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:
The AI revolution in ecommerce customer support is already here. 77% of service teams are already using AI, and 92% say it improves time to resolution.
Brands that embrace AI can improve efficiency, scale faster, and deliver better customer experiences.
But what does that look like in practice?
In a recent Grow Your Business in 2025 with Conversational AI webinar, Kevin Gould, co-founder of Glamnetic, and Zoe Kahn, owner of Inevitable Agency & former VP of Retention and CX at Audien Hearing, shared how their teams use Gorgias’s AI Agent to streamline support, reduce workloads, and convert more shoppers into customers.
For them, AI isn’t just hype, it’s delivering real results—and Kevin and Zoe have seen it firsthand.
Ahead, we’ll break down Kevin and Zoe’s firsthand experiences, covering:
Watch the full webinar replay here:
As ecommerce brands grow, so does the demand for fast, high-quality customer support. But hiring and training more agents isn’t always scalable—especially when a significant portion of support tickets are repetitive, like “Where’s my order?” or “How long does shipping take?”
That’s where AI comes in. Instead of bogging down human agents with routine questions, AI-powered support can handle high ticket volumes instantly, freeing up CX teams to focus on complex issues, relationship-building, and revenue-generating conversations.
Both Glamnetic and Audien Hearing have seen firsthand how AI can transform CX. Glamnetic reduced manual responses by 15,000–16,000 tickets, while Audien Hearing saw AI outperform some human agents in both response speed and upselling.
Related reading: How to build an effective AI-driven customer support strategy
As Glamnetic scaled, so did its customer support workload. Managing tens of thousands of tickets while maintaining fast, high-quality support became a challenge. Many of the inquiries Glamnetic receives are repetitive––think order updates, shipping questions, and product details.
The brand needed a way to streamline responses without losing the personal touch.
Here’s what made the difference: Glamnetic used AI Agent to automate responses for thousands of tickets, allowing human agents to focus on higher-value interactions that drive customer loyalty and sales.
Kevin Gould, co-founder of Glamnetic, was excited about infusing AI across the entire business. “CX felt like the first natural extension. A big part of that was [Gorgias] pushing us into it pretty quickly. We saw early on that AI could be a force multiplier for the business."
The results speak for themselves:
Read more: How Glamnetic uses AI Agent to handle 40% of Support Volume with "mind-blowing" results
"What’s really interesting is that AI handled 24% of tickets across the entire year…Now, we’ve gotten much smarter about how we deploy AI for revenue generation, and it’s been highly impactful. It’s well worth your time to deploy this across your company." —Kevin Gould, Co-founder, Glamnetic
Scaling customer support while keeping costs in check is a challenge for any fast-growing ecommerce brand—especially one focused on retention and long-term customer relationships.
For Audien Hearing, this meant managing a team of over 80 support agents while ensuring that every interaction added value to the customer experience.
Rather than endlessly hiring more agents, Audien Hearing turned to AI to optimize. AI Agent helped them handle high ticket volumes faster, without sacrificing quality. With AI handling routine inquiries, their team was able to focus on higher-value conversations that drove long-term growth.
Zoe Kahn, former VP of Retention & CX, notes the importance of efficiency when managing large teams, “Once you reach that scale, you have to figure out how to be efficient and adapt to the right tools. AI helped us a lot. That said, it’s not a magic button. It takes training and adjustment. Adopting AI with Gorgias has allowed our team to focus on the tasks that truly need a human touch."
The impact was undeniable:
Read more: How Audien Hearing increased efficiency for 75 agents and reduced product returns by 5%
"[AI Agent] ended up being one of our fastest agents—answering the most tickets and driving the most revenue. A lot of that revenue was potentially missed revenue because these were customers sitting on the site, asking questions about the products, and wanting an answer now so they could purchase…Now, AI can answer those questions immediately and convert those customers." —Zoe Kahn, former VP of Retention & CX, Audien Hearing
AI in customer support still raises eyebrows. Some brands worry about losing the human touch, while others fear AI will replace agents rather than support them.
Even Zoe Kahn was initially skeptical about AI’s role in customer experience:
"I wasn't fully convinced at first—I wanted humans talking to my customers. But as soon as I saw it working well, and just as great as some of my agents, if not even better because of faster responses, and we're having agents train it... it's much easier now with a bunch of wins.”
What changed? Seeing AI in action—handling repetitive, time-consuming tasks like order tracking and FAQs, while human agents focused on complex cases, upselling, and retention.
For Kevin Gould, AI wasn’t brought in to cut costs but to help the CX team work smarter, not harder:
“We try to think a lot about how to work smarter, not harder. On one end of the spectrum, there's a lot of tedious, repetitive emails that can be automated right off the jump. Then as you move up the stack, from servicing up to generating revenue, it starts to get really interesting. If our ultimate goal is to provide customers with the best experience possible, then why not free up our agents from tedious tasks and double down on the things that push us towards that goal?”
The key takeaway? AI isn’t automation just for the sake of automation. It’s for scaling smarter and freeing up CX teams to have the right conversations at the right time.
Related reading: How to automate half of your CX tasks
AI in ecommerce customer support started as a cost-saving tool and is now proving to be a revenue driver. Looking ahead to 2025, AI’s role in personalization, proactive selling, and marketing integration will only grow.
For Zoe Kahn, the future of AI involves building stronger customer relationships:
"Take time to create community with your customers. Have the ability to think not only about revenue driving but also customer retention. Every time you have an opportunity to talk to a customer, take it. If teams don't have that time that could be freed up from training an AI agent, we see them rushing through replies that could really ruin their relationships with customers."
This shift toward AI-powered personalization is something Kevin Gould is already seeing in action. He predicts AI will become a key player in conversational selling, guiding customers to the right products at the right time:
"Eventually, we'll get to a place where AI is going to become a great recommendation engine. If we sell press-on nails, and a consumer has bought a few different styles in the past, AI can quickly pivot into conversational selling."
Beyond support, Kevin also believes that AI is blurring the lines between CX and marketing. As brands gain deeper insights into customer behavior, AI-powered support will help fuel marketing campaigns, drive retention, and create highly personalized experiences:
"If I asked [my support agent] how she sees her job, she’d say it started four years ago as customer service, then evolved into customer experience. Over time, different layers of customer experience emerged to the point where it's now an integrated marketing role.
She's collaborating closely with marketing specialists—growth marketing, brand marketing, and more. At this point, this role is almost like an extension of the marketing team...It requires a balanced mindset that blends marketing expertise with a deep understanding of customer experience to be successful."
Related reading: 6 ways to increase conversions by 6%+ with onsite campaigns
In 2025, AI will go beyond responding to customers. It will anticipate their needs, personalize their journey, and turn support into a revenue-generating powerhouse.
As Kevin Gould and Zoe Kahn shared, brands that embrace AI free up their teams to focus on high-impact conversations that build loyalty and boost sales.
