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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.

    {{lead-magnet-1}}

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

    Further reading

    Talent Sourcing

    Why Talent Sourcing is Key for Gorgias Recruiting (And How We Build Our Talent Pool)

    By Sarra Manai
    7 min read.
    0 min read . By Sarra Manai

    As a Talent Acquisition Specialist, I firmly believe talent sourcing is a crucial component of recruitment. It involves proactively reaching out to good-fit candidates to broaden your talent pool and make key connections well in advance, rather than just waiting for the perfect person to find and apply to job postings once they go live.

    Talent sourcing helps us at Gorgias cut through application noise and get the highest quality candidates possible. Our outreach emails for Engineering positions, one of the most challenging roles to fill, see 26%-46% response rates. And in this deeply competitive labor market, getting in contact with those gem candidates is especially important. 

    In this article, we’ll discuss the merits of talent sourcing as a hiring strategy, as well as the tools and tactics we use for talent sourcing at Gorgias.

    The state of the hiring market in Q1 2022 (post-pandemic)

    The state of the hiring market in 2022 is worrisome, to say the least. It seems like every single company has at least 10 open roles, and they’re all competing over the same pool of top-notch candidates.

    Let’s take a step back and look at the last couple of years. Compared to Q1 2020, iCIMS reports job openings in Q1 2021 are up by 86%, hires are up by 45%, and job applications are down by 11%.

    iCIMS's report shows changes in rates for job openings, hiring activity, and applications for 2020-2021.
    Source: iCIMS

    Meanwhile, 78% of companies report being unable to find enough talented candidates in the market to fill their open roles. Why? As we mentioned above, the labor market has tightened. This means that naturally, there are more jobs open than people to fill them, which consequently makes hiring even harder.

    2022 continues these trends. There are now a record 5 million more job openings than unemployed people in the US, according to this article published by CNBC (which contains many top takeaways from the Bureau of Labor Statistic’s Job Openings and Labor Turnover Survey.)

    Also, like always, certain roles are particularly difficult to fill right now. Full-stack engineers are most in-demand right now, meaning they’re especially difficult to find and hire. Fortunately, a shift toward hiring remote talent in smaller regions is taking place. Software engineers who are open to remote work receive 20% more interview requests.

    Part of appealing to this pool of in-demand talent is understanding software engineers’ top priorities. Here’s below the full list of the biggest motivators for software engineers, according to the 2022 State of Software Engineers Report

    Hired's report shows the biggest motivators for software engineers, which is helpful when doing talent sourcing outreach.
    Source: Hired

    These motivators are valuable insights because they can help you market your open roles (and, to get back to the topic, talent sourcing outreach) more sharply. 

    What exactly is talent sourcing?

    There are differing opinions about the exact definition of talent sourcing. But the basic definition of talent sourcing is engaging candidates who are not active applicants. We call the targets of talent sourcing “passive talent,” which excludes candidates who apply traditionally, through a job posting.

    For us, the goal of talent sourcing is to build a pipeline of talent that operates throughout the year as a proactive approach to the company’s hiring needs. Sourcing allows us to connect with potential fits long before a need develops.  Considering that hiring a new employee can take anywhere from a week to several months, getting a head start on promising candidates is a great long-term strategy.

    Why do we believe talent sourcing is an essential best practice?

    In Q1 2022, it took our team an average of 53 days to extend an offer. In Q2, we were able to send out offers in 39 days thanks in part to talent sourcing. Therefore, we managed to speed up the process of extending an offer by 26% thanks to talent sourcing.

    We looked at some statistics outside of Gorgias and here’s what we found: 70% of the world's workforce are passive candidates, and 86% of the most qualified candidates for your open positions are already employed, hence not actively looking for a job. That said, LinkedIn has found that 90% of the professionals active on their platform would like to hear about career opportunities.

    Talent sourcing helps bridge the gap between the companies hiring and passive candidates (which, again, make up 70% of the workforce). We can build relationships with promising talent well before we’re urgently looking to make a hire. 

    Gem found that talent sourcing is the second most important recruiting trend (after diversity recruiting), according to their 2022 Recruiting Trends: Data-Driven Recruiting

    Gem's report shows that diversity hiring and talent sourcing are the two most important trends in the recruiting industry in 2022.
    Source: Gem

    The impact of talent sourcing on key hiring metrics

    Why exactly is talent sourcing such a prominent trend? Because it’s a strategic approach to improve many of the most important metrics a recruiting team pays attention to.

    Time to hire

    Talent sourcing can improve your time to hire because you can start refining a pool of candidates well before you have a live job ad. For us, one of the best tactics was to use outreach to identify a pool of talent that uses our tech stack. That way, when you post an engineering, product management, or non-tech role, you don’t have to source from scratch and filter out candidates because of basic misalignments.


    Once a job posting goes live, our team has a huge headstart (and can therefore crush previous time-to-hire metrics). Instead of going to LinkedIn and starting a search from scratch, I would go to our refined pool of (currently, but forever growing) 111K candidates that match our company’s needs, tech stack, or overall preferences and start my search there.

    Candidate quality

    Talent sourcing helps us create a pool of pre-vetted candidates, so we’re never in a situation of having to accept a mediocre candidate because of a time crunch and lack of inbound interest.

    Also, when a high-potential candidate doesn’t end up receiving (or accepting) an offer, they go back into our talent pool so we can potentially find another opportunity to work with that high-quality candidate.

    Diverse hiring

    We use Gem for robust top-of-funnel diversity reporting. The tool lets us deep dive into our natural sourcing tendencies and analyze passthrough rates across demographics like gender. This helps us point out some of the unconscious biases we each might have, so we can keep diversity and inclusivity in mind, implement action items, and source a diverse and strong team.

    Our approach to building a Talent Pool

    Explore our ATS for candidates we want to re-engage

    As you likely know, a candidate’s potential (and journey with your company) doesn’t necessarily come to an end after a rejection. To make the most of high-quality candidates who have already gone through our screening once, we check out junior candidates we talked to 2+ years ago and marked as under-qualified. We do the same with candidates who have kept warm after rejection and candidates who withdrew from the process because they took another offer.

    These candidates have already expressed an interest in our company and therefore get consideration to introduce into our ongoing talent pool.

    Optimize our recruiting tech stack for searchability

    One of our most helpful tools is HireSweet. The tool enables us to explore all of the 4,000 candidates who live in our ATS much easier than just searching the database. One of the best features is that HireSweet allows us to find candidates that may have switched careers completely but live in our ATS under an old position.

    But the question still stands: how do we expand our talent pool to 111K people?

    Source, scrape, and upload a massive number of leads

    We don’t reach out to leads by hand: we contact them in bulk by sourcing and scraping. Before we explain our process, the important thing to keep in mind is that your search and bulk leads import should always resonate with the company’s hiring strategy. Simply put, we don’t do volume sourcing for the sake of doing high volume.

    Bulk imports can help you in a few ways:

    1. While searching for candidates, you want to keep profiles that are not an exact fit so you can find them when a better-fit role comes along
    2. You want to reach out to a higher volume of leads
    3. You want to anticipate and pre-source for the future

    Here’s an example of how we might pre-source our industry to collect a high volume of good-fit names:

    • Find a list of start-ups (related to your industry if you want to be more precise)
    • Break it down per country
    • Find the companies’ LinkedIn pages (with automation, if possible)
    • Scrape the “people” section of said pages
    • Clean the data, and import it into your 3rd party tool to enrich it
    • All employees that mentioned working for the companies you’re targeting are now in your talent pool

    We use the following four tools to execute the process described above:

    Logos of four tools: PhantomBuster, breedR, Instant Data Scraper, and Hiresweet
    Source: Gorgias

    LinkedIn will limit the number of profiles you can scrape each day. If that’s the case, you can set up bot automation to run multiple times a day. With fewer profiles scrapped more frequently, you can stay under the radar.

