasant and low-pressure shopping journey.
Success story with Gorgias: ALOHAS nearly tripled growth by automating 83% of support with Chat and Quick Responses.
What is it? An in-chat order portal that lets customers track, cancel, and return their orders without contacting a support rep.
The manual tasks it replaces: Resolving where is my order? tickets, order return and cancellation requests
Why is it important? Customers who ask order-related questions typically have one of two goals: to track the status or change the status of their order. Basically, order management tickets aren’t unique and can be easily handled by automation. When you provide answers to your customers’ top priority (their purchase), you deflect a ticket from entering your inbox while improving customer satisfaction.
Success story with Gorgias: Topicals implemented Chat to reduce returns and ended up deflecting 69% of tickets from manual agent intervention.
📚 Read more: 12 best shipping software tools for ecommerce stores
What is it? Promotional messages in Chat that activate when visitors interact with your website.
The manual tasks it replaces: Spending money and time finding new customers, promoting storewide discounts and sales, upselling and cross-selling
Why is it important? Finding new customers is more expensive than retaining the ones you already have. Chat Campaigns acts as a virtual salesperson, making sure sales, promotions, and products are getting the attention they need. Even when agents are offline, Chat Campaigns work overtime to capture every visitor, effectively reducing cart abandonment, website bounce rate, and lost sales.
Success story with Gorgias: Glamnetic’s exit intent Chat Campaigns increased sales by 49%.
What is it? AI processes that declutter your email inbox of spam and easily answered inquiries
The manual tasks it replaces: Deleting spam emails, answering WISMO tickets, sending tracking links, and processing refund requests
Why is it important? Autoresponders handle routine inquiries such as order status or refund requests. This improves customer service response times and frees you up to focus on more complex issues that require a human touch. You can also gain insights into the effectiveness of your automation strategies with Autoresponders, allowing you to monitor what customers need more or less of.
Success story with Gorgias: Stoov leveraged insights from ticket information and increased CSAT to 4.9 with 10% cost savings.
What is it? An AI-powered recommendation tool that resolves questions with relevant Help Center articles
The manual task it replaces: Responding to product-specific inquiries
Why is it important? Answering product questions can get long, especially if agents are manually typing the same explanations and instructions over and over again. By offloading this repetitive and laborious task to AI, customers receive consistent and detailed answers, while agents focus on resolving one-of-a-kind tickets.
Article Recommendations combines the knowledge power of AI and your own Help Center to give customers accurate and personalized solutions. This allows curious shoppers to receive complete information about your brand and products since articles can include images, videos, and links.
Success story with Gorgias: TUSHY gained 25% in revenue from leveraging pre-sales education including the use of Article Recommendations.
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Within the diverse range of available options, there are five standout helpdesk platforms renowned for their remarkable features: Gorgias, Zendesk, Kustomer, Freshdesk, Help Scout, and Shopify Inbox. Let’s take a closer look at what each helpdesk offers.
Price: Starts at $50/month; billed per ticket
Best features: The only ecommerce-focused helpdesk, powerful and easy-to-use automation features
As more businesses rely on ecommerce platforms to offer their products, Gorgias stands out as the best helpdesk for merchants at all levels. Gorgias offers seamless integration with major ecommerce platforms like Shopify, BigCommerce, WooCommerce, and Magento and centralizes customer data and conversations within the platform.
Combining it with the AI-powered Gorgias Automate makes it a top contender for customer support teams seeking to streamline the customer experience and maximize the power of automated workflows. Gorgias Automate checks off all the boxes with foundational features like Quick Responses, Order Management, Chat Campaigns, Autoresponders, and Article Recommendations.
Price: Starts at $49/month; billed per user
Best features: Designed for enterprise companies, advanced reporting capabilities
Zendesk is favored by enterprise-level businesses for its excellent multi-channel support and strong reporting features like real-time data views and customizable dashboards.
However, while its specialty is raising customer satisfaction, users report dissatisfaction with Zendesk’s very own customer service due to unresponsiveness and difficulties with subscription changes. Despite these drawbacks, Zendesk's configurability makes it a valuable tool for larger businesses aiming to optimize their customer service operations.
Price: Starts at $89/month; billed per agent
Best features: Interface is easy to navigate, ability to add internal notes to tickets
Kustomer shines in organizing data and managing customer interactions. Though it may not fully meet the needs of ecommerce-based businesses, its strengths in streamlining support processes stand out. Users have noted some drawbacks such as a complicated search engine and limited mobile functionality. However, if a straightforward ticketing system is what you need, Kustomer may be the right fit.
Price: Starts free for up to 10 agents; billed per agent
Best features: Includes a free plan, innovative collaboration features for convenient ticket assignment
If you're a SaaS business, Freshdesk is a great pick, excelling in basic ticket management. Its ability to integrate seamlessly with non-ecommerce applications like Salesforce and Jira makes it valuable for tech companies. Large ecommerce stores, on the other hand, might find Freshdesk's features somewhat limited.
Freshdesk's solid ticket management system, coupled with its user-friendly interface, makes it a top choice for SaaS businesses.
Price: Starts at $20/month; billed per user
Best features: Intuitive user interface, extensive knowledge base and documentation features
Help Scout excels in managing inbound customer emails with its feature-rich toolset. Recent enhancements like help docs and video embedding have improved its functionality. However, workflow automation still needs improvement and can lead to unintended mass email responses.
The limitation of features like real-time chat on higher-tier plans and subpar support experiences are its weaknesses, but its streamlined email support and knowledge management make Help Scout a strong option for teams that rely on email support.
Price: Free for Shopify users
Best features: Native Shopify helpdesk solution for Shopify merchants, user-friendly interface
Shopify Inbox is favored by Shopify store owners for its excellent customer communication and user-friendly interface. Users appreciate its ability to centralize conversations and enhance customer engagement, which is great for brand-new merchants.
However, some find the initial learning curve challenging, with concerns over limited reporting features and inconsistent message notifications. Nevertheless, its cost-effectiveness and efficient customer engagement tools make Shopify Inbox a great pick for customers who don’t want to leave the Shopify environment.
Gorgias stands out as the only helpdesk designed explicitly for ecommerce businesses. Boasting an incredible 4.3/5 stars on Shopify, it offers unparalleled integration with major ecommerce platforms like Shopify, BigCommerce, and WooCommerce. Its suite of features is powered by advanced AI, streamlining ticket and order management, support workflows, and customer communication.
For ecommerce businesses looking to elevate their customer support experience, look no further than Gorgias. To see how Gorgias can transform your customer service, book a demo today.
TL;DR:
Amid the barrage of social media ads, email campaigns, and influencer endorsements that consumers navigate weekly, PWC highlights that 73% of people see customer experience as a pivotal factor in their buying decisions.
The techniques today’s customer service teams use are the foundation for those excellent experiences.
Below, learn five key customer service techniques for agents and four for CS leaders.
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Here are five essential techniques for agents to provide great customer service.
To deliver good customer service, agents should first aim to understand customers’ issues at the beginning of each interaction. Then, they can leverage other tactics like reframing statements and setting clear expectations.
Every customer service encounter is unique and should be approached with a fresh perspective. Here’s how to make sure you understand the customer’s issue before diving into problem-solving mode:
The words we choose in customer service can significantly impact the tone of an interaction.
Psychology professor Albert Mehrabian conducted insightful research on communication and found a fascinating breakdown: only 7% of a message's meaning is derived from the actual words spoken, while a much larger portion, 38%, is understood through tone. Meanwhile, body language proves to be the most influential factor, accounting for 55% of how the message is interpreted.
Since all customer conversations for ecommerce brands happen via chat, email, or on the phone (not face-to-face), agents can’t rely on body language. This means tone of voice becomes even more important for agents to get right.
How can you maintain positive language?
1️⃣ First, avoid negative words: “can't,” “won't,” or “don't” can often be reframed in a positive manner. Swap them for phrases like "I understand," "I'm here to help," and "Let's see what we can do," which are much more reassuring to customers.
2️⃣ Second, aim to be solution-oriented. Focus on potential solutions or next steps rather than dwelling on the problem.
What happens when a recent customer sends an email asking about how to fix a broken part from the product they purchased from you, and your agents don’t know enough about it to help?
Or, if your skincare line recently underwent a formula change that your agents get asked about, but they aren’t sure what was changed and how it alters the performance of your products?
Knowledge of the products you’re selling is critical for accurately informing customers and managing their expectations.
💡 Our recommendation: Encourage a culture of sharing by creating feedback loops across the entire organization. The product team should communicate product details and capabilities, marketing teams should share information about customer behavior, and support teams should share the pain points they hear from customers.
Plus, when one agent learns something new about a product, such as an undocumented use case or a common customer complaint, sharing this insight with fellow agents can enrich everyone with deeper product knowledge.
Every customer comes with a unique set of expectations and comfort levels, making flexibility in your communication skills a key skill for customer service agents.
