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Stop Chargebacks Before They Start: The Power of Fast Customer Support

Chargeflow's report reveals 80% of chargebacks stem from poor communication, not fraud.
By Jodi Lifschitz
0 min read . By Jodi Lifschitz

TL;DR:

  • Most chargebacks occur due to poor merchant communication rather than fraud. Customers choose this path when they feel ignored or frustrated.
  • 80% of customers report never being contacted by merchants after filing a chargeback. 23% file immediately after an issue and 38% file within 1-3 days if unresolved.
  • The most common chargeback reason is "product not received" (35%). 79% of all chargebacks are actually "friendly fraud" filed for invalid claims.
  • Prevention requires fast customer support and automated chargeback management. Combining Gorgias for AI-powered support with Chargeflow for automated dispute management provides a comprehensive solution with faster resolutions and higher win rates.

Chargebacks are more than a thorn in a merchant’s side — they’re a growing financial and operational threat. According to Ethoca, chargebacks are projected to more than double, from $7.2 billion in 2019 to $15.3 billion by 2026 in the U.S. alone. And while fraud plays a role, the primary reason customers file chargebacks is simpler: they feel ignored. 

Chargeback volume in 2026 is projected to be $146 millino
Chargeback volume is expected to reach $146 million in 2026.

At Chargeflow, we recently published a comprehensive report analyzing why customers dispute chargebacks. The findings were eye-opening. While it’s true that fraud is a real concern, most chargebacks happen for a different reason: a lack of communication between merchants and customers.  

Top stats from Chargeflow’s report:

  • 23% of customers file a chargeback immediately after an issue.
  • 38% file a chargeback within 1-3 days if unresolved.
  • 80% report never being contacted by the merchant.
  • 52% are likely to dispute if the response is too slow.

When customers feel ignored or frustrated, they often turn to their bank for a solution instead of reaching out to the merchant first. Understanding these behaviors is key to preventing disputes before they escalate and cause chaos. 

So, what actually drives customers to dispute charges? Here’s what the data says.

Why customers file chargebacks

While chargebacks are often the cost of doing business, the truth is that many disputes are preventable — but only if merchants understand the root causes. We identified five key drivers behind chargebacks.

1. Customers take immediate action

According to our research, most customers file a dispute right away after encountering an issue, leaving no opportunity to resolve the problem. Another 38% file within one to three days if they don’t receive a timely response. 

Why? Customers assume the fastest way to get their money back is by filing a chargeback, especially if they receive no response from the merchant.

2. Lack of communication leads to disputes

We found that 80% of customers never receive a follow-up after filing a chargeback. Additionally, 64% of customers state immediate communication is crucial, yet many businesses fail to reach out.

  • 90% of customers tried to reach out to the merchant first.
  • If they don’t receive a response, they quickly file a dispute. 

Why? Customers expect businesses to be proactive. When they don’t hear back quickly, they assume the merchant won’t help, making a chargeback seem like the best option.

3. Chargebacks are too easy for customers

98% of customers report a neutral to highly satisfactory experience when filing chargebacks, and only 12% are denied. 

A pie chart showing that 45% of customers are satisfied with the chargeback process.
45% of customers are Very Satisfied with the process of initiating chargebacks through their banks and credit card companies.

Why? Many customers believe chargebacks are faster and easier than dealing with merchants directly, especially if return policies are unclear. 

4. Transaction issues drive chargebacks

The most common reason for filing a chargeback is “product not received” (35% of the cases). Other common reasons included:

  • Fraudulent transaction claims - 16%
  • Product significantly not as described - 15%
  • Unauthorized transaction - 15%

Why? When customers don’t receive clear shipping updates or experience delivery delays, they assume their order won’t arrive and file a chargeback rather than waiting.

5. Friendly fraud is a major problem

Friendly fraud occurs when a cardholder makes a legitimate purchase but later disputes the charge as fraudulent or unauthorized, leading their card issuer to reverse the payment. 

Our research found that:

  • 21% of customers admitted to not fully understanding the chargeback process. 
  • Another 20% aren’t even aware of what a chargeback is. 
  • 97% of consumers believe they’ve never filed a chargeback incorrectly, while only 3% admit they have.
97.14% of customers have initiated a false chargeback
Nearly all customers (97%) have initiated a false chargeback at one point.

According to our State of Chargebacks report, 79% of chargebacks are actually friendly fraud, meaning they were filed for invalid reasons.

Why? Many customers mistakenly believe that a chargeback is just another way to request a refund, rather than a process intended for fraud or merchant failure. 

📌 The takeaway: Most chargebacks aren’t actual fraud, but rather a result of customer confusion, impatience, or poor communication from merchants.

The solution: how to stop chargebacks before they happen

Merchants who want to stop chargebacks before they happen need a two-part strategy:

  • Fast, customer-focused support to resolve issues before customers dispute charges. 
  • Automated chargeback management to detect and fight disputes efficiently, so merchants don’t lose revenue to invalid claims.

Chargebacks result from slow response times, poor communication, and unresolved issues, not fraud. Adopting AI-driven customer support and chargeback automation allows businesses to significantly reduce disputes and retain more revenue. 

How AI-powered support & chargeback automation work together

Instant responses prevent frustration-driven chargebacks

Many chargebacks happen because customers don’t receive a fast enough response. In fact, 52% say they will dispute a charge if the response time is too slow. AI-powered chatbots provide real-time support, resolving issues before they escalate. 

Proactive communication reduces uncertainty

Customers expect updates regarding orders and refunds, but often don’t receive them. 80% of customers report never hearing from a merchant after filing a chargeback. 

Automated order updates, refund confirmations, and proactive notifications keep customers informed, reducing unnecessary disputes.

24/7 availability ensures no issues go unanswered

Customers expect round-the-clock support, but most businesses can’t provide live assistance. AI-powered ticketing and automation ensure every customer receives help, regardless of the time zone or urgency.

The result? Fewer chargebacks, faster resolutions, and increased customer satisfaction.

Actionable strategies for improving response times

Prioritize long-term clients

It’s impossible to please every customer. On average, chargebacks take 50 days to resolve successfully. Focus your energy on retaining high-value, long-term customers.

Prioritize high-risk inquiries

Lost inquiries take on average 15 days to resolve, and lost chargebacks take 38 days. Prioritize cases based on impact. 

Build efficient escalation systems

Advanced automated ticketing systems can route inquiries and prioritize urgent cases.

Use pre-approved resolution templates

Ensure customer service teams have quick-response templates to speed their resolutions.

Work closely with shipping carriers

“Product not received” was the most cited reason for delivery-related chargebacks. Work closely with carriers and third-party suppliers to improve fulfillment and reduce disputes.

Leverage chargeback management tools

Use automated tools for real-time analytics, enhanced communication, and proactive alerts, which will reduce response times. 

Gorgias & Chargeflow: A fully automated chargeback prevention system

Successfully tackling chargebacks requires both proactive customer support and automated dispute management. That’s why Gorgias and Chargeflow work so well together to give merchants a comprehensive defense against disputes.

Post-purchase automation isn’t just about reducing customer support workload or quick replies. It's about finding the most effective ways to increase customer loyalty and prevent disputes.

Learn more about how AI-driven automation enhances post-purchase experiences here.

How Gorgias prevents chargebacks with conversational AI

  • Automated real-time responses engage customers before they decide to dispute charges.
  • Proactive customer communication ensures customers receive updates on their orders, refunds, and transactions.
  • 24/7 availability ensures customers receive the support they need without increasing overhead. 

How Chargeflow automates chargeback prevention & recovery

  • Pre-dispute alerts notify merchants before a chargeback is finalized and provide proactive intervention.
  • AI-powered chargeback responses to automate evidence collection and improve win rates. 
  • Smart analytics to help merchants understand why disputes happen and how they can prevent them. 

Final thoughts: Stop chargebacks before they start

As you know, chargebacks are costly, frustrating, but most importantly, preventable. Our research shows that most chargebacks don’t stem from fraud, but from poor communication, slow response times, and customer uncertainty.

By prioritizing fast, AI-driven customer support and automated chargeback management, merchants can resolve issues before they escalate, improve customer experience, and protect their revenue. 

With Gorgias handling proactive customer support and Chargeflow managing chargeback disputes, merchants get a powerful, end-to-end prevention system that ensures fewer chargebacks, higher dispute win rates, and, at the end of the day, happier customers. 

Don’t let chargebacks drain your revenue. Take control today with faster, smarter automation.

Download Chargeflow’s full Psychology of Chargebacks Report to dive deeper into the data and start preventing disputes before they happen.

min read.

9 Ways to Use AI to Personalize the Customer Journey

Use AI to segment behavior, predict intent, and personalize CX across chat, email, and support touchpoints.
By Tina Donati
0 min read . By Tina Donati

TL;DR:

  • Use AI across both support and sales. Ecommerce brands are using AI to drive revenue and efficiency by combining automation in chat, email, and customer data with personalized product guidance and upsells.
  • Analyze post-purchase surveys with AI to uncover customer insights. AI quickly identifies themes, sentiment, and trends from open-ended feedback to inform product, shipping, and support decisions.
  • Predict customer intent with AI before they take action. By analyzing behavior like cart activity or page views, AI can engage high-intent shoppers with personalized nudges in real time.
  • Automate QA and proactive support with AI. AI reviews 100% of conversations, flags quality issues, and triggers outreach for known problems — all before customers even ask.

Shoppers aren’t just open to AI — they’re starting to expect it.

According to IBM, 3 in 5 consumers want to use AI as they shop. And a McKinsey study found that 71% expect personalized experiences from the brands they buy from. When they don’t get that? Two-thirds say they’re frustrated.

But while most brands associate AI with support automation, its real power lies in something bigger: scaling personalization across the entire customer journey. 

We’ll show you how to do that in this article.

AI for customer data 

Before AI can personalize emails, recommend products, or answer support tickets, it needs one thing: good data.

That’s why one of the best places to start using AI isn’t in sales or support — but in enriching your customer data. With a deeper understanding of who your customers are, what they want, and how they behave, AI becomes a personalization engine across your entire business.

Enriching surveys with AI

Post-purchase surveys are gold mines for understanding customers — but digging through the data manually? Not so fun.

AI can help by analyzing survey responses at scale, identifying trends, and categorizing open-ended customer feedback into clear, actionable insights. Instead of skimming thousands of answers to spot what customers are saying about your shipping times, AI can surface those insights instantly — along with sentiment and behavior signals you might’ve missed.

Try this prompt when doing this: "Analyze 500 open-ended post-purchase survey responses. Identify the top 5 recurring themes, categorize customer sentiment (positive, neutral, negative), and surface any trends related to product quality, delivery experience, or customer support."

Predicting customer intent before they even say a word

One of AI’s biggest strengths? Spotting intent.

By analyzing things like page views, cart activity, scroll behavior, and previous purchases, AI can identify which shoppers are ready to buy, which ones are likely to churn, and which just need a little nudge to move forward.

This doesn’t just apply to email and retargeting. It also works on live chat, in real time.

Take TUSHY, for example.

To eliminate friction in the buying journey, TUSHY introduced AI Agent for Sales — a virtual assistant designed to guide shoppers toward the right product before they drop off. 

Instead of letting potential customers bounce with unanswered questions, the AI Agent steps in to offer:

  • Personalized product recommendations based on shopper questions
  • Compatibility guidance (especially for customers unsure which bidet works with their toilet)
  • Real-time installation tips and links to helpful how-to articles
TUSHY uses AI Agent to answer customers on live chat.
TUSHY removes pre-sales friction with Gorgias's AI Agent to answer product questions, resolve compatibility concerns, and deliver personalized recommendations.

With a growing product catalog, TUSHY realized first-time buyers were overwhelmed with options — and needed help choosing what would work best for their home and hygiene preferences.

“What amazed us most is that the AI Agent doesn’t just help customers choose the perfect bidet for their booty — it also provides measurement and fit guidance, high-level installation support, and even recommends all the necessary spare parts for skirted toilet installations. It’s ushering in a new era of customer service — one that’s immediate, informative, and confidence-boosting as people rethink their bathroom habits.”