    Additional ways to improve your talent sourcing and recruitment marketing

    Did you know that 66% of people who changed jobs were aware of the company they joined before they applied? That’s why we encourage you to do everything you can (with the resources and buy-in you have) to take a proactive approach to your talent strategy. Some more tactics include:

    Create clear, engaging outbound messaging 

    A well-written message tailored to each candidate (or at least each role) is a terrific approach to draw top talent in, keep them interested, and persuade them to discover more about the company.

    At Gorgias, we do our best to include the relevant information without plopping an entire job ad in the first message. We typically try and highlight a couple of unique features (including compensation, which we share with our SaaS calculator).

    Encourage your non-recruiting team to source talent

    Talent sourcing doesn’t just need to be a recruiter activity. We encourage employee ambassadorship, wherein the entire company is invited to source talent for live and upcoming roles. (They aren’t scraping LinkedIn, but can refer candidates our way and spread the word.)

    When employees establish a direct relationship with candidates, they can provide a meaningful testimonial and sneak peek into the company’s culture.

    Engaging passive candidates involves more effort than engaging active candidates because you have to persuade someone to be interested. But the effort is worthwhile: at the very least, you spread the word about the company.

    Speaking of engaging your team, check out our article of five tips to engage a hybrid or distributed team. 

    Let us know your take on talent sourcing

    At Gorgias, we managed to reach a 26%-46% response rate for our outreach emails for Engineering positions.

    Even though recruiting and sourcing tactics constantly evolve, the mindset is still the same:

    • Grab candidates’ attention
    • Engage with them in a clear, helpful way
    • Build relationships that make great placements easier in the longterm

    Top talent is in high demand, and competition for their attention is severe. That’s why we need to establish a presence wherever potential candidates are — starting with their Inbox.

    We’re hungry for lifelong learning and growth, so we want to hear from all the recruiters and sourcers out there. What’s your take on talent sourcing? How are you approaching it in your company? What can we learn from your practice?

    Send me an email and let us know!

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    Playbook Berkey Filters

    Playbook: How Berkey Filters Drove Customer Adoption of a New SMS Support Channel

    By Morgan Smith
    10 min read.
    0 min read . By Morgan Smith

    When your company decides to launch a new support channel — usually for efficiency and customer convenience — setting it up is only half the battle. The other half is driving customers toward the new channel (and away from your old ones). Without a concerted effort for customer adoption, you risk paying for a support channel that nobody uses.

    Berkey Filters, a world leader in water purification and seller of water filter systems, wanted to add SMS as a support channel for their shoppers. SMS is more convenient for on-the-go shoppers and allows agents to provide service to multiple shoppers more efficiently than other channels.

    Berkey Filters launched SMS with Klaviyo, and wanted wanted to add the Klaviyo SMS integration to Gorgias to unify customer conversations in one platform.

    The launch was one of the most successful we’ve seen to date, both in terms of ticket efficiency and customer adoption. Within a month of launching SMS, Berkey Filters: 

    • Achieved a 2-minute average first-response time for SMS
    • Achieved a 20-minute average handle time for SMS
    • Converted 2% of tickets to SMS from more time-consuming channels
    • Decreased time-consuming phone tickets by 23%
    • Decreased time-consuming email tickets by 21%

    We sat down with Jessica, the Gorgias account owner and Customer Experience Analyst for Berkey Filters, to ask how Berkey Filters achieved such suburb support stats so quickly. Jessica was generously willing to share her strategies to drive customer adoption of the new support channel. 

    In this Playbook, learn about the six tactics Berkey Filters used to launch SMS, increase the number of customers using this channel, and decrease ticket volume on older channels. 

    Why add SMS to your helpdesk in the first place?  

    SMS is one of the fastest-growing support channels today. It’s one of five channels consumers expect from brands, alongside email, website, voice, and chat. 

    Consumers love SMS because it’s fast, convenient, and always with them (even on the go). They don’t need to block off time in their day to sit by their laptop or on the phone to deal with a support situation. They can carry about their day and effortlessly reply to texts whenever they have a moment – something most people already do. 

    Support managers love direct messaging channels because conversations are typically shorter and resolved faster. And as long as SMS tickets are managed in the same places as other channels, it’s easy for agents to manage. 

    A cartoon hand holding a phone, with the words "SMS FASTER, ON-THE-GO SUPPORT"

    Jessica was specifically interested in using the SMS channel in Gorgias for Berkey Filters to achieve the following goals:

    1. Decrease the number of phone calls they received (because agents can only talk to one person at a time) 
    2. Decrease the number of times a customer reaches out across multiple channels for the same issue (because faster response times on SMS would make it less likely for duplicate tickets to come in) 
    3. Let customers using mobile — which accounts for half of their website visits — contact customer service on the device they’re already using
    4. Easily send photos back and forth with customers (especially because they frequently get questions about how to fix or store their products) 
    5. Offer a channel that doesn’t require a stable WiFi connection (because they have customers all over the country, including in rural areas that don’t always have reliable service) 

    Jessica’s team also views SMS as a modern support channel. More and more brands want to offer a customer service experience that’s seamlessly integrated into the shopper’s day, and Berkey wanted to be an early adopter. 

    While some of these benefits are pretty applicable to any store, make sure you’re clear on your “why” before adding a new support channels. This will help you know how to prioritize it compared to other channels and justify the work that goes into adding a new method of communication with your customers. 

    How to add Gorgias SMS to your helpdesk

    For the purposes of this playbook, we’ll assume you’ve already created your Gorgias helpdesk. If you haven’t, get started with a free trial or schedule a call with our team for a personalized demo. 

    Gorgias SMS allows you to send and receive 1:1 SMS and MMS messages with your customers. To add it, go to Settings > Integrations > SMS

    You’ll need a Gorgias phone number to get started. If you have one already (likely because you use Gorgias voice support), you can add the SMS integration without changing numbers. If you do not have a number yet, it’ll prompt you to create one first. 

    If you already have a phone number but it isn’t owned by Gorgias, you’ll need to port it. Learn how in this help doc. 

    If you’ve just added SMS (or any new channel), there are a few administrative tasks we recommend before following the steps outlined this playbook: 

    • Create a dedicated view for SMS tickets
    • Set up routing Rules for SMS tickets
    • Create SMS-specific Macros (SMS messages should probably be shorter than some of your other channels, for example) 
    • Review existing Rules to add or exclude SMS as a channel trigger

    Now, we’ll share exactly how Jessica promoted SMS for Berkey Filters customers. 

    {{lead-magnet-1}}

    6 steps to drive customer adoption of your new SMS channel (inspired by Berkey Filters)

    Jessica knew they would eventually add their SMS number directly on the Berkey Filters website, but she also knew she’d have to wait for her developer to do so. In the meantime, she started with the tools available to her in Gorgias. 

    Here are six tactics Jessica used to drive adoption of the newly launched support channel: 

    1. Launch a Gorgias Chat Campaign on the Berkey Filters “Contact us” page
    2. Customize the auto-reply that was sent to new email tickets
    3. Add the SMS number directly on the “Contact us” page
    4. Promote SMS in the top banner of the website
    5. Leverage their 2 min. first response time (FRT) for SMS in messaging
    6. Maintain that FRT with an SLA view in Gorgias

    Let’s break each of these down. 

    1) Launch a Gorgias Chat Campaign on the Berkey Filters “Contact us” page

    Even though Jessica would need to wait for her developer to update the actual page content, she knew she could launch a Gorgias Chat Campaign on the “Contact us” page to announce they now offer support via SMS. (If you don’t know, a Chat Campaign is a live chat session that automatically and proactively triggers for targeted website visitors, often to announce special promotions.) 

    Here’s what their campaign looked like: 

    Berkey Filters' chat box lets website visitors know about the new SMS support channel with a proactive chat campaign message.
    Source: Berkey Filters

    Jessica’s campaign automatically opens a live chat box announcing the launch of SMS for anyone who stays on the Berkey Filters contact page for longer than 30 seconds. That time frame is a good way to target anyone who’s clearly trying to identify the best contact method, and not someone who accidentally clicked onto the page (and would likely bounce before 30 seconds). 