Whether you’re talking on the phone or messaging the customer on Instagram, you can match a customer’s preferred style by recognizing customer profiles.
Pay attention to cues that suggest how each customer prefers to interact. Some customers are straight to the point, desiring quick, factual information with minimal fuss.
Others might appreciate a more personable and reassuring approach, especially if they're dealing with a stressful issue.
Take it from Deja Jefferson, CX and Consumer Insights Manager at Topicals: “I ensure that customer service provided by Topicals not only exhibits empathy when issues arise but should be seamlessly integrated throughout the entire transaction process. Our priority is to ensure that our customers feel fully supported at every step.”
If you use Gorgias Helpdesk to manage your customer support channels, you’ll easily be able to see historical conversations with customers to give you an idea of their preferred communication style. You can also leverage sentiment detection, a Gorgias feature that automatically detects the tone of voice the customer is using. Using sentiment detection, you can also prioritize support tickets based on customers' urgent needs.
Managing customer expectations is a delicate balance. You don’t want to overpromise services, but you also don’t want customers to feel like you aren’t able to help them.
The balance? Be optimistic about solving their issues, but equally crucial not to promise more than can be delivered. Here's how to set realistic expectations:
The truth is, you won't always have the answers customers want to hear. But being clear and honest with them can help them grasp why things are the way they are.
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Effective leadership in customer service hinges on empowering agents with the right tools and strategies to excel in their roles.
Considering that 78% of customers will switch to a competitor after multiple bad customer service experiences, it’s important for your team to be well-equipped for success.
Let’s talk about how to do that.
For customer service teams to excel, they require more than just basic customer information. Leads and managers can empower their teams by providing enriched customer data, leading to more personalized and efficient service.
A helpdesk software will make this easy — if it offers a range of integrations. This is an essential feature to look for because you want your helpdesk to mesh with your existing tech stack. Here’s why: agents need access to data beyond a customer’s name. Integrations are the only way a helpdesk can pull in this additional context.
We’re talking about past orders, historical conversations, engagement info, and conversion metrics into comprehensive customer profiles. This will help agents get a holistic view of the customer, paving the way for tailored interactions.
Bonus tip: Beyond your helpdesk, share any feedback you hear from customers with the rest of the team. Integrating your helpdesk with a tool like Slack can make this easy, and it’s one way the Love Wellness team actions quickly on the advice from customers:
“We have a channel in Slack dedicated to customer feedback. Dropping in feedback is part of the team’s daily and weekly responsibilities, which helps them get really familiar with all of the content.
“It also allows our team to dissect them and collaborate on how we can improve. You could also schedule recurring feedback share sessions with the Product or Website teams, or even invite them directly into Gorgias (at no extra cost) and create a dedicated view for product feedback, website feedback, and so on.”
—Amanda Kwasniewicz, VP of CX at Love Wellness
Templates are a big help for customer support teams, especially those who are strapped for time (which, let’s be honest, that’s 99% of them).
Two types to build include:
Gorgias offers dynamic, reusable answers, so your agents can build a template of canned responses for all your FAQs. These are easily accessible for agents to swiftly locate and use when replying to customers.
If you want some tips on how to craft these templated responses, check out this article with tips for responding to frustrated customers for a good start.
Just as every customer is unique, so too is every communication channel. Providing specialized training for agents in their chosen channels — be it phone, email, social media, or live chat — ensures they are not just familiar but highly skilled in navigating the nuances of these platforms.
But you can take this one step further by encouraging agents to become connoisseurs of specific product lines or types of issues. This deep dive into a particular area enables them to provide not just answers but insights, elevating the customer experience from good to great.
However, remember that specialization doesn’t mean working in silos. It's still crucial for specialized agents to also have a broad understanding across all areas.
💡 Tip: With Gorgias, you can auto-assign tickets to an agent based on issue or channel. This way, you’re routing tickets to agents who can best help every customer.
A tip that we love from Amanda Kwasniewicz at Love Wellness is the idea that to truly excel in customer service, a customer-first mentality needs to be woven into the very fabric of your organization.
This goes beyond the customer service department and includes everyone, from the C-suite to the front lines.
She suggests organizing workshops that paint the picture of the crucial role a customer-centric approach plays in every department. These sessions should highlight how each team member's contributions echo in the symphony of customer satisfaction.
“At Love Wellness, we believe that every single team member plays a vital role in creating a haven of care and understanding. That’s why we created an immersive customer experience training program that involves each and every one of us, including the president of the company and even our office manager!” she said.
Read more: Why customer service is important (according to a VP of CX)
For those who are eager to dive deeper into the world of customer service and sharpen their skills even further, Gorgias offers a treasure trove of resources.
Whether you’re starting from scratch or looking to refine your expertise, these materials are designed to enhance your understanding and execution of top-tier customer service:
Each of these resources is designed to instruct and inspire your customer service team to exceed expectations and create memorable customer experiences.
Exceptional customer service isn't just about the right words; the helpdesk tool you use is equally important to enhance efficiency and deliver exceptional service.
Gorgias is tailored to provide such support with innovative features that streamline your customer service processes. Let’s review a few in detail:
Macros are pre-scripted customer service templates that accelerate response times by using automation to tackle those repetitive but essential customer inquiries that come in droves. Think of them as pre-made customer service scripts.
Often called ‘empty-calorie tickets,’ queries like “Where is my order?” don't require personalized responses and can be time-consuming if handled manually. Automating responses to these repetitive questions frees your agents to focus on more complex issues.
Here are some other times when Macros help:
A staggering 88% of customers prefer to find answers independently, according to Statista. This tells us that the modern customer values autonomy, which is why self-service options are key.
Self-service options are resources for customers to get the answers they need without contacting an agent. These include FAQ pages, help centers, chat widgets, and interactive quizzes.
Here’s how each self-service option can benefit you:
Here’s a great example from BrüMate, which uses a product finder quiz in its customer knowledge base:
Live chat has become an indispensable tool for connecting with customers in real-time. Some inquiries present a great opportunity to sell a specific product, which Olipop shows here:
Gorgias live chat is designed to integrate seamlessly with the leading platforms for ecommerce customer support. It allows you to manage live chat tickets alongside those from email, phone, and social media, providing a unified interface to serve your online customers more effectively.
Chat campaigns can trigger when certain conditions are met (like visiting/dwelling on a certain page or being a repeat shopper). You can hit these targeted shoppers with personalized product recommendations or provide a unique discount code.
To sum it up: You're not only addressing customer needs in real-time with live chat but also creating opportunities to influence purchasing decisions positively.
Gorgias boasts a suite of over 100 app integrations, covering every facet of your store's tech stack like CRMs, loyalty tools, ERPs, and more. Some popular choices are Shopify (ecommerce), Okendo (reviews), Yotpo (loyalty rewards and referrals), and Recharge (subscriptions).
This extensive range means that Gorgias can likely connect with whatever tools you use to manage your ecommerce business, creating a streamlined workflow for your customer service agents.
The real win with these integrations? They let your agents get super personal with support.
When an agent pulls up a ticket, they’re able to see everything they need to know— past buys, loyalty points, you name it. This means they can give spot-on help that feels really tailored to each customer, cutting down on all that back-and-forth and making the whole experience smoother.
“Having quick access to previous order info in the helpdesk is super convenient and helps us turn our support agents into sales people.”
—Ian Anderson, Operations Manager @ mnml
When it comes to turning satisfied customers into sales, Gorgias users are living proof of the potential.
Take Kirby Allison, for instance, who saw a 23% uptick in conversions after automating 30% of their customer support tickets. Or consider TUSHY, influencing a whopping 25% of their sales through Gorgias Convert.
These success stories highlight a clear message: customer service strategy isn’t just about problem-solving but about creating opportunities.
Ready to see the difference a proactive customer-first approach can make for your bottom line? Give Gorgias a try.
Consumers are increasingly multi-screen and multi-channel. From desktop to mobile to tablet, they interact with businesses through Instagram DMs, Facebook Messenger, emails, support chat, and even phone calls.
Though omnichannel customer service lays a valuable foundation, communicating effectively as a brand involves weaving marketing, sales, and customer service into a cohesive omnichannel communication strategy.
An omnichannel communication approach makes it easier to talk to customers in a personal way, helping drive sales and keep customers loyal.
This article explores how centralizing communications offers your team — from marketing and sales reps to support staff — the tools and insights they need for a consistent customer experience.
By doing so, you don’t just react to customer needs; you anticipate them, opening avenues for proactive engagements that positively impact both relationships and revenue.
Omnichannel communication is a customer-centric approach that integrates different methods of communication and business channels into a unified, seamless experience for prospective and existing customers.
Omnichannel communication goes beyond just offering multiple avenues for customer interaction; it creates a seamless and integrated experience across all touchpoints.
