Feature Adoption RateAI/MLGrowth
Feature Adoption Rate for AI/ML at Growth (Hybrid)
2026 data · Sample size: 134 · Source: SaaStr Annual Survey 2026
25th %ile
29.4%
Median
38.7%
75th %ile
46.4%
90th %ile
52.6%
▲Trending up year-over-year
About This Metric
Percentage of users actively using a specific product feature within a given period.
Users Using Feature / Total Active Users × 100
Higher is better · Unit: percentage
How to Improve
Announce features contextually when users encounter the problem the feature solves. Track adoption by cohort and create nudge campaigns for non-adopters. Kill features below 5% adoption.
Ehsan's Analysis
Every AI/ML company I have advised at Growth stage that broke into top-quartile on this metric did one thing differently: they built internal tooling to track it in real-time instead of relying on monthly reports. The latency between signal and action is where value leaks. Build a dashboard that your team checks before their morning coffee.
EJ
Ehsan Jahandarpour
AI Growth Strategist & Fractional CMO
Forbes Top 20 Growth Hacker · TEDx Speaker · 716 Academic Citations · Ex-Microsoft · CMO at FirstWave (ASX:FCT) · Forbes Communications Council
Frequently Asked Questions
What is a good Feature Adoption Rate for AI/ML at Growth?
Median is 38.7%. Top-quartile achieves 46.4%. Aim for top-quartile to attract investors.
How does Hybrid model affect Feature Adoption Rate?
The Hybrid business model impacts this metric through pricing mechanics and customer behavior patterns. Benchmark against companies with the same model for accurate comparison.
How to improve Feature Adoption Rate?
Focus on the primary driver for your stage. At Growth, the biggest lever is usually operational efficiency and product-market fit refinement.