GrowthOS for Product Analysts
GrowthOS gives product analysts a unified view of user behavior, feature adoption, and retention - all tied to monetization and growth.
Understand feature usage in full context
Track how users adopt key features, how behaviors vary across segments, and where product gaps impact growth. Every report pulls from live behavioral and account data.
Feature adoption reports
Analyze feature usage using multi-condition logic, combining behavior, and intent signals, all updated continuously as new data flows in.
Retention cohorts
Track returning user behavior over time with customizable cohort windows. Pinpoint drop-offs and spot opportunities for re-engagement.
Lifecycle segmentation
Segment users based on activation, engagement, and stickiness signals.
Monitor funnel performance end-to-end
Map every step in the user journey from sign-up to purchase and visualize drop-offs, friction points, and conversion opportunities.
Funnel builder
Create custom funnels using event sequences, delays, and conditional steps.
Conversion insights
View step-level completions, time to convert, and drop-off rates across audience types.
Goal event tracking
Define and monitor key events like "Feature Activated" or "Subscription Upgrade" with predictive scoring.
Build custom dashboards, trigger action
Go from insights to intervention without switching tools. Combine reports, launch journeys, and measure impact, all from a single platform.
Custom dashboards
Combine funnels, retention, and event-based insights into one interactive view.
Report-level breakdowns
Filter by geography, segment, device, plan, and more to uncover patterns fast.
Actionable journeys
Trigger onboarding nudges or reactivation campaigns based on report trends.
Unlock advanced growth tactics
Dive into a curated directory of use cases tailored to your industry. Filter by product, industry and use case to discover advanced tactics that drive growth with GrowthOS.
Frequently Asked Questions
Yes. Feature adoption reports let you combine multiple behaviors, intent signals, and conditions. You can define adoption as "used feature X at least 3 times AND completed action Y within 7 days", not just "clicked the button once." And it updates continuously as new data comes in.
Retention cohorts are fully customizable. You set the cohort windows (Day 1, Day 7, Day 30, or whatever makes sense for your product), define what "returning" means for your use case, and segment by signup week, acquisition source, plan type, or any attribute you're tracking. You're not stuck with preset timeframes.
It's segmenting users by where they are in their journey: activated, engaged, power user, at-risk, dormant. You define what each stage means based on your product's signals (feature usage, login frequency, engagement depth), then analyze or target each group differently.
Step-level completions, drop-off rates, and time to convert—broken down by audience type, device, geography, plan, or any segment you care about. You see not just where people drop off, but who drops off and how long the successful ones take.
You define key events - "Feature Activated," "Subscription Upgraded," "Trial Converted", and Intempt tracks them. Predictive scoring adds a layer: it estimates the likelihood that users will hit those goals based on their behavior patterns. So you can focus on users who are close to converting, or intervene with those who probably won't.
Yes. Every report supports filtering and breakdowns by whatever attributes you're tracking, plan, geography, device, segment, campaign source, you name it. You're not limited to predefined dimensions.
Ready to measure what matters?
Start analyzing user behavior, feature adoption, and retention in one unified platform.