Omnichannel communication focuses on three key facets—data unification, fluidity of customer interactions, and data-driven insights. By focusing on these key tenets, omnichannel communication moves beyond being a buzzword to a strategic approach that places the customer at the center of your business operations. This strategy allows retailers to deliver an experience that is consistent, contextually relevant, and highly personalized.
Centralizing customer data from various digital channels like email, social media, and in-store interactions enables a more consistent and personalized experience. Also, it serves as the foundation for customer profiles. These profiles are critical for delivering targeted offers, rewards, and personalized service to shoppers.
Customers don’t experience channels; they experience your brand. They want to transition effortlessly between online chats, phone calls, and physical visits and have a conversation pick up right where it left off. This seamlessness is particularly beneficial for ecommerce retailers, who can use these channels to provide real-time updates such as stock availability or order status, enhancing customer satisfaction and reducing friction.
Turn data into actionable insights. By analyzing integrated data across platforms, you can discern valuable patterns in customer behavior and preferences, allowing you to continuously refine your marketing strategies and improve the overall shopping experience.
Omnichannel communication moves beyond being a buzzword to a strategic approach that places the customer at the center of your business operations.
While the concept sounds promising, how does it manifest for a single brand?
Graza excels at omnichannel communication, offering its customers a seamless and enriched experience across various touchpoints.
Using Gorgias Live Chat, they provide real-time customer support, resolving queries when customer service reps are online. As an alternative, their customer service email channel serves as both a satisfaction tool and a means for personalized marketing, sending targeted offers.
On social media platforms — like Facebook, Twitter, and Instagram — they respond to customer inquiries and engage the community with educational content about their single-origin olive oils.
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This multi-layered approach ensures that every interaction is not just a transaction but an opportunity to deepen the relationship. The outcome is higher customer satisfaction and increased brand loyalty, leading to repeat purchases and a more robust bottom line.
We’re in a platform renaissance: retailers now have many ways to connect with customers.
However, not all channel strategies are created equal. Understanding the differences between omnichannel and multichannel approaches is critical to developing a communication plan that meets customer expectations.
Both omnichannel and multichannel strategies use multiple channels for customer engagement. Omnichannel takes it a step further by integrating data across these platforms. This provides cohesive and personalized customer experiences, rather than fragmented interactions that are often the result of multichannel approaches.
An omnichannel strategy focuses on offering a seamless customer experience across all touchpoints, whereas multichannel often treats each channel as an isolated silo. This can result in a disjointed and less satisfying journey for customers who hop from one channel to another, asking the same question to different customer service reps.
Omnichannel doesn’t just collect data; it leverages real-time analytics. This level of insight can drive data-driven decision-making, which is generally absent in multichannel strategies. This makes multichannel less effective for optimizing customer engagement and marketing efforts.
To make an omnichannel strategy work, you need strong tech systems that bring together data and tasks from different channels. While this may cost more at first compared to simpler multichannel setups, the benefit is happier customers and smoother day-to-day running of your business.
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In the retail landscape, multiple channels connect your brand and your customers. To harness the full power of an omnichannel strategy, you need to focus on integrating different types of customer service and specific channels that offer different advantages for customer engagement.
Selecting the right mix of channels allows you to meet your customers where they are and offer them a consistent and seamless brand experience. Keep in mind that different communication channels have different customer expectations. According to data collected by Gorgias from over 12,000 ecommerce brands, here are the average response times for different communication channels:
With that in mind, here are some channels to consider including in your own omnichannel communications strategy:
Email remains a powerful tool for businesses to speak to customers, allowing for targeted marketing campaigns tailored to specific customer segments. Personalized follow-up emails are also critical for nurturing long-term customer relationships and encouraging repeat purchases.
SMS is an increasingly effective channel for businesses, offering real-time customer engagement. Targeted SMS campaigns can reach specific customer groups with timely offers and updates, while personalized follow-up messages help sustain long-term relationships and promote repeat business.
Platforms like Facebook and Instagram facilitate immediate customer engagement and provide a wealth of data on customer preferences and behavior. This data can be integrated into your larger omnichannel strategy to refine marketing campaigns and product offerings.
Live chat offers real-time, on-site customer support, which can drastically improve conversion rates. Resolving customer queries and concerns in real time removes barriers to purchase and enhances customer satisfaction.
A dedicated mobile app can be a hub for personalized promotions and a streamlined shopping experience. A well-designed app can significantly boost customer engagement, build loyalty, and even integrate with your in-store experiences.
Physical stores are not just about sales; they offer tactile and immediate experiences that are challenging to replicate online. They also provide opportunities for cross-promotion with online channels, making a thoughtful in-store experience a vital part of a cohesive omnichannel strategy.
Even in the digital age, phone support retains its value. According to a report, 43% of consumers favor non-digital customer service methods, such as in-person consultations or phone calls. Many customers prefer the immediacy and personal touch of voice support, especially for resolving complex queries or deciding about high-ticket items.
Implementing an omnichannel strategy has far-reaching implications for your business, affecting everything from customer engagement to your bottom line. Here, we delve into how this integrated approach can drive revenue, increase customer loyalty, and offer other pivotal advantages for your ecommerce business.
A solid omnichannel strategy amplifies brand awareness by offering unified messaging across all customer touchpoints, whether social media, email, or in-store interactions.
This consistency strengthens brand recognition and facilitates customer engagement as they know what to expect from your brand. This multi-pronged strategy, leveraging both digital and traditional channels, ensures you’re where your customers are.
Parade, an undergarment brand committed to comfort and inclusivity, maintains a solid social media presence that includes customer support on platforms like Instagram and Facebook. Using Gorgias tools, Parade offers customers a seamless omnichannel communication experience.
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Omnichannel communication isn’t just about convenience — it’s a revenue multiplier. Customers who feel understood and valued across all touchpoints are more likely to become repeat buyers. This is achieved by harnessing data for personalization and ensuring consistent, real-time communication. Here’s how:
Earning customer loyalty is about creating brand advocates through consistently exceeding expectations. Exceeding expectations across all channels fosters a sense of reliability and trust in your brand. Here’s how:
BYCHARI is a luxury jewelry brand established in 2012, known for its unique and modern handmade pieces designed for women who desire luxury while appreciating simplicity. The brand excels in omnichannel communication, offering a variety of customer touchpoints, including a contact form, live chat powered by Gorgias, calls, and emails.
To empower customers 24/7, especially when live support is unavailable, BYCHARI also provides self-service options like comprehensive FAQs, and uses Gorgias Flows to automate tasks such as order tracking and management.
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Centralized data and analytics make your marketing campaigns smarter and more efficient. When you understand your customers’ behaviors and preference across channels, your targeting becomes dynamic and your messaging more personalized. Here’s how:
A holistic view of customer data from multiple touchpoints uncovers insights that can drive quick, informed decisions. This rich data not only refines marketing efforts but also helps product teams tailor their offerings. Here’s how:
An omnichannel communication strategy can transform customer engagement and drive meaningful business results. This section will guide you through the essential steps for crafting a practical omnichannel approach that aligns with your retail goals.
Understanding your customer’s journey begins with measuring engagement across multiple channels. Use analytics tools to capture key metrics such as click-through rates and time spent on various pages, providing a quantitative foundation for your omnichannel communication strategy. By comparing these performance metrics, you gain insights into which channels are most effective in capturing and holding customer attention.
While these analytics can offer a comprehensive view of customer activity on marketing platforms, don’t overlook support channels. Platforms like Gorgias can measure engagement metrics within customer support, supplementing your overall data collection. Gorgias Support Performance serves as a control center for tracking key metrics such as ticket volume and agent activity, offering actionable insights to improve customer experience and measure engagement across various platforms.
Combining this support data with your broader analytics will provide a fuller understanding of customer engagement, equipping you to refine your omnichannel strategy.
Employee training ensures that your omnichannel communication strategy reflects your brand’s voice and values. Developing a robust employee training program can instill these crucial elements in all customer-facing personnel, setting the stage for consistent brand representation. Real-life scenarios can serve as effective teaching tools, guiding employees on maintaining branding consistency during interactions, whether via email, social media, or SMS.
Given that companies evolve, your training materials must keep pace with any shifts in brand messaging or objectives. Regular updates to these resources can help your support team adapt to changes and continue to offer an aligned and cohesive customer experience across all touch points.
Don’t miss our article on customer service training, which provides 15 valuable activities your team can try to improve customer interactions.
When creating an effective omnichannel communication strategy, the importance of centralizing customer data can’t be overstated. A CRM system aggregating customer information from various touch points into one database is invaluable. It brings together disparate data and provides an integrated view of customer interactions, helping your team make data-driven decisions.
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To realize the full potential of this centralized approach, ensure your CRM seamlessly integrates with all communication channels your company uses, enabling real-time data updates. Data from customer support platforms like Gorgias can then be merged with the information in your CRM, enhancing the quality and depth of the customer profiles that drive your omnichannel strategy.
