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Conversational Commerce Strategy

AI in CX Webinar Recap: Building a Conversational Commerce Strategy that Converts

By Gabrielle Policella
0 min read . By Gabrielle Policella

TL;DR:

  • Implement quickly and optimize continuously. Cornbread's rollout was three phases: audit knowledge base, launch, then refine. Stacy conducts biweekly audits and provides daily AI feedback to ensure responses are accurate and on-brand.
  • Simplify your knowledge base language. Before BFCM, Stacy rephrased all guidance documentation to be concise and straightforward so Shopping Assistant could deliver information quickly without confusion.
  • Use proactive suggested questions. Most of Cornbread's Shopping Assistant engagement comes from Suggested Product Questions that anticipate customer needs before they even ask.
  • Treat AI as another team member. Make sure the tone and language AI uses match what human agents would say to maintain consistent customer relationships.
  • Free up agents for high-value work. With AI handling straightforward inquiries, Cornbread's CX team expanded into social media support, launched a retail pop-up shop, and has more time for relationship-building phone calls.

Customer education has become a critical factor in converting browsers into buyers. For wellness brands like Cornbread Hemp, where customers need to understand ingredients, dosages, and benefits before making a purchase, education has a direct impact on sales. The challenge is scaling personalized education when support teams are stretched thin, especially during peak sales periods.

Katherine Goodman, Senior Director of Customer Experience, and Stacy Williams, Senior Customer Experience Manager, explain how implementing Gorgias's AI Shopping Assistant transformed their customer education strategy into a conversion powerhouse. 

In our second AI in CX episode, we dive into how Cornbread achieved a 30% conversion rate during BFCM, saving their CX team over four days of manual work.

Top learnings from Cornbread's conversational commerce strategy

1. Customer education drives conversions in wellness

Before diving into tactics, understanding why education matters in the wellness space helps contextualize this approach.

Katherine, Senior Director of Customer Experience at Cornbread Hemp, explains:

"Wellness is a very saturated market right now. Getting to the nitty-gritty and getting to the bottom of what our product actually does for people, making sure they're educated on the differences between products to feel comfortable with what they're putting in their body."

The most common pre-purchase questions Cornbread receives center around three areas: ingredients, dosages, and specific benefits. Customers want to know which product will help with their particular symptoms. They need reassurance that they're making the right choice.

What makes this challenging: These questions require nuanced, personalized responses that consider the customer's specific needs and concerns. Traditionally, this meant every customer had to speak with a human agent, creating a bottleneck that slowed conversions and overwhelmed support teams during peak periods.

2. Shopping Assistant provides education that never sleeps

Stacy, Senior Customer Experience Manager at Cornbread, identified the game-changing impact of Shopping Assistant:

"It's had a major impact, especially during non-operating hours. Shopping Assistant is able to answer questions when our CX agents aren't available, so it continues the customer order process."

A customer lands on your site at 11 PM, has questions about dosage or ingredients, and instead of abandoning their cart or waiting until morning for a response, they get immediate, accurate answers that move them toward purchase.

The real impact happens in how the tool anticipates customer needs. Cornbread uses suggested product questions that pop up as customers browse product pages. Stacy notes:

"Most of our Shopping Assistant engagement comes from those suggested product features. It almost anticipates what the customer is asking or needing to know."

Actionable takeaway: Don't wait for customers to ask questions. Surface the most common concerns proactively. When you anticipate hesitation and address it immediately, you remove friction from the buying journey.

3. Implementation follows a clear three-phase approach

One of the biggest myths about AI is that implementation is complicated. Stacy explains how Cornbread’s rollout was a straightforward three-step process: audit your knowledge base, flip the switch, then optimize.

"It was literally the flip of a switch and just making sure that our data and information in Gorgias was up to date and accurate." 

Here's Cornbread’s three-phase approach:

  1. Preparation. Before launching, Cornbread conducted a comprehensive audit of their knowledge base to ensure accuracy and completeness. This groundwork is critical because your AI is only as good as the information it has access to.
  2. Launch and training. After going live, the team met weekly with their Gorgias representative for three to four weeks. They analyzed engagements, reviewed tickets, and provided extensive AI feedback to teach Shopping Assistant which responses were appropriate and how to pull from the knowledge base effectively.
  3. Ongoing optimization. Now, Stacy conducts audits biweekly and continuously updates the knowledge base with new products, promotions, and internal changes. She also provides daily AI feedback, ensuring responses stay accurate and on-brand.

Actionable takeaway: Block out time for that initial knowledge base audit. Then commit to regular check-ins because your business evolves, and your AI should evolve with it.

Read more: AI in CX Webinar Recap: Turning AI Implementation into Team Alignment

4. Simple, concise language converts better

Here's something most brands miss: the way you write your knowledge base articles directly impacts conversion rates.

Before BFCM, Stacy reviewed all of Cornbread's Guidance and rephrased the language to make it easier for AI Agent to understand. 

"The language in the Guidance had to be simple, concise, very straightforward so that Shopping Assistant could deliver that information without being confused or getting too complicated," Stacy explains. When your AI can quickly parse and deliver information, customers get faster, more accurate answers. And faster answers mean more conversions.

Katherine adds another crucial element: tone consistency.

"We treat AI as another team member. Making sure that the tone and the language that AI used were very similar to the tone and the language that our human agents use was crucial in creating and maintaining a customer relationship."

As a result, customers often don't realize they're talking to AI. Some even leave reviews saying they loved chatting with "Ally" (Cornbread's AI agent name), not realizing Ally isn't human.

Actionable takeaway: Review your knowledge base with fresh eyes. Can you simplify without losing meaning? Does it sound like your brand? Would a customer be satisfied with this interaction? If not, time for a rewrite.

Read more: How to Write Guidance with the “When, If, Then” Framework

5. Black Friday results proved the strategy works under pressure

The real test of any CX strategy is how it performs under pressure. For Cornbread, Black Friday Cyber Monday 2025 proved that their conversational commerce strategy wasn't just working, it was thriving.

Over the peak season, Cornbread saw: 

  • Shopping Assistant conversion rate jumped from a 20% baseline to 30% during BFCM
  • First response time dropped from over two minutes in 2024 to just 21 seconds in 2025
  • Attributed revenue grew by 75%
  • Tickets doubled, but AI handled 400% more tickets compared to the previous year
  • CSAT scores stayed exactly in line with the previous year, despite the massive volume increase

Katherine breaks down what made the difference:

"Shopping Assistant popping up, answering those questions with the correct promo information helps customers get from point A to point B before the deal ends."

During high-stakes sales events, customers are in a hurry. They're comparing options, checking out competitors, and making quick decisions. If you can't answer their questions immediately, they're gone. Shopping Assistant kept customers engaged and moving toward purchase, even when human agents were swamped.

Actionable takeaway: Peak periods require a fail-safe CX strategy. The brands that win are the ones that prepare their AI tools in advance.

6. Strategic work replaces reactive tasks

One of the most transformative impacts of conversational commerce goes beyond conversion rates. What your team can do with their newfound bandwidth matters just as much.

With AI handling straightforward inquiries, Cornbread's CX team has evolved into a strategic problem-solving team. They've expanded into social media support, provided real-time service during a retail pop-up, and have time for the high-value interactions that actually build customer relationships.

Katherine describes phone calls as their highest value touchpoint, where agents can build genuine relationships with customers. “We have an older demographic, especially with CBD. We received a lot of customer calls requesting orders and asking questions. And sometimes we end up just yapping,” Katherine shares. “I was yapping with a customer last week, and we'd been on the call for about 15 minutes. This really helps build those long-term relationships that keep customers coming back."

That's the kind of experience that builds loyalty, and becomes possible only when your team isn't stuck answering repetitive tickets.

Stacy adds that agents now focus on "higher-level tickets or customer issues that they need to resolve. AI handles straightforward things, and our agents now really are more engaged in more complicated, higher-level resolutions."

Actionable takeaway: Stop thinking about AI only as a cost-cutting tool and start seeing it as an impact multiplier. The goal is to free your team to work on conversations that actually move the needle on customer lifetime value.

7. Continuous optimization for January and beyond

Cornbread isn't resting on their BFCM success. They're already optimizing for January, traditionally the biggest month for wellness brands as customers commit to New Year's resolutions.

Their focus areas include optimizing their product quiz to provide better data to both AI and human agents, educating customers on realistic expectations with CBD use, and using Shopping Assistant to spotlight new products launching in Q1.

Build your conversational commerce strategy now

The brands winning at conversational commerce aren't the ones with the biggest budgets or the largest teams. They're the ones who understand that customer education drives conversions, and they've built systems to deliver that education at scale.

Cornbread Hemp's success comes down to three core principles: investing time upfront to train AI properly, maintaining consistent optimization, and treating AI as a team member that deserves the same attention to tone and quality as human agents.

As Katherine puts it:

"The more time that you put into training and optimizing AI, the less time you're going to have to babysit it later. Then, it's actually going to give your customers that really amazing experience."

Watch the replay of the whole conversation with Katherine and Stacy to learn how Gorgias’s Shopping Assistant helps them turn browsers into buyers. 

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min read.
Make AI Sound More Human

Make AI Sound More Human: How to Avoid Robotic Replies in Customer Support

Learn how small tweaks can make AI sound human and build trust in customer support.
By Gorgias Team
0 min read . By Gorgias Team

TL;DR:

  • Train your AI on your brand voice. A clear voice guide that covers tone, style, and formality helps your AI sound more natural and aligned with your brand.
  • Add short delays before AI responds. A one- or two-second pause can make AI responses seem more thoughtful.
  • Avoid generic phrases. Swap out formal responses for on-brand language that sounds like a real person on your team.
  • Mention customer context in replies. Referencing order history or previous conversations makes AI sound more human and builds trust.
  • Balance automation with human support. Let customers know when they are speaking to AI and escalate to a human when needed to avoid frustration.

