The AI Churn Wave: A Data-Driven Investigation Into Retention for AI Apps
Analysis of 3,500+ SaaS and AI-native companies reveals that AI products have significantly worse retention metrics than traditional B2B SaaS, with median NRR of 48% vs. 82% for B2B SaaS, driven primarily by low-priced consumer-focused offerings attracting "AI tourists." The article demonstrates a strong correlation between retention and sustainable growth, with companies scaling to $5M+ ARR showing 2x better retention than early-stage peers, and provides five strategic recommendations for AI companies to improve retention through upmarket expansion, services delivery, and annual billing models.
Metrics in this report
82percent
median
B2B SaaS companies with >$250k ARR (2025)
40percent
median
AI-native companies with >$250k ARR (September 2025)
70percent
median
AI-native products priced >$250/month
23percent
median
AI-native products priced <$50/month
83.5percent
median
B2B SaaS companies with >$5M ARR
56.8percent
median
AI-native companies with >$5M ARR
82percent
median
B2B SaaS companies with >$250k ARR (2025)
48percent
median
AI-native companies with >$250k ARR (2025)
49percent
median
B2C SaaS companies with >$250k ARR (2025)
85percent
median
AI-native products priced >$250/month
32percent
median
AI-native products priced <$50/month
83.5percent
median
B2B SaaS companies with >$5M ARR
85.3percent
median
AI-native companies with >$5M ARR