—Ren Fuller-Wasserman, Sr. Director of Customer Experience at TUSHY

Forecasting revenue by segment

AI also helps you see the road ahead.

Instead of looking at retention and loyalty metrics in isolation, AI can help you forecast what’s likely to happen next and where to focus your attention.

By segmenting customers based on behaviors like average order value, order frequency, and churn risk, AI can identify revenue opportunities and weak spots before they impact your bottom line.

All you need is the right prompt. Here’s an example you can run using your own data in any AI tool:

Prompt: “Analyze my customer data to forecast revenue by segment. Break customers into at least three groups based on behavior patterns like average order value, purchase frequency, and churn risk. 

For each segment, provide:

  1. A projected revenue trend for the next quarter
  2. A key insight about their behavior
  3. One actionable recommendation to either grow or retain revenue from that segment.”

Here’s what a result might look like:

  • VIPs (Top 5% by LTV): Predicted 15% growth next quarter based on repeat behavior
  • One-time Buyers: 70% churn risk flagged—time to trigger a win-back campaign
  • Discount-Only Shoppers: Revenue likely to dip unless incentive strategy changes

Instead of flying blind, you’re making decisions with clarity — and backing them with data that scales.

AI for sales 

When used strategically, AI becomes a proactive sales agent that can identify opportunities in real-time: recommending the right product to the right shopper at the right moment.

Here’s how ecommerce brands are using AI to drive revenue across every part of the funnel.

Dynamic pricing that responds to the market (and the shopper)

Your prices shouldn’t be static — especially when your competitors, inventory, and customer behavior are anything but.

AI-powered pricing tools like AI Agent for Sales help brands automatically adjust pricing based on shopper behavior. The goal is to make the right offer to the right customer.

For example:

  • Show a discount to a price-sensitive shopper who’s hesitating at checkout
  • Recommend premium add-ons to high-LTV customers who are more likely to spend

With dynamic pricing, you can protect your margins and boost conversions — without relying on blanket sales.

Turning chat into a personal shopper (that never sleeps)

AI-powered chat is no longer just a glorified FAQ. Today, it can act as a real-time shopping assistant — guiding customers, boosting conversions, and helping your team reclaim time.

That’s exactly what Pepper did with “Penelope,” their AI Agent built on Gorgias.

With a rapidly growing product catalog (22 new SKUs in 2024 alone), Pepper knew shoppers needed help discovering the right products. Customers often had questions about styles, materials, or sizing, and if they didn’t get answers right away, they’d abandon carts and move on.

Instead of hiring more agents to keep up, Pepper deployed Penelope to live chat and email.

Her job?

  • Instantly answer questions about fit, fabric, or product differences
  • Guide shoppers toward the best option for their needs
  • Recommend complementary products (like matching panties or bottoms)
  • Free up agents to focus on higher-value 1:1 moments, like virtual fit sessions
“With AI Agent, we’re not just putting information in our customer’s hands; we’re putting bras in their hands... We’re turning customer support from a cost center to a revenue generator.”
—Gabrielle McWhirter, CX Operations Lead at Pepper
Pepper uses Gorgias's AI Agent on their website via chat.
Pepper uses AI Agent to provide proactive sales support on chat, handling objections and encouraging customers to make informed purchases.

Let’s look at how Penelope performs on the floor:

Real-time recommendations

A shopper asked about the difference between two wire-free bras. Penelope broke down the styles, support level, and fabric in plain language — then followed up with personalized suggestions based on the shopper’s preferences.

Proactive engagement

Using Gorgias Convert chat campaigns, Pepper triggers targeted messages to shoppers based on behavior. If someone is browsing white bras? Penelope jumps in and offers assistance, often leading to faster decisions and fewer abandoned carts.

Intelligent upsells

If a customer adds a swimsuit top to their cart, Penelope suggests matching bottoms. No full-screen popups, no awkward sales scripts — just thoughtful, helpful guidance.

Support and sales in one

Penelope also handles WISMO tickets and return inquiries. If a shopper is dealing with a sizing issue, Penelope walks them through the return process and links to Pepper’s Fit Guide to make sure the next purchase is spot on.

Pepper uses AI Agent to automatically answer product questions.
A customer asks about the fabric used in her Pepper bra. AI Agent successfully responds with the proper details in a natural tone of voice.

By implementing AI into chat, Pepper saw a 19% conversion rate from AI-assisted chats, an 18% uplift in AOV, and a 92.1% decrease in resolution time.

With Penelope handling repetitive and revenue-driving tasks, Pepper’s team now has more time to offer truly personalized touches — like virtual fit sessions that have turned refunds into exchanges and even upsells.

Curating bundles with AI-powered sales data

Bundling is a proven tactic for increasing AOV — but most brands still rely on subjective judgment calls or static reports to decide which products to group.

AI can take this a step further.

Instead of just looking at what’s bought together in the same cart, AI can analyze purchase sequences. For example, what people tend to buy as a follow-up 30 days after their first order. This gives you powerful clues into natural buying behavior and bundling opportunities you might’ve missed.

If you’re looking to explore this at scale, you can use anonymized sales data and feed it into AI tools to surface patterns in:

  • Frequently bundled items
  • Follow-up purchases within a set time frame
  • High-value product pairings with repeat potential

Try this prompt:

 "Analyze this spreadsheet of order data and identify product bundle opportunities. Look for: (1) products frequently purchased together in the same order, (2) items commonly bought as a second purchase within 30 days of the first, and (3) patterns in high-value or high-frequency product pairings. Provide insights on the most promising bundles and why they might work well together."

Just make sure you’re keeping customer data anonymous — and always double-check the insights with your team.

Related: Ecommerce product categorization: How to organize your products

AI for support

AI isn’t just here to deflect tickets. From quality assurance to proactive outreach, AI can elevate the entire support experience — on both sides of the conversation.

Quality checks powered by AI

Manual QA is slow, selective, and often feels like it’s chasing the wrong tickets.

That’s where Auto QA comes in. Instead of reviewing just a handful of conversations each week, Auto QA evaluates 100% of private messages, whether they’re handled by a human or an AI agent.

Every message is scored on key metrics like:

  • Resolution completeness
  • Brand voice
  • Empathy and tone
  • Accuracy

It gives support leaders a full picture of how their team is performing, so they can coach with clarity, not just gut feeling.

Here’s what brands can do with automated QA:

  • Save time by focusing only on the conversations that need attention
  • Ensure consistency across agents and AI with a single scoring standard
  • Improve agent performance with targeted coaching and feedback
  • Deliver higher-quality support that customers actually notice

Let’s walk through a real example.

Customer: “Hi, my device broke, and I bought it less than a month ago.”

Agent: “Hi Kelly, please send us a photo or a video so we can determine the issue with your device.”

Auto QA flags this interaction with:

  • Communication Score: 3/5 — The agent was clear, but could have shown more empathy in tone.
  • Resolution Score: Complete — The issue was addressed effectively.

Proactive support that reaches out first

Reactive support is table stakes. AI takes it a step further by anticipating issues before they happen — and proactively helping customers.

Let’s say login errors spike after a product update. AI detects the surge and automatically triggers an email to affected customers with a simple fix. No need for them to dig through help docs or wait on chat — support meets them right where they are.

Proactive AI can also be used for:

  • Order delay notifications with live tracking updates
  • Subscription renewal reminders
  • Back-in-stock alerts with support follow-up for next steps

This saves the time of your agents because the AI will spot problems before they turn into tickets.

Understanding sentiment at scale

Your customers are telling you what they think. AI just helps you hear it more clearly.

By analyzing reviews, support tickets, post-purchase surveys, and social comments, AI can spot sentiment trends that might otherwise fly under the radar.

For example:

  • Multiple reviews mention “runs small”? AI flags it, so your team can update the product description or add a sizing chart.
  • A sudden rise in “frustrated” language in support tickets? Time to check if something’s off with your shipping or product quality.

Related: 12 ways to upgrade your data and trend analysis with Ticket Fields 

Personalization at scale starts with the right AI stack

Whether you’re enriching customer data, making smarter product recommendations, triggering dynamic pricing, or proactively resolving support issues, AI gives your team the power to scale personalization without sacrificing quality.

With Gorgias, you can bring many of these use cases to life — from AI-powered chat that drives conversions to automated support that still feels human. 

And with our app store, you can tap into additional AI tools for data enrichment, direct mail, bundling insights, and more.

Personalized ecommerce doesn’t have to mean more work. With the right AI tools in your corner, it means smarter work — and better results.

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min read.

Should Brands Disclose AI in Customer Interactions? A Guide for CX Leaders

Explore the risks, benefits, and best practices for AI transparency in customer support. Plus, a framework to help you decide whether or not to disclose AI.
By Tina Donati
0 min read . By Tina Donati

TL;DR:

  • Check legal requirements. Some regions mandate AI disclosure—stay compliant.
  • Transparency impacts trust. Some customers appreciate honesty; others may disengage.
  • Frame AI as helpful. Position it as a support tool, not a human replacement.
  • Refine your approach over time. Monitor feedback and adjust AI disclosure as needed.
  • 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.

    The legal landscape: What are the disclosure requirements?

    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:

    • In email: Use your email signature to indicate that AI has assisted in generating the response.
    • In chat: Update your Privacy Policy to clarify when AI is involved 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

    How does disclosure impact trust and satisfaction?

    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:

    1. Clear disclosure: They want to know when AI is (and isn’t) used in customer interactions.
    2. Simple, non-technical language: AI disclosures shouldn’t feel like reading a terms-of-service agreement. Keep it digestible.
    3. Easy-to-find information: AI disclosures should be visible—not buried in fine print. A chatbot notification, a banner on your site, or a brief message before an AI-powered chat begins can make a big difference.

    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 business perspective: Risks and benefits of AI transparency

    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.

    Risks of disclosure

    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.

    Benefits of disclosure

    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.

    Example: How Arcade Belts used AI transparency without losing the human touch

    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.

    Arcade Belts' website uses Gorgias Chat to automate FAQs
    Arcade Belts uses Gorgias Automate to automatically answer common questions.

    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.

    Decision-making framework: Should you disclose AI?

    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:

    Step 1: Assess legal requirements

    Before making any decisions, ensure your brand is compliant with AI transparency regulations.

    • Research regional laws governing AI disclosure, as requirements vary by jurisdiction.
    • Consult legal counsel to confirm whether your AI usage falls under any mandated disclosure policies.
    • Stay informed on evolving AI governance frameworks that could introduce new compliance obligations.

    Step 2: Review customer expectations and brand positioning

    AI transparency should align with your brand’s values and customer experience strategy.

    • Consider whether transparency supports your brand’s messaging—does your audience expect openness, or do they prioritize seamless interactions?
    • Analyze customer sentiment through surveys and engagement data to determine if they prefer knowing when they’re speaking with AI.
    • Review past AI interactions to identify patterns in customer reactions and adjust your approach accordingly.

    Step 3: Test both approaches and measure the impact on CSAT

    Rather than making assumptions, run controlled tests to see how AI disclosure affects customer satisfaction.

    • Conduct A/B tests comparing interactions with and without AI disclosure.
    • Track key support metrics like response time, CSAT scores, and AI resolution rates to measure effectiveness.
    • Experiment with different positioning strategies—does framing AI as a helpful assistant improve customer perception?

    Step 4: Adjust based on customer feedback and industry trends

    AI strategies shouldn’t be static. As customer preferences and AI capabilities evolve, brands should refine their approach accordingly.

    • Regularly collect customer feedback to understand how AI disclosure impacts their experience.
    • Monitor industry trends to see how competitors and market leaders are handling AI transparency.
    • Stay flexible—if sentiment shifts, be ready to adjust your disclosure strategy to maintain trust and efficiency.

    Best practices for AI disclosure (if you choose to disclose)

    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.

    First, make AI part of your brand voice

    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.

    AI Agent responding to good customer feedback with a discount
    AI Agent uses an outgoing, enthusiastic, and approachable tone.