    To create a Chat Campaign in Gorgias, go to Settings > Integrations > Chat and select the chat widget you want to use. Click the “Create Campaign” button in the top right. 

    From here, you can enter the URL(s) the campaign should appear on, set a required time spent on the page, and customize the message that displays. 

    Read this help doc to learn more about chat campaigns. 

    2) Customize the auto-reply on new email tickets

    One of the best ways to tell customers about a new support channel is to promote it on one of your existing channels — especially to customers who are already accustomed to those existing channels and may never visit the contact page again. 

    For the segment of customers who already use email to contact support, Jessica leveraged the initial auto-reply that Berkey Filters sends when a customer emails them to announce the new, faster channel. 

    In addition to the standard, “Thanks for contacting us! An agent will reply back shortly,” Jessica added, “We are currently experiencing high contact volumes and will be responding as quickly as possible. Our chat and text response times are typically faster. We are now accepting text messages at 1-800-350-4170.” 

    Berkey Filters' email auto-response lets emailers know about the new SMS support channel.
    Source: Berkey Filters

    By customizing the auto-reply to promote the new channel, Jessica met Berkey Filters’ customers where they were to make sure they knew about the latest and greatest way to get support. 

    3) Add the SMS number directly on the “Contact us” page

    At this point, Jessica got developer support to add the support phone number to the website. The contact page is a natural location to add any new support channels, because you know new customers will go there looking for contact information. 

    Here’s what the Berkey Filters “Contact us” page looks like: 

    Berkey Filters' support page visibly advertises their two fastest support channels: SMS and Live Chat.
    Source: Berkey Filters

    When building this page, Jessica made many intentional decisions to funnel visitors toward the new channel. Specifically, she:

    • Featured SMS next to another efficient (and therefore preferred) channel
    • Put the phone number in the headline so it’s easy to see
    • Added “Text Us” and a chat bubble visuals to clarify the number is for texting, not calls
    • Pointed out that texting is great for “Conversation On The Go,” reminding people to use the channel if they plan to step away from the computer
    • Set expectations by listing each channel’s average response time (ART) 

    The lesson? When releasing a new support channel, don’t be afraid to give extra context around it to help your shoppers understand when they should use one over the other. 

    4. Promote SMS in the top banner across the website

    The banner at the top of the website is a high-visibility location that’s especially great for getting in front of returning customers (since they may not need to visit your contact page anymore). 

    Brands usually use the top banner for promotions or sales, but Berkey Filters uses it for a mix of sales and support to cater to the entire customer experience. If you refresh their website a few times, you’ll see it rotate through three messages: 

    1. Free shipping on orders over a certain amount
    2. Chat now for an immediate response
    3. Text us for support on the go
    Berkey Filters' website banner advertises their new SMS support channel.
    Source: Berkey Filters

    5. Promote first response time (FRT) for SMS in messaging

    You might’ve picked up on this already, but Jessica was doing something really strategic with her messaging about SMS: She was promoting their first response time of 2 minutes.  

    That’s fast! And therefore, a pretty compelling reason for shoppers to use it over other, slower channels like email or voice. 

    Now, obviously this only works if your team is achieving a fast response time like that and willing to maintain it. (More on that in the next point.) 

    What’s important is that Gorgias gives you insights into your support team’s performance. While that’s useful for internal planning (staffing, budgeting, etc.), we also highly recommend leveraging these data points with your own customers to show the value of the support you provide. 

    Support stats that are great to leverage when promoting support via SMS: 

    • Global first response time
    • SMS first response time
    • Global resolution time
    • SMS resolution time
    • Global CSAT score
    • Total or percentage of tickets your brand has answered via SMS (if you’re still trying to increase adoption post-launch)

    We don’t currently include SMS CSAT score in Gorgias reporting. If you’d like to measure and promote your SMS CSAT score, share that product feedback here!

    6. Maintain that FRT with an SLA view in Gorgias

    To help her team keep those impressive first response and resolution times, Jessica knew she needed to improve (and not just measure) those times. She set up a service-level agreement (SLA) view in Gorgias that shows SMS tickets that are open and were created more than one minute ago. 

    Here’s what that looks like: 

    Jessica from Berkey Filters set up a custom view in Gorgias to monitor the SMS support channel's first response time.
    Source: Gorgias

    This view sits at the top of their sidebar along with a few other SLA-based channel views, so agents can quickly prioritize what tickets they should solve next. 

    In addition to the view, Jessica created an Auto-Reply Rule that sends the first message to an SMS ticket. 

    This message thanks the customer for texting support, and states the business hours for Berkey Filters. We love how this helps set expectations right from the start, especially for customers who might text in outside of these hours. (So they don’t text again waiting for a reply!) 

    Here’s what that Rule looks like: 

    Gorgias Rules let Berkey Filters send an auto-response to all incoming texts that go unanswered for a minute to reduce FRT.
    Source: Gorgias

    Last but not least, it’s worth mentioning that Jessica was also incredibly intentional about rolling all of this out to the Berkey Filters agents. Specifically, she involved them in the decision to launch the new channel, trained them on the new system, and made sure they were prepared before launch. 

    None of this would be possible if agents were unsure how to handle incoming SMS tickets or use the SLA view.

    {{lead-magnet-2}}

    Berkey Filters’ results from adding support via SMS

    We’ve already teased some of the impact that Berkey Filters has seen since adding SMS support, but how does it all add up? 

    In their first 30 days using Gorgias SMS, Berkey Filters: 

    • Closed over 250 SMS tickets
    • Sent almost 1400 messages via SMS
    • Achieved a 2-minute first response time
    • Achieved 20-minute resolution time
    • Converted 2% of all tickets to SMS
    • Decreased phone calls by 23%
    • Decreased emails by 21%

    That’s remarkable! And while those stats certainly speak to the high quality of their support team, they first needed to make customers aware and excited about the new channel.  If you decide to launch a new support channel, we recommend following Berkey’s lead and creating an intentional adoption campaign to accompany the launch. 

    Get your customers excited about texting your brand

    Prioritizing SMS shifts customer service conversations to a “live” channel where agents can help multiple customers at once, giving everyone a better experience. 

    And even if you’re strained for resources (like waiting for your developer to be able to update your store’s site) you can follow Berkey Filters’ lead and use other features and channels in Gorgias to start promoting your new channel.

    Gorgias also integrates with SMS marketing platforms like Klaviyo to make texting a seamless part of your customer journey (and easy for agents to manage).

    Specifically, if customers reply to an SMS sent with Klaviyo, Gorgias will create a ticket so your agents can respond right away. Plus, Klaviyo and Gorgias share customer data in real time, so you have as much information about your customers as possible in both tools:

    “Having the Gorgias + Klaviyo integration has helped provide a service to our customers that we did not have before. Our customer service department is now able to provide a near-instant response via text message without having to exit Gorgias. This feature has made the entire process of getting to these tickets so effortless and much more efficient.”

    — Jessica Robles, Customer Experience Analyst at Berkey Filters

    To get started with Gorgias SMS, log into your helpdesk or click here to sign up for free.

    June 2022: Product Roundup

    What’s New with Gorgias: June 2022 Product Updates

    By Morgan Smith
    4 min read.
    0 min read . By Morgan Smith

    Every month, our product team holds a casual, conversational event with our customers to demo new features, receive real-time feedback, and host live Q&As. 

    Watch the video below or read on for a recap of our latest product updates. 

    1. Admins can require Two-Factor Authentication for all users (3:18) 

    While Gorgias does a lot to keep your data secure, one of the best ways to add an extra layer of security is to encourage agents to use secure passwords and two-factor authentication (2FA). 

    And with our latest update, you can do more than just encourage. Admins can now require agents to set up two-factor authentication

    image
    Gorgias

    1. Admins can require Two-Factor Authentication for all users (3:18) 

    Once an admin toggles the option, all users in your account will have 14 days to set up 2FA. After 14 days, users will need to set it up to access your helpdesk. 

