Segment

Problem: Experiment results are scattered across tools, with each A/B test needing custom tracking. Marketers struggle to compare performance and maintain a consistent view of experiments across GA, Mixpanel, and BI tools. Solution: Connect Convert to Segment once and stream standardized experiment and variation events to all analytics destinations. Segment fans out Convert’s `Convert Experiences` events to GA, Mixpanel, Heap, and more without extra code. Outcome: Teams get a single, reliable source of truth for experiment data across the stack. Reporting becomes faster, cleaner, and more comparable, enabling better decisions on which tests to scale or iterate.

Problem: Marketing and lifecycle teams can’t easily act on which variant a user saw, so email, ads, and in-app campaigns ignore experiment context and miss opportunities to reinforce winning experiences. Solution: Use Convert’s variation assignments streamed via Segment as traits and events to trigger downstream actions in email, CRM, and ad tools. Segment enriches profiles with experiment and variation identifiers from Convert. Outcome: Lifecycle flows and retargeting campaigns adapt to the experience a user actually saw, improving message relevance, boosting engagement, and increasing conversion and retention from each experiment.

Problem: Experiment teams want to join A/B test data with revenue, churn, and product usage in BigQuery or Redshift, but manual exports and custom ETL make this slow and error-prone. Solution: Stream Convert experiment and variation events into Segment, then route them directly into data warehouses. Use the consistent schema (experiment and variation IDs/names) to join with transactional and behavioral tables. Outcome: Analysts can run robust cohort, LTV, and retention analyses by variant without extra engineering work. Businesses understand the true downstream impact of experiments on revenue and customer health.

Problem: Trying new analytics or UX tools usually requires fresh tracking code and developer time. This slows experimentation with vendors and creates inconsistent experiment data across platforms. Solution: With Convert sending standardized events into Segment, teams can activate new destinations like Hotjar or Amplitude from the Segment UI. No new on-site experiment tracking is required. Outcome: Teams quickly evaluate and switch tools while keeping experiment data consistent. Vendor lock-in is reduced, and experimentation insights are available wherever they’re needed with minimal engineering effort.

Problem: Legal and compliance teams worry about exposing identifiable experiment data across multiple tools. This leads to restrictive tracking setups that limit how experimentation data can be used. Solution: Leverage Convert’s anonymization settings when sending events to Segment, passing only experiment and variation IDs when required. Segment then distributes these privacy-safe events to all destinations. Outcome: Organizations stay compliant with privacy requirements while still unlocking rich, standardized experiment data for analytics, personalization, and reporting across their entire Segment-powered stack.

Problem: Every new experiment or reporting request triggers another round of tracking tickets. Developers must wire test data into multiple tools, slowing experimentation velocity and creating brittle implementations. Solution: Implement Convert and Segment once, then enable the integration in Convert so all experiment assignments are tracked via Segment. Marketers control routing and destinations directly from the Segment dashboard. Outcome: Experimentation scales without a proportional increase in engineering work. Teams launch and analyze more tests, faster, while keeping the data layer clean and reducing maintenance on tracking code.