Piano

Problem: Optimization and analytics teams run experiments in Convert but analyze behavior in Piano, forcing manual exports, spreadsheet joins, and inconsistent reporting across tools. Solution: Convert sends experiment and variation exposure as custom events into Piano. Teams plug these into existing dashboards to compare treatments against all Piano-tracked KPIs in one place. Outcome: Stakeholders see test impact alongside core metrics without leaving Piano. Decisions are faster, reporting is consistent, and experimentation becomes part of the standard analytics workflow.

Problem: Publishers want to experiment with paywalls, subscriptions, and content layouts but must avoid cross-site tracking and excessive data retention to stay GDPR-compliant. Solution: Convert runs the A/B tests while Piano captures exposure as privacy-friendly custom events using non–cross-site cookies and minimal visit data, aligned with existing consent setups. Outcome: Teams get robust test insights without expanding their tracking footprint. Legal and privacy teams stay comfortable, and experimentation scales without risking compliance issues.

Problem: Marketers can see which variation won on a primary KPI, but can’t easily understand how each treatment changed deeper behavior like content consumption, feature usage, or churn risk. Solution: Experiment and variation IDs from Convert are pushed into Piano, enabling segments such as “exposed to Variation B” across all Piano events and funnels. Outcome: Teams uncover why a variation works, not just that it works. They identify high-value behaviors, refine hypotheses, and design follow-up tests based on rich behavioral insights.

Problem: Enterprises with strict analytics governance hesitate to add testing data because generic integration events don’t match established Piano naming conventions or taxonomies. Solution: The integration lets teams customize event names and properties (e.g., mv.test_display) so Convert experiment exposure fits seamlessly into their current Piano event schema. Outcome: Analytics stays clean and maintainable. Experiment data is trusted, easily discoverable, and can be reused across reports, models, and internal documentation without schema sprawl.

Problem: Optimization teams measure clicks or signups in Convert, but finance and product leaders care about downstream metrics like LTV, ARPU, churn, and subscription upgrades tracked in Piano. Solution: Convert sends who saw which variation into Piano, where that exposure is joined with revenue, subscription, and engagement events already collected by Piano. Outcome: Organizations quantify the real business impact of each test on revenue and retention. Winning variants are prioritized confidently, and experimentation roadmaps align with financial goals.

Problem: Teams want to understand how experiments affect behavior across sessions and devices, but are constrained by privacy rules that limit cross-site and invasive identity stitching. Solution: Convert logs experiment exposure; Piano records it as privacy-focused custom events within its own tracking model, respecting non–cross-site cookies and existing identity logic. Outcome: Marketers gain a coherent, privacy-respecting view of experiment impact over time. They can refine experiences across touchpoints while maintaining user trust and regulatory compliance.