    2. Add a contact form in Gorgias Chat for a better CX outside business hours (11:38) 

    It can be hard to follow up with chat tickets that were left during off-business hours. Sometimes customers don’t include enough details in their message, making it harder to follow up on the next day. 

    Using a contact form in Gorgias Chat, you can capture a customer's email and message in a short conversational way. The contact form is designed to collect more information without disrupting the conversational experience, so you can easily follow up and help via email when you log back into Gorgias. 

    Add a contact form in Gorgias Chat for a better CX outside business hours
    Gorgias

    The contact form prompts your web visitors to select a subject (to help you triage tickets faster), and then provide more details about their issue so your agents know what they’re trying to solve. Last, it collects the shopper’s email address so you know who to follow-up with and where to reach them. All of this information will be collected in a single ticket in your helpdesk. 

    Read this help center article to learn how to enable the contact form in your Gorgias chat. 

    3. Create sub-categories in Help Center (19:55) 

    Create multiple levels of categories to help your shoppers navigate to improve help center organization and find help content for related issues more easily. 

    Gorgias Help Centers now allow sub-categories.
    Gorgias

    These new categories also give your team more options when creating a Help Center, so you can organize FAQs in whatever way makes sense for your brand. 

    4. New Managed Rules (For Automation Add-on Subscribers) (21:30) 

    Rules are a powerful feature that let Gorgias users automatically organize, tag, and reply to tickets. Thousands of Gorgias customers have adopted rules in their customer support workflow to save time and allow themselves to provide faster and higher quality service. Focusing on the common inquiries like WISMO, we’ve built Managed Rules to optimize time for Automate subscribers. 

    4. New Managed Rules (For Automation Add-on Subscribers)
    Gorgias

    Managed Rules are pre-built automations developed by the Gorgias team and include some of the most common and helpful automations. They need no code, no setup. Install them from the Rule Library and you’re good to go! If we improve the Rule, it will automatically update in your helpdesk, no action from you required.

    Customer Q&A (24:44) 

    Tune into the above timestamp if you want the full 25 minutes of customer questions and answers from our product team. Here were a few of the highlights!

    With only two weeks left in Q2, which of the planned releases on the public roadmap will actually launch? (25:44)

    Some features listed in Q2 of our public roadmap will indeed be released in Q2, while others will spill into Q3 (or later). We’re proud to provide transparency with our public roadmap, but please understand that it’s subject to change throughout the quarter. We do our best to update our roadmap frequently but can’t always do so right away.

    Although we can’t promise to release any of these features in Q2, a few features we plan to release sooner than later include:

    Our team is actively prioritizing the roadmap for Q3 right now. Check back soon to see the latest plan! 

    Will you be improving the returns and cancellations workflow for the Help center? We use Loop, but can’t integrate our self-service return portal with our new Help Center. (33:40)

    This is a limitation we’re definitely aware of, and are exploring options. The long-term solution is to build better integrations with Loop and other top returns platforms. If this is a feature you’d like to see, please submit the request here

    When will the option to convert phone calls to SMS be available? (45:15)

    We’re hoping to release more features around that at the start of 2023. Today if you receive a phone call, you can always reply to that ticket via SMS. In the future, we’ll focus on helping you deflect the phone call entirely and prioritize SMS instead. 

    Join us for the next monthly product event

    Thanks for checking out the recap of our June customer product event. We hold these events once as a month as a way to share the latest releases and connect with our customers in real-time. It’s a favorite – from both customers, and the Gorgias team. 

    If you’d like to sign up for the next one to attend live, you can register here. We’d love to have you join us! 

    New Apps: Summer 2022

    New apps that integrate with Gorgias: Summer 2022

    By Morgan Smith
    8 min read.
    0 min read . By Morgan Smith

    There are now over 85 incredible integrations in the Gorgias App Store with the tools that power your ecommerce store. While each app is unique, together these integrations can help your agents work more efficiently to provide excellent service to your customers. 

    Take a look at the newest additions so far from 2022. 

    In the first half of the year, we’ve launched 15 new integrations for your Gorgias helpdesk: 

    1. Klaviyo (updated!)
    2. Gorgias SMS
    3. Thankful AI
    4. Netsuite
    5. Okendo
    6. Narvar
    7. Skio
    8. Via Software
    9. Clyde
    10. Smartrr
    11. ShipMonk
    12. Annex Cloud
    13. Daton
    14. Shogun Frontend
    15. Gobot
    16. Shop2app

    Read on to learn how you can use these tools to help manage your store, and visit the Gorgias App Store to activate them today!

    Klaviyo (updated early 2022)

    Screenshot of Klaviyo integration with Gorgias

    Klaviyo is an email and SMS marketing automation platform built for ecommerce. Gorgias was the first helpdesk to connect to Klaviyo SMS, allowing your brand to create seamless conversations between your marketing campaigns, shoppers, and support team.

    With the updated Klaviyo integration, you can: 

    • Automatically create tickets in Gorgias from replies to Klaviyo SMS campaigns
    • Reply to Klaviyo SMS messages in the same place as every other customer conversation, with all the context of your ecommerce integrations
    • Create contact lists in Klaviyo based on support events in Gorgias

    This integration helps you streamline customer interactions and create higher-converting marketing campaigns. To learn more, go to the Gorgias App Store. 

    Gorgias SMS

    Screenshot of Gorgias SMS

    We recently released Gorgias SMS, an easy way for your brand to offer this convenient and conversational communication channel. It’s one of the fastest-growing support channels for ecommerce brands, and one of the most reliable for customers to contact you on (since it’s not dependent on internet access). 

    With Gorgias SMS, you can: 

    • Talk to customers on their (since they likely always have their phone on them) 
    • View order information in the same window as SMS tickets
    • Easily send photos back and forth with customers

    Click here to learn more about Gorgias SMS, available with all plans. 

    Thankful AI

    Screenshot of Thankful AI integration with Gorgias

    Thankful AI is a platform dedicated to helping you deliver better support for the post-purchase needs of your customers. The AI is tailored specifically for retail and ecommerce businesses, so you don’t have to worry about a disjointed experience. 

    With this integration, the Thankful AI agent can: 

    • Triage and route tickets to real agents
    • Tag tickets in Gorgias 
    • Respond to tickets across all written channels

    This frees up your agents to focus on more meaningful conversations with customers. Visit the Gorgias App Store to learn more about the Thankful integration. 

    NetSuite

    Screenshot of NetSuite integration with Gorgias

    NetSuite is a cloud ERP including financials, CRM, and ecommerce. It helps brand work more efficiently, take control of inventory and fulfillment, and bring all your tools together in a unified business management suite. ​​

    Sync NetSuite data into Gorgias to give your agents important customer & order information in a single tab. 

    With this integration, you can: 

    • Add over 60 NetSuite fields to a widget in the Gorgias Customer Sidebar.
    • Sync customer information from NetSuite into Gorgias.
    • Sync order information & shipping details from NetSuite into Gorgias.
    • Sync RMA information from NetSuite into Gorgias.
    • View the last 10 orders that have been created or modified.

    This helps your agents have all the context they need next to every conversation they have. Visit the Gorgias App Store to learn more. 

    Okendo

    Screenshot of Okendo integration with Gorgias

    Okendo is a customer marketing platform and an Official Google Reviews partner that helps brands capture and showcase high-impact social proof such as product ratings & reviews, customer photos & videos, and Q&A messageboards.

    With this integration, you can: 

    • Automatically create tickets in Gorgias for Okendo product reviews
    • Easily respond to every customer who leaves a review
    • Add an Okendo widget to the Gorgias Customer Sidebar for customer loyalty insights next to every ticket

    Visit the Gorgias App Store to learn more about our Okendo integration. 

    Narvar

    Screenshot of Okendo integration with Gorgias

    Link Narvar Return & Exchanges for Shopify with Gorgias to automate returns management and get rich insights that help you save costs and improve operations.