From Glamnetic reducing 15,000+ manual responses to Audien Hearing’s AI-powered revenue wins, the results speak for themselves. AI helps brands personalize support, engage customers in real-time, and even drive conversational selling.
Ready to see how many routine tickets you could automate? Book a demo to see AI Agent in action.
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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:
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.
Managing customer support as a Shopify store owner can feel like juggling too many tools at once.
Constantly switching tabs to look up orders, update customer information, or track returns wastes valuable time. Plus, it prevents your team from focusing on what really matters––delivering quick, personalized customer service.
Gorgias’s Shopify integration solves this. It keeps all your Shopify data in one place, so your team spends less time toggling tabs and more time helping customers. The result? Faster responses, better service, and more revenue.
Below, we break down the eight key capabilities of this integration, each paired with practical use cases to showcase its real-world value.
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What it does: Shopify order data is displayed directly within support tickets, allowing agents to view essential details like order status, customer information, and transaction history without leaving the helpdesk.
Use case: An agent handling a “Where’s my order?” request can instantly check tracking information and update the customer.
The fashion retailer Princess Polly improved their customer experience team’s efficiency by using Gorgias's deep integration with Shopify. Agents can view and update customer and order data directly within Gorgias, eliminating the need to switch between multiple tabs.
Taking a streamlined approach led to a 40% increase in efficiency, an 80% decrease in resolution time, and a 95% decrease in first response time.
What it does: Agents can update Shopify order and customer data with Shopify Actions right in Gorgias.
Key features:
Use case: Agents can perform Shopify actions directly from Gorgias, such as adding products, applying discounts, updating quantities, or issuing refunds.
What it does: Create templated responses called Macros with dynamic Shopify variables to automatically incorporate customer-specific information.
Key features:
Use case: A customer inquires about their order. With one click, the agent uses a Macro that pulls in the order status and expected delivery date, creating a faster and more personalized response.
Take Try The World, a gourmet subscription service, needed a robust Shopify integration to handle an increasing volume of customer inquiries. By switching to Gorgias, they gained the ability to unify conversations and embed Shopify data directly into Macros. Now, agents could quickly generate personalized responses that included order details, tracking links, and customer-specific information.
Try the World’s support team’s efficiency skyrocketed, enabling them to handle 120 tickets per day, up from 80, and reduce response times to just one business day.
What it does: Macros with embedded Shopify data let agents quickly and accurately share pre-sale information like product links, stock availability, and discount codes, helping to convert prospective customers into buyers.
Key features:
Use case: A customer asks if a specific product is available in their size and color. The agent can apply a Macro that automatically pulls the product's inventory details and includes a discount code, sending a response like this:
“Hi {{ticket.customer.firstname}},
Great news! The product {{ticket.customer.integrations.shopify.products[0].title}} is currently in stock in the size and color you’re looking for. You can check it out here: [Product Link]. Use the code WELCOME10 at checkout for 10% off your first order! Let me know if you have any other questions!”
How it helps:
What it does: Using Gorgias’s chat widget, customers can track orders or manage their purchases on their own with no agent assistance needed.
Key feature:
Use case: A customer wants to check the status of their recent purchase. By accessing the Chat widget on your website, they can enter their email and order number and receive instant updates on their order's progress, including shipping and delivery information, without waiting for an agent's response.
How it helps:
What it does: Rules paired with Shopify variables can automate various support tasks, such as identifying specific customer segments or tagging tickets, to boost efficiency and consistency.
Key features:
Use case: A customer with a history of substantial purchases contacts support. A rule detects that the customer's total spending exceeds a predefined threshold and automatically tags the ticket as "VIP."
This tag can then trigger other workflows, such as assigning the ticket to a senior support agent or escalating its priority.
How it helps:
What it does: Gorgias offers comprehensive reporting that allows you to measure how your support interactions influence sales.
Key features:
These metrics are accessible under Statistics → Support Performance → Revenue in your Gorgias dashboard. You can filter the data by integration, ticket channel, tags, or specific time periods to gain detailed insights.
Use case: By analyzing Revenue Statistics, you can identify which support channels or agents are most effective in driving sales. For example, if live chat interactions have a higher conversion rate, you might allocate more resources to that channel.
Additionally, recognizing top-performing agents can inform training programs to elevate overall team performance.
For example, One Block Down, a Milan-based streetwear brand, struggled to manage a growing volume of customer inquiries across multiple platforms. By integrating Gorgias with Shopify, they centralized all customer interactions into a single platform, giving agents instant access to crucial information like order history and returns directly within tickets.
The setup allowed the team to measure the direct impact of their support efforts on revenue.
The result? An impressive 1,000% increase in support-generated revenue and a 1-hour average first response time. By connecting the dots between customer service and sales performance, One Block Down demonstrated how proactive, data-driven support can directly influence the bottom line.
How it helps:
What it does: AI Agent automates Shopify actions like canceling orders, editing order details, and reshipping items.
Key features:
Use case: A customer realizes they've entered an incorrect shipping address shortly after placing an order. They contact support, and AI Agent promptly verifies that the order is unfulfilled, confirms the correct address with the customer, updates the shipping information in Shopify, and sends a confirmation email—all without human intervention.
How it helps:
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Since ChatGPT was introduced in November 2022, customer service automation has stormed its way into almost every industry, including ecommerce. This leap in technology has paved the way for companies to increase their support efficiency dramatically, as demonstrated by the buy-now-pay-later service Klarna, which recently resolved two-thirds of customer service chats with AI.
The business gains arising from automation are evident. Faster and smarter tools mean less time handling mundane tasks and more time improving the customer journey with meaningful conversations, personalized experiences, and seamless upselling opportunities.
At Gorgias, our mission is to elevate customer experiences with automated solutions. To determine the impact, we analyzed data from over 14,000 merchants who use automation compared to those who do not.
Our data revealed a 36% increase in repeat purchases, a 37% reduction in first response time, a 52% reduction in resolution time, a 27% decrease in the ticket-to-order ratio, and a 1% increase in CSAT when automation is used.
These compelling results assert our belief in automation as the next, inevitable step for scaling support teams.
“AI is going to help us transform ourselves into deeper thinkers by taking over simple, standardized functions” —Ron Shah, CEO and Co-founder at Obvi
Before automation, customer service teams scrambled to hire more agents as their customer bases grew. When Black Friday and other peak seasons arrived, hiring more agents was the Band-Aid fix. Today, companies are opting for leaner support teams as automation allows them to do more with less. The benefit? Teams can scale and improve the quality of service without temporarily bringing on new staff.
Automation works like a junior support agent but at a higher efficiency. It can handle frequently asked questions like where is my order? and customize responses according to brand voice. So, as repetitive tasks are handled in the background, agents can focus on more complex tickets, such as product-specific questions or technical issues that require troubleshooting.
