How Bazaar increased checkout conversions by 4%

The challenge

The Bazaar team faced blind spots in understanding real user behavior. While they used databases for quantitative insights, they lacked visibility into the “why” behind user actions - for example, rage taps, hesitation, and confusing interactions that didn’t show up in dashboards.

We had blind spots with respect to key aspects of user experience like rage taps and general confusion. We also weren't able to capture a full session journey through funnels and flows.

Maida Khan

Senior Product Manager

The solution

Bazaar’s Product Discovery and AI squad implemented UXCam to complement their quantitative stack and uncover friction in real customer sessions. The team integrated UXCam easily - describing the setup as “straightforward” - and began analyzing the app through session replays and funnel visualization. UXCam’s session replays allowed the product and design teams to observe real user behavior, identify UI pain points, and validate hypotheses before running experiments.

UXCam helped us move faster from assumptions to evidence.

Maida Khan

Senior Product Manager

Results

UXCam enabled Bazaar to uncover the root causes of low adoption in their new multi-search feature.

• Only 29% of users who reached the search landing page actually initiated a search.

• Session replays revealed UI design challenges that confused users - issues that quantitative data couldn’t explain.

• The team ran an A/B test informed by these insights, resulting in a 4% lift in checkout conversion rate.

With faster visibility into friction points, Bazaar’s product team made decisions grounded in evidence, boosting confidence and collaboration across squads.

UXCam made the decisions far more evidence-based and increased user empathy.

Maida Khan

Senior Product Manager