Retention is the hardest challenge for new tech products. Patterns show it’s almost impossible to fix weak retention after launch.
The article explains why so many new products fail to keep users and what lessons can be applied to today’s AI apps. It shows how to spot retention problems early, why small fixes rarely work, and what paths actually improve retention.
Retention is the biggest make-or-break factor for startups. Once a product shows poor early retention, it’s nearly impossible to "patch" with tweaks like notifications or extra features. Instead, it often requires a big pivot or even a full redesign. Retention curves usually only go down, and early results almost always predict the long-term outcome.
The piece highlights key dynamics: user retention shrinks while revenue retention can grow, making B2B SaaS models stronger than consumer ones. Retention also depends on product category - daily-use apps naturally retain better than travel or niche tools. Growth makes retention worse as new users are less ideal than early adopters, and churn is asymmetric - once users quit, they rarely return. Viral spikes don’t save bad products either; without strong retention, hype collapses fast.
Finally, "great retention" feels like magic. It usually happens when timing, category, and a fresh insight align perfectly, letting a product hook users in the first moments. Startups should either build into categories with naturally high retention or craft a 20% twist on existing, proven behavior.