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- 📈 How Tushy Boosted Sales 85% Without Hiring a Single Rep
📈 How Tushy Boosted Sales 85% Without Hiring a Single Rep
Scaling with fewer humans and higher sales. Here's what the next wave of customer experience looks like.
Hey everyone,
Welcome back for another bite to chew on.
Picture this: It's Black Friday week. Your customer service team is drowning in tickets. You're scrambling to hire seasonal help, knowing you'll have to let most of them go in January.
But what if we told you there's a better way?
We recently sat down with Ren Fuller-Wasserman from Tushy and Alex Plugaru from Gorgias to talk about how AI is transforming customer experience.
Ren went over how Tushy just had their most successful holiday season ever, and with fewer people than the year before.
No seasonal hiring. No training new reps in July.
Just a 17-second first response time during peak traffic.
Here's how AI completely transformed their customer experience (and why it's working better than anyone expected).
🍽️ On the Menu:
The 85% Sales Boost Nobody Saw Coming
Why AI Sells Better Than Humans
The Implementation Playbook
Skeptics Guide To Getting Started
Want the full conversation? This is just a taste of what Ren and Alex shared.
Listen to the complete episode for even more insights on AI implementation, team management, and the future of customer experience:
Or listen on:
The 85% Sales Boost Nobody Saw Coming
Let's start with a crazy number: AI agents are converting 85% more sales than human agents at Tushy.
Not just handling tickets faster. Not just reducing costs.
Actually driving more revenue.
Here's why this is happening →
The Awkward Human Problem
As Ren puts it:
"It's awkward for humans to be talking about hemorrhoids and then be like 'And would you like to buy a 36-pack of toilet paper?' That's not how humans communicate."
But AI doesn't get awkward.
It smoothly transitions from education to selling without the social friction that holds back human agents.
The 24/7 Opportunity
Your website visitors don't work 9-to-5. They're browsing at midnight, making decisions on weekends, and asking questions when your team is asleep.
Alex from Gorgias (the platform Tushy uses) sees this across 15,000+ merchants:
"If you're paying dollars to get visitors to your website and your team isn't there to respond immediately, you're probably losing conversions."
The Trust Factor
Here's the counterintuitive part: customers are more comfortable asking AI certain questions. They know it's a bot, so they'll ask about sensitive topics they might feel judged for with a human.
This creates better data collection and more personalized responses.
💡 Quick Takeaway: Look at your support tickets from the last month.
Look beyond the basic questions (but definitely automate those too) and consider where a bot interaction might actually be better (quicker, easier, less, um, embarrassing) than a human interaction.
Why AI Sells Better Than Humans
The biggest insight from our conversation was that AI and human agents excel at different parts of the customer journey.
Where AI Dominates:
Immediate response (17 seconds vs hours)
Consistent product education without fatigue
Seamless sales transitions • 24/7 availability
No judgment on sensitive questions
Where Humans Win:
Complex problem-solving
Empathy for unique situations
Relationship building
Handling edge cases
The magic happens when you let each handle what they do best.
The Tushy Strategy
Instead of replacing humans, they repositioned them →
AI handles: Basic FAQ, product education, initial sales conversations
Humans handle: Returns, complex installs, relationship building
That lets human agents focus on high-value interactions while AI handles the volume.
💡 Quick Takeaway: Don't think “replacement”, think “repositioning”.
Map out your current support workflow and identify which tasks drain your team's energy without adding real value. Those are your AI candidates.
The AI Implementation Playbook
Based on what we learned from both Tushy and Gorgias, here's how to implement this without breaking things:
Phase 1: Start With the Obvious Stuff
"Where's my order?" tickets
Basic product questions
Simple FAQ responses
For many brands, this covers 60-70% of support tickets and gives immediate ROI while you learn the system.
Phase 2: Set Up Smart Guardrails
Create automatic escalation rules for other categories:
Health-related concerns or side effects
Angry customers (sentiment analysis)
Complex technical issues
Refund requests over certain amounts
Phase 3: Sales Integration
Once customer service is dialed in, layer in sales functionality:
Product recommendations based on customer questions
Upselling complementary products
Converting pre-purchase inquiries
Team Buy-In Strategy
Ren's approach worked because she positioned AI as elevation, not replacement:
"AI isn't coming for your job. It's going to help you do your job better. If your goal is to be an email responder, this isn't your place anymore. I want you focusing on the stuff that actually matters."
Measuring Success Beyond Cost Savings
Don't just track cost reduction.
Monitor:
Conversion rate on pre-purchase inquiries
Response time improvements
Customer satisfaction scores
Revenue attribution from AI interactions
💡 Quick Takeaway: Set up tracking from day one.
Create UTM parameters or tags for AI-assisted sales so you can prove ROI.
Many brands implement AI and then struggle to show the business impact because they didn't plan for measurement.
The Skeptic's Guide to Getting Started
We get it. AI feels risky. What if it says the wrong thing or goes off the rails?
Alex's perspective: "Humans hallucinate too. The difference is you can't (immediately) ask a human, 'Hey, why did you write this?' when they make a mistake."
Risk Mitigation Tactics:
Start with low-stakes inquiries
Set up topic-based escalation rules
Review AI responses regularly
Use confidence thresholds for automatic responses
💡 The Reality Check
You're probably already losing conversions by not responding fast enough. The risk of not implementing might be higher than the risk of implementing imperfectly.
Sum It Up
The brands winning with AI customer service aren't replacing their best human agents. They're amplifying them.
That means letting AI handle the routine stuff so people can focus on the conversations that build real relationships and drive growth.
Most importantly, they're not waiting for perfection. They're starting simple, learning fast, and scaling what works.
As Alex put it: "Today is the worst AI is ever going to be. It only gets better from here."
The question isn't whether to implement AI in your customer experience. It's whether you want to learn how to use it now or play catch-up later.
P.S. If you're ready to explore AI for customer service, don't try to boil the ocean. Pick one use case, set it up properly, and prove it works before expanding.
🧰 Operator Toolbox
Gorgias - Our customer service homebase, which allows us to take care of thousands of tickets a month with just a handful of agents. Their range of functions and integrations for Shopify stores is second to none. Upgrade your CX now →
Proxima - Helps us find scalable audiences on Meta, even beyond the typical broad targeting setup. Take their Efficiency guarantee Trial →
Upcounting - Our go-to DTC accounting and bookkeeping agency. No standard services, just brand-focused dashboards and solutions. Get your books in order →
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All the best,
Ron & Ash