    Read more: AI tone of voice: Tips for on-brand customer communication

    Clarify the AI’s role

    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.

    Blend human and AI seamlessly

    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."

    Frame AI messaging positively

    AI disclosure doesn’t have to feel like an apology. Instead of focusing on limitations, highlight the benefits AI brings to the experience:

    • Faster responses
    • 24/7 availability
    • Instant answers to common questions

    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.

    Monitor customer feedback and adjust messaging

    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… 

    When AI is done right: Jonas Paul’s success story

    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. 

    AI Agent responding to a customer asking about what eyeglass lenses to choose
    AI Agent helps a customer with the lens selection process.

    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.

    Make AI transparency work for you with AI Agent

    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:

    • The Guidance, Articles, or Macros it referenced
    • The source of any account information it used
    • A prompt for your feedback to continually refine and improve responses

    Excited to see how AI Agent can transform your brand? Book a demo.

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    min read.
    Create powerful self-service resources
    Capture support-generated revenue
    Automate repetitive tasks

    Further reading

    What to Do After Black Friday: A Guide to Post-BFCM Planning

    By Tina Donati
    min read.
    0 min read . By Tina Donati

    TL;DR:

    • Reflect quickly: Analyze customer service metrics like CSAT, FRT, and ticket volume immediately after BFCM to identify what worked and what didn’t.
    • Optimize self-service: Update FAQs and help centers to address gaps revealed in BFCM support inquiries.
    • Streamline operations: Audit staffing, inventory, and fulfillment to avoid bottlenecks in future peak seasons.
    • Turn insights into action: Use BFCM data to set measurable goals and implement quick wins for success next year.

    Nailing customer support during BFCM is all about staying ahead of the game and making smart moves—fast. 

    But the real key to success lies in what you do when the rush is over. Treating BFCM as a learning opportunity allows you to refine your customer experience (CX) and set yourself up for an even better performance next year.

    Without a plan for what to do after Black Friday, it’s easy to repeat mistakes or overlook key trends that could make all the difference next year.

    In this article, we’ll share a simple framework to help you evaluate your BFCM performance and turn insights into actionable steps for long-term CX improvement.

    {{lead-magnet-1}}

    Key areas to review post-BFCM 

    It’s best to reflect on key areas like customer service, tech performance, customer behavior, and operations right after BFCM versus waiting until late next year. 

    By taking a closer look now, you can spot what worked, fix what didn’t, and start applying those insights to other big sales events throughout the year—not just BFCM. 

    A little effort now = a lot of payoff later!

    1. Customer service metrics: Where did your team shine (or struggle)?

    By analyzing key metrics, you can identify what worked, where your team excelled, and what areas need improvement to better prepare for future busy seasons. Key metrics include:

    • Customer Satisfaction (CSAT): Gauge how happy customers were with their interactions. Look for trends in both positive and negative feedback to pinpoint what delighted or frustrated customers.
    • First Response Time (FRT): Assess if your team met expectations for quick responses during peak periods.
    • Average Resolution Time (ART): Evaluate how efficiently issues were resolved and whether there were any bottlenecks.
    • Contact Rate: Examine whether there was a surge in inquiries, and uncover why.
    • Net Promoter Score (NPS): Determine how likely customers are to recommend your brand post-BFCM.
    • Ticket Volume: Review peak times and common customer issues. This insight can help forecast future support needs and ensure your team is adequately prepared for high-demand events.

    Tools like Gorgias’s Ticket Insights can reveal which issues—like discounts, shipping policies, or damaged orders—dominated your support tickets.

    View the top 10 ticket field values used during a selected period and their evolution over time.
    Monitor your top trending tickets during a time period. 

    For a more comprehensive view, Gorgias’s Support Performance dashboard shows how customer service influenced sales, including tickets converted, conversion ratios, and total revenue. These insights are invaluable for understanding the connection between support efficiency and revenue growth.

    View the number of tickets replied to, messages sent, and more under Support Performance Statistics.
    Gorgias shows you how productive your team was at responding to tickets.

    Brands like Obvi, a leading supplement company, have leveraged Gorgias to enhance their support strategies.

    Obvi serves a large number of shoppers seeking pre-sales guidance to choose the right supplements. By using Gorgias’s Flows and Article Recommendations, they provide instant, automated answers to frequently asked questions directly within Chat.

    Here’s how it works:

    • Flows offer shoppers a menu of common queries about products and shipping, providing fast answers to top concerns.
    • For more specific questions, Article Recommendations scan Obvi’s Help Center articles and share the most relevant answer. For example:some text
      • How do I mix Obvi collagen?
      • Is Obvi vegan?
      • Can I take collagen while pregnant?

    Obvi uses Gorgias Automate to display a chat widget on their website
    Obvi uses Gorgias’s Flows to automatically answer customers’ FAQs.

    To fine-tune their approach, Obvi uses data from their tickets to identify recurring customer questions. By analyzing the gaps between their initial FAQs and real customer inquiries, they adjusted their automated responses to better meet customer needs.

    Obvi's chat can automatically send article recommendations to customers, no agent required
    Article Recommendations allows Obvi to give customers the most relevant articles to their questions.
    “We thought we knew what our FAQs were, but data from Gorgias was incredibly insightful to understand which FAQs to automate. That's one reason it's really valuable to have our Helpdesk tickets and automation features in one tool.”

    — Ron Shah, CEO and Co-founder at Obvi

    2. Technical performance: Did your tools hold up under pressure?

    While marketing efforts often steal the spotlight, savvy brands know that backend systems are the unsung heroes of Black Friday and Cyber Monday. 

    Start by auditing critical areas such as platform downtime, checkout errors, or slow response times. These issues not only frustrate shoppers but can also lead to lost revenue and customer loyalty during your busiest shopping days of the year.

    Next, evaluate how well your tools were able to manage peak volumes. Did your helpdesk, CRM, and ecommerce platforms work seamlessly together, or were there gaps in your integrations?

    If switching between platforms slowed your team down or caused data silos, consider streamlining your tech stack with an all-in-one CX solution.

    For example, platforms like Gorgias enable CX teams to consolidate support, sales, and automation into a single tool. Gorgias combines Helpdesk and Automate to resolve customer issues efficiently, while Convert supports upselling and increasing customer lifetime value.

    A streamlined, integrated platform not only boosts efficiency but also helps your CX team focus on what matters most: delivering exceptional customer experiences.

    3. Customer trends and behavior: What did your shoppers really want?

    Start by reviewing product demand, buying patterns, and cart-building behaviors. Were there any unexpected customer needs or shifts in preferences? Identifying these trends can help you refine your inventory planning, marketing strategies, and product offerings.

    For example, here’s a detailed breakdown of what to look for:

    Product demand shifts

    Use these insights to adjust inventory planning for future campaigns. Ensure you have sufficient stock of trending products and create promotional bundles for underperforming items.

    • Which products outperformed expectations? Were they planned bestsellers or surprise hits?
    • Did slow-moving products unexpectedly gain traction, or did top-sellers underperform?

    Cart-building behaviors

    Tailor future cart-building promotions to encourage higher Average Order Value (AOV). For instance, highlight complementary products or offer discounts on bundles.

    • Did customers prefer individual purchases, or did bundling promotions drive higher AOV?
    • Were there abandoned cart trends tied to specific products or price thresholds?

    Unexpected customer needs

    Incorporate these suggestions into your product development or cross-sell strategies. Highlight related products in future campaigns to meet these emerging needs.

    • Did reviews or support tickets indicate demand for features, colors, or sizes you didn’t offer?
    • Were there inquiries about add-on products or product pairing ideas?

    Self-serve helpfulness

    If you have an FAQ page or Help Center, evaluate how well it performed. Did customers find the information they needed, or did they still open tickets for common questions? 

    Metrics like Article Views, Number of Searches, and Click-Through Rates can show how effectively your self-service resources meet customer needs. 

    If customers contact support for information already in your Help Center, it may indicate unclear articles or poor visibility of resources. This means you should rewrite unclear articles, optimize search terms, and ensure Help Center links are prominently displayed across your website and emails.

    4. Operational challenges: Where did the stress show up most?

    BFCM is a stress test for your operations, and reflecting on how well your systems handled the surge can help you uncover critical areas for improvement. 

    Staffing

    Start by reviewing your staffing during peak periods. Did your customer service and warehouse teams feel overwhelmed, or were they adequately supported? 

    Questions to Ask:

    • Were there enough team members to handle the workload?
    • Did customer service or warehouse teams experience burnout or delays?

    Next Steps:

    • Plan staffing schedules around peak demand forecasts.
    • Cross-train employees to cover high-pressure roles, such as fulfillment or customer support.
    • Offer incentives, like performance bonuses, to encourage seasonal staff retention.

    Preparing your team with a more flexible schedule and extra resources for high-demand areas can make all the difference.

    Order fulfillment

    If order fulfillment workflows slowed down or became error-prone, it may be time to optimize your processes.

    Questions to Ask:

    • Were there delays in shipping or errors in packaging?
    • Did order accuracy or speed decline as volumes increased?

    Next Steps:

    • Audit fulfillment workflows to identify slow or repetitive steps.
    • Invest in automation for picking, packing, and shipping processes.
    • Partner with a third-party logistics (3PL) provider if in-house capacity was overwhelmed.

    Inventory management

    Stockouts or overstock situations during BFCM can directly impact both sales and customer satisfaction.

    Questions to Ask:

    • Did stockouts or overstock situations impact your Black Friday sales?
    • Was inventory tracking accurate during the busiest days?

    Next Steps:

    • Implement real-time inventory tracking to reduce discrepancies.
    • Use demand planning software to improve forecasting for top-selling products.
    • Bundle slow-moving inventory with bestsellers in future holiday deals to avoid overstock.

    Operational challenges often have a ripple effect on customer experience. By reflecting on these areas—staffing, fulfillment, and inventory—you can identify actionable improvements that streamline operations and create a smoother experience for both your team and your customers.

    Building a CX improvement plan post-BFCM

    Once you've reviewed the key areas of your BFCM performance, the next step is turning those insights into actionable strategies. Here’s how to build a CX improvement plan that sets you up for long-term success.

    Step 1: Document lessons learned before they’re forgotten

    Start by centralizing everything you’ve uncovered from your retro. 

    Use collaborative tools like Notion, Google Docs, or Trello to organize insights across customer service, tech performance, and operations. 

    And don’t just focus on observations—highlight actionable takeaways. For example, instead of noting “high contact rates,” document the underlying causes, like gaps in FAQs or unclear return policies.

    If you’re feeling overwhelmed by the volume of data, let AI do the heavy lifting. Use prompts like these to quickly spot patterns:

    • “Analyze the common themes in this ticket data and summarize the top three trends.”
    • “Identify recurring customer complaints and suggest improvements to address them.”
    • “Provide recommendations to optimize self-service options based on this dataset.”

    AI tools can save you time and ensure nothing slips through the cracks as you plan your next steps.

    Step 2: Tackle your biggest support pain points

    Analyzing challenges in your CX processes can reveal quick wins and long-term improvements. Here are a few common support pain points and how to address them:

    High Contact Rates

    A surge in customer inquiries often signals that self-service options aren’t meeting expectations.

    Solution: Add or update tools like chat widgets, Help Centers, and post-purchase emails to proactively answer common questions.

    Inconsistent Response Times

    This usually points to workflow inefficiencies or a lack of team bandwidth.

    Solution: Use automation to prioritize urgent tickets, deflect repetitive inquiries, and ensure smoother workflows.

    Low CSAT Scores

    Frustration with slow resolutions or insufficient empathy often leads to poor satisfaction ratings.

    Solution: Invest in empathy training and implement faster resolution strategies, like automating FAQs or integrating sentiment detection tools to flag unhappy customers.

    AI Escalation Issues

    While tools like Gorgias’s AI Agent can streamline support, improper setup can lead to automation loops that frustrate customers.

    Solution: Define rules for when AI should escalate to a human, feed it more comprehensive data (like updated Help Center articles), and set boundaries for topics it shouldn’t handle.

