Woopra

Problem: Marketing sees a sudden drop in checkout completion but can’t tell whether a recent A/B test on product pages is causing friction or simply exposing an existing funnel issue. Solution: Convert sends experiment and variation data into Woopra in real time. Teams build Woopra funnels segmented by variation to see how each test arm performs at every step of the journey. Outcome: They quickly identify the underperforming variation, roll it back, and double down on the winning experience. Funnel leaks are fixed faster, protecting revenue and improving test velocity.

Problem: CRO teams know which variation wins overall, but they lack clarity on how different audience segments—new vs. returning, high-value vs. low-value—respond to each experience. Solution: Convert passes experiment exposure into Woopra profiles as custom properties. Marketers build Woopra segments combining variation, behavior, and lifecycle attributes to compare performance by audience. Outcome: They uncover segments where a ‘losing’ variation actually wins, informing targeted personalizations and more nuanced rollout strategies that lift conversions for each key cohort.

Problem: Product teams run onboarding and feature discovery tests but only measure short-term activation metrics, missing the impact on retention and customer lifetime value. Solution: With Convert + Woopra, experiment and variation data are attached to user journeys and cohorts. Teams analyze retention curves, repeat usage, and revenue in Woopra by variation over weeks or months. Outcome: They prioritize experiments that improve long-term engagement, not just initial clicks, leading to more durable product adoption and higher LTV from each successful test.

Problem: Users move between web and app, but experimentation data is siloed on the website. It’s hard to see how a web test influences in-app behavior and downstream conversions. Solution: Convert pushes web experiment data into Woopra, where it’s unified with app events in cross-channel journeys. Teams map end-to-end flows and compare paths by variation. Outcome: They learn which web experiences drive deeper in-app engagement and purchases, enabling coordinated optimizations across channels that increase total conversion and user satisfaction.

Problem: Executives and non-technical stakeholders struggle to interpret scattered A/B test reports across tools, leading to slow decisions and underused experimentation insights. Solution: All Convert experiment data flows into Woopra dashboards and People views. Analytics teams build standardized reports and boards that show test impact alongside core KPIs. Outcome: Stakeholders get a single, trusted view of experiment performance. Decisions on rollouts, budget, and roadmap are faster and more data-driven, increasing confidence in the testing program.

Problem: Advanced analytics teams have strict event naming and taxonomy standards. Out-of-the-box integrations often don’t align, creating messy data and rework. Solution: Using Convert’s custom JavaScript option, teams send experiment and variation names to Woopra as tailored custom events, matching existing schemas and triggering logic. Outcome: Experiment data fits seamlessly into current Woopra models and workflows. Teams run sophisticated cohort, attribution, and journey analyses without compromising data quality or governance.