Proprietary A/B Testing Led To A 75% Increase In Conversions For Dive Blu3
Dive Blu3 is a quickly growing underwater adventure brand that offers portable tankless scuba diving systems that were designed for ease, freedom, and exploration. However, as Dive Blu3 began scaling their online presence and began seeing traffic from paid campaigns and organic search on their site, they encountered frustratingly low conversion rates. There were visitors that were browsing, engaging with the product, but leaving before they bought anything. Recognizing this issue was a threat to their growth, they came to us here at CausalFunnel looking for a powerful yet user-friendly way to diagnose and fix the problem all without the need to rely on engineers or long development cycles.
Background and Problem
Despite Dive Blu3 having innovative products and continuously increasing brand awareness, they struggled with a conversion rate stuck at 0.4% on its key landing and product pages. The main problem here wasn’t low traffic, rather it was ineffective page designs that were pushing customers away. Product pages were cluttered and did not have the add to cart button high enough up on the page so people would miss it. Even though the product solved a clear pain point of their target customer, the page layout failed to guide the user toward actually making a purchase. Most importantly, their marketing team had no easy way to test or optimize these pages as they had minimal coding knowledge. Traditional A/B testing tools required coding, developer time, and often weeks of setup just to test a single layout change. This long delay in testing left the team flying blind most of the time. They were unable to tell which changes would actually help increase their conversions.
Case Study
To break this cycle, Dive Blu3 came to us here at CausalFunnel looking for a code-free, AI-powered experimentation platform built for fast-growing E-commerce brands. Now there was zero engineering help needed and the marketing team was able to launch A/B tests directly from the CausalFunnel dashboard. Our proprietary AI was able to create page variants based on design heuristics and behavioral data, focusing on improving page layout, copy clarity, button placement, and visual flow to make it easier for customers to use. Unlike so many other platforms, there is no need to write JavaScript, edit backend code, or wait on long development cycles with CausalFunnel. Here, everything is an easy to use plug-and-play design. This allowed the team to test new ideas within days, not months.
We helped Dive Blu3 set up a structured experiment comparing two user groups: Group A (original product page) and Group B (AI-optimized product page with a new add to cart button). The optimized version incorporated clearer calls-to-action, stronger visual hierarchy, and trust-building elements like customer testimonials. Within a few weeks, the results were clear: Group B saw a 0.7% conversion rate, compared to 0.4% for Group A which was more than a 75% increase in conversions. The uplift was not just in sales, but also in deeper engagement: users in Group B spent more time on site, navigated product options more smoothly, and returned more frequently. All test data is automatically visualized in CausalFunnel’s real-time dashboard making it easy for anyone on Dive Blu3’s performance team to analyze the results on their own time.
How CausalFunnel AI Fixed the Problem
Our team here CausalFunnel began by studying key user behavior metrics such as bounce rates, scroll depth, and click maps in order to see exactly where users were dropping off. We noticed that a lot of visitors abandoned the page before reaching the add to cart button. Based on these insights, we generated several layout options that showed Dive Blu3’s core benefits: portability, simplicity, and freedom. These different pages featured larger, clearer imagery of the product in use, simplified product descriptions, and high-contrast add to cart buttons placed higher on the page. Then, we added subtle urgency suggestions like “Limited Stock” and “Summer Special” banners that were A/B tested to find the most effective.
Our team also found some deeper issues that were invisible to the human eye but clear when looking at the behavioral data. For instance, the original product page put the add to cart button too low on the page, so visitors left before adding to cart. CausalFunnel’s A/B testing tool showed that the repositioned add to cart button that was now above the description and below the product image was converting more visitors. The result was a cleaner, more persuasive, and more conversion-friendly page that aligned with how real users were interacting with the site. Because this whole process is code-free, the Dive Blu3 team can now run multiple experiments on other pages and see the results quickly.
A/B test group A – Add to cart button is after the description.
A/B test group B – Add to cart button is before the description.
Conclusion
In just a few weeks, the Dive Blu3 website was transformed thanks to their new product pages from CausalFunnel. These A/B tests let them move from guesswork to data-backed growth. The improvements boosted conversions from 0.4% to 0.7%, which is a significant lift that led to a measurable increase in revenue gains and higher customer engagement. But beyond the numbers, the biggest win was the A/B testing tool: Dive Blu3 now had a scalable, no-code framework for continuous testing, learning, and optimization. They no longer had to wait weeks for a developer’s help to try new product or landing page ideas and risk launching untested pages. With AI doing all the heavy lifting and easy to read data guiding every decision, Dive Blu3 can now focus on what they do best.
Easy to read A/B Test Report Dashboard.
