Tracking product adoption metrics isn’t just a box to check post-launch—it’s how growth-minded teams uncover friction, increase retention, and ensure product-market fit. Whether you’re launching a new feature or rolling out an entirely new product, clear adoption data separates guesswork from insight.
What Should You Track?
When evaluating adoption, metrics need to go beyond logins and pageviews. The goal is to understand if users are not just arriving, but engaging with key features and moving through your intended product journey.
Key areas to monitor:
- Time-to-first-value: How quickly do users complete a meaningful action?
- Onboarding drop-off points: Where do users abandon the flow?
- Feature adoption rate: Are new capabilities being used or ignored?
- Cohort analysis: How do behaviors differ between power users and casual users?
- Usage frequency: Are users returning daily, weekly, or not at all?
Let’s look at how two leading brands are using Kubit to gain deeper visibility into these types of metrics—and made actionable changes as a result.
Influence Mobile: Turning Onboarding Insights Into Conversions
Influence Mobile uses Kubit to closely monitor onboarding and track the performance of every product release. Their team leverages Kubit’s funnel reporting to understand how new users progress through early experiences—from account creation to key in-app actions.
Their primary goal? Smooth, fast completion of two essential steps:
- Registering a new account
- Downloading three partner apps
With Kubit, they identified a friction point during onboarding—two back-to-back screens requesting age and gender led to unnecessary drop-off. By combining those screens, they saw a marked increase in conversions and a smoother onboarding flow.
This isn’t just about UX—it’s about optimizing the adoption curve with precision.
TelevisaUnivision: Driving Engagement with Smarter Data
When TelevisaUnivision launched ViX, their global Spanish-language streaming platform, product adoption was critical to success. They chose Kubit to track usage patterns and engagement KPIs such as:
- Minutes watched
- Streaming hours
- Active users per session
Rather than relying on vanity metrics, TelevisaUnivision focused on understanding how users consumed content and which behaviors drove stickiness. This enabled them to iterate on features that kept users watching longer and returning frequently.
The result: A data-informed product strategy tailored to real behavior—not assumptions.
The Link Between Engagement and Long-Term Adoption
Teams often focus too heavily on acquisition, but without engagement, acquisition is meaningless. By watching which features drive deep usage, you can:
- Prioritize high-impact roadmap items
- Reduce churn with targeted nudges
- Build loyalty with features users love
Ultimately, product adoption metrics give you the foundation to evolve from a usable product to an indispensable one.