    Poor service snowball effect
    Whether your support team is underwhelmed or overwhelmed, the end result is poor customer service.

    For example, even with the efficiency provided by their Helpdesk, Obvi found Black Friday and Cyber Monday to be a hectic and stressful period for their small customer support team—just one full-time agent and half of another team member’s time. 

    The influx of customer inquiries made it difficult to focus on more complex tickets that could save sales from unhappy customers or convert inquiries into purchases. Instead, their team was bogged down by thousands of repetitive questions, like Where is my order?

    Automating answers to repetitive questions gave the Obvi team the room to focus on personalized and revenue-driving customer interactions, like engaging with their community of 75,000 women.

    “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

    The extra bandwidth helped Obvi drive over 3x the purchases from support conversations compared to previous years. Automate also enabled their team to reach inbox zero by 6 pm—during Black Friday week!

    By automating 27% of their inquiries, they not only improved their response times but also handled over 150 tickets daily with just 1.5 agents, driving 10x more sales during BFCM

    Step 3: Focus on quick wins that deliver big impact

    Even the smallest changes can deliver a big impact. 

    For example, update FAQs based on ticket trends or refine chat flows to reduce repetitive questions. Consolidating your CX tools into an omnichannel helpdesk like Gorgias can also reduce agent workload while delivering consistent customer experiences.

    Repetitive inquiries—like shipping updates, return questions, or product FAQs—don’t need to consume your team’s time. Automating these workflows can significantly lighten your team’s load while keeping response times quick.

    Gorgias users, for example, can automate up to 60% of support tickets with tools like AI Agent, enabling teams to focus on higher-value interactions. 

    Quick wins aren’t just about streamlining support—they can also drive measurable results. 

    For instance, Pajar, a footwear brand, leverages AI Agent to handle common inquiries in English and French. While this is a feature they use year-round, it’s handy during holiday shopping seasons when support teams are under pressure to respond quickly.

    AI Agent is a conversational assistant that answers support tickets

    AI Agent is a conversational support assistant that can answer and resolve customer inquiries.

    This freed up their small team of five agents to focus on complex tickets, achieving impressive results:

    • Resolved 45% of queries with automation, surpassing their 30% goal.
    • Reduced first response times to just 12 minutes.
    • Maintained high satisfaction scores by delivering timely, accurate responses.

    With tools like AI Agent and Sentiment Detection, you can automate prioritization for tickets—such as flagging urgent issues or unhappy customers—while still maintaining a personal touch.

    Step 4: Level up training and leverage your team’s tools

    Peak season often highlights gaps in both team training and CX tools. Addressing these areas not only improves your team’s ability to handle high-pressure situations but also fosters a stronger customer-first mindset across your organization.

    Start by leveraging the feedback you’ve collected. Your team has so much data they can review between channels like email, SMS, chat, and social media—both compliments and complaints. You need to be willing to listen to every customer’s needs.

    At Love Wellness, customer feedback is treated as a daily priority. 

    The team has a dedicated Slack channel for feedback, where team members regularly drop insights from all touchpoints. This collaborative approach helps them get familiar with recurring themes, dissect customer needs, and work together on solutions. 

    Love Wellness shares feedback on their team Slack
    Love Wellness made a customer feedback channel to highlight positive customer reviews.

    The Love Wellness team recommends scheduling recurring feedback share sessions with Product or Website teams—or even inviting those teams into Gorgias to create dedicated views for feedback categories like product improvements or website issues.

    Beyond tools and processes, training is crucial. Their team also emphasizes the importance of fostering a customer-first mindset at all levels:

    Customer service is one of the main ways they build trust with customers, especially in the personal care and women’s health niche. That’s why the Love Wellness team created an immersive customer experience training program that involves everyone—from the company's president to its office manager.

    This holistic approach ensures that every team member, regardless of their role, understands the company’s purpose and how their actions contribute to a seamless customer experience. 

    Step 5: Prove the ROI of CX to get more resources

    Your customer support team isn’t just there to clear tickets—it’s a key driver of revenue, retention, and customer lifetime value (CLV). Yet, too many teams measure success based solely on metrics like response and resolution times. While these are important, they’re only part of the story.

    As Zoe Kahn, Manager of Customer Experience and Retention at Chomps, explains:

    “Aiming for overly broad goals of ‘surprising and delighting’ customers without a real understanding of how support impacts the whole customer journey or business ROI is a common pitfall. Customer experience, largely driven by the support team, touches every stage of the journey—from pre-sales to post-sales—and directly influences more sales and loyalty.”

    To demonstrate CX’s value, it’s crucial to track metrics that reflect your team’s true impact on the business. For example:

    • Customer Retention Rate (CRR): How well does your team retain customers over time?
    • CSAT Scores: Are your customers satisfied enough to return or recommend your brand?
    • Revenue From Support Conversations: How many sales are driven by proactive or reactive support interactions?

    By focusing on these KPIs, you’ll incentivize your support team to go beyond answering questions and actively contribute to business goals. This could include suggesting products during conversations, encouraging happy customers to leave reviews, or proactively addressing issues that lead to churn.

    Revenue Statistics
    See how many customer support tickets turned into online sales with the Revenue Statistics dashboard.

    Teams using Gorgias have even greater opportunities to prove ROI through tools like the Revenue Statistics dashboard, which tracks metrics like tickets converted into sales, conversion rates, and total revenue driven by support interactions.

    “Without knowing how much money your customer experience (CX) drives, you’ll never fully understand your impact on the business or have the data needed to advocate for more resources from leadership.”

    — Zoe Kahn, Chomps

    Set smarter goals next year

    The best way to close out your post-BFCM retro is by setting clear, measurable goals for next year. Use this year’s insights to create actionable targets that enhance your customer support and CX strategy:

    • Reduce ticket volume: Implement or improve self-service options like FAQs, chatbots, and Help Centers.
    • Decrease response and resolution times: Optimize workflows, invest in automation, or plan for better staffing during peak periods.
    • Boost CSAT: Address recurring customer pain points, streamline support processes, and train your team to deliver more empathetic, effective service.

    Tools like Gorgias make it easier to turn these goals into reality. With powerful automation, integrated insights, and scalable support solutions, you can transform this year’s lessons into meaningful, lasting improvements.

    Start planning now to make next year’s BFCM your smoothest—and most successful—yet!

    {{lead-magnet-2}}

    How We Keep Talent Density High and Impact Higher at Gorgias

    By Adeline Bodemer
    min read.
    0 min read . By Adeline Bodemer

    TL;DR:

    • High talent density means a team where every member is highly skilled and performs at their peak. This creates a positive ripple effect, where talented individuals enhance each other's effectiveness and drive overall success.
    • Gorgias maintains high talent density by following three pillars: hire great talent, part ways with non-performers, and nurture your talent pool.
    • Train managers to share 100% honest feedback with direct reports. Honest feedback, performance improvement plans, and fair severance ensure a respectful and constructive approach to managing team dynamics.
    • Measure talent density with key metrics. These include performance scores over time, cross-evaluation reviews, regrettable attrition rates, and transparent promotions to ensure fairness and improvement.

    At Gorgias, we’ve embraced the concept of high talent density, introduced by Netflix co-founder and CEO Reed Hastings in No Rules Rules, as a foundation of how we operate. The idea is simple: a team is at its best when every member is highly skilled and performing at their peak.

    I’ll walk you through exactly how we’ve built a workplace that prioritizes talent density by breaking down what the concept means, how it shapes our hiring process, and how we keep Gorgias a rewarding environment to grow in.

    What is high talent density?

    High talent density refers to having a team where each member is highly skilled and performs at their best. When a group consists of top performers, their collective effectiveness increases. Hastings notes, "Talented people make one another more effective."

    For example, in a team of five exceptional employees, each individual's high performance elevates the group's overall success. If there is even one underperformer, a team's effectiveness decreases by 30 to 40 percent.

    The three pillars of high talent density

    We follow three pillars to maintain and grow high talent density. These pillars guide how we build and sustain a team of exceptional performers at Gorgias.

    1. Hire Great Talent: We look for people who excel in their roles today and show the potential to grow with the company in the future.
    2. Part Ways with Non-Performers: We prioritize honest feedback and offer support for improvement, but we’re not afraid to make changes when necessary.
    3. Nurture Your Talent Pool: We invest in our team’s development, ensuring everyone has the tools and opportunities to succeed as the company grows.

    To bring this to life, we’ll use an analogy of colors to represent different types of performers in our talent pool:

    Diagram of the 3 pillars of high talent density pillars
    At Gorgias, our talent pool consists of great talents (dark green circles), performers (light green), underperformers (pink), and non-performers (red).

    Let’s take a closer look at how we practice each of these pillars below.

    Pillar #1: Hire great talents

    Every manager wants to hire someone exceptional, but even with the best intentions, it doesn’t always work out.

    To clarify, we’re looking for someone great to do the job now but has the potential to grow and stay strong as the company evolves. 

    Here’s how we approach it.

    Pay well (i.e. transparently and competitively)

    Let’s be upfront: great talent often comes with a higher price tag. 

    The first step in building high talent density is offering competitive pay. Exceptional people expect to be compensated for their contributions, and rightly so.

    A single outstanding hire, even if paid 50% more than two average employees, often delivers far greater results. 

    This is especially true in creative roles, where the impact of a single talent can be worth that of several others. It’s certainly not easy to prioritize compensation when resources are tight, but talented people are an investment — and talent is usually expensive.

    Related: How we built an international SAAS salary calculator for our distributed team

    Focus on sourcing, not just applicants

    Great candidates don’t always come knocking on your door. The best talent is often already employed, not actively looking for a new role. 

    To hire the best, we go beyond applications and invest heavily in proactive sourcing.

    Use a structured recruiting playbook

    At Gorgias, we rely on scorecards and standardized feedback forms to assess every applicant fairly and thoroughly. We also include role-specific assessments or assignments as part of the process. 

    While some argue that take-home tasks are no longer standard, we’ve found them invaluable. A strong interview doesn’t always translate into strong performance, and these assignments often reveal critical insights into a candidate’s true capabilities.

    Referrals are another piece of the puzzle. A-players tend to know and recommend other A-players. While leveraging referrals, we also keep a close eye on maintaining diversity to make sure everyone gets the same chance.

    Pillar #2: Part ways with non-performers

    Regularly assess your talent pool

    Performance isn’t static. Someone who was a top performer last year might not meet expectations today, especially as the company grows and their role evolves.

    To stay objective, we pair performance reviews with bi-yearly cross-evaluation talent reviews. Cross-evaluations provide a broader perspective, helping managers see beyond potential biases and assess whether a top talent has changed in performance quality.

    These regular evaluations ensure we’re always aware of who is meeting expectations and who may need support or a more difficult conversation.

    Enforce honest feedback with your managers

    While Netflix's philosophy is to immediately separate with employees when they underperform, we believe in a more empathetic approach that follows our company’s core value of being 100% honest.

    At Gorgias, we train managers to deliver clear, actionable feedback so team members always know where they stand and how they can improve. To us, honesty means being thoughtful, encouraging, and focused on helping people grow. 

    We also use Performance Improvement Plans (PIPs) as a tool for growth. We don’t simply view them as compliance tools, but as opportunities for employees to get back on their feet. In fact, 50% of our PIPs result in team members regaining performance.

    Provide fair and generous severance packages

    Sometimes, despite feedback and coaching, parting ways becomes the best option for both the employee and company. When that happens, we believe in making the transition as respectful and fair as possible.

    Offering a strong severance package not only supports employees during their transition but also empowers managers to make tough decisions confidently. It reflects our shared responsibility and ensures we treat people with dignity, even when their time with us comes to an end.

    Pillar #3: Nurture your talent pool

    Help talent grow alongside the company

    When a company grows, employees need to match that pace to keep delivering at a high level. This requires consistent learning and development to meet the challenges of each new stage.

    Growth doesn’t happen by accident. As Daniel Coyle explains in The Talent Code, greatness isn’t born; it’s grown through “deep practice.”