Your AI sounds like a robot, and your customers can tell.

Sure, the answer is right, but something feels off. The tone of voice is stiff. The phrases are predictable and generic. At most, it sounds copy-pasted. This may not be a big deal from your side of support. In reality, it’s costing you more than you think.

Recent data shows that 45% of U.S. adults find customer service chatbots unfavorable, up from 43% in 2022. As awareness of chatbots has increased, so have negative opinions of them. Only 19% of people say chatbots are helpful or beneficial in addressing their queries. The gap isn't just about capability. It's about trust. When AI sounds impersonal, customers disengage or leave frustrated.

Luckily, you don't need to choose between automation and the human touch. 

In this guide, we'll show you six practical ways to train your AI to sound natural, build trust, and deliver the kind of support your customers actually like.

1. Train your AI on your brand voice

The fastest way to make your AI sound more human is to teach it to sound like you. AI is only as good as the input you give it, so the more detailed your brand voice training, the more natural and on-brand your responses will be.

Start by building a brand voice guide. It doesn't need to be complicated, but it should clearly define how your brand communicates with customers. At minimum, include:

  • Tone: Is your brand warm and empathetic? Confident and cheeky? Straightforward and helpful?
  • Style: How does your brand write? What is your personality? Short or long sentences, contractions or not, punctuation choices, and overall rhythm.
  • Formality: Do you use slang? Emojis? Address customers as “you,” “y’all,” or something else?
  • Friendliness: How personable should your AI sound? Is it playful, or should responses stay neutral and professional?

Think of your AI as a character. Samantha Gagliardi, Associate Director of Customer Experience at Rhoback, described their approach as building an AI persona:

"I kind of treat it like breaking down an actor. I used to sing and perform for a living — how would I break down the character of Rhoback? How does Rhoback speak? What age are they? What makes the most sense?" 

Next step

✅ Create a brand voice guide with tone, style, formality, and example phrases.

2. Delay responses to mimic human behavior

Humans associate short pauses with thinking, so when your AI responds too quickly, it instantly feels unnatural.

Adding small delays helps your AI feel more like a real teammate.

Where to add response delays:

  • Before sharing info that would realistically take a moment to look up, e.g., order history
  • Before confirming an action like issuing a refund or applying a discount
  • Transitioning or escalating between steps or agents
  • Emotional messages, like customer complaints and product quality issues

Even a one- to two-second pause can make a big difference in a robotic or human-sounding AI.

Next step

✅ Add instructions in your AI’s knowledge base to include short response delays during key moments.

3. Avoid generic phrasing and canned language

Generic phrases make your AI sound like... well, AI. Customers can spot a copy-pasted response immediately — especially when it's overly formal.

That doesn't mean you need to be extremely casual. It means being true to your brand. Whether your voice is professional or conversational, the goal is the same: sound like a real person on your team.

Here's how to replace robotic phrasing with more brand-aligned responses:

Generic Phrase

More Natural Alternative

“We apologize for the inconvenience.”

“Sorry about that, we’re working on it now.” (friendly)
“Apologies for the trouble. We’re resolving this ASAP.” (professional)

“Your satisfaction is our top priority.”

“We want to make sure this works for you.” (friendly)
“Let us know how we can make this right.” (professional)

“Please be advised…”

“Just a quick heads up…” (friendly)
“For your reference…” (professional)

“Your request has been received.”

“Got it. Thanks for reaching out.” (friendly)
“We’ve received your request and will follow up shortly.” (professional)

“I will now review your request.”

“Let me take a quick look.” (friendly)
“I’m reviewing the details now.” (professional)

Next step

✅ Identify your five most common inquiries and give your AI a rewritten example response for each.

4. Use context to inform answers

One of the biggest tells that a response is AI-generated? It ignores what's already happened.

When your AI doesn't reference order history or past conversations, customers are forced to repeat themselves. Repetition can lead to frustration and can quickly turn a good customer experience into a bad one.

Great AI uses context to craft replies that feel personalized and genuinely helpful.

Here's what good context looks like in AI responses:

  • Order awareness: The AI knows the customer placed an order yesterday and provides an accurate delivery estimate without asking for the order number again.
  • Conversation continuity: If the customer reached out earlier that week from a different support channel, the AI references that interaction or picks up where things left off.
  • Customer type: First-time shopper? VIP? The AI adjusts tone and detail level accordingly.

Tools like Gorgias AI Agent automatically pull in customer and order data, so replies feel human and contextual without sacrificing speed.

Next step

✅ Add instructions that prompt your AI to reference order details and/or past conversations in its replies, so customers feel acknowledged.

5. Balance automation with human handoff

Customers just want help. They don't care whether it comes from a human or AI, as long as it's the right help. But if you try to trick them, it backfires fast. AI that pretend to be human often give customers the runaround, especially when the issue is complex or emotional.

A better approach is to be transparent. Solve what you can, and hand off anything else to an agent as needed.

When to disclose that the customer is talking to AI:

  • You can disclose it at the start of the conversation, or include a disclaimer in your chat widget, contact page, or help center to let customers know AI may assist
  • When the customer asks to speak to a human or expresses frustration
  • If the AI cannot fulfill the request and needs to escalate
  • Anytime the AI is making decisions, like issuing refunds or processing cancellations
  • When transitioning from AI to a human agent

For more on this topic, check out our article: Should You Tell Customers They're Talking to AI?

Next step

✅ Set clear rules for when your AI should escalate to a human and include handoff messaging that sets expectations and preserves context.

6. Add intentional imperfections to sound human

We're giving you permission to break the rules a little bit. The most human-sounding AI doesn't follow perfect grammar or structure. It reflects the messiness of real dialogue.

People don't speak in flawless sentences every time. We pause, rephrase, cut ourselves off, and throw in the occasional emoji or "uh." When AI has an unpredictable cadence, it feels more relatable and, in turn, more human.

What an imperfect AI could look like: 

  • Vary sentence length and structure. Some short and choppy, others long. 
  • Add subtle grammatical “mistakes” like sentence fragments or informal punctuation. 
  • Mix in casual phrasing or idioms where appropriate. 
  • Avoid mechanical-sounding transitions. 
  • Occasionally use filler phrases like "kinda," "just checking," or "I think."

These imperfections give your AI a more believable voice.

Next step

✅ Add instructions for your AI that permit variation in grammar, tone, and sentence structure to mimic real human speech.

Natural-sounding AI is easier to set up than you think

Human-sounding AI doesn’t require complex prompts or endless fine-tuning. With the right voice guidelines, small tone adjustments, and a few smart instructions, your AI can sound like a real part of your team.

Book a demo of Gorgias AI Agent and see for yourself.

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5 min read.

AI Chatbot Not Working? 7 Common Issues and How to Fix Them

If your AI chatbot is looping, escalating too fast, or giving wrong answers, here’s how to fix it.
By Christelle Agustin
0 min read . By Christelle Agustin

TL;DR:

  • If your AI is giving wrong answers or getting stuck, it’s likely due to missing or conflicting knowledge. Ensure your AI is trained with up-to-date documents and add guardrails to prevent off-topic replies.
  • Loops and escalations usually mean your escalation rules aren’t specific enough. Define when AI should step in, when it should hand over, and create “escape phrases” that trigger human takeover.
  • Customers still want human help. Always offer a path to a real person and make sure your agents get full conversation context when a handoff happens.
  • Inconsistent tone between AI and agents can make disjointed experiences. Align your brand voice across all support channels and choose tools that let you customize AI tone.
  • AI works best when its role is clearly defined. Decide which topics it can handle, train it using real conversations, and review performance regularly to fine-tune your setup.

You’ve chosen your AI tool and turned it on, hoping you won’t have to answer another WISMO question. But now you’re here. Why is AI going in circles? Why isn’t it answering simple questions? Why does it hand off every conversation to a human agent?

Conversational AI and chatbots thrive on proper training and data. Like any other team member on your customer support team, AI needs guidance. This includes knowledge documents, policies, brand voice guidelines, and escalation rules. So, if your AI has gone rogue, you may have skipped a step.

In this article, we’ll show you the top seven AI issues, why they happen, how to fix them, and the best practices for AI setup. 

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1. AI sends the wrong answer — with confidence

AI can only be as accurate as the information you feed it. If your AI is confidently giving customers incorrect answers, it likely has a gap in its knowledge or a lack of guardrails.

Insufficient knowledge can cause AI to pull context from similar topics to create an answer, while the lack of guardrails gives it the green light to compose an answer, correct or not.

How to fix it: 

  • Update the AI knowledge base. Create a new document that covers the affected topic in its entirety. To ensure AI follows every step, write your instructions in a when/if/then format.
  • Define topics that AI should not handle. As a preventive measure, specify the topics the AI should skip and hand over to a human agent. For example, add words such as ‘disappointed’, ‘bad’, and ‘unacceptable’ to your AI off-limit list, so that human agents automatically handle negative-intent tickets.

2. Customer is stuck in an AI loop 

This is one of the most frustrating customer service issues out there. Left unfixed, you risk losing 29% of customers

If your AI is putting customers through a never-ending loop, it’s time to review your knowledge docs and escalation rules.

