How Bazaar Increased Checkout Conversions by 4%
Bazaar Technologies is Pakistan's leading e-commerce platform, connecting households and businesses to essential products across more than ten major cities.
> 2M installs
on Google Play Store
18% increase
in items added to cart after a search
4%
checkout conversion lift
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: 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.
The Solution
Bazaar's Product Discovery and AI squad implemented UXCam to complement their quantitative stack. The team integrated UXCam easily, describing the setup as "straightforward", and began analyzing the app through session replays and funnel visualization.
Session replays allowed the product and design teams to observe real user behavior, identify UI pain points, and validate hypotheses before running experiments.
The team focused on their multi-search feature, where session replays revealed UI design challenges that confused users, issues that quantitative data alone couldn't explain.
UXCam helped us move faster from assumptions to evidence.
The Result
- 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 an 18% increase in items added to cart and a 4% lift in checkout conversion rate
With faster visibility into friction points, Bazaar's product team now makes decisions grounded in evidence, boosting confidence and collaboration across squads.
UXCam made the decisions far more evidence-based and increased user empathy.