B2BVault's summary of:

Why retention is so hard for new tech products

Published by:
Andrew Chen
Author:
Andrew Chen

Introduction

Retention is the hardest challenge for new tech products. Patterns show it’s almost impossible to fix weak retention after launch.

What’s the problem it solves?

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.

Quick Summary

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.

Key Takeaways

  • Bad retention can’t be fixed with minor tweaks - it requires a big product shift.
  • Retention curves decay predictably - if early numbers are weak, later ones will be worse.
  • Revenue retention can grow even as user retention shrinks, especially in B2B SaaS.
  • Retention depends heavily on product category - some are naturally stickier than others.
  • Viral growth without solid retention always fails long term.
  • Timing, insight, and fit with user behavior create the rare "magic" of strong retention.

What to do

  • Test and validate retention early - don’t wait months to check.
  • Be ready to pivot big, not just add small features.
  • Choose product categories with daily or frequent use cases.
  • Focus on revenue retention models (e.g., land-and-expand in B2B).
  • Don’t rely on viral growth - build a sticky core experience first.
  • Craft a clear 60-second value hook that shows users why they should stay.

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