Kissmetrics

Problem: Growth teams run many A/B tests in Convert but can’t easily see how each variation impacts multi-step funnels in Kissmetrics, leading to shallow decisions based only on last-click conversions. Solution: Convert sends experiment and variation names into Kissmetrics as properties via the JavaScript snippet. Teams then segment Kissmetrics funnels by variation to see how each test group progresses through every step. Outcome: Marketers identify which variations improve not just immediate conversions but overall funnel completion. This drives smarter rollout decisions and higher ROI from experimentation efforts.

Problem: Product managers want to know if a new onboarding flow tested in Convert changes long-term retention, but can’t connect test buckets to Kissmetrics cohorts without manual data stitching. Solution: The integration automatically tags users in Kissmetrics with their Convert experiment and variation. Teams build cohorts in Kissmetrics based on which onboarding experience users saw and track behavior over time. Outcome: Teams clearly see which onboarding variation leads to better activation, retention, and LTV. They confidently scale the winning experience and prioritize similar product changes.

Problem: Marketers personalize content and offers in Convert, but only measure immediate clicks or signups, missing how these experiences affect deeper product usage and revenue tracked in Kissmetrics. Solution: All Convert personalizations are passed into Kissmetrics as properties. Teams filter behavioral and revenue reports by personalization variant to understand downstream engagement and monetization. Outcome: Organizations uncover which personalized experiences drive higher-quality users and revenue, not just surface-level engagement. This leads to more profitable personalization strategies.

Problem: Connecting A/B testing data to product analytics usually requires custom events, engineering time, and fragile pipelines, slowing experimentation and limiting what can be tested. Solution: Teams simply add both tracking codes and the Convert–Kissmetrics snippet. Experiment and variation data flows automatically into Kissmetrics, ready to use in all standard reports. Outcome: Experimentation velocity increases because every new test is instantly trackable in Kissmetrics. Teams spend less time on implementation and more time analyzing and shipping winning ideas.

Problem: Marketing wants to build high-value segments in Kissmetrics based on how users responded to experiments, but lacks a reliable way to tag users with their test experiences. Solution: Convert pushes experiment and variation names as user properties to Kissmetrics. Teams create segments like “saw pricing test B” or “exposed to free-trial banner” and analyze their behavior and value. Outcome: Marketers discover which test-exposed segments are most engaged and profitable, enabling more targeted campaigns, better remarketing, and smarter budget allocation.

Problem: A single A/B test can affect multiple user journeys (signup, upgrade, referral), but teams struggle to understand its cross-journey impact using siloed reports. Solution: With experiment and variation properties in Kissmetrics, teams slice multiple funnels and behavioral reports by the same Convert test and variation to compare performance across journeys. Outcome: Organizations see the holistic impact of each experiment, avoiding local optimizations that hurt other flows. They prioritize changes that lift performance across the entire customer lifecycle.