“Before, agents had to handle it all. Now, they rarely take a ticket about frequently asked questions. They’re only handling escalations, special product-related questions, and things like that.” —Caela Castillo, Director of Customer Experience, Jaxxon
The flexibility of automation makes it the ideal tool for personalized customer service. Aside from being a keyboard shortcut or macro, automation can be a hands-off assistant that can engage customers and influence as much as 25% of revenue.
At Gorgias, automation is at the core of our products, powering almost every feature in Helpdesk, Automate, and Convert. It allows merchants to deliver delightful and personalized customer interactions across various channels and touchpoints in the customer journey.
While automation is only one of many factors, we’ve found it to positively impact support performance metrics. Based on our data, merchants who used automation saw clear improvements in repeat purchase rates, response times, resolution times, tickets per order, and CSAT scores.
Retaining customer loyalty is challenging even when brands launch loyalty programs, as customers are discouraged by the effort required to receive rewards. However, Gorgias data shows that simply using automation can increase repeat purchase rates. Within 28 days, merchants who automated up to 20% of tickets increased their repeat purchase rate by 8 points.
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Yoga apparel brand Manduka used Gorgias Convert's on-site campaigns to influence customers to purchase multiple products. The campaign convinced shoppers to hit a $100 order total for free shipping by recommending small additional items they may be interested in. Their campaign brought in nearly $12,000, proving that automation can directly affect revenue.
“We want to be able to target our repeat customers who have purchased a lot, and say, ‘Welcome back! Here's a new product that would go wonderfully with the item you bought last time.’ It would be a wonderful translation of the in-person retail experience where staff know what you like, so they can assist you better.” —Jessica Botello, Customer Service Manager at Manduka
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Automated responses resolve tickets in zero seconds and result in faster first response times. On average, merchants using automation respond 37% faster than ones who don’t automate customer service.
Responding to customers as quickly as possible is especially important during busy seasons like Black Friday and Cyber Monday so that revenue-generating questions don’t get pushed to the backlog. The customer experience team at health supplement brand Obvi was able to drive 3x more purchases from support conversations compared to previous years.
Faster response times also mean agents are able to make stronger connections with customers. For Obvi’s CX team, it translated to more time to engage with their vibrant Facebook community:
“Instantly, our CX team had time to prioritize important matters, like being active in our community of 75,000 women instead of sitting answering emails.” —Ron Shah, CEO and Co-founder at Obvi
When customer tickets are automated, resolution times improve dramatically. Merchants using automation resolved tickets 52% faster than those without.
Automation is especially helpful in answering pre-sales questions. High-end luggage retailer July deflected 450 tickets a month immediately after activating Quick Responses, one-click FAQs that live in Chat. Their Head of Operations and CX, Alex Naoumidis, notes that setup was “so easy, with a huge payoff.”
This significant efficiency gain ensures customers are well-educated about their products, leaving agents time to personalize the rest of the customer journey.
As automated responses provide quick solutions to customer issues, customers need to contact support less. Based on our data, brands that automate 10% or more of their tickets see a decrease in billable tickets per order. Brands with little to no automation do not see a significant improvement in the ticket-to-order ratio.
For apparel brand Shinesty, automating more than 10% of tickets greatly decreased the number of tickets per order by 27%. Self-serve tools like interactive conversations called Flows and Article Recommendations enabled customers to solve issues relating to discounts, subscription policies, and returns on their own.
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“Automate would be useful for any ecommerce company that needs to lower their ticket counts, or wants to provide a more consistent experience.” —Molly Kerrigan, Senior Director of Retention at Shinesty
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Thirty days after setting up automation in Gorgias, brands enjoyed a 1% increase in CSAT score, a 4.51 score compared to 4.46 for non-automating brands. Even though satisfaction only nudged an inch, the positive effects reached support teams, improving agent morale and team alignment.
Molly Kerrigan, Senior Director of Retention at Shinesty, emphasizes the importance of preserving quality customer interactions during growth, "We get a lot of praise from our customers, and they talk highly of our CX team after 1:1 interactions. We can’t lose that as we scale."
Since Gorgias provides in-depth conversation analytics, CX teams are finally able to see their impact.
“Tracking customer satisfaction scores in Gorgias is a really big help to us. Before, we didn't know if we were doing well or not, but now we can see people like the service we provide. We use the KPI tracking data for internal monthly meetings to review performance and see where we can improve,” says Deja Jefferson, Customer Experience Manager at Topicals.
Clearly, balancing automation with personalization significantly improves the customer journey. Given that customers with positive customer experiences are 2.7 times more likely to do repeat business, the value of automation is unmistakable.
AI progress has advanced in a short amount of time. But to remind you, this is only the beginning of what automation and AI can do in customer service. We envision AI as a constant work in progress, meant to intake information until it is capable enough to handle more complex tasks. This means agents will spend more time building strong customer connections and finding ways the business can grow.
Gorgias is at the forefront of this evolution, developing automation and AI-driven solutions like an AI-generated Help Center, an AI Agent, a generative AI assistant that autonomously answers customer questions, and an Interaction Quality Score to measure and report on AI-customer interactions. Gorgias aims to transform how support teams and customers interact with AI, paving the way for more impactful customer experiences on a human scale.
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TL;DR:
The Help Center is more than a database to make the lives of your agents and customers easier. It's also an ingenious way of creating brand awareness. By enhancing your Help Center's visibility, you carve new pathways for shoppers to discover your brand while solidifying your brand's reliability with loyal followers.
This guide delves into practical methods for increasing your article views and turning your Help Center into a dynamic hub with Gorgias. We’ll look at the basics of a Help Center, how to structure it based on statistics and SEO, and how to share it across multiple channels.
A Help Center is a knowledge database of articles addressing common questions about your products, services, and brand. It empowers customers to find solutions on their own without needing to contact your customer service team.
A Help Center can include how-to articles, policies, answers to frequently asked questions, and more. Each article can also be supplemented with images, GIFs, and videos to better guide customers toward solutions.
Boosting your Help Center's visibility involves two key elements: understanding customer concerns to create relevant content and using SEO to increase article views.
Focusing on your customers' specific needs and questions allows you to provide articles that directly address their concerns.
Let’s delve into the two strategies you can use with Gorgias.
The first step to creating Help Center articles is understanding your customers’ problems. Identifying their concerns ensures your content aligns with what questions need clarification.
Here are five ways to uncover customer concerns with Gorgias Statistics:
Tags are labels for categorizing tickets by topic or customer intent. Regularly reviewing tags helps identify common customer inquiries. Generally, the more a tag is used, the greater the need for clarity on that topic.
On Gorgias, navigate to Statistics -> Ticket Insights -> Tags to see tag usage frequency. This view gives you an overview of popular tags. You can also adjust the view by filtering by app integration, channel, and date range.
💡 Pro Tip: The most frequently used tags can help inform what articles you should include in your Help Center. Based on the screenshot below, it would be smart to create articles about FAQs and a Price Match policy.
Intent Statistics provide valuable insights into why customers contact support. By analyzing these statistics, you can understand the primary reasons behind customer queries.