How to fix it:

  • Double-check for conflicts in knowledge. You may have provided multiple resolutions for the same issue across different knowledge sources, such as uploaded documents, website pages, and in-app instructions.
  • Add “escape routes”. Choose a set of phrases that automatically escalate conversations from AI to your support team. For example, “it’s not working” or “I already tried that”.
  • Set a max number of failed interactions before escalation. Opt for a one-fail-and-escalate approach for every conversation, or specify the number of failed interactions for certain topics.

3. AI escalates too quickly, even for easy questions

It can be frustrating when AI can’t do the bare minimum, like automate WISMO tickets. This issue is likely due to missing knowledge or overly broad escalation rules.

How to fix it:

  • Train AI on your FAQs and common issues. Which customer questions do you repeatedly receive? Create a document that lists out every question and its answer.
  • Update vague escalation rules. AI works best with specificity. For example, if you told it to escalate conversations about “returns,” it may even escalate frequently asked questions about return eligibility.

4. Customers can’t find a way to reach a human

One in two customers still prefer talking to a human to an AI, according to Katana. Limiting them to AI-only support could risk a sale or their relationship. 

The top live chat apps clearly display options to speak with AI or a human agent. If your tool doesn’t have this, refine your AI-to-human escalation rules.

How to fix it:

  • Set phrases to trigger escalation. In your knowledge docs, define which phrases should tell AI to hand a conversation over to your support team. For example, “I want to talk to someone” or “Can I talk to a human?”
  • Add a visible option to connect with a human. This can be a button in your chat widget, a note in your contact page, or even a link in your website footer. At minimum, give customers an easy-to-find way to reach a real person.

5. Handoff happens — but the agent gets no context

If your agents are asking customers to repeat themselves, you’ve already lost momentum. One of the fastest ways to break trust is by making someone explain their issue twice. This happens when AI escalates without passing the conversation history, customer profile, or even a summary of what’s already been attempted.

How to fix it:

  • Use rules to auto-tag conversations based on AI activity. Set up logic to tag tickets when certain conditions are met — like when AI attempted a specific action, couldn't resolve the issue, or triggered escalation.
  • Audit your escalated tickets. Look for patterns where context is missing, and adjust the AI-to-human transition logic accordingly.
  • Use an AI platform that provides automated ticket summaries. Choose a tool like Gorgias that provides a quick overview of every ticket.

6. The tone between AI and agent is jarring

Sure, conversational AI has near-perfect grammar, but if its tone is entirely different from your agents’, customers can be put off.

This mismatch usually comes from not settling on an official customer support tone of voice. AI might be pulling from marketing copy. Agents might be winging it. Either way, inconsistency breaks the flow.

How to fix it:

  • Create shared brand voice guidelines. Align tone, formality, and language rules across both AI scripts and agent responses.
  • Define emojis and punctuation use. A consistent visual style helps conversations feel smoother and more human.
  • Use AI tools that allow tone control. Choose platforms that let you customize the voice and personality of your AI to match your brand.
  • Train your agents with examples of ideal tone. Give your team brand voice examples of how conversations should continue when handed off.

7. You haven’t defined what AI should actually handle

When AI is underperforming, the problem isn’t always the tool. Many teams launch AI without ever mapping out what it's actually supposed to do. So it tries to do everything (and fails), or it does nothing at all.

It’s important to remember that support automation isn’t “set it and forget it.” It needs to know its playing field and boundaries.

How to fix it:

AI should handle

AI should escalate to a human

Order tracking (“Where’s my package?”)

Upset, frustrated, or emotional customers

Return and refund policy questions

Billing problems or refund exceptions

Store hours, shipping rates, and FAQs

Technical product or troubleshooting issues

Simple product questions

Complex or edge‑case product questions

Password resets

Multi‑part or multi‑issue requests

Pre‑sale questions with clear, binary answers

Anything where a wrong answer risks churn

How to set up AI that actually works

Once you’ve addressed the obvious issues, it’s important to build a setup that works reliably. These best practices will help your AI deliver consistently helpful support.

1. Define clear AI boundaries

Start by deciding what AI should and shouldn’t handle. Let it take care of repetitive tasks like order tracking, return policies, and product questions. Anything complex or emotionally sensitive should go straight to your team.

2. Train it using real customer conversations

Use examples from actual tickets and messages your team handles every day. Help center articles are a good start, but real interactions are what help AI learn how customers actually ask questions.

3. Set up fallback triggers

Create rules that tell your AI when to escalate. These might include customer frustration, low confidence in the answer, or specific phrases like “talk to a person.” The goal is to avoid infinite loops and to hand things off before the experience breaks down.

4. Make sure agents receive full context

When a handoff happens, your agents should see everything the AI did. That includes the full conversation, relevant customer data, and any actions it has already attempted. This helps your team respond quickly and avoid repeating what the customer just went through. 

An easy way to keep order history, customer data, and conversation history in one place is by using a conversational commerce tool like Gorgias.

5. Keep tone and voice consistent

A jarring shift in tone between AI and agent makes the experience feel disconnected. Align aspects such as formality, punctuation, and language style so the transition from AI to human feels natural.

6. Review handoffs regularly

Look at recent escalations each week. Identify where the AI struggled or handed off too early or too late. Use those insights to improve training, adjust boundaries, and strengthen your automation flows.

If your AI chatbot isn’t working the way you expected, it’s probably not because the technology is broken. It’s because it hasn’t been given the right rules.

AI that works your way and knows when to escalate

When you set AI up with clear responsibilities, it becomes a powerful extension of your team.

Want to see what it looks like when AI is set up the right way?

Try Gorgias AI Agent. It’s conversational AI built with smart automation, clean escalations, and ecommerce data in its core — so your customers get faster answers and your agents stay focused.

Get started with Gorgias AI Agent →

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

Further reading

The Gems of Learning with TJ Balo

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

TJ’s Top Advice: 

  • As a leader, foster openness and creativity by encouraging team members to regularly share their ideas.
  • Tell your customers when you update a product. Including them in the conversation can build trust and bring about valuable feedback.
  • Treat your customers as your stakeholders. They are the driving force behind your brand and deserve to have their voices heard.
  • Leadership entails continuous learning from your team, customers, and the industry at large.

Everybody wants to skip to the answers, but for TJ Balo, there is more joy to be found in the learning. Since 2014, TJ has been the Head of Customer Relations and Marketing at Andrea Iyamah, a fashion line founded in 2011 by Nigerian designer Andrea Dumebi Iyamah. From Toronto, TJ leads a group of customer service reps from around the world, including New York and Nigeria, teaching them the ins and outs of customer service operations, logistics, and lingo.

Encouraging out-of-the-box ideas

Brainstorming is one of the most exciting parts of the job for TJ, who’s always finding ways to improve the customer experience. When his team gets together, there is no wrong answer. TJ encourages his staff to think outside the box. Whether it’s a bold social media marketing play or a never-before-done collection, he wants to hear it all.

“I always want them to bring new concepts and ideas to the table. I think that for success, it's not about the implementation. It's about what you’re thinking,” he says. 

The vulnerability to share out-of-the-box ideas allows his team to create a playground where creativity is the only goal. It’s where every idea has a chance to shine when the time is right, whether it’s in a month or in the next year. All TJ asks is for every person to be fearless and confident: “Let your presence be known. The minute I can identify you, that's when I know that you're doing something right and I'm doing something right.”

The TIBARA Kaftan Dress in Lime from Andrea Iyamah
         

Including customers in the conversation

Online businesses, especially fashion brands, are no strangers to the challenge of meeting customer expectations. Sometimes colors don’t appear the same way on a screen as they do in person. Other times, sizes may run a smidge too loose or snug. Regardless of the issue, “it’s about consistent communication first,” TJ says. 

How can you show up for the customer and show them they matter? For TJ’s team, customer satisfaction is their guiding light. They always remember to throw in an incentive for customers, whether it’s a refund, discount, or replacement.  

‎TJ pays the same heed to internal feedback. His team’s opinion takes precedence before a product is released. They answer questions like, “What’s missing?” “Does it translate well to different body types?” People naturally gravitate towards good products, and TJ wants to hit that mark as closely as possible the first time around.

When mishaps occur, broadcasting the solution to their customer base is imperative. “I think that that's one step a lot of fashion and retail brands miss. They take the feedback in, and they come out with a new or better product, but the customer doesn't know because they don't communicate that message to them to say, ‘We took this in from you, we have this new version out, come and try it again,” he says. 

Treating customers as stakeholders

The AZO Mini Dress in Tangerine from Andrea Iyamah
         

Peruse Andrea Iyamah’s Pinterest and their inspirations draw from a cornucopia of African cultures, stories, and experiences. Traditional details can be found in every piece, from a modern sleeveless dress in the recognizable silhouette of a Kaftan to jumpsuits adorned with sculptural pleats similar to those found on a Gele. The room to innovate is boundless, especially with their Treasures.

Treasures, the term of endearment for their customers, are the backbone of Andrea Iyamah. Without the support and feedback of their Treasures, the brand would not have crossed international borders, dressing icons like Michelle Obama, Gabrielle Union, Ciara, and Kate Hudson.

‎“We treat our customers as our stakeholders. We believe they’re the driving force of the brand and its vision, hence our goal to make them feel valued and appreciated,” TJ emphasizes.

On Instagram, they spotlight their Treasures’ voices with Instagram carousels of rave reviews on Twitter. One Treasure confidently states, “Andrea Iyamah never misses… I swear.”

