JellyBee is a supplement brand with a high repeat purchase rate.
To scale the brand aggressively, their primary landing page needed to convert at a much higher clip. The goal for JellyBee was to acquire as many new users as possible while keeping ROAS the same.
Some brands focus on first-order profitability and some focus on acquiring as many customers as possible. Because of the high repeat purchase rate, JellyBee is the later. JellyBee saw heatmap as the perfect solution to increase performance of their listicle landing page.
After seeing some eye-opening dropoff below the fold, heatmap helped them identify that their above the fold section needed to be optimized.
heatmapAI, the CRO recommendation engine, gave multiple recommendations which increased their conversion rate 24.7% and total revenue over $650,000 for the year! This was nearly a 50x Return on Investment in JellyBee’s first 45 days with heatmap!
Here’s the heatmapAI recommendation they used to make this change:
Based on JellyBee’s demographic of middle-aged women, they took this recommendation of adding a human element to change the bottle-only image to an image of a middle-aged woman in their Hero Image on their Landing Page holding the bottle.
This is what the Before/After looked like on this page:
Here are the results on the test, which was ran on Intelligems using the integration with heatmap:
heatmapAI’s recommendation gave a significant improvement to ROAS, Conversion Rate, and most importantly, Revenue Per Session. This allowed JellyBee to increase their efficiency of paid advertising by over 30%!
