Feature Adoption RateAI/MLSeries A
Feature Adoption Rate for AI/ML at Series A (Marketplace)
2026 data · Sample size: 100 · Source: ChartMogul SaaS Growth Report 2026
25th %ile
19.5%
Median
25.6%
75th %ile
30.7%
90th %ile
34.8%
▲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
The 2026 AI/ML landscape at Series A stage is being reshaped by AI-native companies that are achieving 30-40% better performance on this metric compared to pre-AI baselines. The companies that embedded AI into their core workflow early are pulling away. If you have not started, you are already 12 months behind the curve on operational efficiency.
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 Series A?
Median is 25.6%. Top-quartile achieves 30.7%. Aim for top-quartile to attract investors.
How does Marketplace model affect Feature Adoption Rate?
The Marketplace 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 Series A, the biggest lever is usually operational efficiency and product-market fit refinement.