    With this integration, you can: 

    • ‍Create flexible return policies. Deploy tailored returns flows, policies, and fees for different products or customer segments to offer a differentiated experience.‍
    • Retain revenue with recommended exchanges. Convert up to 45% of refunds to exchanges by recommending exchanges of same or different value to customers right within the returns flow.‍
    • Bring customers back by incentivizing store credit. Add a credit bonus to store credit refunds based on specific exchange rules that will incentivize customers to keep shopping in your store.

    To learn more about our Narvar integration, visit the Gorgias App Store. 

    Skio

    Screenshot of Skio integration with Gorgias

    Skio helps brands on Shopify sell subscriptions. With this integration, you can add a Skio widget to your Customer Sidebar in Gorgias. This gives your agents insights into customer subscriptions right in the helpdesk without having to switch tabs. 

    With this integration, you can: 

    • View Skio customer information in the Gorgias Customer Sidebar
    • Quickly click out to Skio right from Gorgias if needed
    • Respond to subscription questions from one central location 

    To learn more about our Skio integration, visit the Gorgias App Store. 

    Via Software

    Screenshot of Okendo integration with Gorgias

    Via is a mobile commerce (SMS marketing) platform for ecommerce businesses. Send personalized messages to your customers for increased revenue and customer satisfaction. 

    With this integration, you can: 

    • Automatically create tickets in Gorgias based on customer replies to Via SMS
    • Respond to Via SMS messages directly from the Gorgias helpdesk
    • View the entire conversation, including replies from Gorgias, in the Via platform

    Visit the Gorgias App Store to learn more. 

    Clyde

    Screenshot of Clyde integration with Gorgias

    With Clyde and Gorgias working together, you can create a seamless and positive support experience by syncing all warranty data inside your Gorgias account. Stay focused and close tickets faster by viewing Clyde contracts and claims information in the same window you use to talk to customers.

    With this integration, you can: 

    • See the full picture of every customer
    • Find open warranty claims in a flash
    • Turn your support center into a profit center

    Manage warranty requests & find claims information in one tool. Head to the Gorgias App Store to learn more. 

    Smartrr

    Screenshot of Smartrr integration with Gorgias

    Smartrr is a seamless, full-service subscription solution. Paired with Gorgias, you can equip your team with the best customer service tools in one convenient location to increase customer satisfaction and drive customer loyalty. 

    With this integration, you can: 

    • Sync subscription data from Smartrr in Gorgias
    • Help agents stay focused in a single tab 
    • Provide better, faster support for subscription questions

    To learn more about our Smartrr integration, go to the Gorgias App Store. 

    ShipMonk 

    Screenshot of ShipMonk integration with Gorgias

    ShipMonk is an order fulfillment platform for eCommerce businesses ready to scale.  They offer technology-driven fulfillment solutions that enable business founders to devote more time to the things that matter most in their businesses.

    With this integration you'll be able to:

    • Pull order fulfillment data and tracking information from ShipMonk to Gorgias
    • Access specific orders in ShipMonk directly from the Customer Sidebar in Gorgias

    Learm more about the ShipMonk integration in the Gorgias App Store

    Annex Cloud

    Screenshot of Annex Cloud integration with Gorgias

    Annex Cloud is a cloud-based customer loyalty platform for enterprises. They provide integrated loyalty, engagement, and retention solutions across a range of program types like paid memberships, incentives, and more. 

    With this integration, you can: 

    • Sync customer’s loyalty data across tools
    • Show loyalty information of a customer when opening a new or existing ticket

    Click here to learn more about our Annex Cloud integration. 

    Daton

    Screenshot of Daton integration with Gorgias

    Daton can replicate Gorgias data to your data warehouse in minutes, freeing up your analysts to focus on generating important business insights instead of extracting data.  

    With this integration, you can sync information from Gorgias to your data warehouse like:

    • Customers
    • Jobs
    • Users
    • Tickets

    To learn more about Daton, visit the listing in the Gorgias App Store. 

    Shogun Frontend

    Screenshot of Shogun Frontend integration with Gorgias

    Shogun is a headless ecommerce platform built for merchants. Convert more with richer merchandising and sub-second store speed. The Gorgias integration allows merchants to add chat capabilities to their Shogun-powered shops. 

    With Gorgias chat on your Shogun Frontend, you can: 

    • Promote your products and provide order details, all connected to your ecommerce platform
    • Create chat campaigns to proactively message customers while they’re shopping live on your site
    • Have agents answer live chats or create customizable, automated flows to free up agents for the most important conversations

    Click here to learn more about our integration with Shogun Frontend.

    Gobot

    Screenshot of Gobot integration with Gorgias

    Gobot helps fast-growing Shopify stores convert more shoppers and reduce support burden with beautiful guided selling quizzes and AI-powered support chatbots.

    With this integration, you can: 

    • Sync recommendation data from Gobot into Gorgias so reps can respond and address questions via chat or email. 
    • Collect post-purchase survey data and automatically connect select customers with questions/feedback to support reps in Gorgias.
    • Automate repetitive customer support inquiries with Gobot’s AI Support Automation and seamlessly transition to Gorgias live chat or email support for those who require human assistance.

    Visit the Gobot listing in the Gorgias App Store to learn more. 

    Shop2app

    Screenshot of Okendo integration with Gorgias

    Shop2app is a mobile app builder. It’s designed for local delivery, national delivery, and in-store pickup, and also makes it easy to manage subscriptions and send push notifications to customers. 

    With this integration, you can: 

    • Automatically create tickets in Gorgias when customers contact a merchant from their mobile app.
    • Allow customers to initiate a support ticket directly from past orders within the mobile app.

    Visit the Shop2app listing in the Gorgias App Store to learn more. 

    Supercharge Gorgias, your CX command center

    The Gorgias App Store features 85+ high-quality integrations with other leading ecommerce tools. By connecting the apps that power your store, you can give your agents the context they need to provide remarkable customer service from a single workspace. (No more switching tabs!) 

    To add any of these apps to your helpdesk, go to Settings > Integrations or visit the Gorgias App Store

    May 2022: Product Roundup

    What’s New With Gorgias – May 2022 Product Updates

    By Morgan Smith
    4 min read.
    0 min read . By Morgan Smith

    Each month, our product team holds a casual, conversational event with our customers to demo new features, receive real-time feedback, and answer live Q&As. 

    Watch the video recap here, or read on for a recap of the latest releases. 

    1. SMS is officially live for all accounts (3:10) 

    With this new channel, you can receive and respond to SMS and MMS messages within Gorgias. This makes it easy for your customers to communicate with your store while they’re on the go, and easy for your agents to provide fast, conversational support. 

    SMS tickets shown in Gorgias feed

    We’re releasing SMS this quarter as a free trial for every customer on every plan. Conversations will count toward your plan’s ticket count, but there are no additional charges for minutes, usage, phone numbers, etc. In the coming months, we’ll be assessing the best way to provide Voice and SMS so we can continue to innovate and build powerful new features for these channels.

    2. SMS Pro-tip: Create a Gorgias Rule to set up a double opt-in (11:55) 

    If you want customers to consent to receive SMS messages before your agents actually reply, you can do this with a simple Rule in Gorgias. Here’s what it would look like: 

    Gorgias automation rule for an SMS double opt-in

    Read this article for four more Gorgias Rules to help automate SMS

    3. Agents will now receive browser notifications when a ticket is assigned to them (14:55) 

    Browser notifications an agent would get using Gorgias

    This is especially great for anyone who gets tickets assigned to them, but may not be looking at Gorgias throughout their entire workday. (Think managers, social media collaborators, etc.) 

    To see these notifications, you may need to adjust your browser and/or computer settings. You can see an example for Chrome + Mac in our official Product Update

    4. Quick response flows in self-service got a revamp  (21:48) 

    Quick response flows bring in a critical component to self-service, creating more ways to engage with shoppers who visit your store online. We designed quick response flows with the guidance that 60% of the time, customers use chat to ask pre-purchase questions. Most successful merchants leverage their FAQ content to prompt conversation with quick response flows that result in generating revenue, trust and loyalty.

