How Rituals Lifted Conversions 85% with AI Search

Why is the best AI search investment one that lifts conversions and lowers acquisition cost at the same time? Because efficiency and growth usually pull against each other — and an approach that improves both is rare. Rituals, the Dutch wellness brand, found exactly that with machine-learning-based search and targeting.

The result: Rituals achieved an 85% increase in conversions and a 15% decrease in cost-per-acquisition after implementing machine-learning-based search and targeting.

Converting better and acquiring cheaper, together#

Most growth tactics improve one metric at a cost to another: spend more to acquire more, or convert better but plateau on reach. Rituals used machine learning to do both — predicting which shoppers were most likely to convert and tailoring search and targeting to them. Better targeting meant more of the right shoppers found relevant products (conversions up 85%), and reaching them more efficiently meant lower acquisition cost (CPA down 15%).

That combination is the holy grail: growth that gets cheaper as it scales, because the system gets smarter about who to reach and what to show them.

How AI search works#

AI search interprets intent and ranks results by relevance and likelihood to convert, personalized to each shopper. Paired with smart targeting, it focuses effort on high-probability shoppers.

Three mechanics drive Rituals’ result. The engine predicts conversion likelihood, focusing on shoppers most ready to buy. It personalizes search and discovery, surfacing relevant products for each. And it improves efficiency, so acquisition spend reaches the right audiences and converts.

Why predicting intent improves efficiency#

The insight is that knowing who’s likely to convert makes everything more efficient. When the system identifies high-intent shoppers and tailors search and targeting to them, you stop wasting impressions and effort on poor fits. Conversions rise because the right people see the right products; CPA falls because budget isn’t spent on shoppers who’d never buy. Intent prediction is what lets growth and efficiency move together instead of against each other.

What this means for your store#

Any store can apply intent-aware search and targeting:

Use machine learning to predict which shoppers are most likely to convert.
Personalize search and discovery to focus on high-intent shoppers.
Measure conversions and acquisition efficiency — the best systems improve both.

Growth and efficiency don’t have to trade off. Predicting intent is how you improve both at once.

Bring AI search to your store with CartAmplify#

CartAmplify brings intent-aware, personalized AI search to any store — Shopify, dropshipping, or marketplace. The same approach that lifted Rituals’ conversions 85% while cutting CPA 15%.

Try CartAmplify free →

Figures cited from publicly reported Rituals / Google Marketing Platform results. Results vary by catalog, traffic, and implementation.