“You have to take in every single detail. That is where the brand meets the stakeholder. That's where they both come together. I never give credit to just either or. They both come together to create and to curate this amazing masterpiece.” —TJ Balo on handling custom orders

Continuous learning is vital to leadership

For a business that’s been operating for over a decade, you could say Andrea Iyamah has accomplished everything. But for TJ, the learning never stops. “Research and ensuring that you're actually taking in that research is the genesis of staying on the cutting edge.” 

He recognizes that they aren’t the first to do it in their industry, that there are countless other companies making great strides. Nonetheless, he wants to be the best to do it. “As we grow, as a business, as a brand, as a company, even just as a team generally, I want to be a reflection of what I would like from my team. You can never know it all. Continuous learning is also leadership.”

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There’s More to Chat Than You Think: Debunking 5 Chat Myths

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

Customers who use chat support are 2.8 times more likely to convert than those who don’t. Despite its proven impact, misconceptions around chat’s limited scope — reducing it to only live interactions — persist, creating a missed opportunity for the online stores that could benefit from it the most. 

The reality is chat is a versatile tool that can adjust to company needs, whether it’s a self-service tool that runs on its own, a channel for providing live support, or both.

For ecommerce businesses on the fence about incorporating chat into their customer service operations, we're here to clear up five of the most common myths about chat’s functions, costs, and benefits. After that, we’ll lay out a five-step guide to efficiently set up chat so you can start delighting customers now. 

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What’s the difference between Live Chat and Chat?

Live chat is real-time communication that allows customers to interact with a customer service representative instantly. It's the digital equivalent of walking into a store and speaking directly with an employee.

On the other hand, chat is more than just live interactions; it includes automated responses that ensure customers receive support, even without agents. This hybrid approach allows businesses to deliver 24/7 customer support.

Chat solutions, like Gorgias Chat, blend live chat's on-demand nature with automation and AI. Chat allows businesses to provide support regardless of time zone and staff availability.

‎Five chat myths debunked

Confusion about what chat can do often discourages businesses from leveraging the powerful customer service tool. Below, we’ll be myth-busting five common misconceptions about chat to reveal its true potential.

Myth 1: Chat is expensive

Contrary to popular belief, chat can be a cost-effective solution to operate customer service. Brands can earn 10x more revenue by implementing chat and, in turn, operate a smaller support team. Support agents can be costly, so using chat to deflect tickets can be a quick way to optimize both time and budget.

Ron Shah quote

Myth 2: Chat is only for big companies

Chat's usefulness transcends business size and breaks down silos in customer service by allowing customers to get answers on their own time. As a customer service tool, any business engaging with customers can benefit greatly from it to tackle pre-sales questions and resolve issues efficiently.

Myth 3: Chat requires staff to operate

As previously mentioned, chat can handle both live and automated interactions, which means no agents are required to manage it. Online stores can set up chat on their websites, allowing it to run 24/7. Businesses can decide whether to enable live chat or keep it fully automated.

RipSkirt uses Chat to intake offline chat messages.
Chat can intake offline messages and operate 24/7 without agents.

Related: Customer service outsourcing: why, when, and how

Myth 4: Chat increases your tickets

Due to automation-based conversations in chat, ticket volume does not necessarily increase when customers use chat. A ticket is only created when a customer converses with a live agent. Unlike using social media as a support channel, chat empowers customers to self-serve and resolve issues on their own.

A customer gets their issue resolved by a chatbot.
Chat can resolve customer issues in seconds, preventing the need for customers to create more tickets.

Myth 5: Chat decreases customer satisfaction

Contrary to popular belief, chat has a positive impact on customer satisfaction. Based on Gorgias data, brands experienced a 1% increase in CSAT when using automation, including chat. The improved satisfaction can be attributed to the efficiency of automated answers and the absence of wait times.

Companies that used Gorgias Automate experienced a 1% increase in CSAT score
According to Gorgias data, customer satisfaction increases by 1% when customer service automation is used.

Myth 6: Email is just as good as chat

While email remains a staple, chat offers immediate engagement in the shopping flow that can create opportunities for upselling. For example, an on-site campaign toolkit like Gorgias Convert becomes a seamless extension of your sales and support strategy with the ability to recommend products within chat. 

Since chat simplifies the process of reaching out, it is also easier for companies to build trust with their customers. The fewer hurdles customers have to jump over to get an answer, the more readily they will trust your brand.

Chat is a more accessible support channel than email

Read more: You’re doing it wrong: better ways to use email as a customer service channel

The best Chat setup in 4 easy steps

Now that you know chat isn’t expensive and can give you a great return on investment, you can start making the most of it. Here’s the optimal way to set up chat in four, simple steps.

1. Customize your chatbot avatar

A study from the University of Göttingen found that customers value clarity on whether they're conversing with a bot or a human agent. Their satisfaction did not dwindle when issues went unresolved, knowing they were interacting with a chatbot.

You can add “Bot” to your chat name on Gorgias whenever automated messages are sent. Enabling this improves the customer experience by letting them know exactly who they are talking to.

In addition, customizing your chatbot avatar to your company logo instead of leaving it as the default robot avatar adds a personal touch. If live chat is enabled, uploading individual profile photos for your agents will help customers feel more comfortable since they’re able to associate a face with the agent they’re talking to.

2. Set up Quick Responses to answer frequently asked questions

Frequently asked questions can quickly dominate your inbox, but with Quick Responses, you can offer fully automated answers. This allows you to provide customer service on an international scale without worrying about increasing agent workload.

Gorgias Automate upgrades your customer experience with an entire automation toolkit that includes Quick Responses in Chat. You can display up to six Quick Responses at a time, providing customers with immediate answers to their questions.

RipSkirt uses Quick Responses to answer customers even when their support team is offline.

3. Set live chat hours

While many assume live chat needs to be available for extended hours, the truth is that live chat hours can be tailored to what suits your brand best, even if that's just one hour a day. The key is to clearly communicate when an agent will respond to customers outside of these hours. 

Customers prefer live chat because of the lack of wait times, so if you’re offering live chat, be sure your agents meet customer expectations by answering chat conversations in 30 seconds. Strengthening customer relationships is crucial to building trust and, therefore, increasing your ecommerce retention rate. On Gorgias, setting your business hours will directly update how Chat appears to customers.

Bokksu uses Gorgias Automate to provide Quick Responses, Order Management, and live chat
When support agents are online, a green icon will appear next to their avatars on Gorgias Chat.

4. Build a Help Center to provide Article Recommendations in Chat

A help center is a database of articles that range from frequently asked questions and guides to video tutorials and policies. On Gorgias, Chat can use your Help Center articles to enrich automated answers with detailed information. For instance, fashion and apparel stores can create a sizing guide article, which Chat can then reference, guiding customers directly to the information they need. 

Article Recommendations in Chat
Gorgias Chat provides article recommendations based on.the contents of your Help Center.

Accomplish the work of 3 agents with Gorgias Automate

Gorgias Automate enabled luxury luggage company July to handle the equivalent workload of three extra agents. With tools like Chat, July went from handling repetitive queries to focusing on more significant customer issues. This significant change enhanced their support efficiency and customer satisfaction. 

Want to become a success story? Discover how Gorgias Automate can streamline your support workflow and elevate customer experience. Book a demo today.

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New Data Shows 4 Ways Automation Impacts Customer Service

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

Since ChatGPT was introduced in November 2022, customer service automation has stormed its way into almost every industry, including ecommerce. This leap in technology has paved the way for companies to increase their support efficiency dramatically, as demonstrated by the buy-now-pay-later service Klarna, which recently resolved two-thirds of customer service chats with AI

The business gains arising from automation are evident. Faster and smarter tools mean less time handling mundane tasks and more time improving the customer journey with meaningful conversations, personalized experiences, and seamless upselling opportunities.

At Gorgias, our mission is to elevate customer experiences with automated solutions. To determine the impact, we analyzed data from over 14,000 merchants who use automation compared to those who do not.

Our data revealed a 36% increase in repeat purchases, a 37% reduction in first response time, a 52% reduction in resolution time, a 27% decrease in the ticket-to-order ratio, and a 1% increase in CSAT when automation is used.

These compelling results assert our belief in automation as the next, inevitable step for scaling support teams.

“AI is going to help us transform ourselves into deeper thinkers by taking over simple, standardized functions” —Ron Shah, CEO and Co-founder at Obvi 

The shift in customer service: doing more with less

Before automation, customer service teams scrambled to hire more agents as their customer bases grew. When Black Friday and other peak seasons arrived, hiring more agents was the Band-Aid fix. Today, companies are opting for leaner support teams as automation allows them to do more with less. The benefit? Teams can scale and improve the quality of service without temporarily bringing on new staff.

Automation works like a junior support agent but at a higher efficiency. It can handle frequently asked questions like where is my order? and customize responses according to brand voice. So, as repetitive tasks are handled in the background, agents can focus on more complex tickets, such as product-specific questions or technical issues that require troubleshooting.

“Before, agents had to handle it all. Now, they rarely take a ticket about frequently asked questions. They’re only handling escalations, special product-related questions, and things like that.” —Caela Castillo, Director of Customer Experience, Jaxxon

Automation is redefining customer experiences

The flexibility of automation makes it the ideal tool for personalized customer service. Aside from being a keyboard shortcut or macro, automation can be a hands-off assistant that can engage customers and influence as much as 25% of revenue.

At Gorgias, automation is at the core of our products, powering almost every feature in Helpdesk, Automate, and Convert. It allows merchants to deliver delightful and personalized customer interactions across various channels and touchpoints in the customer journey.

While automation is only one of many factors, we’ve found it to positively impact support performance metrics. Based on our data, merchants who used automation saw clear improvements in repeat purchase rates, response times, resolution times, tickets per order, and CSAT scores.