    To encourage growth, Gorgias managers hold career conversations every six weeks, focusing on the “3Es”: education, exposure, and experience. These discussions identify growth areas, leverage networks, and clarify the steps team members can take to excel.

    We also reward our top performers with opportunities beyond financial incentives. From double learning stipends to travel experiences and executive mentorships, these rewards keep our “dark green” talents motivated and engaged.

    Read more: Why we don’t increase salaries based on performance

    Cultivate a positive and collaborative environment

    In the pursuit of high talent density, results are important, but so is maintaining a positive, team-oriented environment.

    A top performer with a toxic attitude can harm the environment you’re working hard to build. For that reason, we hire and nurture people who align with our values, show respect for others, and contribute to a collaborative culture. Both the what (talented employees) and the how (exemplary behavior) matter. 

    Implement pressure management programs

    I believe this is one of the toughest topics when it comes to talent management.

    Top performers are eager to work hard and prove their worth. Oftentimes, they approach work intensely and passionately. However, too much intensity can lead to exhaustion. And, of course, tired employees can’t deliver well.

    That’s why managing pressure is crucial to maintaining high talent density. Introducing programs and initiatives that support the well-being of your employees helps prevent stress and burnout.

    We take a tailored approach to prevent burnout, recognizing that one size doesn’t fit all. Having strong management training and great HRBPs (HR Business Partners) are the most impactful pieces. They help uncover the underlying issues of burnout: lack of vacation time, heavy workload, personal challenges, or misalignment.

    Once the issues are clear, we provide the right tools to help. This could include coaching, training, enhanced benefits, or adjusted workloads.

    How we measure, refine, and design our talent pool

    We use specific metrics to gain insights into the effectiveness of our talent management strategies and refine our approach as needed.

    Here are the metrics we track to evaluate talent density:

    1. Performance scores over time: We track average performance scores across the company (excluding new hires) to monitor overall talent density.
    2. Cross-evaluation reviews: Our biannual talent reviews include cross-evaluations, introducing variables like leadership, learning agility, and drive to ensure a holistic assessment.
    3. Regrettable attrition rate: We analyze turnover rates to identify potential issues and address them proactively.
    4. Transparent promotions: We’ve developed a promotion process that prioritizes fairness and merit. Managers must document and justify promotions, holding them accountable for consistency and equity.

    By regularly tracking these metrics, we can see where we may be falling short — whether that’s being slow to part ways with low performers, struggling to attract great talent, or losing top performers unnecessarily.

    Building strong organizational design

    The ultimate goal of having strong talent density is to build a well-performing organization.

    After each talent review, HRBPs will work hand in hand with managers to refine the organizational chart. They identify opportunities for improvement, such as promoting top talent, adjusting scopes of responsibility, or making changes to strengthen the team.

    Ultimately, you should always make sure that your top performers are leading the most critical and top-priority initiatives.

    Before prioritizing high talent density, your org may be keeping low performers. After following the three pillars of high talent density, your org will be saturated with top performers.

    A personal note on the journey to high talent density

    In my role as VP of People at Gorgias, I’ve seen how fast growth fuels the resources and opportunities needed to attract and develop exceptional talent. High performers thrive in environments with big goals and fast results, but it’s up to us to create the right conditions for them to succeed.

    Sustaining high talent density takes dedication and humility. It means holding ourselves to high standards while being transparent. While we’ve made great strides, there’s always more to learn and refine.

    As we continue this journey, let us remain humble, acknowledging that there is always room for growth and improvement.

    How 10 Brands Transformed Customer Support Into Revenue in 2024

    By Holly Stanley
    min read.
    0 min read . By Holly Stanley

    TL;DR:

    • Support automation cuts resolution times and saves brands thousands. Dr. Bronner's and LSKD automated 40–45% of tickets, saving $100K annually and cutting resolution times to just over a minute.
    • Phone support is a profitable yet underutilized support channel. Obvi boosted revenue by $22K in 2 months using phone support alongside Gorgias for upselling and subscription retention.
    • Automating returns results in new sales and cost savings. Rumpl recouped $8K in return fees with automated returns, while Pajar resolved tickets in 12 minutes using bilingual AI support.
    • App integrations enhance the customer experience. Shopify, Aircall, and Loop Returns integrations helped brands like Jonas Paul Eyewear slash response times by 96% during peak seasons.

    Scaling great customer support is often seen as a challenge, especially when ticket volumes climb and customer expectations rise. But for CX leads and executives, it’s essential to recognize that support isn’t just a cost center — it’s a profit driver. Exceptional customer support builds loyalty, drives repeat business, and creates upselling opportunities, directly boosting revenue.

    That’s where Gorgias comes in. In this blog, we’ll show you how brands like Rumpl, TalentPop, Stylest, and Baby Gold have turned their support challenges into measurable wins with the power of automation and smart tools.

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    1. Obvi boosted revenue by $22,000 in just 2 months with Gorgias and phone support

    Obvi was leaving money on the table. Without phone support, they faced challenges like subscription drop-offs and missed upsell opportunities. Voice as a support channel wasn’t on their radar, so valuable revenue streams slipped through the cracks. Plus, they lacked a proactive strategy to retain subscriptions.

    By integrating Gorgias’ omnichannel support tech, Obvi transformed their customer experience. They introduced a personalized, phone-based support system tailored to upselling and subscription retention, and partnered with Aventus’ Learning Management System (ALMS) to give their agents expert training.

    The result? 

    A customer support system that delivered exceptional service while boosting revenue.

    Results achieved:

    • Saved 271 subscription orders, equalling $21,244 in revenue.
    • Achieved an average of 20+ upsells per week.
    • Enhanced customer satisfaction and retention through personalized interactions.

    With Gorgias and phone support, Obvi unlocked the potential of voice to grow their business and deepen customer loyalty.

    2. Jonas Paul Eyewear slashed response times by 96% with AI Agent

    During peak seasons like back-to-school, Jonas Paul Eyewear struggled to keep up with the sheer volume of customer inquiries. The small customer care team was overwhelmed with repetitive questions, leading to slower response times and increased stress. They needed an efficient solution to handle the increased load while maintaining excellent service.

    By partnering with Gorgias, Jonas Paul Eyewear transformed their customer service operations. The AI Agent automated responses to common queries like prescription details and return policies, freeing up their team to focus on more complex issues. 

    An integration with Aircall allowed agents to handle phone calls directly within Gorgias, with access to customer interaction history and Shopify data. A Klaviyo integration streamlined inquiries related to home try-on kits and orders. Together, these tools created a customer-focused experience.

    Results achieved:

    • Despite a 28% increase in tickets, the team reduced first response time by 96%.
    • AI Agent influenced $600 in sales in a single month, nearly doubling its $360/month cost.
    • Automated over 30% of support volume, eliminating the need for temporary staff during busy periods.
    "With faster responses and more proactive support through AI, we are seeing happier customers, which obviously translates into more retention and more brand loyalty. Overall with the improvement in first response time, we've really seen an uptick in customer satisfaction and less of an escalation in tickets."

    —Lynsay Schrader, Lab and Customer Service Senior Manager at Jonas Paul Eyewear

    3. Dr. Bronner’s saved $100K annually by automating 45% of customer interactions

    As Dr. Bronner's business grew, so did their customer support challenges. The limitations of their previous system, Salesforce, made it difficult for their small customer experience (CX) team to handle increasing inquiries, especially repetitive questions. As a result, customers experienced longer response times, and the brand needed a more effective solution.

    By switching to Gorgias, Dr. Bronner's transformed their customer support operations. They implemented the AI Agent to automate routine inquiries, allowing their team to focus on more complex, personalized interactions.

    The addition of a comprehensive Help Center empowered customers to find answers independently. At the same time, integrations with Shopify, Aircall, and Loop Returns streamlined the management of orders, returns, and voice communications — all within a single platform.

    Results achieved:

    • Saved $100,000 annually by replacing Salesforce, reducing licensing and development costs.
    • Automated over 45% of customer interactions within two months.
    • Increased customer satisfaction scores by 11% through faster responses and personalized service.
    • Reduced resolution time by 74%, enabling the team to address inquiries more effectively.
    Dr. Bronner's help center
    Dr. Bronner's Help Center
    "Our CX team is small, which is why leaning into automation was so crucial for us. We were really at a turning point at the beginning of the year, and we knew that we had to make a change. We had to make our tools work for us, not against us. Gorgias was a huge opportunity, and we decided to jump in head first. Within the first 30 days, we were able to automate 30% of customer interactions and are now up to 45%."

    —Emily McEnany, Senior CX Manager at Dr. Bronner’s

    4. Pajar automated 45% of tickets to cut response times from days to minutes

    Peak seasons like winter, Black Friday, and Cyber Monday brought immense pressure to Pajar’s small customer service team of five agents. With high ticket volumes and a bilingual customer base (English and French), maintaining quick response times and delivering excellent service became a major challenge. They needed a solution to streamline operations and keep their customers happy.

    Partnering with Gorgias proved to be a game-changer. Pajar implemented the AI Agent to handle common inquiries in both English and French, freeing their team to focus on complex tickets. Automation reduced repetitive tasks, improving team efficiency, while Gorgias’ 30-in-30 onboarding program helped them quickly hit their automation goals.

    Results achieved:

    • Surpassed their 30% goal by fully resolving 45% of queries with automation.
    • Achieved a first response time of just 12 minutes and 15 seconds, and a resolution time of 1 day and 20 hours.
    • Maintained high satisfaction scores by delivering timely, accurate responses in English and French.
    Pajar uses Gorgias Automate to automate frequently asked questions on their website
    Pajar uses Gorgias Automate to automate theanswers to their most common questions.
    "We were nervous to get started at first, but as soon as we had the implementation call it was a huge weight off of our shoulders — we knew it was going to be great. And we were right. The first day we turned it on, we started seeing results right away."

    —Noémie Rousseau, Customer Service Manager at Pajar

    5. LSKD tripled email automation and boosted customer satisfaction with AI Agent

    LSKD, a popular Australian activewear brand, struggled to keep up with a high volume of customer inquiries during peak periods. Their previous system couldn’t handle repetitive queries efficiently, leading to slower response times and an overburdened support team. To maintain their commitment to excellent customer service, they needed a smarter solution.

    Gorgias delivered. By implementing the AI Agent, LSKD automated responses to common questions, enabling their team to focus on complex, high-value interactions. Automation streamlined workflows, reducing manual tasks, while integration with Shopify provided instant access to customer order data. LSKD could respond faster and more accurately, improving the overall customer experience.

    Results achieved:

    • Automated 40% of tickets overall with Gorgias Automate.
    • Reduced first response time from 1 day 2 hours to 1 minute and 2 seconds.
    • Reduced resolution time from 1 day 19 hours to 1 minute and 8 seconds.
    How LSKD tripled email automation rate with AI Agent
    LSKD tripled their email automation rate by using AI Agent.
    "Gorgias AI Agent is going to be a game-changer for us during BFCM. With the ability to provide immediate, personalized responses, we’re confident it will not only reduce the volume of repetitive inquiries but also ensure our community feels supported during the busiest time of the year.”

    —Kailey Burton, Community Experience Head Coach at LSKD 

    6. Baby Gold automated 20% of emails and cut resolution time down to 1 minute 4 seconds

    Baby Gold, a jewelry brand known for its personalized pieces, faced growing challenges in meeting customer demands for quick and efficient support. Their existing customer service system lacked the automation needed to manage repetitive inquiries, leading to slower response times and an increased workload for their team. 

    They needed a solution to improve efficiency and meet customer expectations for rapid assistance.

    AI Agent autonomously resolved customer email tickets by learning the brand’s unique policies and voice while automation reduced manual tasks. Easy integration with their existing systems provided agents with instant access to customer data, enabling quicker, more accurate responses and improving overall efficiency.

    Results achieved:

    • Achieved a 20% email automation rate after joining the AI Agent Beta program.
    • Reached a first response time of 49 seconds and a resolution time of 1 minute and 4 seconds.
    • Answered 1,361 tickets within two weeks.
    "I feel that nowadays, people expect quick responses and rapid assistance. AI and tools such as AI Agent are perfect to meet these expectations."