On Gorgias, go to Statistics -> Ticket Insights -> Intents to review the usage frequency of different customer intents.
This feature provides a clear bar graph view of customer concerns that are frequently mentioned in messages. You can also change the view using filters such as channel and date range.
Another way to learn about your customers’ concerns is by looking at contact reasons. On Gorgias, Contact Reason is an AI-powered feature that identifies a ticket's contact reason from its message content. Reasons could range from cancellations and refunds to shipment issues and feedback.
The Contact Reason is conveniently located at the top of each ticket, as shown in the image below.
While positive CSAT scores are gratifying, it's the negative feedback that truly helps improve your customer support.
To view Satisfaction scores on Gorgias, navigate to Statistics -> Support Performance -> Satisfaction. This section provides details on surveys sent, response rates, average ratings, and response distribution over three months.
💡 Pro Tip: For deeper insights into CSAT scores, filter for scores of 3 stars or below. Analyzing lower ratings and their accompanying comments will help you pinpoint the exact topics your Help Center articles should address.
Checking the performance of your articles can be the key to adding relevant articles to your Help Center while avoiding unnecessary topics.
On Gorgias, you can find individual article performance by going to Statistics -> Help Center -> Performance by articles. Articles are sorted from most viewed to least.
Here’s how to use article performance data to write relevant articles:
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SEO (Search Engine Optimization) isn't solely for your primary webpages. It's equally crucial for Help Center articles. Using SEO tactics in Help Center articles boosts their online visibility, but most importantly, they allow you to turn visitors into customers.
Here are some effective SEO strategies to apply:
Using relevant and related keywords in an article can boost search visibility. Customers won’t always use the same search query, so anticipating their word usage will help capture all types of customers looking for your content.
On Gorgias, you can find out what keywords customers are searching for under Statistics -> Help Center -> Help Center searches.
Here’s how to leverage search result data:
💡 Pro Tip: Don’t forget to incorporate relevant keywords into your article titles, subheadings, and excerpts. There are two benefits to this: they make it easier for customers to quickly scan your content and enhance your brand's discoverability in search engines.
Again, data plays a crucial role in making your support and Help Center the ultimate resources. On Gorgias, the "Performance by articles" section allows you to track how well each article performs. Articles are sorted by view count, ratings, and the dates they were last updated.
Here’s how you can leverage the following types of articles:
Internal links are hyperlinks that point to other articles in your Help Center, creating a network of related content. This tactic helps to proactively address questions customers might not have considered, effectively reducing the load on your support team.
To effectively increase the visibility of your Help Center articles, consider leveraging a variety of communication channels:
Remember, a well-optimized Help Center is a powerful tool in building brand awareness and customer loyalty.
Do more with an AI-powered Help Center with the power of Gorgias Automate. Discover how our advanced tools can streamline your support processes and improve customer satisfaction. Book a demo today.
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TL;DR:
At Gorgias, we're avid believers in transparency. You'll find us documenting processes diligently, asking for feedback frequently, and addressing concerns openly. This may be surprising and even unconventional to most, but after witnessing its long-term benefits on employee satisfaction and engagement, our team is set on continuing the practice.
As a natural next step in our commitment to openness, we decided to make our People Resources available to everyone. These resources include documents and processes that outline how we operate at Gorgias, including how we approach the compensation process, performance reviews, and more.
We invite you to delve into our resources, whether you’re a founder or a job seeker.
Our decision to share our People Resources is driven by a vision that sets new standards for transparency in evolving corporate practices.
By opening up our resources to the public, Gorgias positions itself as an innovator and thought leader in the industry. Allowing our processes to be read and critiqued by others outside of the company gives way to perspectives we may not have considered.
We view our People Resources as living documents and as we drive discussions about transparent work culture, the opinions and critiques of others will be a constant source of value for us to continue improving our processes.
For other organizations, accessing Gorgias' People Resources serves as a blueprint for building a positive and engaging workplace. By publicizing our processes, we hope to guide companies to create safer and more honest work environments, which in turn will improve employee satisfaction globally.
Our People Resources encompass a wide range of materials, including documents, processes, and additional resources. Here's what you'll find:
Read more: Why we don't increase salaries each year based on performance
Our People Resources are designed with a wide audience in mind, ensuring that anyone interested in building a positive team environment can find value. Here's who can benefit:
You can find our public People Resources on Notion.
If you're inspired by what you see and want to join our growing team, we invite you to check out our current job openings.
We look forward to welcoming you to Gorgias, where we will continue building a transparent and innovative workplace.
TL;DR:
While there’s a common concern that automation might alienate customers with responses that miss the mark, it turns out that 73% of customers have higher expectations for personalized experiences when advanced tech is involved.
Not only do customers expect automation and AI in customer service, but they also believe that brands should make the most out of them.
Luckily, helpdesk tools like Gorgias have found the right balance between automation, personalization, and human touch. The only thing left for CX agents to do is to use automation strategically.
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Automation and AI are distinct, just like live chat versus chatbots. AI, such as ChatGPT, evolves in real-time from interacting with and learning from input data, while automation follows set rules for routine tasks without understanding natural language.
Automation is highly customizable — it won’t spew out an inappropriate sentence unless you tell it to. If you’re still hesitant about automating your support, here are four automation myths debunked below.
The tone and style of your automated messages are entirely within your control, thanks to the customizable nature of automation. This flexibility ensures that your brand's unique voice shines through, allowing for a tailored approach that aligns with your ecommerce strategy.
If we’re talking about AI, we’ve also come a long way from generic chatbot responses. In fact, a 2019 Stanford University report found that AI computational power doubled every 3.4 months. The result? Humans are only correct 60% of the time when guessing if they’re talking to AI or a real person.
In reality, automation is highly adaptable and can incorporate customer data, brand voice, and plenty of dynamic variables to create powerful communications for personalized customer service.
Learn more: How Manduka used personalized, on-site campaigns and earned $70k
While automation enhances efficiency, it works best in tandem with human insight rather than as a complete replacement for human agents. Customer service thrives when there is a route back to human support.
Yes, customers appreciate the ease of connecting to a fellow human, but they also value speed — something automation excels at compared to humans.
Learn more: How Luksusbaby boosted 66% first response time with 45% automation
A customer-centric helpdesk trained on AI is the most effective way to have rapid and authentic customer interactions. A tool like Gorgias enables you to scale your customer service operations by connecting your ecommerce store. Gorgias learns customer conversations and data and automates simple processes like responding to repetitive tickets and refunding orders.
To effectively implement customer service automation, always remember to add a human touch to make customers feel comfortable. More importantly, not all customer interactions are suitable for automated responses so automate strategically.
Here are five ways to implement personalized automation with Gorgias, from automating responses to using website chat and creating a help center.
Skip the mental work of reading a frequently asked question and thinking of a response. Auto-responses will do both for you in the background while you complete other high-priority tasks.
