SaaS feature adoption: Why Features Stay Unused

See which SaaS features users adopt, where discovery breaks down, and how power users differ. Use the evidence to improve feature discovery.

What is Feature Adoption Tracking?

Feature Adoption Tracking measures how users discover new features, use them for the first time, and adopt them long-term. You see the complete adoption lifecycle.

How do I define feature events?

With Custom Events (BHT.track) you can track any feature interactions. The event library contains best practices for SaaS features.

Can I analyze adoption by user segment?

Yes, you can segment feature adoption by plan, cohort, country, or any custom properties.

How do I identify underutilized features?

BigHoot identifies features with low adoption and generates proactive recommendations to increase usage.

How do I measure adoption of features that don't have their own page?

About Custom Events. You trigger an event when a user clicks or completes an action, optionally with properties such as "Plan" or "Context." From that point on, BigHoot automatically tracks first-time use and repeat visits.

What is a good adoption rate?

That depends heavily on the feature: Core features should reach more than 60 percent of active users, while additional features often reach 10 to 20 percent. What matters most is how the feature evolves over time within your own product.