    —Sindi Melgar, Customer Service Manager at Baby Gold

    7. Psycho Bunny answers tickets 10x faster with AI Agent

    Psycho Bunny, a bold menswear brand known for its edgy take on classic styles, faced a challenge: how to maintain a stellar customer experience while scaling their multi-million dollar business. With a focus on improving key performance indicators (KPIs) and customer satisfaction (CSAT), they needed a solution to boost efficiency without adding to their customer support team’s workload.

    Psycho Bunny implemented AI Agent to handle routine customer inquiries, such as order status, returns, and exchanges, freeing up human agents to focus on more complex, high-value interactions. 

    With automation managing 26% of tickets and integration with existing systems, Gorgias provided the tools to streamline operations and deliver exceptional service, all from one unified platform.

    Results achieved:

    • Resolved 26% of customer tickets through AI Agent.
    • Reduced first response time by 99.8% and resolution time by 99.4%.
    • Queries are answered 10x faster than the team average thanks to AI Agent, with a 4.67 CSAT score.
    "I already love Gorgias because its email and chat capabilities are ahead of the competition, so I trust Gorgias to also build the best AI agent. And having all our CX tools within the same system is important — I don’t want yet another dashboard to check."

    —Tosha Moyer, Senior Customer Experience Manager at Psycho Bunny

    8. Stylest achieved a 35.56% conversion rate with Gorgias Convert

    Stylest, a swimwear brand, set its sights on a big goal: to boost visitor engagement and convert more casual browsers into loyal customers. They wanted to increase sales and highlight their best-selling styles while providing an enjoyable shopping experience.

    To achieve this, Stylest partnered with ECOM DEPARTMENT and implemented Gorgias Convert, an onsite marketing tool designed to optimize customer interactions and drive conversions. With Convert, they launched targeted campaigns that effectively guided visitors toward completing their purchases without disrupting the shopping experience.

    Results achieved:

    • Achieved an impressive 35.56% conversion rate through exit intent campaigns.
    • Campaigns contributed to a 20% lift in Average Order Value (AOV) revenue.
    • Over 90 days, campaigns influenced 3% of total revenue, with a peak impact of 18%.

    9. TalentPop expanded its customer base by 410 clients through a strategic partnership with Gorgias

    TalentPop, a customer service management agency serving ecommerce brands, set out to expand its client base and elevate its service offerings. To achieve these goals, they needed a partner that could align with their go-to-market strategies, provide innovative tools, and help attract new business.

    TalentPop tapped into Gorgias’ robust platform and co-selling initiatives to acquire mutual customers.

    They received tailored guidance to plan forward-thinking strategies, looking 1–2 years ahead, while maintaining a high standard of service delivery. Access to essential tools and operational support allowed TalentPop to streamline processes, boost efficiency, and increase revenue from customer support services.

    Results achieved:

    • Acquired 410 mutual customers through effective co-selling efforts.
    • Perfectly aligned go-to-market strategies with Gorgias, critical for winning key accounts.
    • Helped their client Silky Gem to automate 40% of 5,000 monthly tickets.
    "Gorgias has been instrumental in TalentPop’s growth from the start of our partnership. They have provided key prospect opportunities, supported us in winning accounts, and invested in TalentPop by bringing on best-in-class customer service agents to support their teams."

    —Olivia Parker, Senior Partnerships Manager at TalentPop

    10. Rumpl recouped $8,000 in return fees and achieved 4.89 CSAT

    Rumpl’s manual, 3PL-dependent returns process was time-consuming and inefficient, with resolutions taking 2–3 weeks. A reliance on shared Excel sheets created operational bottlenecks during busy periods and frustrated customers.

    By integrating Loop Returns with Gorgias, Rumpl automated and streamlined their returns process. Customers could manage returns and exchanges via an automated portal in the Gorgias chat widget. Self-service tools and automated communications reduced manual workloads, while centralized support within Gorgias improved efficiency and visibility.

    Results achieved:

    • Cut first resolution time by 39% with automation.
    • Recouped $8,000 in return fees by converting 31.4% of returned revenue into exchanges or store credit.
    • Boosted CSAT to 4.89 by delivering quicker, more efficient service.
    "The Gorgias/Loop integration has been really useful for us. Being able to view return info in Gorgias, then open that return in Loop with one click, makes it super easy to navigate and resolve any issues the customer might have."

    —Jacob Cantu, Senior Customer & People Experience Manager at Rumpl

    Turn customer support into your brand’s growth engine

    Great customer support goes beyond answering questions. It involves building trust, driving loyalty, and turning everyday interactions into opportunities for growth. From streamlining returns to automating repetitive tasks, brands like Rumpl, TalentPop, Stylest, and Baby Gold show how the right tools can transform support into a revenue-driving powerhouse. 

    With Gorgias, you can work smarter, resolve issues faster, and create exceptional experiences that keep your customers coming back.

    Want to see how Gorgias can help you scale your support and grow your business? Book a demo today and discover the tools that will take your customer experience to the next level.

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    AI Tone of Voice: Tips for On-Brand Customer Communication

    By Alexa Hertel
    min read.
    0 min read . By Alexa Hertel

    TL;DR:

    • Tone of voice builds trust. A consistent tone of voice helps create personal connections with customers and builds trust in your brand, even when using AI.
    • Analyze your brand's personality to find your tone. Review customer conversations, website copy, and marketing materials.
    • AI can mimic brand voice by learning your data. This data includes your brand’s help docs, internal guidebooks, macros, and brand guidelines.
    • Keeping AI on-brand requires regular training. Audit your brand voice, set guidance, and monitor responses to keep your AI accurate.

    Tone of voice — and a strong brand personality — have become essential components of exceptional customer service. 

    As many brands introduce AI to automate customer service interactions, the challenge of ensuring that AI is helpful looms. Part of that helpfulness means speaking to customers in a way that connects with them, not alienates them.

    That’s why implementing AI that uses your brand’s signature tone of voice has never been so important.

    This post will explore why tone of voice matters in customer service and provide insights on how AI can effectively replicate brand voice, with tips on implementing it successfully. 

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    Why tone of voice matters in customer service

    Through a customer service lens, tone of voice is the style, word choice, and general vibe of how your brand speaks when it communicates with customers. Tone of voice is one of the key components of brand identity, so the tone of voice a support team uses will always align with its greater brand.

    According to Statista, 64% of customers prefer making purchases from companies that create experiences tailored to their needs and wants. A consistent tone of voice does just that, building trust, creating better relationships between customers and brands, and making experiences more personal.

    On the flip side, brands that don’t prioritize tone of voice — especially when it comes to AI — will see robotic tones cause a loss of customer trust. 

    How AI effectively replicates brand voice

    51% of customers share concerns that brands that use AI won’t connect them to a human. But if you choose the right AI tools that leverage your brand’s information and use it effectively, you can train it to mimic your unique voice — sometimes to the point where customers don’t even know that it’s the AI talking.

    That’s true for the CX team at toddler carrier brand Wildride

    ”An influencer emailed us saying, 'I really love you guys,' and our AI Agent replied, 'Love you too,' with heart emojis, which was really funny. It was just like an email from me and my other team members,” says Amber van den Berg, their Head of Customer Experience. 

    Wildride trusts Gorgias’s AI Agent to manage a high volume of tickets while still providing each customer with a great experience.  

    📚 Further reading: How Wildride automated 33% of email tickets with AI Agent 

    AI Agent uses a few key components to mimic tone of voice, including LLMs (Large Language Models) to form human-like responses, guidance from you, and the internal resources you provide it. 

    “We’ve had customers respond to AI Agent thinking they were speaking to a real person. That’s how elevated the response was from AI,” says Emily McEnany, Senior CX Manager at Dr. Bronner’s

    Brand voice: Friendly

    4 tips for successfully infusing AI with your brand’s tone of voice

    You can absolutely train AI to match your brand's specific voice and style. Here are a couple of tips that will help you be successful: 

    • Audit your brand’s existing voice and tone
    • Set up guidance
    • Monitor responses and give feedback
    • Keep up with regular training

    1. Audit your brand’s existing voice and tone 

    If your brand has an established voice and tone, make sure that you either have internal documents that detail it or can describe it accurately in a couple of paragraphs. 

    You’ll use that information to help train the AI, so it’s essential that it’s up-to-date and accurate. 

    If you don’t have an established tone, now is a great time to generate your brand voice. Review customer conversations and the copy on your website. Chat with your marketing team and even your brand’s founder to get a clear picture of what it is or what you’d like it to be. 

    Here’s a quick-start guide for how to find your tone of voice: 

    1. Think about the brands you want to be similar to and pick two. 
    2. Now, take a look at those brands’ websites. Make a list of what you love — it could be the way these brands speak to customers, leverage active verbs, write their product descriptions, or how they talk on social media. 
    3. Now that you have your list, circle the things that feel most relative to your brand. 
    4. Can you put an overarching “vibe” to this list? For example, you might choose a word like friendly, sophisticated, or fun.  
    5. Then, fill in this sentence: “We are (Your Brand) and our tone of voice is (the vibe word you chose). 
    6. Now, see if you can expand on that a little more, with some thoughts about how you might interact with your target audience or write about your products.

    2. Set up guidance

    Most AI-powered tools will allow you to set up some sort of guidance around how they interact with customers. If you use Gorgias’s AI Agent, you’ll be able to set specific tone of voice parameters. Choose from three pre-built options — Friendly, Professional, Sophisticated — or Custom to give it your own instructions.

    For example, jewelry brand Baby Gold uses an upbeat, friendly, warm, and personable tone. They would likely choose the Friendly option, which is the go-to option for many teams. 

    “Sometimes agents forget personal details to call out when communicating with our customers, like birthdays or weddings,” says Sindi Melgar, their Customer Service Manager.  

    “But I noticed on a few different occasions where the AI Agent is highlighting these things and is saying, congratulations on your wedding! Just the tone of voice that Michelle is able to adopt is definitely on brand for us.”

    If you’re looking to provide your own specific guidelines, create custom guidance like Wildride did below: 

    Choose a custom tone of voice for Gorgias's AI Agent

    📚 Recommended reading: How to customize AI Agent with 7 brand voice examples

    3. Monitor responses and give feedback

    In general, you should always keep an eye on how your AI tool is answering questions to ensure that it’s providing accurate responses and that your customers aren’t getting frustrated. Combing through responses manually can be overwhelming, so that’s why Gorgias offers an AI Feedback feature. 

    In the ticket sidebar you’ll find a summary of the response AI Agent provided, including why it responded the way it did and the resource it pulled the response from. 

    Mark a response as correct or incorrect with AI Agent

    Then, give feedback by using the 👍 or 👎 icons to mark AI Agent’s response as correct or incorrect. AI Agent uses this feedback to improve responses over time.

    📚 Recommended reading: How to coach AI Agent and give feedback

    4. Keep up with regular training

    Any time you add new policies or update existing ones, make sure you add them to your helpdocs and Macros, which are the main resources the AI is going to draw from. 

    The more consistently you can go in and provide the AI direct feedback on each response, the more easily AI will nail your unique tone. 

    Create on-brand responses with AI 

    Your brand’s tone of voice makes a huge impact on the relationships you build with customers. Combining your unique brand voice with AI means you’ll provide more personalized responses and resolve customer issues faster. 

    “We were hesitant at first, but AI Agent has really picked up on our brand’s voice,” says Lynsay Schrader, Lab and Customer Service Senior Manager at Jonas Paul Eyewear. “We’ve had feedback from customers who didn’t even realize they were talking to an AI.” 

    Gorgias’s AI Agent is the go-to tool for AI-driven customer support that aligns with brand tone.