Automation led to 36% more repeat purchases

Retaining customer loyalty is challenging even when brands launch loyalty programs, as customers are discouraged by the effort required to receive rewards. However, Gorgias data shows that simply using automation can increase repeat purchase rates. Within 28 days, merchants who automated up to 20% of tickets increased their repeat purchase rate by 8 points.

‎Yoga apparel brand Manduka used Gorgias Convert's on-site campaigns to influence customers to purchase multiple products. The campaign convinced shoppers to hit a $100 order total for free shipping by recommending small additional items they may be interested in. Their campaign brought in nearly $12,000, proving that automation can directly affect revenue.

“We want to be able to target our repeat customers who have purchased a lot, and say, ‘Welcome back! Here's a new product that would go wonderfully with the item you bought last time.’ It would be a wonderful translation of the in-person retail experience where staff know what you like, so they can assist you better.” —Jessica Botello, Customer Service Manager at Manduka

Automation accelerated first response time by 37%

First response time cut down by 37% after automating

‎Automated responses resolve tickets in zero seconds and result in faster first response times. On average, merchants using automation respond 37% faster than ones who don’t automate customer service.

Responding to customers as quickly as possible is especially important during busy seasons like Black Friday and Cyber Monday so that revenue-generating questions don’t get pushed to the backlog. The customer experience team at health supplement brand Obvi was able to drive 3x more purchases from support conversations compared to previous years.

Faster response times also mean agents are able to make stronger connections with customers. For Obvi’s CX team, it translated to more time to engage with their vibrant Facebook community:

“Instantly, our CX team had time to prioritize important matters, like being active in our community of 75,000 women instead of sitting answering emails.” —Ron Shah, CEO and Co-founder at Obvi

Customer issues are resolved 52% faster with automation

When customer tickets are automated, resolution times improve dramatically. Merchants using automation resolved tickets 52% faster than those without.

Automation is especially helpful in answering pre-sales questions. High-end luggage retailer July deflected 450 tickets a month immediately after activating Quick Responses, one-click FAQs that live in Chat. Their Head of Operations and CX, Alex Naoumidis, notes that setup was “so easy, with a huge payoff.”

This significant efficiency gain ensures customers are well-educated about their products, leaving agents time to personalize the rest of the customer journey.

Automation decreased ticket-to-order ratio by 27%

As automated responses provide quick solutions to customer issues, customers need to contact support less. Based on our data, brands that automate 10% or more of their tickets see a decrease in billable tickets per order. Brands with little to no automation do not see a significant improvement in the ticket-to-order ratio.

For apparel brand Shinesty, automating more than 10% of tickets greatly decreased the number of tickets per order by 27%. Self-serve tools like interactive conversations called Flows and Article Recommendations enabled customers to solve issues relating to discounts, subscription policies, and returns on their own.

“Automate would be useful for any ecommerce company that needs to lower their ticket counts, or wants to provide a more consistent experience.” —Molly Kerrigan, Senior Director of Retention at Shinesty

30 days of automation allow brands to scale faster

‎Thirty days after setting up automation in Gorgias, brands enjoyed a 1% increase in CSAT score, a 4.51 score compared to 4.46 for non-automating brands. Even though satisfaction only nudged an inch, the positive effects reached support teams, improving agent morale and team alignment.

Molly Kerrigan, Senior Director of Retention at Shinesty, emphasizes the importance of preserving quality customer interactions during growth, "We get a lot of praise from our customers, and they talk highly of our CX team after 1:1 interactions. We can’t lose that as we scale." 

Since Gorgias provides in-depth conversation analytics, CX teams are finally able to see their impact.

“Tracking customer satisfaction scores in Gorgias is a really big help to us. Before, we didn't know if we were doing well or not, but now we can see people like the service we provide. We use the KPI tracking data for internal monthly meetings to review performance and see where we can improve,” says Deja Jefferson, Customer Experience Manager at Topicals.

Clearly, balancing automation with personalization significantly improves the customer journey. Given that customers with positive customer experiences are 2.7 times more likely to do repeat business, the value of automation is unmistakable.

In the future, agents will be AI coaches

AI progress has advanced in a short amount of time. But to remind you, this is only the beginning of what automation and AI can do in customer service. We envision AI as a constant work in progress, meant to intake information until it is capable enough to handle more complex tasks. This means agents will spend more time building strong customer connections and finding ways the business can grow.

Gorgias is at the forefront of this evolution, developing automation and AI-driven solutions like an AI-generated Help Center, an AI Agent, a generative AI assistant that autonomously answers customer questions, and an Interaction Quality Score to measure and report on AI-customer interactions. Gorgias aims to transform how support teams and customers interact with AI, paving the way for more impactful customer experiences on a human scale.

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Boost Your Help Center's Visibility: Proven Strategies to Increase Article Views

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

TL;DR:

  • A Help Center is an article database for customers to get the answers they need without contacting a support team
  • Create relevant Help Center articles by monitoring statistics like customer contact reasons, ticket intents, and CSAT scores
  • Leverage SEO by including relevant keywords and internal links in articles
  • Gorgias Automate can help promote your Help Center articles via on-site article recommendations

The Help Center is more than a database to make the lives of your agents and customers easier. It's also an ingenious way of creating brand awareness. By enhancing your Help Center's visibility, you carve new pathways for shoppers to discover your brand while solidifying your brand's reliability with loyal followers.

This guide delves into practical methods for increasing your article views and turning your Help Center into a dynamic hub with Gorgias. We’ll look at the basics of a Help Center, how to structure it based on statistics and SEO, and how to share it across multiple channels.

What is a Help Center? 

A Help Center is a knowledge database of articles addressing common questions about your products, services, and brand. It empowers customers to find solutions on their own without needing to contact your customer service team. 

A Help Center can include how-to articles, policies, answers to frequently asked questions, and more. Each article can also be supplemented with images, GIFs, and videos to better guide customers toward solutions. 

BrüMate Help Center
BrüMate’s Help Center is made with Gorgias.
         

Two strategies to make your Help Center stand out

Boosting your Help Center's visibility involves two key elements: understanding customer concerns to create relevant content and using SEO to increase article views.

Focusing on your customers' specific needs and questions allows you to provide articles that directly address their concerns. 

Let’s delve into the two strategies you can use with Gorgias.

Strategy 1: Understand customer concerns to create relevant articles

The first step to creating Help Center articles is understanding your customers’ problems. Identifying their concerns ensures your content aligns with what questions need clarification.

Here are five ways to uncover customer concerns with Gorgias Statistics:

1) Monitor Ticket Tags

Tags are labels for categorizing tickets by topic or customer intent. Regularly reviewing tags helps identify common customer inquiries. Generally, the more a tag is used, the greater the need for clarity on that topic. 

On Gorgias, navigate to Statistics -> Ticket Insights -> Tags to see tag usage frequency. This view gives you an overview of popular tags. You can also adjust the view by filtering by app integration, channel, and date range. 

💡 Pro Tip: The most frequently used tags can help inform what articles you should include in your Help Center. Based on the screenshot below, it would be smart to create articles about FAQs and a Price Match policy. 

Tag Statistics
You can view individual Tag statistics on Gorgias.
         

2) View Intent Statistics

Intent Statistics provide valuable insights into why customers contact support. By analyzing these statistics, you can understand the primary reasons behind customer queries. 

On Gorgias, go to Statistics -> Ticket Insights -> Intents to review the usage frequency of different customer intents.

This feature provides a clear bar graph view of customer concerns that are frequently mentioned in messages. You can also change the view using filters such as channel and date range.

Intent Statistics graph
In this example, no replies (cyan) and refund requests (bright red) were the top customer concerns.
         

3) Look into Contact Reasons

Another way to learn about your customers’ concerns is by looking at contact reasons. On Gorgias, Contact Reason is an AI-powered feature that identifies a ticket's contact reason from its message content. Reasons could range from cancellations and refunds to shipment issues and feedback. 

The Contact Reason is conveniently located at the top of each ticket, as shown in the image below.

Contact Reason view on Gorgias

         

4) Analyze low satisfaction scores and read negative feedback

While positive CSAT scores are gratifying, it's the negative feedback that truly helps improve your customer support.

To view Satisfaction scores on Gorgias, navigate to Statistics -> Support Performance -> Satisfaction. This section provides details on surveys sent, response rates, average ratings, and response distribution over three months. 

💡 Pro Tip: For deeper insights into CSAT scores, filter for scores of 3 stars or below. Analyzing lower ratings and their accompanying comments will help you pinpoint the exact topics your Help Center articles should address.

Satisfaction Statistics on Gorgias
Gorgias’s Satisfaction Statistics allows you to filter survey responses by score, channel, tags, and more.
         

5) Create related articles from top-performing articles


         

Checking the performance of your articles can be the key to adding relevant articles to your Help Center while avoiding unnecessary topics.

On Gorgias, you can find individual article performance by going to Statistics -> Help Center -> Performance by articles. Articles are sorted from most viewed to least.

Here’s how to use article performance data to write relevant articles:

  • 📈 Most viewed articles: These articles indicate the topics customers are most concerned about. Consider creating related articles that branch out from these top articles in order to increase information about a certain topic.
  • 📉 Least viewed articles: These articles may be irrelevant to your general customer base, which means you can hold off on writing similar articles. On the other hand, these articles may also not be highly visible on your Help Center. Ensure customers can easily find them.

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Strategy 2: Utilize SEO to increase article views

SEO (Search Engine Optimization) isn't solely for your primary webpages. It's equally crucial for Help Center articles. Using SEO tactics in Help Center articles boosts their online visibility, but most importantly, they allow you to turn visitors into customers.