Effective omnichannel communication necessitates collaboration that extends beyond the confines of individual departments. One approach is to conduct regular cross-departmental meetings where teams can share and discuss customer data insights. This guarantees everyone is on the same page about customer behaviors and needs, contributing to a holistic customer engagement strategy.
All departments should be aligned to respond more cohesively to customer needs. Amanda Kwasniewicz, the VP of Customer Experience at Love Wellness, ensures that her team collaborates broadly by having an internal communication channel for discussing customer concerns.
“We have a channel in Slack dedicated to customer feedback,” she says. “Dropping in feedback is part of the team’s daily and weekly responsibilities, which helps them get familiar with the content. It also allows our team to dissect them and collaborate on how we can improve.”
Establish a feedback loop, particularly with customer service, to continually share frequently encountered customer issues and trends. This feedback can catalyze improving products, services, and customer communication strategies.
Elevate your omnichannel strategy by tailoring your communications to the specific channels your customers prefer. Leveraging your centralized customer data, identify which channels—email, social media, or in-app notifications—are most effective for reaching your audience. Then, craft personalized messages that are not generic but informed by customer behavior and past interactions.
Continuously monitor how well personalized customer service resonates with your customers by tracking engagement metrics such as click-through and open rates. Equally important is collecting and analyzing customer feedback to understand the qualitative impact of your efforts. Based on these insights, make necessary adjustments to your messaging strategy, ensuring it remains aligned with customer preferences and behavior.
According to a report from Statista, 88% of consumers anticipate that brands will offer self-service support options. Automation is vital for maintaining a 24/7 connection with your customers. Implement chatbots on your website and social media channels to answer frequently asked questions immediately, enhancing user experience and satisfaction through proactive customer service.
Employ customer experience automation tools like Gorgias Automate to configure automated Flows for common customer queries. Fable, a brand dedicated to elevating dining experiences with premium dinnerware, utilizes Automate to provide round-the-clock customer service. Their automated flows are designed to swiftly answer common customer queries, such as active discounts and return procedures, ensuring customers can always find the information they need.
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Despite the benefits of a unified approach to customer communication, a 2022 report found that only 12% of digital platforms are “highly integrated.” Gorgias can be your key partner in achieving an omnichannel communication strategy, offering core helpdesk capabilities designed to seamlessly integrate customer interactions across multiple channels. Gorgias ensures that you meet and exceed customer expectations while driving revenue.
Gorgias equips agents with enriched customer profiles, pooling data from different channels — including social media, voice, and SMS — to provide context during interactions. This feature allows for quicker, more accurate support, as agents don’t have to switch between each communication platform to gather customer history.
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Gorgias is a one-stop hub, consolidating communications from email, chat, social media, and more, enabling easier management and response. The centralized system facilitates proactive support, which can directly impact sales by addressing customer concerns before they abandon their shopping carts.
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Gorgias allows you to maintain consistent branding by customizing the look and feel of your customer support channels. This ensures that no matter the channel, customers always have a uniform omnichannel experience that reinforces brand identity and trust.
Cupcakes and Cashmere, founded by Emily Schuman in 2017, has gained a devoted following for its curated jewelry, loungewear, and home goods. To extend this trust and cohesiveness into customer support, the brand uses Gorgias, its chat widget color-matched to the brand’s palette, ensuring a visually seamless and engaging user experience across its website.
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If you’re focused on streamlining customer interactions across various channels, consider exploring what Gorgias offers. With features that centralize communication, enrich agent information, and ensure brand consistency, Gorgias aims to make the omnichannel communication strategy more manageable and effective for ecommerce retailers.
Take a closer look to see how these capabilities could fit into your existing operations and customer engagement efforts. To learn more about Gorgias, book your demo today.
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TL;DR:
As of June 2022, 64% of US customers prefer email when contacting brands, so it’s clear why email is a mainstay in customer support programs. Even still, the Internet’s snail mail can sometimes translate to a slow and negative experience.
So, how do you maximize email as a customer service channel? You use it as a stepping stone to point customers to faster support channels.
Email is simply the medium; the resources are your answer. From including Help Center articles in your emails to replacing a raw mailto link with a user-friendly contact form, we’ll present plenty of ways to transform email into an efficient support channel.
Like all channels, email has its benefits and weaknesses, but you can’t rely on it alone. Here’s what you can expect from email as a customer service channel.
It would be unwise to skip offering email support when more than half of customers prefer it over social media. Email support provides a vital bridge to connect with customers, especially if you’re a DTC business that can't engage with your shoppers in person.
Email can illustrate solutions for customers with embedded links, images, and attachments — something instant channels like social media DMs and SMS would handle with more difficulty.
For example, look below at Dr. Squatch’s eyecatching promotional email. Their use of multiple high-quality images, call-to-action buttons, social links, and logos proves how email can accommodate the most elaborate messages.
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If you have a digital footprint, email is almost always a requirement. You need it when creating a new account or when contacting people. It’s even accessible on all devices. Email’s prevalence means customers will expect online stores to offer email support at the very least.
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The average first response time for email is 7 hours and 34 minutes. While most people tolerate how slow email is, it still doesn’t make for the best customer service experience. Urgent customer questions about product defects or bank account issues require rapid responses that other channels are better suited for.
Email allows for more creative liberty than other messaging channels but also has downsides. Since customers are free to format their own subject lines and messages, the responsibility of sorting through your inbox is on your agents.
The problem here isn’t just about maintaining a clean workspace but ensuring urgent messages like angry customer emails aren’t overlooked due to a messy inbox.
Support teams often feel their inbox is an obstacle course rife with concerned customers and a flood of recurring questions. Luckily, there’s a solution: use a customer service helpdesk that can consolidate email and other support tickets to keep your inbox and support team at bay.
Here’s how to effectively use email as a support channel with a helpdesk like Gorgias.
Why? To maintain organization 🗂️ and increase service quality ✨
Plainly leaving your email address on your contact page can be intimidating for customers. What should they put in the subject line? Will they actually get a reply back? Since this contact method has practically no guidelines, you’ll want to set parameters to make reaching out more approachable.
How? Do away with a raw email link and use a contact form. Contact forms provide structure to emails. Thanks to step-by-step guidance through drop-down menus and required fields, you can sort emails even before they reach you.
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💡 Tip: We recommend that merchants don't direct customers to an email address for support. Instead, use a contact form to intake email support. Contact forms are superior because messages get structural data that helps customer service agents categorize and prioritize incoming tickets.
Why? To increase customer satisfaction (CSAT) score 👍
Don’t forget that you can start an interaction via email and move to a different channel. This tactic isn't new — it's known as omnichannel communication. After all, 46% of customers expect a response time of 4 hours or less, and if switching support channels is the key to providing faster service, then go for it.
How? Let’s say a panicked customer wants to reverse duplicate charges on their credit card ASAP. This interaction could take multiple back and forths spanning several business days. Instead, you can reap the benefits of voice support, SMS or WhatsApp by directing them to your phone number.
“Being able to organize and divert tickets internally, having a good FAQ, making sure that you're actually solving the problems instead of putting band-aids on them, all goes into [reducing] resolution time.” —Zoe Kahn, Manager of CX & Retention at Chomps
Why? To maintain organization 🗂️ and increase customer retention 🤝
A common customer service mistake is treating tickets on a first-come-first-serve basis. This can lead to more unhappy customers because some tickets are less urgent than others. This is where prioritization can be effective.
How? First, categorize incoming tickets with Gorgias Rules and Tags. Do this by determining the conditions for which tickets should be tagged with an “Urgent” tag. For example, emails containing the word “cancel” will be tagged “Urgent.” Now your most high-value tickets will be solved and your loyal customers won’t need to worry.
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How to prioritize unsatisfied customers: Set up a Rule to identify and auto-tag customer complaints as Urgent so you can turn their day around with exceptional customer service.
Why? To increase service quality ✨ and enforce brand voice 🗣️
Being an advocate for personalized customer service doesn’t mean automation needs to be off-limits. Automation can and should be your best friend.
Automating customer service reduces response times and standardizes service quality. Automation can also capture data from customer interactions, letting support teams make data-driven improvements to their operations.
How? Use Macros (pre-written sample emails) to immediately answer questions about common topics, such as shipping information, return policies, and product-specific questions. Macros are a convenient way to compose professional messages, like customer apology emails, while allowing agents to add a personal touch.
📚 Related: The risks & rewards of customer service automation
Why? To increase customer satisfaction 👍 and service quality ✨
The biggest challenge about sending emails as a business is striking a balance between valuable and bothersome. It’s not only about crafting attractive promotional emails but making even the most mundane “Your order has shipped!” emails pop with purpose.
How? Integrate your ecommerce platform of choice, whether it’s Shopify, BigCommerce, or Magento (Adobe Commerce), with Gorgias. You can view customer information from your chosen platform in the Customer Sidebar and extract the data to automatically populate emails.
