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Index/AI & Data/The Ecommerce Toolbox: AI in Retail
The Ecommerce Toolbox: AI in Retail artwork

Faster feedback loops are replacing traditional A/B testing

The Ecommerce Toolbox: AI in Retail · 2026-04-08 · 17 min

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Topics in this episode

Cozy EarthecommerceEcommerce websiteecommerce toolecommerce bug

Episode notes

As ecommerce teams scale, their priorities shift from maintaining site stability to driving continuous experimentation and improving customer experience. Alex Nelson, Director of Digital Product at Cozy Earth, talks about how his team adapted to this transition. Alex shares how Cozy Earth initially focused on bug detection and site health, especially while working with external development teams and limited visibility into performance issues. As they brought development in-house and stabilized their site, their focus expanded toward experimentation, feature launches, and improving user journeys. A key part of this evolution was speed. Traditional A/B testing cycles often slowed down decision-making, pushing the team to adopt faster feedback loops through tools like heatmaps, session replays, and page analysis. These tools helped them quickly validate whether new features aligned with customer behavior, without waiting weeks for statistical significance. Finally, Alex reflects on the growing need for consolidated tools in ecommerce. Instead of relying on multiple platforms to track similar data, teams benefit from a unified view of site health, performance, and customer behavior.

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