Here are some effective SEO strategies to apply:

1) Incorporate relevant keywords into articles

Using relevant and related keywords in an article can boost search visibility. Customers won’t always use the same search query, so anticipating their word usage will help capture all types of customers looking for your content.

On Gorgias, you can find out what keywords customers are searching for under Statistics -> Help Center -> Help Center searches

Gorgias Help Center search term statistics
You can view which search terms customers use to find your Help Center articles.
         

Here’s how to leverage search result data:

  • Search terms with results: Use the most popular search terms as a guide for which keywords to include in existing articles.
  • Articles clicked: Sometimes search terms will have zero articles clicked. This may mean users weren’t able to find exactly what they were looking for. Pinpoint the search terms with zero clicks and create articles accordingly.
  • No search results: This is a list of keywords customers search for but don't find relevant articles for. Make sure to use these keywords in existing articles or create new articles for them.

💡 Pro Tip: Don’t forget to incorporate relevant keywords into your article titles, subheadings, and excerpts. There are two benefits to this: they make it easier for customers to quickly scan your content and enhance your brand's discoverability in search engines.

Customize an article
On Gorgias, you can quickly summarize articles in the Excerpt field. Be sure to include relevant keywords here as well.
         

2) Update articles based on article performance

Again, data plays a crucial role in making your support and Help Center the ultimate resources. On Gorgias, the "Performance by articles" section allows you to track how well each article performs. Articles are sorted by view count, ratings, and the dates they were last updated.

Gorgias Help Center article performance statistics
View how well your Help Center articles are performing in Help Center Statistics.
         

Here’s how you can leverage the following types of articles:

  • 📈 Most viewed articles: Feature your top-performing articles front and center in your Help Center to make them visible to customers looking for answers.
  • 👎 Unhelpful articles: Update these articles thumbed down by customers as they may lack detailed and up-to-date information, internal links, and SEO. 
  • ⌛️ Old articles: There may be a relation between poorly performing and outdated articles. Refresh your old articles accordingly.

3) Use internal links

Internal links are hyperlinks that point to other articles in your Help Center, creating a network of related content. This tactic helps to proactively address questions customers might not have considered, effectively reducing the load on your support team. 

Spread the word: share your Help Center articles across multiple platforms

To effectively increase the visibility of your Help Center articles, consider leveraging a variety of communication channels:

  • Customer communications. Embed article links in customer interactions, such as order confirmations or support responses, to provide extra assistance.
  • Email newsletters. Feature links to key articles in your marketing emails and newsletters to notify existing customers about your additional resources.
  • Social media. Share your articles on social media to reach a broader audience and showcase your brand's expertise. You can also share them on forums and online groups to engage with potential customers.

Enhance Help Center performance with Gorgias Automate

Remember, a well-optimized Help Center is a powerful tool in building brand awareness and customer loyalty.

Do more with an AI-powered Help Center with the power of Gorgias Automate. Discover how our advanced tools can streamline your support processes and improve customer satisfaction. Book a demo today.

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We Made Our People Resources Public

By Gorgias People Team
3 min read.
0 min read . By Gorgias People Team

TL;DR:

  • Gorgias is committed to transparency and has made its People Resources public
  • Sharing internal resources sets new industry standards for workplace satisfaction and culture
  • Gorgias's People Resources include manager handbooks, training sessions, salary processes, and more
  • Founders, HR leaders, prospective employees, and job seekers can benefit from Gorgias's People Resources

At Gorgias, we're avid believers in transparency. You'll find us documenting processes diligently, asking for feedback frequently, and addressing concerns openly. This may be surprising and even unconventional to most, but after witnessing its long-term benefits on employee satisfaction and engagement, our team is set on continuing the practice.

As a natural next step in our commitment to openness, we decided to make our People Resources available to everyone. These resources include documents and processes that outline how we operate at Gorgias, including how we approach the compensation process, performance reviews, and more. 

We invite you to delve into our resources, whether you’re a founder or a job seeker.

Why we're sharing our People Resources

Our decision to share our People Resources is driven by a vision that sets new standards for transparency in evolving corporate practices.

How Gorgias benefits

By opening up our resources to the public, Gorgias positions itself as an innovator and thought leader in the industry. Allowing our processes to be read and critiqued by others outside of the company gives way to perspectives we may not have considered.

We view our People Resources as living documents and as we drive discussions about transparent work culture, the opinions and critiques of others will be a constant source of value for us to continue improving our processes.

How other organizations benefit

For other organizations, accessing Gorgias' People Resources serves as a blueprint for building a positive and engaging workplace. By publicizing our processes, we hope to guide companies to create safer and more honest work environments, which in turn will improve employee satisfaction globally.

What's inside Gorgias’s People Resources

Our People Resources encompass a wide range of materials, including documents, processes, and additional resources. Here's what you'll find:

  • Manager handbooks: Comprehensive guides about what a manager is at Gorgias and how they can lead teams with confidence and empathy.
  • Training sessions: Detailed modules for leaders that combine theory and practice with roleplay.
  • Career growth tracks: Clear pathways for personal and professional development within the company.
  • Salary and compensation process: A transparent outline of how we recognize and reward our team members.
  • Team well-being: Resources dedicated to maintaining a healthy and supportive work environment.

Read more: Why we don't increase salaries each year based on performance

Who can benefit from our People Resources?

Our People Resources are designed with a wide audience in mind, ensuring that anyone interested in building a positive team environment can find value. Here's who can benefit:

  • Founders: Learn strategies for building a strong foundation for your team.
  • HR leaders: Gain insights into effective team management, development processes, and how to cultivate a thriving workplace culture.
  • Prospective employees: Meet the team and get a sneak peek into what working with Gorgias is like.
  • Job seekers: Whether you're considering a role with us or elsewhere, our resources can help you understand what to look for in a company's culture and philosophies.

Where to access our People Resources

You can find our public People Resources on Notion.

If you're inspired by what you see and want to join our growing team, we invite you to check out our current job openings.

We look forward to welcoming you to Gorgias, where we will continue building a transparent and innovative workplace.

How To Leverage Automation For More Personalized Customer Interactions

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

TL;DR:

  • Automation can be customized to fit the language, tone, and voice of your brand.
  • Combine automation with ecommerce app integrations to personalize messages at scale.
  • Use a customer helpdesk trained on AI to automate personalized customer service.
  • Disclose when automated messages are used to maintain customer trust.

While there’s a common concern that automation might alienate customers with responses that miss the mark, it turns out that 73% of customers have higher expectations for personalized experiences when advanced tech is involved.

Not only do customers expect automation and AI in customer service, but they also believe that brands should make the most out of them.

Luckily, helpdesk tools like Gorgias have found the right balance between automation, personalization, and human touch. The only thing left for CX agents to do is to use automation strategically.

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Automation is not AI & other automation myths debunked

Automation and AI are distinct, just like live chat versus chatbots. AI, such as ChatGPT, evolves in real-time from interacting with and learning from input data, while automation follows set rules for routine tasks without understanding natural language.

Automation is highly customizable — it won’t spew out an inappropriate sentence unless you tell it to. If you’re still hesitant about automating your support, here are four automation myths debunked below.

Myth 1: Automation produces robotic language

The tone and style of your automated messages are entirely within your control, thanks to the customizable nature of automation. This flexibility ensures that your brand's unique voice shines through, allowing for a tailored approach that aligns with your ecommerce strategy.

If we’re talking about AI, we’ve also come a long way from generic chatbot responses. In fact, a 2019 Stanford University report found that AI computational power doubled every 3.4 months. The result? Humans are only correct 60% of the time when guessing if they’re talking to AI or a real person.

Myth 2: Automation can’t be personalized

In reality, automation is highly adaptable and can incorporate customer data, brand voice, and plenty of dynamic variables to create powerful communications for personalized customer service.

Learn more: How Manduka used personalized, on-site campaigns and earned $70k

Myth 3: Automation can replace human agents

While automation enhances efficiency, it works best in tandem with human insight rather than as a complete replacement for human agents. Customer service thrives when there is a route back to human support.

Myth 4: Customers prefer human agents

Yes, customers appreciate the ease of connecting to a fellow human, but they also value speed — something automation excels at compared to humans.

Learn more: How Luksusbaby boosted 66% first response time with 45% automation

The balancing act of using automation effectively without sacrificing personalization

A customer-centric helpdesk trained on AI is the most effective way to have rapid and authentic customer interactions. A tool like Gorgias enables you to scale your customer service operations by connecting your ecommerce store. Gorgias learns customer conversations and data and automates simple processes like responding to repetitive tickets and refunding orders.

How to use automation the right way to support your customers

To effectively implement customer service automation, always remember to add a human touch to make customers feel comfortable. More importantly, not all customer interactions are suitable for automated responses so automate strategically.

Here are five ways to implement personalized automation with Gorgias, from automating responses to using website chat and creating a help center.

1) Create auto-responses to answer FAQs

Skip the mental work of reading a frequently asked question and thinking of a response. Auto-responses will do both for you in the background while you complete other high-priority tasks.

How to implement:

  • Set up a rule to auto-respond to where is my order? (WISMO) tickets

Note: Manually follow up on complaints or technical issues. Using auto-responses on these sensitive issues may escalate them and cause more customer frustration.

Overview of Gorgias Autoresponders
There are autoresponders for auto-tagging VIP customers, auto-sending tracking emails, article recommendations, and more in Gorgias.
         