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Why? To increase customer satisfaction score 👍 and reduce ticket volume 🔻
In ecommerce, a self-service resource is any resource that answers customer issues without talking to an agent. They include a Help Center (or knowledge base), FAQs, or automated chat widgets.
How? Create a Help Center with linkable articles that can be inserted into customer support emails. This is especially useful for new customers who may want to ask several frequently asked questions. A Help Center effectively acts as technical support, while freeing up agents to deal with more unique tickets.
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A successful customer support program should maximize self-service options to minimize manual effort.
How well are you serving your customers through email? The answer lies in measuring how quickly you accomplish support tasks like opening and closing a ticket. But it's not only about speed. Tracking metrics is invaluable for troubleshooting gaps in your customer service operations.
Here are three metrics that can shed a light on how well your customer support team is using email.
Average first response time is the average time it takes for your customer service team to send the first response to a customer after receiving a request.
🕒 Industry average: 18 hours (Timetoreply)
🟢 Time to aim for: Under 4 hours
🔻 What slows it down: Inadequate staffing, lack of automation, and poor prioritization
➕ How to improve it: Use automation like Rules, Tags, Macros, and more self-service options
Average resolution time refers to the average amount of time it takes to resolve or address a specific issue or request, typically measured in hours or days.
🕒 Industry average: 18.1 hours (Gorgias)
🟢 Time to aim for: Same day
🔻 What slows it down: Inefficient process, disorganized inbox, and complex issues
➕ How to improve it: Reroute tickets to faster channels like voice, and build self-service options like a Help Center
First contact resolution rate or FCR rate measures the rate of resolving a customer inquiry within the first interaction. An excellent FCR rate indicates that your support team is well-trained to be able to solve issues efficiently.
🕒 Industry standard: 70% (Fullview)
🟢 Rate to aim for: 78% (Qualtrics)
🔻 What slows it down: Complex issues and lack of customer service skills training
➕ How to improve it: Add more self-service options, ensure agents are given complete information on product/service knowledge and resolution techniques
[Callout] How to calculate FCR: Total number of requests resolved with one interaction in a single time period / the total number of requests in the same time period
Once you’ve got the hang of the basics, you can refine your operation by tracking 25 more customer support metrics.
Email is stronger when combined with other channels — no one knows this better than multitasking expert Gorgias.
As a powerful helpdesk tool, Gorgias offers omnichannel support and powerful automation features like Macros and Rules that make managing email effortless. You can even supercharge Gorgias with integrations to ecommerce apps like Shopify, Yotpo, and Shipbob to keep you focused on delivering support without distractions.
Ready to bring in a crowd of happy customers? Book a demo now.
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Today, 80% of customers say the experience a company provides is just as necessary as its products or services. Conversational customer support can provide more memorable experiences that keep shoppers engaged long-term.
And, conversational customer support doesn’t demand an endless investment of personal time. With the right tools and strategies, you can exceed customer expectations.
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Conversational customer support is an interactive approach to assisting customers with their queries and concerns. This communication style uses a range of channels, including live chat, messaging apps, chatbots, and even voice support, to engage customers in interactive and often real-time conversations across the customer journey.
The goal is to create a friendly and genuine interaction, which in turn enhances customer satisfaction, builds brand loyalty, and fosters long-term relationships with their customers. Consumers who rate a company's service as "good" are 38% more likely to recommend that company (according to the Qualtrics XM Institute).
When you walk into a physical store, you expect the staff to be knowledgeable, friendly, and ready to assist you.
The same principle applies to online shopping. However, traditional customer support often involves shoppers searching across a website for a contact center to make a phone call, where they’re then placed on long holds while waiting to contact a real human.
Conversational customer support, on the other hand, offers immediate responses, operates 24/7, and uses natural language processing for a more efficient and convenient customer experience. In return, businesses see the following benefits:
Today's customers expect rapid responses. According to Hubspot research, 2/3 of customers expect a reply in under 10 minutes. Embracing a conversational approach and automating your customer support channels can help you meet these expectations.
One way to achieve this is with Gorgias Automate, which allows you to offer 24/7 support and can answer up to 60% of your most repetitive tickets with a 0-second response time.
Personalization is one of the most important pillars of conversational service. But “personalization” has become a bit of a blanket statement over the years, so what does it actually mean?
Personalized customer support is about assisting customers based on their specific needs, preferences, and history with a business. It goes beyond generic responses and addresses customers on a personal level by using relevant data like purchase history and intent-based engagement.
That’s why it’s crucial to use a support platform that can pull relevant information about customers from the rest of your ecommerce tech stack (CRM, marketing automation, logistics), making it easier to automate tailored responses and give your agents all of the context they need to help customers efficiently.
Conversational customer service isn’t just good for improving customer satisfaction scores; it’s also excellent for your bottom line. McKinsey research has shown that improving the customer experience has increased sales revenues by 2-7% and profitability by 1-2%.
Customers at Gorgias often see this kind of success. For example, skincare brand Topicals increased sales by 78% using conversational customer support. Specifically, the brand uses Quick Response Flows to automate answers to common questions, such as:
All of this takes place within a self-service chat. These chat flows also guide shoppers to additional helpful resources in Topicals' Help Center or product pages. If a customer still has unanswered questions, a customer support agent can take over the conversation and chat with them directly.
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Businesses often avoid personalized support due to perceived cost and time constraints. However, providing personalized service can actually increase customer loyalty and boost revenue.
Automation, intelligent responses, and customer knowledge bases abstract away the tedious, repetitive questions support teams get daily. This frees up their time, allowing them to focus on driving conversions through pre-sales support and building strong customer relationships.
Take Stoov, the Dutch company known for its innovative heating cushions. A conversational approach to customer support helped Stoov achieve 10% in cost savings.
Thankfully, automation has come a long way since its earlier days. (We all remember those generic, one-size-fits-all answers that clearly came from a robot.)
Some helpdesks like Gorgias offer more interactive automation, which provides personalized answers based on customer inputs and key phrases.
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Conversational customer service can be seamlessly deployed across various communication channels, including websites, mobile apps, messaging apps, and social media platforms.
Taking a cross-channel approach means businesses (and their customers) aren’t limited to a single mode of communication. Instead, they can engage with customers across various channels, catering to diverse preferences and enhancing overall convenience.
Again—offering customer support across various channels doesn’t have to be challenging to manage.
Gorgias pulls in customer conversations from channels like email, SMS, Messenger, WhatsApp, and more to view and respond to customers in a single dashboard. Omnichannel communication demonstrates a company’s commitment to being present and responsive wherever their customers may be.
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As you know, one size doesn't fit all when it comes to customer service. Every shopper has their preference, so a blend of automated assistance and human touchpoints is necessary for exceptional customer support.
Let’s talk about six key channels to leverage.
Live chat is like having a helpful assistant available at the click of a button. It involves instant, text-based communication between a customer and a live support agent, accessible through a website or messaging platform.
This approach provides immediate assistance, helps resolve issues promptly, and adds a personalized touch to customer interactions.
One of our favorite examples is from Princess Polly. In its live chat widget, Princess Polly highlights several FAQs upfront. These are based on the most common questions the support team gets and help customers be more self-serve. Plus, it’s easy for the customer to get in touch with a live agent if they still need support.
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Phone support is the classic, tried-and-true method of customer service. Customers can call the business directly to seek assistance, ask questions, or resolve issues. Interaction happens in real-time with live human agents, creating a direct and personal connection.
Did you know an annual study on buyer behavior shows that 59% of consumers prefer the traditional medium of phone calls to reach customer support representatives?
In other words—yes, shoppers still use phone support, and it can be beneficial for you to offer it.
You can also manage phone support with the rest of your channels under one roof using Gorgias. For example, Try The World, a gourmet subscription service, uses live chat, email, and phone support as its three primary support channels.
"Another big time-saver is the fact that chats, emails, and phone calls are united under one customer view. This way, when a customer calls, we immediately see previous conversations with them."
- Amanda, Customer Support Manager, Try The World
After switching to Gorgias as its helpdesk to centralize all support queries, the team also integrated the helpdesk with Chargify and Shopify to pull in subscription and order data. All this information is readily available for each support agent — whether they’re providing support via phone or live chat.
This approach transformed Try The World’s efficiency — as a result, the team increased ticket handling from 80 to 120 per day while reducing response time to just one business day.
Messaging apps like SMS and WhatsApp have become integral parts of our daily communication. Both of these channels are helpful for brands that want to offer “on-the-go support.”
While these two channels are great for marketing purposes, they’re also perfect support channels. Think about it: SMS always has the highest open rates and is one of the most convenient ways for shoppers to connect with the brands they love.
As a support channel, you can complement your SMS marketing efforts. A good example of this is from Printfresh. The Printfresh team uses SMS often to share updates with customers. Customers can also use the same number to text the brand back and ask any support-related questions.
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While not instant like live chat, email and ticketing systems allow customers to submit inquiries or issues, which support agents address in an organized manner. Automated responses and ticket tracking enhance the efficiency of this method.