    Sign up →

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    Why Your Strategy Needs Customer Service Quality Assurance

    By Alexa Hertel
    min read.
    0 min read . By Alexa Hertel

    TL;DR:

    • Manual QA is time-consuming and inconsistent. Reviewing conversations manually makes it difficult to ensure uniform quality across agents and touchpoints.
    • Automating QA saves time and improves accuracy. Automation ensures all tickets are reviewed with the same quality, freeing up agent time to create stronger customer connections.
    • QA helps teams continuously improve. It enables better agent training and brings forth actionable feedback to exceed customer expectations.
    • Implement QA one step at a time. Begin by setting KPIs, introducing small changes, and investing in automation tools to streamline and measure success effectively.

    Forrester’s 2024 Customer Experience Index reports that 39% of brands’ customer experience (CX) quality has declined over the past year.

    It can be challenging to get a full understanding of how your team –– and AI, if you use it –– are truly performing.

    This is true even with metrics like CSAT

    “A 5-point scale only tells you and your agents so much, and relying on consumers providing feedback further limits what you’re able to look at and learn from,” says Kayla Oberlin, Senior Manager of Customer Experience at amika

    Quality Assurance (QA) is becoming a more crucial component of a customer experience strategy, especially one that prioritizes customer happiness. 

    We’ll cover the importance of customer service QA, best practices, tools, and tips to implement QA effectively.

    🗺️ This article at-a-glance

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    What is QA (Quality Assurance) in CX? 

    In the CX context, QA (Quality Assurance) refers to reviewing customer conversations to improve your support team’s performance and enhance customer satisfaction. QA ensures a consistent and satisfying customer journey across touchpoints, including your website, support channels, and social media.

    Common QA pain points for CX teams 

    Aside from accuracy issues, a manual quality assurance process is:

    • Time-consuming: Manual conversation reviews are slow and labor-intensive.
    • Limited visibility: It’s difficult to get a clear, scalable view of team and AI performance.
    • Inconsistent: Maintaining uniform quality across customer service teams can be tough.
    • Resource allocation: Difficulty in ensuring the right skills, training, and resources are in place.
    • CSAT limitations: Negative scores often reflect policies, not agent performance.

    The solution isn’t for CX teams to skip the QA process altogether but to automate it.

    According to research from McKinsey, “A largely automated QA process could achieve more than 90 percent accuracy — compared to 70 to 80 percent accuracy through manual scoring — and savings of more than 50 percent in QA costs.”

    With an automated QA process, brands can:

    • Save time: Automated quality checks help support agents to focus on the most critical tickets.
    • Ensure consistency: Both human agents and AI agents are evaluated with a unified, comprehensive QA score.
    • Boost performance: Agents receive targeted coaching to provide more consistent customer experiences.
    • Meet customer expectations: Customers benefit from higher-quality support with quicker resolutions and accurate responses.

    Why QA is critical for customer experience

    According to Statista, 94% of customers are more likely to purchase again after receiving top-notch support. Quality assurance ensures that every customer gets the same experience, and provides agents with the feedback to learn and stay on-brand with each resolution.

    At its core, QA: 

    Consumer attitudes and behaviors based on their customer service experience worldwide as of May 2022, Statista
    Consumer attitudes and behaviors based on their customer service experience worldwide as of May 2022, Statista

    Prevent errors 

    Addressing errors early is important, as even small mistakes can harm customer trust and create lasting negative impressions. QA tools can prevent mistakes because of better coaching and training. This can stop misinformation in its tracks –– and from escalating into bigger problems down the line. 

    Ensure consistency 

    QA makes sure that all customer touchpoints, like calls, emails, live chat, and even AI responses, are handled with the same level of care. This is especially helpful when training new team members, introducing new products or policies, or during high-traffic periods.

    Build trust 

    Consistent and reliable experiences build customer trust and loyalty. If you were to reach out to a brand and have an amazing experience the first time but a bad experience the next, you’d probably question which experience was the norm. 

    Top-notch experiences that happen time and time again tell your customers that you’ll always be there to help. This can boost repeat sales and even referrals:  According to Statista, 82% of customers recommend a brand after a great experience.

    Personalize experiences 

    Aside from increasing happiness and making customers feel heard and appreciated, personalized support also affects your bottom line. Statista notes that 80% of businesses found that providing personalized customer experiences led to increased spending for consumers.

    Aids in better coaching and training 

    With QA, teams are able to rate and review all tickets instead of spot-checking. This provides them with a:

    • Quicker turnaround on coaching opportunities
    • Wider volume of tickets they can review, learn from, and use for training
    • Better understanding of when a Macro or a process is leading to incomplete or unhelpful conversations
    • Bigger opportunity for constructive feedback and flow improvements that are based on real responses and not frustrations with brand policies

    Continuously improve

    Whether it’s lowering resolution times, introducing a knowledge base, or adding an AI agent to your team, making continuous improvements will help you stay ahead of the competition.

    Implementing a QA program (especially if you can automate it) is one of those additions that provides you with the refinements you need on a resolution-to-resolution level.

    Best practices for implementing QA in CX

    QA best practices include: 

    Establish a baseline for metrics and KPIs 

    As you set out to integrate a Quality Assurance process into your CX program, first establish benchmarks for various metrics and KPIs. These benchmarks help track and evaluate the performance of QA as you implement it. 

    If you don’t already track customer support metrics, CSAT, first response time (FRT), resolution time, and net promoter score (NPS) are great ones to start with. 

    💡Tip: If you use Gorgias, you’ll find your current support performance statistics in the Statistics menu. Make sure that you can see back at least six months. Then, compare an equal time frame for post-QA implementation.

    Monitor and evaluate regularly

    While it might sound a bit “meta” to monitor your quality assurance (which is already monitoring your support responses), it’s still worth noting. 

    Ensure that your QA process works smoothly, helps your metrics rather than hurts them, and provides actual helpful feedback to your agents. 

    Implement automation tools 

    The simplest way to maintain your support quality standards is to use an automated QA tool. Automating the QA process lets CX teams get deeper insights into agent strengths and areas for improvement, and captures deeper insights than a CSAT score could.

    Collect customer feedback 

    Understanding how customers feel will allow you to fine-tune your processes and ensure you’re delivering a consistent and high-quality experience. Here are a few ways to collect feedback:

    • Surveys and reviews - Post-interaction surveys or direct reviews provide real-time feedback on what customers think of their experience.
    • Social listening and real-time feedback - Monitoring online reviews, social media mentions, and customer comments offers insight into how your customers are feeling that might not be captured through formal surveys. 

    Challenges of adding QA

    Lack of resources, ineffective training, poor communication between team members, not having the right tools, and doing everything manually are some of the challenges you can encounter when adding a QA process.

    Here are a couple of solutions we recommend:

    • Start with phased rollouts. Rather than rolling out a QA process across your whole team, let more seasoned agents experiment with it first to give you feedback and make tweaks.
    • Make incremental improvements. Changing an entire CX process at once to include QA can be overwhelming. We recommend making small changes (like starting to send CSAT surveys if you don’t already) one at a time. These changes will allow you to better measure what’s really working. 
    • Invest in better technology. A manual QA process can be more time-consuming than helpful. Look for an automated QA tool that’s already integrated into your helpdesk. It will allow you to measure AI and agent responses equally, while also measuring results from a handy dashboard. 

    Ensure customer experience meets quality standards

    By prioritizing QA, your team can identify potential problems early, reduce errors, and improve overall performance, leading to a smoother, more reliable experience for customers –– and your CX team. 

    In the long run, brands that focus on QA can gain a competitive edge, building stronger relationships with customers and driving sustainable growth. Book a demo now.

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    Building Customer Loyalty Through Effective Post-Purchase Support and Automation in Ecommerce

    By Rebecca Lazar
    min read.
    0 min read . By Rebecca Lazar

    Let's talk about something that often gets overlooked in ecommerce: what happens after someone hits that "Place Order" button. You might think the hard part's over once you've made the sale, but here's the thing  the post-purchase experience can make or break your relationship with customers. 

    In today's competitive online marketplace, those relationships are everything — especially considering that loyal customers spend an average of 67% more per purchase than new customers.

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    The importance of post-purchase support and automation in ecommerce

    Providing an excellent post-purchase customer experience can turn one-time customers into loyal advocates who are more likely to make repeat purchases and recommend your brand to others.

    It's all about the customer experience

    When someone buys from your store, they're not just getting a product — they're starting a relationship with your brand. 

    A great post-purchase experience shows customers you actually care about their satisfaction beyond just making the sale. 90% of U.S. customers say that an immediate customer service response is "important" or "very important.”

    90% of US customers say that getting an immediate response is important

    When you nail this part, something magical happens: one-time shoppers transform into passionate advocates who not only come back for more but can't help telling others about their amazing experience with your brand.

    Having accessible support and an efficient and easy returns process may make the difference between a happy customer and an unsatisfied one.

    Building trust that lasts

    Trust is everything in online shopping. When customers feel supported after making a purchase, they're much more likely to give you the benefit of the doubt if something goes wrong down the line.

    It's like building a friendship: every positive interaction adds another layer of trust. And that trust translates directly into repeat business and glowing recommendations. 

    The post-purchase support experience makes a huge difference in building that trust. In fact, 96% of customers say excellent customer service builds trust.

    Keeping your return rates down

    Great post-purchase support can actually help reduce your return rates. By addressing concerns quickly and providing clear information upfront, you can prevent many returns before they happen.

    This can save you money on shipping and restocking and create a smoother experience that keeps customers happy and your business healthy.

    Making processes more efficient

    Automation eliminates manual tasks, freeing up your team to focus on more strategic initiatives. By automating repetitive tasks, you can improve efficiency and productivity, allowing your team to focus on more value-added activities. 

    You can automate everything from customer support to returns and exchanges to your order tracking and more. Besides meeting customers' straightforward needs, automation allows you to focus your team's energy on solving bigger problems and strengthening customer relationships.

    Accuracy, guaranteed

    Automation helps ensure consistency across all your post-purchase processes. 

    When customers know they can count on a reliable experience every time they shop with you, it builds confidence in your brand. 

    Plus, fewer mistakes mean happier customers and less time spent fixing problems.

    Creating better customer experiences

    Speed matters in today's world, and automation helps you deliver faster, more personalized responses to customer needs. 

    Whether it's instant order updates or quick responses to questions, automation helps you meet and exceed customer expectations. The result? More satisfied customers who feel valued and understood.

    How to automate the post-purchase experience for better loyalty

    Here are some ways to automate the post-purchase experience:

    Automate your returns and exchanges process

    Streamline the returns process with automated return labels, tracking, and updates. Use ReturnGO to automate this process, saving time and reducing manual errors. With automated returns, you can provide a hassle-free experience for customers, encouraging them to return to your store in the future.

    Automated returns can help to improve the customer experience by making the returns process easier and more convenient. 65% of customers say the speed and ease of refunds affect where they choose to shop. 

    By automating tasks such as generating return labels and tracking packages, you can reduce the time and effort required for customers to return items. 

    Think about it from their perspective — if returning an item is hassle-free, they'll feel more confident buying from you in the future. It's like having a safety net that makes customers more comfortable taking chances on new products.

    Centralize customer support

    In today's fast-paced world, customers expect quick and efficient support. Using a customer experience platform like Gorgias, you can manage all your customer support tickets in one place, making it easier to provide fast, accurate help when people need it.

    By centralizing your post-purchase support, you can manage support tickets more efficiently, respond to customer inquiries quickly, and provide the most up-to-date information. This centralized approach can hugely improve response times.

    Keep customers in the loop

    Nobody likes being left in the dark about their order. Automated post-purchase notifications keep your customers informed every step of the way - from order confirmation to delivery and returns. Using tools like ReturnGO, you can send personalized updates that make customers feel looked after. This is essential for building customer loyalty. 

    Keeping customers informed about their orders can help reduce customer anxiety. When customers know what to expect, they’re less likely to worry about their purchase and are more likely to keep buying from you again and again. 

    ReturnGO keeps customers updated

    Create an integrated workflow

    To truly streamline your post-purchase customer service, if you connect your returns management system with your customer support system, you really bring all of the pieces of a puzzle together.

    When these two systems are in sync, you can create a smooth workflow that makes things easier for both your team and your customers.