2) Route customers to live chat agents or help center articles

AI is excellent at answering simple inquiries, but sometimes customers will ask questions that need a human’s problem-solving skills. Include a route to a live agent to address this. Allowing AI and agents to work in tandem is an effective way to improve customer satisfaction.

How to implement: 

  • Enable live chat support alongside automated, offline chat 
  • Include disclaimers and instructions in your automated responses about how customers can speak to a live agent
  • Include an option to talk to an agent in your interactive voice response (IVR) system

Note: Don’t trick customers into thinking they’re speaking to an agent when they’re speaking to AI. Customers are more likely to trust you when you set clear expectations from the start.

Shinesty uses Gorgias Chat
Shinesty provides live chat alongside automated Quick Responses.
         

3) Use enriched customer data to deliver personalized messages

Make personalization a part of the customer journey to create friendly experiences on a large scale. Without tailored communications, you’ll likely frustrate 76% of your customers due to irrelevant recommendations and marketing campaigns.

How to implement:

  • Include customers’ names in emails, SMS, chat, social media direct messages, and other notifications with a Shopify integration
  • Mention past purchases when providing customers with new recommendations
  • Adjust language in automated emails and email marketing based on customer demographic
Gorgias Chat supports 15 languages.
Gorgias Chat supports 15 languages, including English, French, Spanish, Danish, Swedish, Italian, Dutch, German, Norwegian, Czech, Brazilian Portuguese, Japanese, and Finnish.
         

4) Prioritize VIP customers with automated rules

According to a survey of 3,000 consumers, 56% would repurchase from a retailer that provides personalization. For this reason, create an automated action, also known as a rule, that labels tickets from VIP customers. Prioritizing VIP needs will allow your team to strengthen loyalty and drive repeat purchases.

How to implement: 

  • Identify VIP customers by setting a minimum purchase total or total # of orders
  • Create a rule that identifies tickets from VIP customers based on their customer profile
Gorgias integrates with Yotpo
Quickly find out if your customer is a VIP customer with integrations to Yotpo, Shopify, Big Commerce, and WooCommerce.
         

5) Build a help center to provide article recommendations

The responsiveness of AI depends on the knowledge you feed it. To accelerate automation’s efficiency, provide it with resources from your knowledge base or help center. In 2020, organizations reported a reduction of up to 70% in call, chat, and email inquiries after implementing a chatbot or virtual customer assistant. 

How to implement:

  • Compile a list of customers’ most frequently asked questions using an AI tool or help center statistics
  • Create articles answering each question and upload them into a help center
BrüMate’s Help Center is made with Gorgias
BrüMate’s Help Center is organized into categories so users can easily find answers.
         

Read more: 9 types of customer self-service

Balance automation and the human touch with Gorgias Automate

Setting up automation without the right tools can detract from personalization efforts. Gorgias Automate remedies this by equipping CX teams with features like Autoresponders, self-service Order Management,  Quick Responses in Chat, and Article Recommendations. Elevate customer experiences and grow your customer relationships by booking a demo with Gorgias today.

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The Expert Tips We Learned from the CX All-Star: Episode 1 Webinar

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

Last September, Gorgias hosted CX-All Star: Episode 1, a webinar presented by a superstar panel of customer experience leaders in the DTC industry. From the health and wellness space to the tech sphere, experts Eli Weiss, Amanda Kwasniewicz, Deja Jefferson, and Ren Fuller-Wasserman gathered years of experience and wasted no time sharing their top strategies, tips, and a-ha moments with fellow attendees.

One hour wasn't long enough to reveal all their expert tricks, but it was definitely enough to help fellow CXers rethink their strategy. If you weren't able to attend the event, these were the top four lessons we learned from CX All-Star: Episode 1.

1) Make CX the core of your business if it isn't already

Amanda Kwasniewicz, the VP of Customer Experience at ‎Love Wellness, emphasizes how CX should be the core of any business. "[CX] has a finger on the pulse of everything we do, whether we're just on the receiving end or whether we're executing it."

To emphasize CX's far-reaching impact, Amanda introduced a company-wide policy where every new employee spends six weeks working directly with support tickets and customers. This immersive approach to CX was so successful that non-CX team members, from marketing to finance, were able to help the CX team during a hectic inbox day when Love Wellness migrated platforms.

‎Read more: Why customer service is important, according to a VP of CX

"I think CX is often viewed as a call center, a revenue driver—and we're missing the core part that it's a feedback machine. It's like a feedback treasure trove. So, if you can think about it as all three of those things, that's what it is. It really is about the experience."
—Amanda Kwasniewicz, VP of Customer Experience at Love Wellness

2) The best CX hires are empathetic and eager to learn

"Brands are either notoriously anti-having a big CX team, or they're very straightforward. Either one of those extremes is dangerous," says Eli Weiss, VP of Retention Advocacy at Yotpo. The balance lies in building a team of passionate learners willing to grow.

Our experts agree that product knowledge can be taught through training, but soft skills like empathy, creativity, and passion are intrinsic. Eli notes that asking questions like "Why CX?" helps determine if a candidate will stick around. Amanda notes these team members often become superstar hires for other departments because of the breadth of their knowledge and skills.

Related: Hiring for customer service

“[LinkedIn] is how I've gotten a lot of people early on. I just looked at brands that crush it and said, 'Stay exactly where you are. I just need 2 hours.' Those 2 hours will usually give you what you as a founder can do in six, because somebody that's doing it all day is probably really good at figuring out how to put a move on it.”
—Eli Weiss, VP of Retention Advocacy at Yotpo

3) Acknowledge different learning styles in your onboarding process

"If people can understand and learn the product they're selling and they can educate the customer, I think that's really valuable," says Deja Jefferson, Manager of Customer Insights at skincare brand Topicals. That's why she takes a diverse approach to product knowledge onboarding.

At Topicals, new hires don't only have to pore over lengthy documents to learn about skincare products. They get their hands dirty by speaking to experts in the product team, reading cheat sheets, and talking to customers about personal skin concerns. This multifaceted strategy is inclusive to all types of learners and leads to agents becoming true experts.

Read more: Customer service training: what to cover + how to do it

"People who are passionate about what they're doing and about helping customers [will] figure out the rest."
—Deja Jefferson, Customer Insights Manager at Topicals

4) When necessary, break the script to create mensch moments

Ren Fuller-Wasserman, Head of Customer Experience at bidet brand TUSHY, empowers her team to go above standard protocols to create memorable or, as her team calls it, mensch (Yiddish for a person of integrity) moments. These are exceptional CX moments that can't be found in the onboarding manual, things like sending handwritten notes, personalized texts, and replacing items without question.

However, as with all things, it's also valuable to understand that mistakes happen. Ren likens the trial-and-error nature of customer experience to building a plane as it's being flown — it won't be perfect. She notes that protocols are important guidelines, but it's also worthwhile to allow your team to be mensch and decide, where do I need to follow the protocols here?

"There are incredible opportunities to make moments that matter, but only if your team has the agency to do so."
—Ren Fuller-Wasserman, Head of Customer Experience at TUSHY

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Chatbot vs Live Chat

Chatbot vs. Live Chat Software: What's the Right Solution?

By Lauren Strapagiel
13 min read.
0 min read . By Lauren Strapagiel

Imagine leaving your angriest customers to spar with an automated script in your website’s chat window. Now picture your support team reading “Where is my order?” for the hundredth time and glancing at the clock, only to find six hours left in the workday. 

Who do you think is more frustrated?

Luckily, you won’t have to answer that, because these are completely avoidable problems. Once you learn the important distinctions between chatbot software and live chat software, you’ll understand how to use them both more effectively and lower blood pressures across the board.

Chatbots rely completely on automation and artificial intelligence (AI) while live chat software connects customers with human agents via a real-time chatbox. A third option, self-service chat, is an appealing alternative.

To determine which solution(s) is best for your business, let’s compare chatbots and live chat software and go through the top use cases for each.

What is live chat software?

Live chat support connects customers with human support agents who can answer their questions and assist them with any issues. When a customer opens the chat box on a live chat support solution, they are connected with a real person from the company's customer support department. 

Support agents then use live chat messaging to address customer inquiries and walk customers through the solution to their problem. 

Interested in getting live chat software? Check out one of these lists for tailored recommendations:

Pros and cons of live chat

Pros:

  • Live agents have the knowledge base to answer complex queries and customer issues 
  • 73% of customers state that live chat is the most satisfactory form of customer communication with a company
  • Enables multitasking for support agents so they can assist multiple customers at the same time
  • The personalized touch of a real human can go a long way toward improving your customer satisfaction
  • Support agents can find opportunities to convert visitors or turn support interactions into additional sales 

Cons:

  • Not available after-hours when your customer team is off the clock
  • More expensive to employ agents to respond to chats
  • Responses will be slowed down by high volume which impacts resolution times
  • Much of your agents’ time will be spent answering the same simple questions over and over

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What is the difference between chatbots vs. live chat?

Unlike live chat software, chatbot software doesn’t connect customers with human agents. Instead, chatbot software connects customers with a chatbot that utilizes AI and machine learning to provide natural language answers to common questions. 

Automation assists customers with less complex issues and provides quick answers. Chatbot technology enables companies to reduce their average response time, and frees up support agents to focus on more complex queries.  