You may be wondering, how is email support conversational? First off, conversational support doesn’t always have to be in real-time.
Sometimes, providing well-thought-out, detailed responses via email or tickets can be equally effective, allowing customers to digest information at their own pace.
When you’re pairing these responses with personalized information (perhaps you already know the customer’s size, preferred tastes, or skin type), you’ll be able to respond effectively and guide customers through their decision-making.
Love Your Melon uses this approach with customer service email and social media support. Pulling Shopify variables into Gorgias, the team enables Macros to streamline personalized responses.
Aside from using usual variables in canned responses, such as the requester's name, email, or the support agent’s name, Macros allow users to add information pulled from Shopify. These order-specific variables include the order ID, the tracking URL of the last order, the delivery status, the shipping address, and many others.
With this single strategy, Love Your Melon can answer 25% of tickets automatically, reducing response time from 10 minutes to a few seconds.
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For the most part, social media support is straightforward: it involves engaging with customers through social media platforms such as Twitter, Facebook, or Instagram.
You can take this strategy one step further by responding to comments on these channels—all under the same roof that you handle other conversations.
Shinesty uses Gorgias to address their Facebook ad comments. And since they’re using automated responses to answer common questions, the customer support team has more time to get creative with responses to social comments (which has driven more conversions for the brand).
The best part? Your CS team doesn’t all have to share a single login anymore 😉
“The Facebook ad commenting has been very interesting. People have been converting right there, thanks to a simple social interaction.”
- Cody Szymanski, Customer Experience Manager, Shinesty
Customer knowledge bases might not involve direct human interaction, but they provide customers with a conversational interface to find information, troubleshoot problems, or access FAQs independently.
These portals are designed to be user-friendly and intuitive, empowering customers to find solutions on their own.
Tools like Gorgias’ Quick Responses via Gorgias Automate or article recommendations in live chat enhance the conversational aspect, allowing self-service portals to feed into chat interactions and make the experience even more engaging.
BrüMate's Help Center is a good one to get inspiration from. BrüMate addresses two common customer queries at the top of the page: returns policy and product compatibility, ensuring quick answers without scrolling.
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In case customers aren’t on the knowledge base, the same FAQs are featured in the brand’s live chat. These direct customers to answers immediately, but they can still reach out to talk to someone directly if they need to.
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“We have a great help center that attracts tens of thousands of monthly visitors who are then redirected back to the main site and in this circular motion where we don't want those customers to drop off." —Colin Waters, Director of Customer Experience at The Feed & former Associate Director of Customer Experience at BrüMate
Now that you know it’s easier to manage conversational customer support with the right tools, here are seven steps to implement this strategy without extra effort from your team.
Surprisingly, more brands than you realize are handling support by logging in and out of multiple channels. Imagine how much time you would save if you could see every email, phone call, comment, and ticket under one roof.
The first step to conversational customer support is setting up a helpdesk. Centralizing customer interactions allows your team to view message histories across all channels in one unified interface.
With over 65+ integrations across the ecommerce tech stack, Gorgias gives teams a comprehensive view of customer interactions and data, eliminating guesswork and enhancing efficiency.
Save your agents from repetitive typing. Apply automation tools like rules to share templated responses (called Macros in Gorgias) across support channels, speeding up responses and ensuring consistency.
And even after responding, you can automate more actions in your workflow. This could be to assign a ticket to an agent, add tags, or even cancel/refund an order right away.
Here’s an example of a Macro being used by the Darn Good Yarn team.
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Not all customer issues are equal. To solve this, implement rules that automatically prioritize urgent or important tickets. By prioritizing different issues, you enhance customer satisfaction and demonstrate your commitment to resolving the most important concerns promptly.
For example, if you’re in the midst of a busy holiday season, you’ll want to prioritize tickets like address change requests over others.
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Do you have a list of VIP customers? Or agents who specialize in certain products or support channels over others?
Prioritizing tickets based on agent specialization is one way to increase efficiency so your agents can use their expertise to help shoppers quickly. This also enhances problem-resolution efficiency.
Consider creating dedicated views that consolidate inquiries so specific agents see only what’s relevant to them.
According to Salesforce research, 63% of consumers expect businesses to know their unique needs and expectations.
By equipping your agents with valuable insights into customer history and preferences, your agents can personalize interactions and foster meaningful conversations.
Gorgias pulls in customer information like past order history, support tickets, social media comments, or subscription status. Agents can see all of a customer's past history with a brand in one place when they’re talking with them. This allows support teams to get the full picture of every customer they’re chatting with.
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One way to be conversational in your customer support is to anticipate customer needs and reach out proactively. That means sharing self-service resources like a help center or FAQ page. It also means addressing pre-sales questions that might be blocking them from making a purchase or making the right purchase.
BrüMate accomplishes this by featuring an interactive product finder quiz in its customer knowledge base:
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Remember, offering conversational support is only effective if it's easy for customers to reach out.
You can do this by prominently featuring support CTAs across your site, from product pages to emails and footer links. Every transactional email can subtly highlight how to reach support, ensuring customers know how and when to engage.
Conversational customer service bridges the gap between face-to-face interactions and online transactions. But it’s not just about addressing customer concerns; it's about creating meaningful connections and positive experiences, which are essential for customer retention and brand advocacy.
A key part of a conversational support strategy is simplifying the complexity of handling multiple channels. Every customer interaction and data point needs to live under one roof. Otherwise, it’s too difficult for teams to manage.
This is exactly what Gorgias does. We don’t want brands to have to settle for ordinary customer experiences. Your support is your foundation, and it should be easy to manage.
Sign up for free here to see how you can get more conversational with customers.
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The thought of automating repetitive customer service tasks has likely crossed your mind. But often, that consideration is followed by a train of concerns: Will automation eliminate personal touch? Will it reduce the quality of customer service? Will it replace human agents?
In reality, customer service automation (CXA) can enhance your revenue and increase customer satisfaction.
Read on to learn more about CXA and get four easy ways to automate. We'll also share a story of how one company successfully implemented CXA and gained 23% more conversions.
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Customer experience automation (CXA) refers to the process of automating and enhancing the interactions that customers have with a business. It involves using automation tools like a helpdesk, Macros, Rules, and artificial intelligence to automate various aspects of customer engagement, from pre-sales and support to the post-purchase stage.
A customer experience automation platform is a tool that can convert manual customer experience tasks into automatic processes. CXA platforms aim to alleviate the workload of human customer service agents while optimizing customer service operations.
Gorgias, for instance, is a leading example of a CXA platform, offering a wide range of powerful features, such as:
Implementing CXA is not just about lightening your team's workload, it's a transformative strategy that greatly influences how customers interact with and perceive your brand. CXA ensures that your team can focus on more intricate interactions, resulting in an improved ROI, increased customer loyalty, and offering personalized experiences at scale.
Customer service agents who have poor impressions of their companies say they don’t have all the tools they need to do their job. Factors like clunky software and insufficient training and processes all contribute to their experience, which, in turn, affects the overall customer experience.
The solution is to equip agents with powerful tools, like CXA, that will make their jobs easier and your customers’ experiences more enjoyable. Automation and an improved customer service ROI go hand in hand, leading to faster and more profitable customer experiences.
One of the immediate benefits of CXA is faster resolution times. With automation handling routine tasks like resolving where is my order (WISMO) requests and answering pre-sales questions, agents have more time to attend to complex support tickets and meet customer expectations with precise answers.
Most automation skeptics fear losing the human touch once you bring automation into the picture. However, the reality is quite the opposite. A comprehensive CXA strategy allows support teams to express their brand voice and personality through adjustable features like pre-written templates or Macros. If your CXA platform restricts you from customizing default responses, you should find a tool that can adapt to you and your customers.
Now that we've covered the theory, it's time for your support team to implement CXA. Below are the top four ways to quickly incorporate customer experience automation using Gorgias Automate. We'll provide details on each feature, offer tips to get the most out of them, and showcase examples of how these strategies have worked for actual merchants.
Quick Responses are predefined replies automatically triggered when customers ask specific questions in Chat.
When to use: For teams who receive a daily flow of frequently asked questions that require them to copy and paste the same responses.
Tips:
Real-world results: The stationery company Ohh Deer achieved an impressive average 4.95 CSAT score and generated about $12,500 per quarter after implementing Gorgias Chat alone.
📚 Related: Why customer service chatbots aren’t a great fit for ecommerce
Take advantage of efficient ticket triage by using Tags and Rules to ensure the most important tickets are addressed and complex tickets are routed to your most knowledgeable agents.
When to use: If urgent tickets (billing issues, product defects, and inquiries from returning customers) are getting buried in your inbox, you have a low retention rate, a high churn rate, or your inbox is disorganized.
Tips:
Real-world results: Drinkware brand BrüMate cut down their first response time from 5 hours to 1 minute and 30 seconds and drove $9M in revenue after they made use of Chat Campaigns and a Help Center (Gorgias’s customer knowledge base).
