The Conversion Intelligence Blog
Working notes on DTC collection page strategy, conversion rate versus revenue per session debates, product ranking models, and what the clickstream actually tells you. Written by the Cartlyzer team.
Latest articles
The Attribution Gap: Why First-Session Buyers Are Your Most Misunderstood Customers
Most DTC analytics platforms credit last-click attribution to returning visitors. But first-session converters are routinely undervalued in your merchandising model. Here's how to fix that.
What We Learned Running 40 Hero Banner Tests on DTC Collection Pages
Hero banner CTR is the wrong metric. After 40 A/B tests, the single most predictive metric was time-to-first-product-tap.
Why Your Top Sellers Are Not Always Your Top Converters
Sorting by units sold sounds logical. It's not. Static bestseller lists cost you when visitor intent doesn't match catalog rank.
Real-Time Signals That Actually Predict Purchase: A Practical Ranking
Hover time beats scroll depth. Add-to-cart beats wishlist. Here is our signal hierarchy based on eight months of live inference data.
How DTC Brands Should Rethink PDP Strategy for Seasonal Peaks
Holiday peaks create very different visitor intent profiles. Here is how to adapt your PDP hierarchy without a full site redesign.
Shopify Plus Storefront Optimization: The Levers Most Brands Have Not Pulled
Most brands use less than 30% of Shopify Plus levers for merchandising. Here is the priority order for brands scaling from $5M to $20M GMV.
Personalization Without Third-Party Cookies: What DTC Brands Actually Have to Work With
The death of third-party cookies shifted what data is worth collecting. First-party session signals can do what cookies never could.
Abandoned Cart vs. Abandoned Browse: Why You Should Care More About the Second One
Abandoned cart recovery is solved. What most DTC brands don't recover from is browse abandonment: the visitor who spent four minutes on your collection page and left without clicking a product.
Product Ranking Algorithms Explained: Rule-Based vs. ML-Based vs. Hybrid
Understanding three ranking approaches tells you exactly when to use rules, when to let a model decide, and when a hybrid gives you the best of both.
Conversion Rate Is the Wrong Primary Metric. Use Revenue Per Visitor Instead.
A 4% conversion rate sounds good until your average order value drops 30% because the model optimized for easy conversions. Revenue per visitor surfaces this.
Five Merchandising Mistakes DTC Brands Make When They Hit $2M in Annual Revenue
At $2M ARR, DTC brands typically hire their first dedicated merchandising person. That hire walks into a system that was never built for them.
Can You Predict an Add-to-Cart Before the Shopper Scrolls? Yes. Here Is How.
Within the first 8 seconds of a session, enough behavioral signal exists to predict which product categories have the highest conversion probability. This is what the data looks like.