How to implement:
Note: Manually follow up on complaints or technical issues. Using auto-responses on these sensitive issues may escalate them and cause more customer frustration.
AI is excellent at answering simple inquiries, but sometimes customers will ask questions that need a human’s problem-solving skills. Include a route to a live agent to address this. Allowing AI and agents to work in tandem is an effective way to improve customer satisfaction.
How to implement:
Note: Don’t trick customers into thinking they’re speaking to an agent when they’re speaking to AI. Customers are more likely to trust you when you set clear expectations from the start.
Make personalization a part of the customer journey to create friendly experiences on a large scale. Without tailored communications, you’ll likely frustrate 76% of your customers due to irrelevant recommendations and marketing campaigns.
How to implement:
According to a survey of 3,000 consumers, 56% would repurchase from a retailer that provides personalization. For this reason, create an automated action, also known as a rule, that labels tickets from VIP customers. Prioritizing VIP needs will allow your team to strengthen loyalty and drive repeat purchases.
How to implement:
The responsiveness of AI depends on the knowledge you feed it. To accelerate automation’s efficiency, provide it with resources from your knowledge base or help center. In 2020, organizations reported a reduction of up to 70% in call, chat, and email inquiries after implementing a chatbot or virtual customer assistant.
How to implement:
Read more: 9 types of customer self-service
Setting up automation without the right tools can detract from personalization efforts. Gorgias Automate remedies this by equipping CX teams with features like Autoresponders, self-service Order Management, Quick Responses in Chat, and Article Recommendations. Elevate customer experiences and grow your customer relationships by booking a demo with Gorgias today.
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Last September, Gorgias hosted CX-All Star: Episode 1, a webinar presented by a superstar panel of customer experience leaders in the DTC industry. From the health and wellness space to the tech sphere, experts Eli Weiss, Amanda Kwasniewicz, Deja Jefferson, and Ren Fuller-Wasserman gathered years of experience and wasted no time sharing their top strategies, tips, and a-ha moments with fellow attendees.
One hour wasn't long enough to reveal all their expert tricks, but it was definitely enough to help fellow CXers rethink their strategy. If you weren't able to attend the event, these were the top four lessons we learned from CX All-Star: Episode 1.
Amanda Kwasniewicz, the VP of Customer Experience at Love Wellness, emphasizes how CX should be the core of any business. "[CX] has a finger on the pulse of everything we do, whether we're just on the receiving end or whether we're executing it."
To emphasize CX's far-reaching impact, Amanda introduced a company-wide policy where every new employee spends six weeks working directly with support tickets and customers. This immersive approach to CX was so successful that non-CX team members, from marketing to finance, were able to help the CX team during a hectic inbox day when Love Wellness migrated platforms.
Read more: Why customer service is important, according to a VP of CX
"I think CX is often viewed as a call center, a revenue driver—and we're missing the core part that it's a feedback machine. It's like a feedback treasure trove. So, if you can think about it as all three of those things, that's what it is. It really is about the experience."
—Amanda Kwasniewicz, VP of Customer Experience at Love Wellness
"Brands are either notoriously anti-having a big CX team, or they're very straightforward. Either one of those extremes is dangerous," says Eli Weiss, VP of Retention Advocacy at Yotpo. The balance lies in building a team of passionate learners willing to grow.
Our experts agree that product knowledge can be taught through training, but soft skills like empathy, creativity, and passion are intrinsic. Eli notes that asking questions like "Why CX?" helps determine if a candidate will stick around. Amanda notes these team members often become superstar hires for other departments because of the breadth of their knowledge and skills.
Related: Hiring for customer service
“[LinkedIn] is how I've gotten a lot of people early on. I just looked at brands that crush it and said, 'Stay exactly where you are. I just need 2 hours.' Those 2 hours will usually give you what you as a founder can do in six, because somebody that's doing it all day is probably really good at figuring out how to put a move on it.”
—Eli Weiss, VP of Retention Advocacy at Yotpo
"If people can understand and learn the product they're selling and they can educate the customer, I think that's really valuable," says Deja Jefferson, Manager of Customer Insights at skincare brand Topicals. That's why she takes a diverse approach to product knowledge onboarding.
At Topicals, new hires don't only have to pore over lengthy documents to learn about skincare products. They get their hands dirty by speaking to experts in the product team, reading cheat sheets, and talking to customers about personal skin concerns. This multifaceted strategy is inclusive to all types of learners and leads to agents becoming true experts.
Read more: Customer service training: what to cover + how to do it
"People who are passionate about what they're doing and about helping customers [will] figure out the rest."
—Deja Jefferson, Customer Insights Manager at Topicals
Ren Fuller-Wasserman, Head of Customer Experience at bidet brand TUSHY, empowers her team to go above standard protocols to create memorable or, as her team calls it, mensch (Yiddish for a person of integrity) moments. These are exceptional CX moments that can't be found in the onboarding manual, things like sending handwritten notes, personalized texts, and replacing items without question.
However, as with all things, it's also valuable to understand that mistakes happen. Ren likens the trial-and-error nature of customer experience to building a plane as it's being flown — it won't be perfect. She notes that protocols are important guidelines, but it's also worthwhile to allow your team to be mensch and decide, where do I need to follow the protocols here?
"There are incredible opportunities to make moments that matter, but only if your team has the agency to do so."
—Ren Fuller-Wasserman, Head of Customer Experience at TUSHY
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Imagine leaving your angriest customers to spar with an automated script in your website’s chat window. Now picture your support team reading “Where is my order?” for the hundredth time and glancing at the clock, only to find six hours left in the workday.
Who do you think is more frustrated?
Luckily, you won’t have to answer that, because these are completely avoidable problems. Once you learn the important distinctions between chatbot software and live chat software, you’ll understand how to use them both more effectively and lower blood pressures across the board.
Chatbots rely completely on automation and artificial intelligence (AI) while live chat software connects customers with human agents via a real-time chatbox. A third option, self-service chat, is an appealing alternative.
To determine which solution(s) is best for your business, let’s compare chatbots and live chat software and go through the top use cases for each.
Live chat support connects customers with human support agents who can answer their questions and assist them with any issues. When a customer opens the chat box on a live chat support solution, they are connected with a real person from the company's customer support department.
Support agents then use live chat messaging to address customer inquiries and walk customers through the solution to their problem.
Interested in getting live chat software? Check out one of these lists for tailored recommendations:
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Unlike live chat software, chatbot software doesn’t connect customers with human agents. Instead, chatbot software connects customers with a chatbot that utilizes AI and machine learning to provide natural language answers to common questions.
Automation assists customers with less complex issues and provides quick answers. Chatbot technology enables companies to reduce their average response time, and frees up support agents to focus on more complex queries.
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When comparing chatbots with live chat solutions, it's important to recognize that each category offers its own unique advantages. Many companies choose to employ both live chat and chatbot apps on their ecommerce websites.
With that in mind, let's explore the strengths of each solution.