Colin Waters, BrüMate’s former Associate Director of Customer Experience, highlights that organizing Tags and Macros by their proper names keeps team onboarding running smoothly. He adds, “I'm very steady with naming conventions. I mean, my team must hate it. But anybody could come in and figure out what it all means without having a doctorate in CX."
Order management, including order creation, tracking, returns, and exchanges, is one of the aspects of customer service that is best suited to automation because of its repetitive nature.
When to use: If you get an influx of WISMO tickets and/or return-related inquiries in your inbox or need to streamline your order workflow.
Tips:
Real-world results: Jaxxon includes their Return Policy in Chat via Quick Responses and maintains an easily accessible Return Portal. By maximizing their self-service resources, they brought in a staggering 46% more in revenue.
Your articles shouldn’t only be found in your Help Center; make the most out of your resources by sharing them on multiple channels like Chat and email. Making your articles widespread gains you two benefits: an educated customer base and faster resolution times.
When to use: If you have a high return rate and negative customer reviews or sense a lack of understanding from your customers about your product.
Tips:
Real-world results: After creating Chat Campaigns that displayed welcome discounts and toilet compatibility checkers to shoppers, TUSHY achieved an impressive 25% increase in revenue and improved customer satisfaction. They also brought their bounce rate down by 37%.
If the previous real-world examples weren’t enough to convince you about automation’s integral role in CX, here’s another success story.
Kirby Allison, a luxury garment care business, struggled to handle a growing volume of repetitive and time-consuming tasks. Surviving on a minuscule two-person customer support team, they were drowning in tickets outside business hours.
Once they enlisted the help of Automate, it was a weight off their shoulders. Gorgias’s multifunctional Chat provided 24/7 support with Quick Responses, self-service Order Management, and Article Recommendations.
Immediately, Kirby Allison saw a 46% increase in sales, a 23% increase in conversions, and drastically reduced response times.
If you want to make huge successes easy wins — take the first step towards transforming your customer service and book a Gorgias Automate demo today.
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It’s true that a great customer experience is key to winning happy customers — but to keep a pulse on customer satisfaction, you need to dig a little deeper.
To understand the quality of a customer’s experience with your brand, you need to track Customer Effort Score (CES). This metric lets you evaluate your customer service efforts by tracking the level of effort a shopper must exert to fix an issue with your customer support team.
In this article, you’ll learn exactly how to track and monitor CES, as well as how to optimize your support strategy to minimize customer effort as much as possible.
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Customer Effort Score (CES) is a way ecommerce brands can accurately measure how much effort a customer has to exert in order to interact with your support resources.
This metric is relevant to any interaction a shopper might have that touches your customer support strategy, like:
The easiest way to measure customer effort score is by sending customers a survey after their interaction with customer success ends. In this survey, ask them to rate their service experience on a 1-10 point scale.
We’ll dive into the details behind how to create a survey to measure the amount of effort your customers take shortly.
📚 Related: 13 live chat support metrics
No shopper wants a high-effort experience. According to The Effortless Experience, 96% of high-effort customer experiences drive a customer to be disloyal to your brand — making retention nearly impossible.
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Clearly, it's worth the effort to make life a little easier for your customers — doing so will convince many of them to shop with your brand again.
When you calculate your customer effort score, you’re able to keep a pulse on exactly what it takes to create seamless experiences that lead to increased loyalty. The metric is a strong predictor of customer retention and can help identify pain points in your customer support strategy.
As we mentioned earlier, you can measure customer effort by sending customers a customer effort survey.
In this survey, customers are asked to rate their experience with customer support on a Likert scale from “less effort” to “a lot of effort”.
Let’s walk step-by-step through how to build a CES survey and how to send them to your customers. Then, we’ll look at how to interpret results once you’ve compiled enough data.
You can send a CES survey immediately after any customer interaction, like post-purchase.
To zoom in even more on customer effort, consider only sending a CES survey once a shopper has a service interaction with your support strategy, like chatting with a live agent, visiting a self-service portal, or clicking through an interactive FAQ page.
This way, you’re able to get an accurate idea of how easy, or how frustrating, your support touchpoints are.
A CES survey typically has one simple question that asks, “How easy was it to solve your problem today?”
Every brand tracks responses a little differently, using a scaled system. Here’s a few examples of different kinds of scales you can choose from:
A word-based scale lets respondents share their experience by choosing a word or phrase ranging from “very easy” to “very difficult.”
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A sentiment scale gives customers the option to share their experience using angry, happy, or sad faces to depict the emotion they felt while seeking support from your brand.
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A numerical scale lets customers share their experience using a scale of 1 to any number of your choosing. Some brands like a scale of 1 to 10, while others prefer scales of 1 to 5.
No matter what thresholds you set, 1 should always be the lowest, meaning the worst, and your end number should be the highest, meaning the best.
It's important to note that no option is better than another. The survey type you choose all depends on your shop’s needs.
Some brands might also ask an open-ended question as a follow-up so customers can share specific details about their experience.
You can send a CES survey question through email, SMS, or a similar channel to customers who recently reached out to your support team.
Of course, you can send a customer effort score question manually, but it takes precious time away from your reps who are busy handling active tickets. Automating the process means your agents can focus on more meaningful work, like following up with disgruntled shoppers.
Gorgias integrates with Delighted to provide easy-to-use survey templates to automatically distribute customer surveys, including for CES. Once a customer makes a purchase, it triggers Gorgias to automatically send a customer effort score survey to that customer.
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Like many other customer service metrics, you want to calculate your average CES in order to get a snapshot view of how most customers perceive their experience with your support resources.
If you want to calculate customer effort manually, start by tracking response data from your CES surveys over a given period of time.
The timeframe all depends on your goals. You can look at a month, quarter, half-year, etc. Ultimately, it's more important to be consistent with the timeframes you measure. That way, you can accurately track how your CES changes over time.
Once you’ve collected enough data, plug it into this simple formula:
Divide the number of customers who agree the interaction was easy by the total number of responses.
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To put it in actual numbers, if 100 people responded to your CES survey, and the total sum of their scores amounts to 800, that means your CES score is 8 (out of 10).
Like most other customer service metrics, there is no such thing as a standardized “perfect” benchmark for customer effort.
That’s because it all goes back to your brand and its goals. What makes sense for your customer effort might not translate to another ecommerce shop.
As a general rule of thumb, when it comes to CES you want your score to be as high as possible.
A high CES shows that your support strategy is clear cut and that customers have to exert minimal effort to have their problems resolved. Conversely, a low CES means customers find their experiences with your support resources arduous — putting your brand at risk of a high churn rate.
The best way to drive a high CES is to provide a painless and straightforward experience. If your CES isn’t quite as high as you’d like it to be, start by asking yourself these questions:
From there, you can look into ways to optimize your support strategy to boost your customer effort score.
To improve your customer effort score, you need to build pathways to make it as easy as possible for customers to find the answers they’re looking for. That means decreasing the number of steps it takes for a customer to complete a task and optimizing your first response time.
Research from Genesys shows that 94% of customers intend to make a purchase after a low-effort experience — versus 4% of customers after a high-effort experience.
Clearly, it’s worth the effort to optimize your customer experience.
Let’s look at some of the easiest ways ecommerce brands can lower their CES using functions commonly found in helpdesks.
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A knowledge base is a portal, of sorts. It connects your shoppers to both sales and customer service so they can make an empowered purchasing decision.
The beauty of a knowledge base is that is goes way beyond just a static library of articles.
BrüMate's Help Center is a learning environment where customers can go to in-depth knowledge about their products.
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Customers might not reach out to your agents immediately.
According to Gartner, 70% of customers seek out self-service options before contacting support.
Offering more self-service options also means you can deflect low-priority tickets so your agents can focus on solving more challenging customer issues.
We’ve already discussed a popular self-service option: knowledge bases. Here are some other examples of what customer self-service might look like:
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Many of the tickets your agents handle are repetitive.
Sure, tracking a customer’s order is important, but automation can handle these kinds of straightforward questions for your team.
In customer service, automation likely won’t replace your hardworking support reps. Rather, automation can work with your teams to improve workflows and optimize communication with your customers by tackling redundant manual work.
A helpdesk like Gorgias can help you completely automate 60% of repetitive tickets with a 0-second response time.
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Assigning ticket priorities is a best practice to empower your team to become more efficient. But you could spend all day on this task alone.
Ticket prioritization is another useful form of automation, assigning low-, medium-, and high-value to every incoming request. This way, your team can handle the higher-priority issues first.
Gorgias comes with advanced intent and sentiment detection features to automatically assign value to incoming tickets based on Rules that you can set.
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Macros are another form of automation that optimize a customer support team’s workflow.
Macros are pre-written, automatic responses to incoming customer requests.
