How a spa chain generated $66K and 450 leads with AI
Bella Santé, a Boston med spa with 200+ staff, automated 75% of customer support and generated $66,000+ in chatbot-assisted revenue within 6 months.
Quick answer
Bella Santé, a 200+ staff Boston med spa, automated 75% of customer support with AI, collected 450+ leads, and generated $66,000+ in chatbot-assisted revenue in 6 months, all without replacing their call centre.
Bella Santé has been running luxury spa and med spa services in the Greater Boston area since 1996. They're one of the most awarded day spas in the region. After decades in business, they had a problem that every growing service business eventually hits: the phone wouldn't stop ringing.
Their call centre was overwhelmed. Peak periods, staff shortages, and a growing number of customers who just wanted a quick answer without sitting on hold. The team couldn't scale phone support fast enough to match demand.
The problem with phone-first support
Service businesses like spas, dental practices, and salons share a common pattern: most incoming queries are simple. "What time do you close?" "Do you offer couples massages?" "Can I reschedule my appointment?"
These questions have definitive answers that don't need a human to deliver. But when they come via phone, each one ties up a staff member for 2-5 minutes. Multiply that by dozens of calls per day, and your team is spending hours answering questions that could be on the website.
The challenge is that customers don't want to hunt through a website. They want an answer, right now. That's where AI chat fits perfectly.
What Bella Santé built
Rather than replacing their call centre (a common mistake), Bella Santé added AI as a first layer. Customers visiting the website interact with the AI chatbot first. It handles routine questions instantly. Complex queries, complaints, or high-value booking conversations get handed to human agents.
The AI was trained on hundreds of questions pulled from their existing FAQ pages, plus custom Q&A pairs added by the team. Over time, it continued learning from real conversations.
Three systems working together:
1. Automated FAQ and service inquiries. The AI answers questions about treatments, pricing, opening hours, and policies. 75% of all inquiries are resolved without a human.
2. AI Shopping Assistant. This is the clever part. The AI recommends treatments and packages based on what page the visitor is browsing. Someone looking at facials gets facial package suggestions. Someone on the massage page gets spa day bundles. It understands context and intent.
3. Pre-chat lead capture. Before starting a conversation, visitors enter their name and email. Simple, but effective: 450+ leads in 6 months.
The numbers
| Metric | Result | |---|---| | Customer inquiries automated | 75% | | New leads generated | 450+ in 6 months | | Chatbot-assisted revenue | $66,000+ |
The $66,000 in revenue came from bookings where the AI played a role in the customer's journey: answering a pre-booking question, recommending a package, or guiding someone through the service options.
Why "layered on top" matters
The most important decision Bella Santé made wasn't choosing AI. It was choosing not to replace their call centre with AI.
Plenty of businesses make the mistake of treating AI as a replacement for human support. For a spa, that would be a disaster. Customers booking a £200 facial or a medical aesthetic treatment want to talk to a person when they have concerns. They want empathy, not a chatbot.
Bella Santé's approach works because the AI handles the information-seeking phase (75% of queries) and humans handle the trust-building phase (the remaining 25%). The call centre team isn't gone. They're just not wasting time telling people the opening hours.
The holiday season test
The real test came during the holiday season, when website traffic spikes and gift purchases surge. The AI Shopping Assistant linked to product pages with images and descriptions, guiding gift buyers toward the right packages.
"I think that linking to the product page but also adding an image and text helped us exponentially during the holiday season. We have really strong website traffic, so it's really building off of that. I do think that the AI contributed a lot to our holiday sales." — Jackelyn Dacanay, Marketing Director
Source: Tidio case study
Key Takeaways
- 75% of inquiries automated without replacing the call centre.
- $66,000+ in chatbot-assisted revenue in 6 months.
- 450+ leads from a simple pre-chat email capture.
- AI Shopping Assistant recommends packages based on browsing context.
- Layer AI on top of human support, don't replace it.
Running a service business with the same problem?
If your phone lines are constantly busy with repetitive questions, or your team is spending hours on queries that have straightforward answers, AI chat can handle that first layer. I build AI customer support systems that work alongside your existing team, not instead of them. Let's talk about your situation.
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