One of the biggest advantages of chatbot solutions is the fact that they allow for immediate responses to customer inquiries. Live chat solutions can also help companies reduce their wait times, though not to the same degree.
According to data from HubSpot, 90% of customers rate an "immediate" response as important or very important when contacting customer service, with 60% of customers defining "immediate" as 10 minutes or less.
With a chatbot app, offering immediate response times to customer queries is a much more attainable goal. Best of all, these immediate response times are a 24/7 offering for customers, whereas live chat agents may not always be on the clock.
The problem with relying solely on chatbots to reduce customer wait times is the fact that even the best and most intelligent chatbots are often unable to resolve complex issues. Chatbots are excellent at pulling information from internal databases to answer common questions, such as providing the status of a customer's order or editing it.
But for uncommon questions or complex issues, a chatbot alone may not be sufficient. Because they can only handle one thing at a time, it can take forever before you get all of your questions resolved.
Many companies use chatbots alongside live chat support. This allows businesses to offer both immediate responses, as well as more in-depth support for complex issues.
For example, a customer may first be connected with a chatbot that provides instant responses to their query and assists with gathering initial information. If the chatbot determines the customer's question or issue is too complex to resolve, the customer is then connected to a support agent via live chat.
This combination is an ideal solution for many companies, allowing them to quickly resolve common issues without the need for a live chat agent. At the same time, customers have the option to speak with a real person in cases where assistance from a chatbot alone isn’t sufficient.
While chatbot apps can help reduce customer service wait times and the number of customer service reps needed, many customers prefer speaking with a person.
A CGS study found that 86% of customers would rather interact with a human agent than a chatbot. Further, 71% of customers say that they would be less likely to purchase from a brand that did not have real customer service representatives available.
Chatbots have come a long way toward replicating natural language and determining customer intent for better customer engagement. Today, the best chatbot applications can come quite close to sounding like actual human beings.
Chatbots leverage AI and machine learning to deliver personalized responses, as opposed to only “canned” responses, and can better serve your customers.
Even the most advanced chatbots still fall short of a live representative when it comes to delivering a personalized, human touch. They’re also lacking when it comes to handling more complex questions or customer issues.
Once again, a combination of automation and live chat support is typically the best approach.
Chatbots and live chat applications have unique advantages when it comes to delivering consistent and accurate responses to customer queries.
Chatbots are excellent at delivering consistent, on-brand messaging. They can be programmed to systematically follow templates or scripts to provide a consistent customer service experience.
When working with human customer support agents, this high degree of consistency can be a little more difficult to achieve.
While live chat support may not offer the same consistency as chatbots, human support agents do tend to be more accurate when determining the intent of the customer they are assisting.
For example, a simple spelling error can sometimes confuse chatbots, whereas a human customer support agent would be much more likely to look past the error and correctly figure out what the customer needs.
A human agent is also much more likely than a chatbot to accurately interpret questions that are worded strangely.
For companies that are choosing between chatbots and live chat support, it’s a question of whether they’d like to prioritize consistency or accuracy. This is yet another reason why a combination of chatbots and live chat support is often the best solution.
More chat features to provide self-service support without the bots
Many of the issues your website visitors have with bad chatbots involve their mimicry of support from real people. It’s easy to tell when you’re chatting with a robot, but it’s not always made clear to you by the chat widget.
But there’s a third chat option that you should consider in addition to live chat and chatbot software.
Self-service chat options make it clear to your customers that they are receiving automated help. By presenting menus instead of imitating a human conversation, self-service customer support empowers customers to find the answers they need on their own.
It’s a win-win, because the customers get the answers they need in real time, at any hour. And your team can focus on support tickets that are more important to the business.
Here are a few ways self-service chat options can work.
Up to 30% of incoming customer service tickets are shipping status requests. With self-service order management in the chat widget, customers are empowered to make these queries on their own — providing fast answers and reducing your support tickets.
These automated options are easy to add with Gorgias. This self-service adds buttons to the chat widget to automatically:
Quick service with chat automation provides quick, responsive customer service, which means better customer experience and a positive impact on revenue.
Barcelona-based shoe brand ALOHAS added self-service order management flows with Gorgias after experiencing a high chat volume. This allowed customers to find information on their own without a human needing to respond.
Here’s how a “track order” request looks in action:
When using a chat widget, you’ll notice the same questions come up again and again. You can satisfy those FAQs by adding quick answer flows into the chat widget.
These automations can be set up in the widget for questions like:
These automations can be customized for whatever FAQs are most relevant to your ecommerce store.
Here’s how it looks, for example, when an ALOHAS customer wants to find out more about the brand’s shipping policy.
Luxury jewelry brand Jaxxon has used these self-service quick responses with great success. The customer service team found themselves overwhelmed with customer questions and unable to respond as quickly as desired.
Jaxxon upgraded their live chat widget with Gorgias Automate with Quick Responses for customers. The result, combined with using Gorgias’ helpdesk, reduced live chat volume by 17% and lifted the on-site conversion rate by 6%.
Even when a customer chooses to type out a question, automation can be used to provide quick, customized service through the chat widget.
Gorgias can detect questions that come in through chat and provide automatic answers using Rules and Macros.
Here’s how the flow works:
The best part is this can not only be used for chat, but for responses to tickets coming in through other communication channels like email, social media, and SMS.
With Gorgias, you can make sure your chat widget isn’t missing a single ticket, even if your customer support team is offline.
First, you can set up your business hours to correspond with when you have live chat available. This will show up on your site’s chat widget by either showing the current status as online or offline.
From there, you can create automated responses for whether you’re offline or online. During business hours, this message can tell customers you’ve received their request and give a time by which they can expect a response.
After business hours, the responder can tell customers that although you’re offline, they can expect a response during the next day’s business hours via email.
You can also use a contact form which turns a chat into an emailed ticket. This is great to use after-hours and to make sure chat requests don’t get lost overnight.
The use of automation within customer service is multifaceted. As we discussed earlier, a human touch is critical for many customers, and speaking with an automated chatbot can be a turn-off. However, automation certainly has its place in the customer service process.
On the customer’s side, starting with self-service chat helps them receive quicker customer support at scale — a more satisfying experience. On your team’s side, automation allows for sorting, segmenting, and prioritizing tickets.
When self-service chat can’t solve an issue, someone from your support team can easily step into the conversation. You can use Macros — scripts that automatically bring in the customer’s information — to scale the human touch on your support team.
So in reality, it’s not automation vs human support. These are two complementary tools that work better together. And the result is a stronger and faster customer experience for your website visitors, which can increase your conversion rate by as much as 12%.
Still not convinced? In 2021, brands using the Gorgias chat widget generated an average of $38,702 from conversations involving chat. We have a whole post on live chat statistics that can help illustrate the impact our chat widget can have on your business.
If you’re an ecommerce business looking for an all-in-one customer support solution that includes live chat support and AI-powered chatbots, Gorgias is your one-stop shop.