Gorgias Macros automatically pull customer data into your messages, like name, order number, and shipping addresses. This makes for a more efficient conversation and helps customers get to a resolution with minimal effort for both the customer and the agent.
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Customer effort is a big slice of the pie when it comes to monitoring your customer experience, but it can’t show the whole picture on its own.
We recommend bolstering your CES efforts with additional metrics in order to add helpful context to your customer support strategy.
Customer satisfaction metrics such as CSAT score, Net Promoter Score (NPS), and customer churn rate (CCR) can all provide helpful insights into how your support team is performing.
Plus, it gives you a better look into the customer’s journey, so you can see how shoppers experience your brand — and give you ideas for how to boost satisfaction and drive loyalty.
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Customer satisfaction score (CSAT) is a metric to measure your customer base’s level of satisfaction with their experience.
The metric is one of the most important measurements your support team can track. Satisfied customers are the key to unlock loyalty, reviews, and referrals, along with returning customers that boost revenue for your brand.
With Gorgias, you can automatically send a customer satisfaction survey after each interaction with customer support:
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Net Promoter Score (NPS) is a commonly tracked metric that lets you learn how likely your customers are to recommend your brand to their friends and family.
This metric likely correlates closely with your CES. A customer who has had a great experience is likely to want to hype you up to their networks, versus a customer who had to put in a ton of effort to resolve an issue.
If you optimize your NPS, there’s a good chance your CES will also improve — which can lead to more repeat customers and a boost in customer loyalty.
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Ecommerce churn rate is the percentage of lost customers your business sees over a given period of time.
This metric is similar to Customer Churn Rate (CCR), which is typically measured by SaaS or subscription-based B2B companies. These companies can easily see when a customer cancels their subscription, making this data easy to monitor.
Ecommerce, or online stores, can measure churn rate by looking at negative customer feedback, like a high CES, in order to identify customers at risk for churn.
A helpdesk like Gorgias has the power to immediately optimize your customer service team — which, as we’ve learned, directly impacts the effort a customer has to exert with your brand.
Because Gorgias has purpose-built automation features like Chat, Macros, and ticket prioritization, it can empower your customers to find a resolution to their problems as fast as possible.
Sign up for Gorgias or book a demo to start tracking and improving your customer effort score today!
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Your first priority as a customer service manager should ensure fast, consistent, high-quality support.
However, good customer service management can be very complex, requiring technical skills and an understanding of many interconnected operational tasks. Strong people and team management skills are the foundation for success.
In this guide, you’ll learn customer service management and how to improve as a leader. Here’s everything we cover below:
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Customer service management is the role of running a customer service team in a way that ensures customer satisfaction, loyalty, and long-term retention.
This involves various tasks, from hiring agents to ensuring everyone on the team has the necessary tools and resources to do their job.
We can organize these tasks into two broad categories:
Customer service team management is the collection of actions the customer service manager takes to consistently enable agents to perform their job well. This can include a whole range of activities, including:
As a customer service manager, most of the success of the customer service team rests on you. It’s your job to build the team and the rules, systems, and guidelines agents will use daily.
A helpful starting point is to learn what a smoothly functioning customer support team should look like. This will help you lay the foundation for effective customer service management.
As with all other team activities, internal communication is the key to success. In a good customer service operation, agents are ready to communicate and have the tools to do so.
For example, Slack, Microsoft Teams, and other chat and video conferencing software should always be available for real-time communication in urgent situations. Asynchronous communication methods like email should be encouraged in other cases.
As a manager, it’s your job to set clear rules around communication methods in different situations (e.g., no real-time calls where an asynchronous email or Slack message will do). Good communication rules can guarantee that everyone values their colleagues' time and attention.
A good customer service manager ensures each agent knows:
The key here is that agents should have this information before they need it.
💡 Tip: Build a detailed hub of all the essential documents and information your agents need. This can include your customer service policy, refund and return policies, escalation rules, video walkthroughs of challenging situations, and much more.
“Remember, you can't pour from an empty cup –– taking care of yourself is beneficial for you and crucial for your ability to support your customers effectively.” - Eli Weiss, CX Unlocked
High-stress environments and burnout are all too familiar in customer service. This often stems from understaffing, poor training, or confusing workflows.
Eli Weiss provides a few great tips for avoiding burnout in his CX Unlocked Guidebook:
A big part of customer service management is evaluating your team’s performance. The only way to do that fairly is to use specific, measurable key performance metrics (KPIs). This ensures you’re evaluating agents objectively, giving them clarity and goals to aim for.
For example, response and resolution times are two of the most critical metrics for any support team. Keeping them consistently low shows a well-managed, prepared, appropriately trained team. It also shows that there are enough agents to handle the incoming inquiries.
The better your agents’ time management skills, the faster their response and resolution times will be. As a manager, you can help your team prioritize tickets and reduce the time spent on repetitive tasks with automation (like Rules) and pre-made template resources (like Macros).
Also, remember that while industry-standard KPIs are helpful, you shouldn’t use them just because other organizations do so. All KPIs should be tailored to your customer service and business goals — whether that’s higher customer satisfaction, better customer engagement, more revenue, higher on-site conversion rates, or anything else.
First-time managers can easily find themselves overloaded with information about customer service management. So, we’ve gathered five essential tips to help you get started.
This doesn’t just mean monitoring agents’ performance. It means being there for them when they need you, whether it’s about work or their personal lives. Team members must know they can count on you when it matters.
That’s also why regular 1:1s are essential. They allow you to check in on everyone and detect potential problems early on.
Customer self-service combines technology and resources, allowing current and new customers to resolve issues independently. For example, FAQ pages, articles, videos, self-service chatbot flows, and other resources can help massively reduce repetitive support tickets.
Besides being beneficial for your agents, offering self-service is a must for customers. According to Statista, 88% of customers in the US expect companies to provide a self-service support portal.
Eli quotes this tip from The Power of Moments by Dan and Chip Heath in his guidebook.
The premise? Focus on finding and fixing the problems your customers face before trying to wow them with exceptional customer service experiences. That way, you’re laying a good foundation for your customer service strategy.
Any customer journey has its low points (i.e., valleys). You can identify these with data analytics or customer feedback. Once you’ve addressed the problems, you can move on to creating the “peaks” that form a truly memorable experience and build customer loyalty.
Agents can’t be expected to do their job well without the necessary resources. As their manager, it’s your job to give them:
Customer service is ultimately about people, which makes it easy to let subjective opinions affect your judgment. However, accurate data is a much more reliable gauge of how your team is performing.
It allows you to avoid biases and enables key outcomes like customer satisfaction, loyalty, and retention to guide your decisions. We’ll explore some key metrics that can help you in this regard below.
Evaluating the impact of a customer service team can be a complex and nuanced task. There are many factors and metrics to consider, which can easily overwhelm first-time managers.
Below, we’re keeping things simple by focusing on three key ways to gauge your team’s performance.
The best way to get buy-in from stakeholders for your customer service program is to prove its impact on business outcomes. That’s why it’s a good idea to track metrics related to revenue, including:
This will help you prove customer service ROI and get buy-in for future new hires, software, or training.
Support interactions can massively impact customers’ overall experience with your brand. It’s crucial to keep a pulse on your customers’ opinions of them, especially since people who rate their experience with a company as very good are 94% more likely to buy again, according to Qualtrics.
You can do this by running regular customer satisfaction surveys. For example, you can run a quick, low-friction survey by asking customers, “On a scale from 1 to 5, how satisfied are you with your experience today?”.
Taking the total number of 4- or 5-star responses, dividing it by the total number of responses, and multiplying the result by 100 will give you a customer satisfaction (CSAT) score — a key metric for measuring support performance.
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You can use many quantifiable metrics to gauge your team’s performance. Here are some of the most widely used ones:
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Like with CSAT scores, Gorgias can track these metrics for you and give you a more nuanced view of them. For example, you can use our software to analyze average resolution time by channels, agents, time frames, and more.
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Helpdesks are platforms that help manage all of your customer service interactions. Collaborate on managing, organizing, responding to, and reporting on customer tickets. Or, set up automation for key processes like ticket prioritization.
For example, Gorgias can enable your team to:
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Customer self-service combines technology and resources that let customers resolve issues independently.
Self-service is great for your support team and your customers because:
Common self-service resources include:
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Customer service policies and service level agreements (SLAs) are among the first documents new agents should learn.
Without these documents, customer service agents can’t be expected to do their job well. That’s why ensuring they’re detailed, well-written, and included in each agent’s mandatory training is essential.
All agents need a solid foundation of knowledge before they can start resolving problems quickly and consistently.
The specific training topics will differ depending on your business. However, most support courses and training should cover:
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As you can see, a lot goes into being a good customer service manager. This guide will give you a good foundation for success in your journey, and you can get even more valuable tips in:
Finally, Gorgias can be your centralized customer service software that lays the foundation for a successful customer service management strategy. Our software can help your agents prioritize tickets, save time with automation, drive revenue with proactive customer service, and much more.
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