    If you haven’t yet activated quick response flows, you’re in for a treat. With this revamp, you can now easily manipulate every step of the experience for quick response flows from self-service settings. Immediately under the Quick Response Flows tab, you can write in any question and answer you prefer and hit save. There is no other place or screen you’d need to navigate. Using the preview on the right, you can reassure the quality of the experience you want to create for your customers. 

    Quick response flows in the Gorgias platform

    If customers click on a quick response flow and find the information they need, this will not count towards your monthly ticket volume. 

    If they click on a quick response flow  and select “No, I need more help” option, it will create a ticket for an agent to address. 

    Best practices

    It’s amazing when our merchants start using a feature and take it to the next level. We’ve seen some of the best practices to include creating unique tags for each quick response flow created (e.g. Quick_Response_Flow_1), then adding a corresponding view in Tickets. This way, you can track closely the conversations prompted by quick response flows and dedicate a select group of agents who are trained to expand on the subject and help your customers become fans. For more on this subject, check out Quick Response Flows help doc here

    Customer Q&A (26:50) 

    Tune into that timestamp if you want the full 25 minutes of customer-led questions and answers from our product team. Here were a few of the highlights!

    Gorgias Phone vs Aircall: What are the differences? What’s the timeline for improvement for Gorgias Voice? (32:40) 

    Gorgias phone is an easy way to add a basic phone line to your store. If you’re looking for advanced, full call center features, our partners like Aircall or RingCentral may be a better solution for you. 

    For example, their phone-specific statistics are more in-depth than ours, but the ability to create a phone number and answer it in the Gorgias helpdesk is naturally easier with Gorgias. 

    Our long-term vision for Gorgias Phone is not to fully compete with apps like Aircall, but rather to invest in ecommerce-specific solutions so you can provide the best voice support to your shoppers. 

    What’s up with WhatsApp? (37:50)

    It’s our next new channel, coming Q3! We have access to the API and are ready to start building at the end of the quarter. (Just need to polish up a few existing channel bugs first.) 

    Any plans to integrate with Shopify Blogs? (43:15) 

    Not yet, but we’d love to hear more feedback about this if it’s something you’re interested in! Submit this idea on our Product Roadmap to help us prioritize it. 

    Join us for the next monthly product event

    That completes our recap of our May customer product event. We hold these events once as a month as a way to review the latest releases and connect with our customers in real-time. It’s a favorite – from both customers, and the Gorgias team. 

    If you’d like to sign up for the next one to attend live, you can register here. We’d love to have you join us! 

    Voice Support Benefits

    4 Benefits of Adding Voice Support to Your Ecommerce Store

    By Morgan Smith
    4 min read.
    0 min read . By Morgan Smith

    Wondering if your team should add voice support to your ecommerce channels this year? You’re not alone. 

    Over 15% of our customers currently have a phone integration added to their account, thanks to the Gorgias Voice integration and partners like Aircall and RingCentral.

    While voice support may feel like an “outdated” channel in the age of live chat and social media, this tells us that ecommerce support teams are increasingly finding value in offering it to their clients. 

    Here are 4 benefits of adding voice support to your ecommerce store: 

    • You can achieve faster first response times and faster resolution times
    • It’s easier to express empathy with customers.
    • Having a phone number builds trust and brand quality. 
    • It makes your support more accessible. 

    You can achieve faster first response times and faster resolution times. 

    Phones are an immediate communication channel, so it’s not surprising that adding voice support can boost your first response time. What we weren’t expecting, however, was by how much: 

    Our customers with phones have a first response time that’s 7x faster than merchants that don’t offer voice support. (30 minutes compared to 4 hours.) 

    What’s even more important to note, however, is that adding voice support doesn’t decrease resolution time (like many support managers fear). In fact, it makes quite a positive impact: 

    Our merchants using phones have an average resolution time that’s 34% faster than customers who don’t. 

    So not only does this channel help you respond to customers faster, but it helps you resolve their issues faster. That means your team can work more efficiently and spend up to 66% less time resolving each ticket. (Imagine how that could help increase your store’s revenue!) 

    It’s easier to express empathy with customers (which can lead to better Satisfaction scores).

    Talking (literally) to shoppers and hearing their tone of voice is the best way your agents can adjust their responses to create a great customer experience. 

    While you can do your best to read clues in email and chat, it’s always going to be easier to match the customer’s tone when actually listening to them on the phone. 

    And when your agents can express empathy and solve the problem accordingly, you’ve got a better chance at getting that 5-star review and positive customer feedback. 

    Our customers using phones have an average Satisfaction score of 4.56 out of 5. 

    While that score also depends a lot on your support agents and their personal approach to customer service, there’s no denying that actually speaking to clients is helpful for both parties in those moments.

    Having a phone number builds trust and brand quality. 

    Especially if you sell high-end products or have VIP customers (like wholesalers buying in bulk), having a phone number adds a level of legitimacy to your business. 

    Since most online stores don’t immediately add phones as a support channel, it will stand out to customers when your shop does offer voice support. 

    Phones add a sense of maturity to your business (and especially if you’re using an integrated solution like Gorgias Voice), there’s not much cost involved to elevate the status of your store like this. 

    It makes your support more accessible. 

    While the internet has come a long way over the years in terms of accessibility, the truth remains that phone support may be an easier and more comfortable contact method for some of your customers than digital channels. 

    Test your live chat experience with a screen reader, for example. What’s the experience like? (And how does it compare to dialing a phone number and talking verbally to someone?) 

    If there’s a chance that voice support is more approachable for a part of your customer demographic, you’ll create a better shopping experience for them by adding a phone line. 

    Now that you know the benefits of phone support, how do you actually add it? 

    The first thing you’ll need to decide is who on your team will actually be answering the phones. 

    A few options to explore: 

    1. Having your existing support agents answer phones. This is best if your agents aren’t already too busy, or you have someone who’s particularly good at verbal communication. 
    2. Hiring a new agent(s). This is the situation many support managers find themselves in -- they want to add phones, but don’t feel like they have the right staff yet to manage it. Hiring someone new can help, but we also recommend following these tips to keep resolution times fast and phone processes efficient. 
    3. Outsourcing phone support. If you’re expecting a large amount of call volume and don’t feel you can internally staff the team to support it, outsourcing to a call agency is always an option. This can be expensive upfront, however, so it may be best to try one of the other options and consider this as a last resort. 

    Next, you’ll need to choose a phone platform. 

    If you’re adding our built-in voice channel to your Gorgias helpdesk, all you have to do to get started is log into your Gorgias helpdesk and create a new number (or forward or port an existing one, if you happen to have one already). 

    Our phone integration is included in all Gorgias plans, and unlike other providers, there’s no annual contract fee and no minimum seat requirement. 

    This makes it a great option for teams looking to add phones for the first time or who want to manage all communication channels in one place. 

    Plus, our ecommerce integrations save your agents time by displaying callers’ shopping history right in the helpdesk, so they don’t have to go searching for the last order, for example. 

    For more tips on how to create efficient phone processes and increase resolution time by 34%, check out this article

    Finally, once you’ve set up your team and chosen your provider, all that’s left to do is make your number visible. 

    If you’re offering voice support for all your customers, you might place it in the footer of your website or all transactional emails. 

    If you’re piloting voice support or using it exclusively for a segment of shoppers, you might save it for smaller email segments or place it only on dedicated landing pages just for them. 

    Wherever you decide to put your number, just make sure it's easily accessible and clearly visible so your shoppers can start calling, and your support team can start delivering even better customer experiences!

    Start SMS Support

    Start providing SMS support today, with Gorgias

    By Morgan Smith
    4 min read.
    0 min read . By Morgan Smith

    SMS is a convenient way for customers to contact your brand and receive fast support. It’s no wonder it’s one of the top five channels that consumers expect to engage with brands, alongside email, voice, website, and in-person. 

    Every Gorgias plan now includes two-way SMS at no additional cost, making it easy for your brand to start offering this conversational channel.

    Why offer SMS support?