Our algorithms are trained on hundreds of millions of ecommerce tickets, so you can be sure your customers are getting the right responses every time.
Plus, you can manage both live chat and chatbot conversations in the same dashboard that you use for all your other channels, including phone, email and major social media platforms. Bring in chat from other channels, including Facebook Messenger. We’ll even be supporting Whatsapp in early 2023.
Our customer support platform is available for Magento, Shopify, and BigCommerce users.
Read more about our chat offerings by clicking here.
TL;DR:
You know what customers love? When their problems are solved on the first try.
Being able to resolve issues right away is a clear sign that your support team is on the right track to provide great customer experiences.
To maintain that level of excellence and efficiency, you’ll need to understand first contact resolution (FCR) rate.
In this article, we’ll deep dive into first contact resolution rate. You’ll learn how to calculate and monitor FCR, how to increase your FCR for better customer experiences, and look at what other metrics to monitor alongside FCR.
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First contact resolution rate is a metric that measures the percentage of customer support tickets that your agents resolve on the first interaction.
Generally, this measurement is used in call centers, but it’s also considered one of the most essential customer support metrics in ecommerce.
Like a lot of customer support metrics, FCR also goes by a few names, like:
Whichever name you prefer, the goal of the measurement is the same: understand how efficient your team is at resolving customer issues.
Time-consuming interactions erode trust over time and drive customers to shop with the competition.
According to The Effortless Experience, 96% of shoppers with a high-effort experience feel disloyal to brands afterward.
By aiming to solve customer issues from the very first interaction, you can combat the escalation of poor customer experiences and use positive interactions to improve loyalty and satisfaction, gain repeat customers, and boost revenue to meet your bottom line.
Let’s walk through the formula to figure out your FCR and look at an example. Then, we’ll unpack some challenges behind the FCR metric to make it as useful for your support agents as possible.
The formula to calculate first contact resolution rate is:
(Number of support tickets resolved on first contact / total number of resolved support tickets) x 100 = FCR rate %
The goal is to have an FCR percentage that’s as close to 100% as possible. A higher FCR indicates how successful you are at solving tickets at the first interaction without follow-up questions from customers.
Here’s what calculating FCR looks like using real numbers:
(15,000 tickets solved on first contact / 20,000 total resolved tickets) x 100 = 75% FCR
That means, on average, your team can solve 75% of support tickets on the first try.
First contact resolution is a fantastic starting point to improve your support team’s resolution time. But, like most customer support metrics, FCR has some limitations.
Simply knowing your first contact resolution rate doesn’t give you the whole story.
A low FCR means you aren’t solving most problems on the first try but it doesn’t explain the root causes.
You’ll need to track other metrics that look into customer interactions more qualitatively, like customer satisfaction (CSAT).
Second, a high FCR isn’t an automatic indicator of a successful support strategy. The challenge lies in accurately categorizing tickets resolved in one interaction. This process can be complicated by instances where automated responses may be quick but unhelpful.
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Here are four tactics you can use now to improve FCR performance and your customer experiences.
Your agents are your front line, and it’s important they’re armed with customer service scripts to resolve common issues efficiently. Scripts are pre-written responses that agents can use to avoid typing the same answers over and over again.
At Gorgias, we call scripts Macros. Gorgias allows you to personalize each Macro with customer information pulled from your integrated ecommerce platforms like Shopify and WooCommerce.
Deja Jefferson, CX and Consumer Insights Manager at skincare brand Topicals uses Macros “to help maintain brand voice while handling a high volume of customer service tickets.” As a result of this automation tactic, her team influenced 72% more revenue.
💡 Pro Tip: Exceptional customer experience depends on a robust customer service training program. Keep agent knowledge fresh with a knowledge base or Help Center of scripts. This way, agents can continuously upskill or grab information whenever they need it.
At Gorgias, we’ve found that automation increases both FCR and sales.
An automation tool like Gorgias Automate can help resolve up to 30% of incoming tickets. With features like Quick Responses and Article Recommendations, customers can get answers to their questions without waiting to speak to an agent.
For example, luxury shoe and garment care retailer Kirby Allison used Gorgias Automate to deflect 30% of incoming tickets and boosted revenue from support by 46%.
Chances are, a bulk of your tickets can be answered by customers themselves. In fact, 88% of U.S. customers expect a customer self-service portal according to a 2022 Statista survey.
On Gorgias, we solve this issue by giving merchants the ability to create a Help Center.
A Help Center is an article database that includes information commonly sought by shoppers, like product information, policies (like shipping, returns, or order cancellations), and billing and payment information.
Below, Loop Earplugs makes the customer experience seamless by linking to their FAQs in the top navigation bar of their website.
Resolving your low-priority tickets quickly is a surefire way to improve your FCR. It would be a full-time job if you had to manually prioritize and categorize your tickets.
With a helpdesk like Gorgias, you can automatically categorize incoming tickets into low-, medium-, and high-priority based on customizable parameters called Rules. Better yet, Gorgias can take care of routing high-priority tickets to your most experienced agents to maintain customer retention.
For example, snack brand Chomps created a Rule that tagged customer tickets with an “Urgent” tag if their message included phrases like “cancel order,” “wrong,” or “update my address.”
To give deeper context to your customers’ shopping experiences, it’s important to use FCR alongside other customer success metrics and KPIs.
Let’s look at how FCR works with key customer support metrics, like Customer Contact Rate, Average Response Time, Average Resolution Time, and Unresolved Ticket Rate.
Customer contact rate (CCR) looks at the percentage of customers who ask for help over a given time. It's an important metric that gives you a snapshot of your company's overall health.
Calculating CCR in combination with FCR will help you see how many people need support versus how effective your team is at deflecting lower-priority tickets.
Average response time (AVT) or average reply time measures how long your support team takes to respond to a customer message.
90% of shoppers agree that an immediate response is important when they have a support request, so it’s crucial that you have as low an AVT as possible.
The longer your response time, the longer it’ll take to get to a resolution. That’s why it’s useful to calculate AVT with FCR together. It’ll help show you the time it takes for an agent to respond, getting you even closer to a lightning-fast solution.
Average resolution time (ART) is similar to FCR in that it looks at your support team’s ability to resolve customer issues.
The difference with ART is that the metric looks at your team’s average ability to resolve issues, not just the first time.
A benefit of calculating ART is that you can understand how efficiently your team resolves higher-priority issues, like complicated returns, customer retention rates, or problems with loyal shoppers.
Unresolved ticket rate (UTR) lets you track and measure abandoned conversations and tickets that could not be solved.
It’s critical to calculate UTR because unresolved tickets are a key indicator of unhappy customers — and unhappy customers can negatively impact your bottom line.
Calculating UTR can help you find gaps in your support strategy by locating tickets where a resolution is difficult and working to build a resolution for similar problems in the future.
If you’re stuck manually calculating first contact resolution, you’ll never have time to improve your strategy.