    By automating tasks like creating support tickets and processing returns, you can save time and create a more reliable, efficient system that helps you serve customers better. No more jumping back and forth between systems to check on a return when a customer reaches out about it.

    The ReturnGO-Gorgias integration makes this happen seamlessly, with features like:

    • Automatic ticket generation: When a customer requests a return, a support ticket is automatically created on Gorgias, saving you time and preventing errors.
    • Real-time updates: Return request information is automatically updated from ReturnGO to Gorgias, so your team always has the latest details right there.
    • Centralized system: No more digging through multiple systems. This means your support agents always have access to the most up-to-date information and respond quickly and efficiently to customers.
    • Smart widget: The ReturnGO-Gorgias integration includes a widget embedded in your Gorgias dashboard, for managing RMAs directly from within Gorgias. This widget enables your team to:
      • View RMA information: See all the relevant details about a return, including the customer's information, the items being returned, and the reason for the return.
      • Take actions on the RMA: Easily approve or reject a return request directly from Gorgias.
    ReturnGO x Gorgias widget

    The ReturnGO-Gorgias integration makes it easy for your team to manage returns and communicate with customers without having to jump between systems to hunt for information.

    The path to lasting customer loyalty

    So, there you have it! In the world of online shopping, how you handle the after-purchase experience can be just as important as making the sale in the first place.

    By automating your post-purchase process, you can create a seamless and satisfying customer experience. 

    Tools like ReturnGO and Gorgias can help you create the kind of experience that builds customer loyalty.

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    How to Customize AI Agent with 7 Brand Voice Examples

    By Christelle Agustin
    min read.
    0 min read . By Christelle Agustin

    TL;DR:

    • AI Agent adapts to your brand's unique tone of voice. Choose from three default voice options (Friendly, Professional, and Sophisticated), or create countless types of tone with the Custom option.
    • Aligning AI with your brand voice builds consistency. A consistent tone in customer interactions helps build trust and brand loyalty.
    • Specify what AI Agent can and can’t say. Like your human agents, tell AI Agent your brand do’s and don’ts. From going all out with fun and emoji-filled replies to avoiding certain words, use custom instructions to make AI Agent sound distinctly on-brand.

    People are only able to identify AI-generated content 46.9% of the time. That’s less than half the time!

    In the ecommerce customer service industry, this is just one reason teams are getting more comfortable with using AI.

    Better language processing abilities mean AI can be a better extension of CX teams, relieving agents of repetitive questions, like where is my order?, while speaking in a way that’s familiar and delightful to customers.

    Upholding a strong brand voice should be one of your top priorities in CX. With Gorgias’s AI Agent, you can choose AI Agent’s exact tone of voice, from sophisticated to fun. Below, check out seven AI Agent brand voice examples from real customer conversations.

    “We’ve had customers respond to the AI thinking they were speaking to a real person. That’s how elevated the response was from AI.”

    —Emily McEnany, Senior CX Manager at Dr. Bronner’s

    What is Tone of Voice?

    Tone of Voice refers to how AI Agent communicates with your customers. In Gorgias, you can select from three pre-built tone options: 

    • Friendly
    • Professional
    • Sophisticated

    Or, you can create a custom tone, keeping your brand guidelines, style guide, and target audience in mind.

    Note: AI Agent and Tone of Voice are only available to Gorgias Automate subscribers.

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    7 Tone of Voice Examples for AI Agent to Match Your Brand's Style

    Explore how effectively AI Agent adapts to seven distinct tones in the examples below. First, we’ll show you what a preset AI Agent tone option sounds like, then we’ll move on to six examples using custom instructions.

    Feel free to copy and paste our provided instructions to set up your AI Agent with the custom tone of your choice, or, even better, take some inspiration to create your own. 

    1. Friendly

    A friendly AI Agent is the go-to for most CX teams. A Friendly tone of voice is outgoing and welcomes inquiries with enthusiasm. If you were to imagine the model support agent, they would speak like this.

    The Friendly tone of voice is available by default in AI Agent’s settings.

    How it looks in action

    Here’s how an AI Agent with a Friendly tone of voice responds to a customer asking for samples and coupons:

    Default Friendly AI Agent voice
    AI Agent lets a loyal customer know about the brand’s 10% discount.

    2. Direct and brief

    Now, we move away from AI Agent’s default Tone of Voice options and toward the vast possibilities of the Custom option.

    If you prefer your AI Agent get to the point in as few words as possible, create a Custom tone of voice that breaks up text into separate lines, limits paragraphs to two to three sentences, and keeps responses short. 

    💡 Tip: Access a custom tone of voice by going to Automate > AI Agent > Settings > Tone of Voice > Custom. A text field will appear where you can write your instructions.

    AI Agent Custom Tone of Voice

    Tone of voice instructions:

    Acknowledge the customer's feelings by briefly repeating their initial concern(s). Break text up, don’t send entire paragraphs, and keep responses short and easy to read. Keep interactions brief but filled with empathy. We are not long-winded. Keep an informative tone while remaining professional, clear, and easy for customers to follow. Insert links where needed. Don't use too many adjectives when expressing empathy. Never tell the customer to email support or contact our customer service team.

    How it looks in action

    Here’s how an AI Agent with a direct and brief tone of voice responds to a customer who wants to cancel their order:

    Custom direct and brief AI Agent voice
    AI Agent directs a customer to their brand’s return portal without being too wordy.

    3. Fun (with lots of emojis! 🤗)

    Who says support agents can’t have personality? Bring some fun into your conversations by creating a custom tone of voice that allows your AI Agent to use emojis and exclamation points.

    Tone of voice instructions:

    Greet with first name only. Acknowledge the customer's feelings by repeating their initial concern(s). Be concise and provide shorter responses, try to keep your responses to a few sentences. Use a warm, positive, and engaging—like chatting with a helpful, considerate friend. Sign off with "Best Regards". Avoid jokes or comments related to sensitive topics. Make the customer feel like a friend. You can include approved emojis for a personal touch and exclamation points. Approved emojis to use: 💞🫶✨🥰💖🎀💓💘🥳💗💕💯 You should recognize and celebrate personal milestones mentioned by customers, making the interaction feel more personal. After the customer's initial message, there's no need to restate their issue in follow-up responses.

    How it looks in action

    Here’s how an AI Agent with a fun tone of voice responds to a customer asking about exchanging their damaged product:

    Custom fun emoji AI Agent voice
    AI Agent replies to a customer in a bubbly manner, even using heart emojis.

    4. Comforting

    Customer support often gets a bad rep. Customers anticipate long response times and unpleasant interactions. Flip customer expectations by giving your AI Agent a calming and comforting voice that can instantly fix negative experiences.

    💡 Tip: Brands in the wellness and baby industry would do well to use a comforting tone of voice for their AI Agent.

    Tone of voice instructions:

    Our brand embodies the role of a nurturing parent, promoting happiness, growth, and well-being while creating moments of joy and inspiration. Stay genuine and reflect childlike wonder without being overly sentimental. We maintain a positive and supportive tone, offering a safe, comforting space. Avoid admitting fault or apologizing. Be shorter in replies. Do not offer replacements. Do not give out phone numbers.

    How it looks in action

    Here’s how an AI Agent with a comforting tone of voice responds to a customer asking about exchanging their damaged product:

    Custom positive and comforting AI Agent voice
    AI Agent is empathetic and understanding to a customer who is asking about stock availability.

    5. Bro-y

    Give your AI Agent a laid-back, “we’ve got your back” vibe that feels like chatting with a buddy. This tone keeps things casual, approachable, and like you’re ready to tackle any issue together.

    Tone of voice instructions:

    Sound like a gym bro. Speak casually and friendly. Be eager to help. However, do not go overboard with puns or stereotypical phrases. You may use the following emojis: 🤙💪🏋️ End responses with "Stay awesome,"

    How it looks in action

    Here’s how an AI Agent with a bro-y tone of voice responds to a customer asking about glove sizing:

    AI Agent responds to a glove sizing question
    AI Agent embodies your average bro and answers a customer’s question about glove size.

    6. Punny

    If your brand isn’t afraid to lean into humor and puns, this tone will definitely connect with your audience. Let your AI Agent use wit and clever wordplay to keep conversations lighthearted and customers smiling at their screens.

    Tone of voice instructions:

    Speak in bee and honey puns and use colorful emojis. Use at least one emoji per message. Keep your messages brief. Sign off with a different pun in every conversation. If a customer is upset or needs urgent help, avoid puns. 

    How it looks in action

    Here’s how an AI Agent with a punny tone of voice responds to a customer asking about suit sizes:

    AI Agent uses bee puns to answer a customer
    AI Agent uses bee and honey puns to reply to a customer asking about size availability. 

    7. Bonus: Robotic

    In all of our examples, AI Agent responses can easily be mistaken for one of your human agents. But if, for any reason, you want to change that by making your AI Agent sound robotic — it’s possible.

    Tone of voice instructions:

    Sound like a robot. Make robot sounds and puns. Use short, direct, and easy-to-read sentences.

    How it looks in action

    Here’s how an AI Agent with a robotic tone of voice responds to a customer asking about exchanging their damaged product:

    Custom robot AI Agent voice
    AI Agent speaks like a robot to a customer.

    Say it how you want with AI Agent

    Like a chameleon, AI Agent adapts to your brand voice. Whether it’s friendly, professional, or a custom tone, you can be sure that every interaction aligns with your brand’s identity. 

    With AI Agent on your side, you have the power to make each conversation feel authentic. Take it from Psycho Bunny’s Senior Customer Experience Manager Tosha Moyer who says, “The overall tone is good, and its responses are really excellent.” 

    Ready to see AI Agent’s excellence for yourself? Book a demo and discover how AI Agent can be a permanent part of your team.

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    Nik Sharma on Marketing's Biggest Secret

    Marketing's Biggest Secret, Finally Revealed by Nik Sharma

    By Lucas Walker
    1 min read.
    0 min read . By Lucas Walker

    This episode’s featured guest is Nik Sharma, the CEO at Sharma Brands. He works with founders and executives of a wide variety of brands to launch their digital platform, develop an acquisition and retention strategy, expand their channels, and optimize their revenue. He has worked with big brands such as Bill Blass, Roc Nation, and Haus, and he is on the podcast today to discuss the importance of customer service.


    Customer service is a brand’s frontline of defense. They are the first to know when something is wrong, broken, or if anything can be done better. By identifying the needs, concerns, and issues of the customer faster than anyone else, they can also fix or address problems before it gets any bigger and becomes damaging to the company. For example, when Nik was working with Judy, an emergency kit brand, there was an issue with their discount code. It simply was not working but no one knew until an online shopper got in contact with customer service. Immediately, the code was fixed and although Judy must have lost several potential customers during the mistake, they could have lost far more if customer service were not there to receive and respond to the matter.


    It is important to keep the customer happy. If it is their first time ordering from a brand and they have a less than stellar experience, they are most likely not going to order again. They will not give any of the company’s second products a try, such as the more expensive purchases or subscriptions. That is why customer service is there to pacify the consumer and their issues, acting as a prevention method to any bad experiences. By offering even simple solutions from a technical standpoint, such as dealing with refunds or providing a shipping label, the customer is excited that the brand provided them with a solution.


    Through this excitement and acknowledgement, an intimate relationship is created between the brand and customer. The customer feels valued as the brand understands and emphasizes with them. They recognize that they will be taken care of and as more customers begin to feel the same way, a community is built. Every company talks about wanting to build a community and all the strategies that it will take to do so, but the easiest and fastest way to accomplish that is by just having an efficient customer support team. Even a simple third-party logistics team can give a significant boost to a brand by providing front-line workers for customers.


    It is not an exaggeration to say that customer service is the most vital piece of a brand. Nik has seen firsthand what good customer service can do and how much feedback, both positive and negative, it can receive. By offering world-class customer experiences, it can boost businesses to new heights and maximize profits. To speak to Nik and to get a further insight into the importance of customer service, he can reached via text at 917-905-2340.

    Building delightful customer interactions starts in your inbox

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