Lucky Orange

Problem: A variation wins on conversion rate, but support tickets and NPS hint at UX friction. The team lacks clear behavioral evidence to understand what’s confusing users on the new experience. Solution: Convert sends experiment and variation tags into Lucky Orange, letting teams filter heatmaps and recordings by each variant. They replay sessions and review chat logs only for the winning variation to spot friction points. Outcome: Marketers keep the revenue lift while fixing UX issues fast. The winning variant is refined instead of rolled back, improving satisfaction, reducing support load, and increasing long‑term conversion stability.

Problem: Checkout A/B tests show flat or inconclusive results, but analytics alone doesn’t reveal where users hesitate or drop off. Teams can’t see what’s actually happening in the funnel per variation. Solution: With Convert’s experiment data passed as tags, Lucky Orange heatmaps and recordings are segmented by checkout variation. Teams watch real sessions for each variant to see rage clicks, form confusion, and abandonment patterns. Outcome: Specific UX blockers—like unclear field labels or distracting elements—are identified and prioritized. Follow‑up experiments are sharper, leading to measurable lifts in checkout completion and revenue per visitor.

Problem: Homepage hero and navigation tests change engagement metrics, but teams can’t tell if users are actually seeing key content or getting lost in the new layout. Solution: Convert automatically syncs experiment and variation names to Lucky Orange, enabling variant-specific scroll maps and click heatmaps. Teams compare how far users scroll and what they interact with on each version. Outcome: Design decisions are based on visual behavior, not guesses. Teams confidently promote layouts that surface critical content earlier, increasing engagement with key CTAs and improving downstream conversions.

Problem: During experiments, chat agents hear recurring complaints or questions, but it’s unclear which variation is causing confusion. Feedback is too generic to guide optimization. Solution: Lucky Orange chat logs are enriched with Convert experiment and variation tags. Marketers filter conversations by variation to see exactly what users said while viewing each test experience. Outcome: Teams pinpoint which copy, layout, or feature changes trigger objections. They adjust messaging or UX in targeted follow‑up tests, reducing pre‑purchase anxiety and increasing conversion and self‑service success.

Problem: Category and product listing page tests impact browsing patterns in complex ways. Standard metrics don’t show how users navigate, filter, or interact with product tiles across variations. Solution: Convert passes category- and page-level experiment data into Lucky Orange as custom tags. Teams segment recordings and heatmaps by test and category to observe how shoppers browse and refine product lists. Outcome: Insights into scanning patterns, filter usage, and dead zones inform rapid design tweaks. Category pages become easier to shop, driving higher product views, add‑to‑carts, and overall revenue per session.

Problem: Mid-test, one variation clearly underperforms, but teams don’t know why and hesitate to stop it early. They risk wasting traffic on a bad experience or missing a fixable issue. Solution: Using Convert’s integration, teams quickly filter Lucky Orange recordings and heatmaps to only the underperforming variation. They watch a sample of sessions to identify obvious UX bugs or misaligned content. Outcome: Critical issues are spotted and addressed while the test is still running. Teams can safely pause or hotfix the bad variation, protecting revenue and shortening the learning cycle for the next experiment.