Pros and cons of chat bots

Pros:

  • The ability to answer questions 24/7 without paying for agents to work around the clock. According to a survey by Drift, 64% of customers say that 24/7 service is the best feature of chatbots. 
  • Chatbots offer instant responses to common questions like pricing inquiries, improving customer experience with quick resolutions to common issues
  • Chatbot solutions are a highly cost-effective option, as they allow companies to resolve more customer issues without having to hire new customer support reps
  • By answering commonly asked questions and resolving simple issues, chatbot solutions can free up support agents to focus on more complex questions

Cons:

  • Chatbots can’t handle complex inquiries requiring human intervention
  • Automated responses are a colder, less human form of communication, which can impact customer satisfaction
  • No opportunity for agents to elevate an inquiry into an exemplary customer experience, such as offering personalized live chat offers
  • Customers will become frustrated if the chatbot can’t properly answer their questions or solve an issue

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Live chat vs. chatbots: Evaluating their strengths to help you choose the right one (or both)

When comparing chatbots with live chat solutions, it's important to recognize that each category offers its own unique advantages. Many companies choose to employ both live chat and chatbot apps on their ecommerce websites. 

With that in mind, let's explore the strengths of each solution.

Response times and customer expectations 

One of the biggest advantages of chatbot solutions is the fact that they allow for immediate responses to customer inquiries. Live chat solutions can also help companies reduce their wait times, though not to the same degree. 

Chatbot advantage: Answers are immediate

According to data from HubSpot, 90% of customers rate an "immediate" response as important or very important when contacting customer service, with 60% of customers defining "immediate" as 10 minutes or less. 

With a chatbot app, offering immediate response times to customer queries is a much more attainable goal. Best of all, these immediate response times are a 24/7 offering for customers, whereas live chat agents may not always be on the clock. 

Live chat advantage: Solve complex issues

The problem with relying solely on chatbots to reduce customer wait times is the fact that even the best and most intelligent chatbots are often unable to resolve complex issues. Chatbots are excellent at pulling information from internal databases to answer common questions, such as providing the status of a customer's order or editing it.

But for uncommon questions or complex issues, a chatbot alone may not be sufficient. Because they can only handle one thing at a time, it can take forever before you get all of your questions resolved.

Solution: Use both chatbots and live chat

Many companies use chatbots alongside live chat support. This allows businesses to offer both immediate responses, as well as more in-depth support for complex issues. 

For example, a customer may first be connected with a chatbot that provides instant responses to their query and assists with gathering initial information. If the chatbot determines the customer's question or issue is too complex to resolve, the customer is then connected to a support agent via live chat. 

This combination is an ideal solution for many companies, allowing them to quickly resolve common issues without the need for a live chat agent. At the same time, customers have the option to speak with a real person in cases where assistance from a chatbot alone isn’t sufficient. 

Human touch and personalization needs 

While chatbot apps can help reduce customer service wait times and the number of customer service reps needed, many customers prefer speaking with a person. 

Live chat advantage: The human touch

A CGS study found that 86% of customers would rather interact with a human agent than a chatbot. Further, 71% of customers say that they would be less likely to purchase from a brand that did not have real customer service representatives available. 

Chatbot advantage: AI learning

Chatbots have come a long way toward replicating natural language and determining customer intent for better customer engagement. Today, the best chatbot applications can come quite close to sounding like actual human beings. 

Chatbots leverage AI and machine learning to deliver personalized responses, as opposed to only “canned” responses, and can better serve your customers. 

Solution: Use both chatbots and live chat

Even the most advanced chatbots still fall short of a live representative when it comes to delivering a personalized, human touch. They’re also lacking when it comes to handling more complex questions or customer issues. 

Once again, a combination of automation and live chat support is typically the best approach. 

Live chat conversion and sales.

       

Consistency and accuracy

Chatbots and live chat applications have unique advantages when it comes to delivering consistent and accurate responses to customer queries. 

Chatbot advantage: Consistency

Chatbots are excellent at delivering consistent, on-brand messaging. They can be programmed to systematically follow templates or scripts to provide a consistent customer service experience. 

When working with human customer support agents, this high degree of consistency can be a little more difficult to achieve. 

Live chat advantage: Accuracy

While live chat support may not offer the same consistency as chatbots, human support agents do tend to be more accurate when determining the intent of the customer they are assisting. 

For example, a simple spelling error can sometimes confuse chatbots, whereas a human customer support agent would be much more likely to look past the error and correctly figure out what the customer needs. 

A human agent is also much more likely than a chatbot to accurately interpret questions that are worded strangely. 

Solution: Use both chatbots and live chat

For companies that are choosing between chatbots and live chat support, it’s a question of whether they’d like to prioritize consistency or accuracy. This is yet another reason why a combination of chatbots and live chat support is often the best solution.

More chat features to provide self-service support without the bots

Many of the issues your website visitors have with bad chatbots involve their mimicry of support from real people. It’s easy to tell when you’re chatting with a robot, but it’s not always made clear to you by the chat widget.

But there’s a third chat option that you should consider in addition to live chat and chatbot software.

Self-service chat options make it clear to your customers that they are receiving automated help. By presenting menus instead of imitating a human conversation, self-service customer support empowers customers to find the answers they need on their own.

It’s a win-win, because the customers get the answers they need in real time, at any hour. And your team can focus on support tickets that are more important to the business.

Here are a few ways self-service chat options can work.

Self-service order management

Up to 30% of incoming customer service tickets are shipping status requests. With self-service order management in the chat widget, customers are empowered to make these queries on their own — providing fast answers and reducing your support tickets.

These automated options are easy to add with Gorgias. This self-service adds buttons to the chat widget to automatically:

  • Track an order
  • Return an order
  • Cancel an order

Quick service with chat automation provides quick, responsive customer service, which means better customer experience and a positive impact on revenue.

Barcelona-based shoe brand ALOHAS added self-service order management flows with Gorgias after experiencing a high chat volume. This allowed customers to find information on their own without a human needing to respond.

Here’s how a “track order” request looks in action:

Order management in live chat.
ALOHAS
         

Quick answer flows

When using a chat widget, you’ll notice the same questions come up again and again. You can satisfy those FAQs by adding quick answer flows into the chat widget.

These automations can be set up in the widget for questions like:

  • What is your shipping policy?
  • Are there any discounts available?
  • Do you have any new products?
  • What materials do you use?

These automations can be customized for whatever FAQs are most relevant to your ecommerce store.

Here’s how it looks, for example, when an ALOHAS customer wants to find out more about the brand’s shipping policy.

Quick Response Flows in chat widget.

         

Luxury jewelry brand Jaxxon has used these self-service quick responses with great success. The customer service team found themselves overwhelmed with customer questions and unable to respond as quickly as desired.

Jaxxon upgraded their live chat widget with Gorgias Automate with Quick Responses for customers. The result, combined with using Gorgias’ helpdesk, reduced live chat volume by 17% and lifted the on-site conversion rate by 6%.

Self-service in chat.
Jaxxon
         

Autoresponders

Even when a customer chooses to type out a question, automation can be used to provide quick, customized service through the chat widget.

Gorgias can detect questions that come in through chat and provide automatic answers using Rules and Macros.

Here’s how the flow works:

  1. Intact detection scans the incoming message.
  2. Rules is triggered when a relevant message is found (such as some asking about where their order us) is responds to the customer.
  3. Macros is where you create the templated response sent to the customer. The Macro can be set up to pull in a customer’s unique information like order number, their name, and their tracking code.

The best part is this can not only be used for chat, but for responses to tickets coming in through other communication channels like email, social media, and SMS.

Keep customer service running 24/7

With Gorgias, you can make sure your chat widget isn’t missing a single ticket, even if your customer support team is offline.

First, you can set up your business hours to correspond with when you have live chat available. This will show up on your site’s chat widget by either showing the current status as online or offline.

From there, you can create automated responses for whether you’re offline or online. During business hours, this message can tell customers you’ve received their request and give a time by which they can expect a response.

After business hours, the responder can tell customers that although you’re offline, they can expect a response during the next day’s business hours via email.

Offline mode in live chat for follow-ups.
Absolute Collagen
         

You can also use a contact form which turns a chat into an emailed ticket. This is great to use after-hours and to make sure chat requests don’t get lost overnight. 

Combine automation and human interaction for the strongest customer experience

The use of automation within customer service is multifaceted. As we discussed earlier, a human touch is critical for many customers, and speaking with an automated chatbot can be a turn-off. However, automation certainly has its place in the customer service process.

On the customer’s side, starting with self-service chat helps them receive quicker customer support at scale — a more satisfying experience. On your team’s side, automation allows for sorting, segmenting, and prioritizing tickets.

When self-service chat can’t solve an issue, someone from your support team can easily step into the conversation. You can use Macros — scripts that automatically bring in the customer’s information — to scale the human touch on your support team.

So in reality, it’s not automation vs human support. These are two complementary tools that work better together. And the result is a stronger and faster customer experience for your website visitors, which can increase your conversion rate by as much as 12%.

Still not convinced? In 2021, brands using the Gorgias chat widget generated an average of $38,702 from conversations involving chat. We have a whole post on live chat statistics that can help illustrate the impact our chat widget can have on your business.

Gorgias brings intuitive live chat to your ecommerce business, alongside your other channels

If you’re an ecommerce business looking for an all-in-one customer support solution that includes live chat support and AI-powered chatbots, Gorgias is your one-stop shop. 

Our algorithms are trained on hundreds of millions of ecommerce tickets, so you can be sure your customers are getting the right responses every time. 

Plus, you can manage both live chat and chatbot conversations in the same dashboard that you use for all your other channels, including phone, email and major social media platforms. Bring in chat from other channels, including Facebook Messenger. We’ll even be supporting Whatsapp in early 2023.

Our customer support platform is available for Magento, Shopify, and BigCommerce users.

Read more about our chat offerings by clicking here.

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