Eulerian

Problem: CRO teams see uplift in Convert, but can’t easily connect it to revenue, LTV, or other KPIs already tracked in Eulerian, forcing manual exports and stitched reports. Solution: Convert sends experiment and variation names directly into Eulerian, so every test cohort is visible alongside existing behavioral and business metrics in one analytics view. Outcome: Teams quantify the real business impact of each experiment, prioritize winning variants based on revenue and downstream value, and retire low-impact tests faster with a single source of truth.

Problem: Topline conversion rates look good, but marketers can’t see where specific test variations help or hurt performance across multi-step funnels tracked in Eulerian. Solution: With Convert variation data flowing into Eulerian, analysts segment funnels by experiment and variant, drilling into drop‑off, time to convert, and micro‑conversions for each cohort. Outcome: Teams uncover which variants truly improve end‑to‑end journeys, not just the next click, leading to better UX decisions and higher overall funnel completion rates.

Problem: Global test results hide big differences between segments like traffic source, device, or customer value that are already modeled in Eulerian but not linked to Convert data. Solution: Convert’s experiment and variation identifiers are ingested into Eulerian, enabling segmentation of test participants by any Eulerian dimension or audience model. Outcome: Marketers identify segment‑specific winners, roll out targeted experiences where they perform best, and avoid one‑size‑fits‑all decisions that dilute performance.

Problem: CRO and analytics teams spend hours merging spreadsheets from Convert and Eulerian to build executive‑ready reports, increasing errors and slowing decision cycles. Solution: The integration centralizes test data in Eulerian, so dashboards and reports can pull experiment performance, behavior, and business KPIs from a single analytics environment. Outcome: Stakeholders get consistent, always‑up‑to‑date views of test impact, reporting cycles shrink, and teams spend more time planning the next experiments instead of wrangling data.

Problem: Personalization experiences launched in Convert are judged only on short‑term clicks or conversions, without visibility into long‑term behavior and value tracked in Eulerian. Solution: Convert passes personalization experience and variation data into Eulerian, allowing analysts to follow cohorts over time and link them to retention, frequency, and LTV metrics. Outcome: Businesses understand which personalized experiences drive sustainable value, not just quick wins, and can confidently scale the campaigns that improve long‑term performance.

Problem: When test results look surprising or inconsistent, teams lack the granular analytics needed to validate findings and understand why a variation performed the way it did. Solution: By analyzing Convert test cohorts within Eulerian, teams can drill down by page path, event, campaign, or device to investigate anomalies and confirm data quality during the beta. Outcome: Experiments become more trustworthy, false positives are reduced, and optimization roadmaps are based on validated, deeply understood user behavior patterns.