That’s where Gorgias comes in. Gorgias Helpdesk automatically tracks and measures data like FCR so that you can focus on optimizing your strategy to provide a more positive customer experience.
Sign up for Gorgias or book a demo to track and improve your first contact resolution rate today!
TL;DR:
This year, we witnessed customer service teams from 16,140 brands support over 77 million shoppers and millions of tickets with Gorgias.
As we turn to a new chapter, we want to spotlight how six of the top-performing industries delivered customer service in 2023.
From food to fashion, we’ll see how quickly agents answered questions, then discover what customers were asking, and learn from experts about what customer experience trends to expect in the new year.
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Step into the ecommerce world, where you’ll find a vibrant population of merchants, each with their own niche and groups of loyal customers. Together, they generated $1.45 billion in revenue in 2023.
Of course, this would not have been possible without the grit of customer service teams and their dedication to customer satisfaction.
Support teams across 20 industries answered customer inquiries within one business day and solved them in two and a half, resulting in very satisfied shoppers. Impressively, 15% of interactions were fully automated and resolved on average.
Here are the average industry support stats:
The most popular ecommerce industries — Apparel and Fashion, Health, Wellness, and Fitness, Cosmetics, Food and Beverage, Consumer Goods, and Luxury Goods and Jewelry — were the top performers.
Using exclusive Gorgias data, we’ll look at how support teams from these industries handled tickets. Then, we’ll gain expert insight into the ecommerce experience in 2023, and how experts predict it will change in the coming year.
Our first stop is the bustling market of Apparel and Fashion. We’re all familiar with how tricky online clothes shopping can be. Most likely due to issues with sizing and style, support teams mainly dealt with inquiries about:
Yet, despite receiving the highest number of customer tickets among the six industries, Apparel and Fashion brands kept customers happy. They responded within one business day and resolved issues within two, with 15% of interactions being resolved with automation.
Here are their stats compared to the overall industry average:
According to Loop, over 50% of their merchants now charge for certain returns, including fees for exchanges and returns for store credit. This change aligns with consumer preferences, as their report shows 70% of shoppers are willing to pay for premium, convenient experiences, a trend already embraced by half of these customers.
The next stop on our tour is the thriving Health, Wellness, and Fitness industry.
Unfortunately, brands in this sector had a challenging year keeping up with unpleasant tickets about:
Perhaps support teams could have automated more than 15% of interactions to handle these repetitive tickets better. But despite their slower-than-average first response time, customers were still pleased with the support experience:
Expert Insights: Amanda Kwasniewicz, the VP of Customer Experience at women’s wellness brand Love Wellness, highlights that personalized customer service has been a key trend of 2023. She’s observed that customers now expect to receive personal recommendations during their shopping journeys.
Now, take a peek at the fast-growing Cosmetics industry, and you’ll see how eager customers were to check out the hype around both small businesses and celebrity brands.
Given the boom of influencer marketing for these highly personal products, customers often inquired about:
To solve these tickets, support teams automated 18% of interactions and attained faster times than average:
Getting hungry? This year, the growing appetite for Food and Beverage in the ecommerce world was unmistakable. Beef jerky or freshly squeezed fruit juice, customers savored their snacks. But it also didn’t stop them from being tough critics.
The main issues raised to Food and Beverage support teams revolved around:
Luckily, they cut down their first response time by automating 15% of interactions — nearly three hours faster than average:
Expert insights: Zoe Kahn, former Manager of CX & Retention at Chomps and now Owner of Inevitable Agency, saw inventory issues as a major challenge of 2023. The complexity of inventory logistics is difficult for consumers to understand, leading to higher outreach from customers wondering when items would be back in stock. "Quieting those concerns is really difficult," Zoe notes. However, after witnessing inventory issues over the last few years, Zoe realized that "it's inevitable that inventory problems will happen because of how challenging the logistics of selling a product are."
There’s a lot to explore in the all-encompassing Consumer Goods industry. You’ll find brands that sell everything from sustainable water bottles and furniture to everything else in between, like dog toys and mystery subscription boxes.
While Consumer Goods brands only automated 14% of interactions, their resolution time was two hours faster than the industry average, resulting in the happiest customers among the six industries:
The top tickets Consumer Goods brands received were about:
Expert Insights: Ren Fuller-Wasserman, the Director of Experience at TUSHY, notes that the impact of the macroeconomic climate was among the top challenges faced in 2023. “As there's talk of recession and inflation, people are really looking for products that provide added value,” she says.
Our partner Okendo, a growth marketing platform that has worked with well-known brands like SKIMS and Rhode, notes that tech stack consolidation has been the top priority in 2023. They saw that merchants who used a multifaceted product with app integrations resulted in a 15x return on investment.
Our final stop is at the small gem of an industry, Luxury Goods and Jewelry. Making sure their pricey wares arrived to customers safely was the top priority. That’s why the top questions support teams received were in regard to:
Out of all the industries, Luxury Goods and Jewelry brands automated the most interactions at 28%, which certainly helped to shorten response and resolution times:
Expert Insights: Caela Castillo, Director of CX at Jaxxon, advises preparing early for BFCM but being flexible to change. She notes, “Sometimes you need a different perspective,” acknowledging that agents are valuable resources to gain customer insights, especially when it comes to planning new customer service strategies.
It’s been a fruitful year of expediting the traditionally slow support process. However, with greater strides made in AI technology, ecommerce has only scratched the surface of providing accelerated service.
We interviewed ecommerce experts who saw the rise and fall of trends in 2023 and are ready to use their learnings to make the new year better.
Here are the top four actions ecommerce companies should take in 2024.
We’re constantly fed an endless stream of new technology, which can be a distraction to business goals. That’s why the CTO of ecommerce agency Novatize, Pierre-Olivier Brassard, highly recommends planning a robust strategy first. Clear business goals will help teams pick the best tools — not the other way around.
Customer service management platform TalentPop saw AI as the top CX trend of 2023. They foresee late adopters using AI next year, while early adopters will focus on optimization. To get ahead of the game, TalentPop recommends that support teams research all AI options since CX will only become more saturated with AI tools.
Brandon Amoroso, Founder & President at Electriq and Co-founder at SCALIS observed similar trends. In 2023, many CX teams implemented more self-service options for customers. Going into 2024, Brandon notes that a “continual integration of AI into the entire customer experience” is likely.
As social shopping gains traction, marketing platform Yotpo predicts customers are going to look for more real-time communication with brands. In fact, HubSpot reports a 45% year-over-year surge in using social media DMs for customer service. Therefore, using tools that enable interactions through DMs or text, like Yotpo SMS, will be a crucial strategy in the upcoming year.
Amanda Kwasniewicz, VP of Customer Experience at Love Wellness, advises CX leaders to ensure their contributions are recognized. Kwasniewicz notes that support teams often know the business better than any other department. "Beat the CX drum loudly. If you're not in the room, find a way in the room," she stresses.