    There are many reasons to offer customer service messaging, but here are the top four:

    It’s fast and conversational

    SMS is a conversational, real-time channel. The benefit of this is that customers tend to keep the conversation short and reply quickly to follow-up questions, meaning your agents can resolve the situation quickly, too. 

    Customers can contact you while they’re “on the go” 

    Most people keep their phone with them everywhere they go. With SMS, it’s easy for customers to start the conversation and follow-up as they move throughout their day, instead of feeling stuck to a chat conversation on their laptop. 

    It’s natural for younger customers

    Sending text messages feels like you’re texting a friend, even if it’s actually between customers and your brand. Younger clientele will feel natural using this support channel, and it can even help you build that friendly-feeling into your brand perception. 

    It makes sending photos back and forth easy

    Does your refund or return policy require photo evidence to kick off the process? If your customers ever need to send pictures of damaged items or wrong products, SMS is the perfect channel because they’re probably taking those photos on their phone anyway. 

    Still not sure if SMS is a support channel your brand should prioritize? Try it for 2 weeks. Because SMS is included in every Gorgias plan, it’s easy to turn off if you decide it isn’t right. 

    Recommended reading: Our list of 60+ fascinating customer service statistics.

    How to add SMS to your helpdesk 

    You’ll need two things to get started with Gorgias SMS. (Don’t worry, they’re both quick!) 

    If you’re new here, get started on the  Gorgias helpdesk. It only takes a few minutes to create an account, and you can always book a call with our sales team if you have questions. 

    The second is a Gorgias-owned phone number, meaning you either created it in Gorgias or ported it from your previous phone provider. You can do both of these actions in Settings > Phone Numbers

    Note: SMS is currently only available for US, UK, and Canadian numbers. 

    Once your phone number is ready in Gorgias, you can add the SMS integration to it. You can do this from Settings > Integrations > SMS

    Once the integration is active, you’re ready to start replying to SMS conversations from your customers. 

    To tell your customers they can now text your brand, we recommend adding “Text us,” plus your phone number, in some or all of these places: 

    • The footer of your website
    • The “Contact Us” page of your website
    • Your Gorgias Help Center
    • Transactional emails (order confirmation, return initiated, etc.)

    4 automation Rules to help you get started 

    Below are four top automation rules to take full advantage of SMS customer service. We also have a full guide on customer service messaging that includes templates and macros to upgrade your SMS support.

    Auto-tag with “SMS”

    SMS is an official channel in Gorgias, meaning you can see SMS-specific stats or create SMS-specific Views out of the box. There may be times when you also want to Tag tickets with “SMS” however, in which case you can do so with a Rule like this: 

    Auto-assign to a real-time team

    SMS is a fast, conversational channel, so you’ll want to assign these tickets to agents that can keep up with the pace. If you have a dedicated chat team, they’ll be naturals at answering questions via SMS, as well. Here’s a Rule that will automatically assign SMS tickets to a specific team. 

    Auto-reply: Message received

    When customers text your brand, they’ll expect a fast response. In order to buy your agents some time, we recommend sending an auto-response to let the customer know their message has been received and an agent will be with them shortly. This will also give them confidence that the text message did in fact go through, so they don’t follow-up right away. 

    Auto-reply: Order status

    Whenever you add a new communication channel for your customers, you should consider how you’ll respond to WISMO (“Where is my order?”) questions on it. With SMS, you’ll want to keep the length of your reply in mind so you’re not sending an insanely long text message back to customers. We recommend creating a Rule that can A) make sure the reply follows the best format for SMS and B) save your agents from having to answer these WISMO questions manually.

    Next: Connect your SMS marketing apps for a seamless experience

    Gorgias SMS empowers your brand to keep the conversation going on SMS, even when your customers are on the go.

    We also integrate with SMS marketing apps, making it easier for agents to answer promotion replies from one workspace. They can work more efficiently while turning SMS questions into opportunities for better customer value. 

    In the Gorgias App Store, you’ll find some of the top ecommerce integration partners like Klaviyo, Attentive, Postscript, and more. 

    If your brand is using any of these apps to drive sales via SMS, we highly recommend integrating with Gorgias so your team can work more efficiently toward your revenue goals. When SMS marketing and SMS customer service work in tandem, they are far more powerful.

    Want to see an example of a brand that successfully launched SMS customer support and effectively drove customers to use the new channel? Check out our playbook of Berkey Filters, an ecommerce merchant that did just that.

    Ready to get started with this conversational support channel? Add SMS to your Gorgias helpdesk today or book a call with our team to learn more.

    Continuous Deployment

    Leveraging Automation on Our Path to Continuous Deployment and GitOps

    By Vincent Gilles
    9 min read.
    0 min read . By Vincent Gilles

    As we all locked down in March 2020 and changed our shopping habits, many brick-and-mortar retailers started their first online storefronts. 

    Gorgias has benefitted from the resulting ecommerce growth over the past two years, and we have grown the team to accommodate these trends. From 30 employees at the start of 2020, we are now more than 200 on our journey to delivering better customer service.

    Our engineering team contributed to much of this hiring, which created some challenges and growing pains. What worked at the beginning with our team of three did not hold up when the team grew to 20 people. And the systems that scaled the team to 20 needed updates to support a team of 50. To continue to grow, we needed to build something more sustainable.

    Continuous deployment — and the changes required to support it — presented a major opportunity for reaching toward the scale we aspired to. In this article I’ll explore how we automated and streamlined our process to make our developers’ lives easier and empower faster iteration.

    Scaling our deployment process alongside organizational growth

    Throughout the last two years of accelerated growth, we’ve identified a few things that we could do to better support our team expansion. 

    Before optimizing the feature release process, here’s how things went for our earlier, smaller team when deploying new additions:

    1. Open a pull request (PR) on GitHub, which would run our tests in our continuous integration (CI) system
    2. Merge those changes into the main branch, once the changes are approved
    3. Automatically deploy the new commit in the staging/testing environment, after tests run and pass on the main branch
    4. Deploy these changes in our production environment, assuming all goes well up until this point
    5. Post on the dedicated Slack channel to inform the team of the new feature, specifying the project deployed and attaching a screenshot of all commits since the last deployment.
    6. Watch dashboards for any changes — as a failsafe to back up the alerts that were already triggering — to check if the change needed to be rolled back.

    This wasn’t perfect, but it was an effective solution for a small team. However, the accelerated growth in the engineering team led to a sharp increase in the number of projects and also collaborators on each project. We began to notice several points of friction:

    • The process was slow and painful. The continuous integration and continuous deployment (CI/CD) systems are meant to speed the process up, but we still need to perform rigorous testing. We needed to find the sweet spot between speed and rigorous testing and we believed both aspects left room for improvement.
    • Developers didn’t always take full ownership of their changes. When a change wasn’t considered critical (which happened fairly often), a developer would often let the next developer with a critical change deploy multiple commits at the same time. When problems occurred, this made it much more difficult to diagnose the bad commit.
    • It was a challenge to track version changes. To track the version of a service that was deployed in production, you had to either check our Kubernetes clusters directly or go through the screenshots in our dedicated Slack channel.
    • Each project had its own set of scripts to help with deployment. We wanted to streamline our deployment process and add some consistency across all projects.

    It was clear that things needed to change.

    Adjusting practices and tools to lay the foundation for implementing GitOps

    On the Site Reliability Engineering (SRE) team, we are fans of the GitOps approach, where Git is the single source of truth. So when the previously mentioned points of friction became more critical, we felt that all the tooling involved in GitOps practices could help us find practical solutions.

    Additionally, these solutions would often rely on tooling we already had in place (like Kubernetes, or Helm for example).

    What is GitOps?

    GitOps is an operational framework. It takes application-development best practices and applies them to infrastructure automation. 

    The main takeaway is that in a GitOps setting, everything from code to infrastructure configuration is versioned in Git. It is then possible to create automation by leveraging the workflows associated with Git. 

    What are the benefits of implementation?

    One such class of that automation could be “operations by pull requests”. In that case, pull requests and associated events could trigger various operations. 

