THE CHALLENGE
Bella Coterie sells premium bamboo viscose sheets for hot sleepers on Shopify. They spend heavily on Meta ads, driving 7,000 monthly sessions. They constantly test their ad campaigns: new hooks, different benefits, varied angles.
But their product pages weren't being tested at all. Traditional A/B testing doesn’t make sense, the investment-to-result ratio didn't work at their scale because of the expertise, development resources, and traffic required.
There was another problem: every ad campaign landed on the same generic product page. Someone clicking a "cooling sheets for summer" ad saw the identical page as someone clicking an "eco-friendly bamboo" ad. The message broke the moment they clicked through.
THE SOLUTION
Bella Coterie implemented Dalton in June 2025. Setup took an afternoon. What happened next would have been impossible with traditional testing.
AI generates the variants, you approve what ships
Instead of manually inventing and developing test variations, Dalton's AI generated multiple on-brand options for each element:
- Product title variations emphasizing different benefits
- CTA copy testing urgency vs. value messaging
- Trust badge configurations and placement options
- Social proof and review highlight variations
- Urgency alert positioning and copy
Ray reviewed and approved variants in-platform. The ones that felt off-brand didn't ship. The ones that looked promising went live immediately.
"Think of it like having a CRO team generate ideas overnight, then you pick the best ones in the morning. Except it happens continuously," Ray explains.
Multi-armed bandit testing = results in days, not months
Here's where Dalton breaks the traditional model:
- All 20+ experiments run simultaneously from day one
- The system learns from every visitor, automatically sending more traffic to winning variants
- No waiting 6-8 weeks for statistical significance on individual tests
- Wins compound as better-performing variations get more exposure
At 7,000 monthly sessions, this approach delivered meaningful results within weeks. Traditional A/B testing would still be waiting for the first test to conclude.
Ad-to-page personalization, automatically
Dalton also read their Meta campaigns and generated personalized landing page variations:
- "Cooling sheets" ad → Hero emphasizes temperature regulation
- "Chemical-free" ad → Hero highlights that it is paraben-free
- "Eco-friendly bamboo" ad → Hero showcases sustainability
Same URL, different experience based on which ad the visitor clicked. No manual landing page building required.
THE RESULTS
Three months in:
- Conversion rate: 8.8% → 9.6% (+9.8%)
- 67 additional monthly conversions
- €84,000 additional annual revenue
- Zero developer hours spent
"Before Dalton, CRO was just not realistic or worth our time and money. Now it's just part of how the site works. We approve variants, the system tests and learns, conversions improve. That's the breakthrough for teams like ours."
— Ray Lopez, Head of Growth at Bella Coterie