    Here are some examples:

    • Opening a pull request could build an application and deploy it to a preview environment
    • You could add a commit to said pull request to rebuild the application and update the container image’s version in the preview environment
    • By merging the pull request, you could trigger a workflow that would result in the new changes being deployed in a live production environment

    Using ArgoCD as a building block

    ArgoCD is a continuous deployment tool that relies on GitOps practices. It helps synchronize live environments and services to version-controlled declarative service definitions and configurations, which ArgoCD calls Applications. 

    In simpler terms, an Application resource tells ArgoCD to look at a Git repository and to make sure the deployed service’s configuration matches the one stored in Git.

    The goal wasn’t to reinvent the wheel when implementing continuous deployment. We instead wanted to approach it in a progressive manner. This would help build developer buy-in, lay the groundwork for a smoother transition, and reduce the risk of breaking deploys. ArgoCD was an excellent step toward those goals, given how flexible it is with customizable Config Management Plugins (CMP).

    ArgoCD can track a branch to keep everything up to date with the last commit, but can also make sure a particular revision is used. We decided to use the latter approach as an intermediate step, because we weren’t quite ready to deploy off the HEAD of our repositories. 

    The only difference from a pipeline perspective is that it now updates the tracked revision in ArgoCD instead of running our complex deployment scripts. ArgoCD has a Command Line Interface (CLI) that allows us to simply do that. Our deployment jobs only need to run the following command:

    The developers’ workflow is left untouched at this point. Now comes the fun part.

    Building automation into our process to move faster

    Our biggest requirement for continuous deployment was to have some sort of safeguard in case things went wrong. No matter how much we trust our tests, it is always possible that a bug makes its way to our production environments.

    Before implementing Argo Rollouts, we still kept an eye on the system to make sure everything was fine during deployment and took quick action when issues were discovered. But up to that point, this process was carried out manually. 

    It was time to automate that process, toward the goal of raising our team’s confidence levels when deploying new changes. By providing a safety net, of sorts, we could be sure that things would go according to plan without manually checking it all.

    Argo Rollouts can revert changes automatically, when issues arise

    Argo Rollouts is a progressive delivery controller. It relies on a Kubernetes controller and set of custom resource definitions (CRD) to provide us with advanced deployment capabilities on top of the ones natively offered by Kubernetes. These include features like:

    • Blue/Green, which consists of deploying all the new instances of our application alongside the old version without sending traffic to it at first. We can then run some tests on the new version and flip the switch when we made sure everything was fine. Once no more traffic is sent to the old version, we can tear it down.
    • Canary deployments, which allow us to start by only deploying a small number of replicas, using the new version of our software. This way, we’re able to shift a small portion of traffic to the new version. We can do multiple steps here and only shift 1% of the traffic towards the new version at first. Then 10%, 50% or even more depending on what we try to achieve.
    • Analyzing new deployments’ performance. Argo Rollouts allows us to automate some checks as we are rolling out a new version of our software. To do that, we describe such checks in an AnalysisTemplate resource, which Argo Rollouts will use to query our metric provider and make sure everything is fine.
    • Experiments, which are another resource Argo Rollouts introduces to allow for short-lived experiments such as A/B testing.
    • Progressive delivery in Kubernetes clusters by managing the entire rollout process and allowing us to describe the desired steps of a rollout. It allows us to set a weight for a canary deployment (the ratio between pods running the new and the old versions), perform an analysis, or even pause a deployment for a given amount of time or until manual validation.
    Argo Rollouts dashboard view of our awesome-service rollout. On the left we can see the current version is stable and on the right we can see the different steps during the rollout process, top to bottom.

    We were especially interested in the canary and canary analysis features. By shifting only a small portion of traffic to the new version of an application, we can limit the blast radius in case anything is wrong. Performing an analysis allows us to automatically, and periodically, check that our service’s new version is behaving as expected before promoting this canary. 

    Argo Rollouts is compatible with multiple metric providers including Datadog, which is the tool we use. This allows us to run a Datadog query (or multiple) every few minutes and compare the results with a threshold value we specify. 

    We can then configure Argo Rollouts to automatically take action, should the threshold(s) be exceeded too often during the analysis. In those cases, Argo Rollouts scales down the canary and scales the previous stable version of our software back to its initial number of replicas.

    Argo rollouts in action, stopping a bad deploy that would have certainly caused a large problem

    Each service has its own metrics to monitor, but for starters we added an error rate check for all of our services.

    Creating a deployment conductor to simplify configuration and deployment management

    Remember when I mentioned replacing complex, project-specific deployment scripts with a single, simple command? That’s not entirely accurate, and requires some additional nuance for a full understanding.

    Not only did we need to deploy software on different kinds of environments (staging and production), but also in multiple Kubernetes clusters per environment. For example, the applications composing the Gorgias core platform are deployed across multiple cloud regions all around the world.

    ArgoCD and Argo Rollouts might seem to be magic tools, we actually still need some “glue” to make things stick together. Now because of ArgoCD’s application-based mechanisms, we were able to get rid of custom scripts and use this common tool across all projects. This in-house tool was named deployment conductor.

    We even went a step further and implemented this tool in a way that accepts simple YAML configuration files. Such files allow us to declare various environments and clusters in which we want each individual project to be deployed.

    When deploying a service to an environment, our tool will then go through all clusters listed for that environment.

    For each of these, it will look for dedicated values.yaml files in the service’s chart’s directory. This allows developers to change a service’s configuration based on the environment and cluster in which it’s deployed. Typically, they would want to edit the number of replicas for each service depending on the geographical region.

    This makes it much easier for developers than having to manage configuration and maintain deployment scripts.

    Enabling continuous deployment

    This leads us to the end of our journey’s first leg: our first encounter with continuous deployment.

    After we migrated all our Kubernetes Deployments to Argo Rollouts, we let our developers get acclimated for the next few weeks. 

    Our new setup still wasn’t fully optimized, but we felt like it was a big improvement compared to the previous one. And while we could think of many improvements to make things even more reliable before enabling continuous deployment, we decided to get feedback from the team during this period, to iterate more effectively.

    Some projects introduced additional technicalities to overcome, but we easily identified a small first batch of projects where we could enable CD. Before deployment, we asked the development team if we were missing anything they needed to be comfortable with automatic deployment of their code in production environments. 

    With everyone feeling good about where we were at, we removed the manual step in our CI system (GitLab) for jobs deploying to production environments.

    Next steps on the path to continuous deployment

    We’re still monitoring this closely, but so far we haven’t had any issues. We still plan on enabling continuous deployment on all our projects in the near future, but it will be a work in progress for now.

    Here are some ideas for future improvements that anticipate potential roadblocks:

    • Some projects still require additional safeguards before continuous deployment. Automating database migrations is one of our biggest challenges. Helm pre-upgrade hooks would allow us to check if a migration is necessary before updating an application and run it when appropriate. But when automating these database migrations, the tricky part is avoiding heavy locks on critical tables.
    • It still isn’t that easy to track what version of a service is currently deployed. When things go according to plan, the last commit in the main branch should either be deployed or currently deploying. To solve this, we could go a step further and version the state of each application for each cluster, including the version identifier for the version that should be deployed. We’re also monitoring the Argo image updater repository closely. When a stable version is released, it could help us detect new available versions for services, deploy them, and update the configuration in Git automatically.
    • When there are multiple clusters per environment with the same services deployed, we end up with too many ArgoCD applications. One thing we could do is use the “app of apps” pattern and manage a single application to create all the other required applications for a given service.
    • On the bigger projects, the volume of activity may require the queuing of deployments. In fact, if two people merge changes in the main branch around the same time, there could be issues. The last thing we want is for the last commit to be deployed and then replaced by the commit preceding it.

    We’re excited to explore these challenges. And, overall, our developers have welcomed these changes with open arms. It helps that our systems have been successful at stopping bad deployments from creating big incidents so far. 

    While we haven’t reached the end of our journey yet, we are confident that we are on the right path, moving at the right pace for our team.

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