Power users retain better and also use more features - that doesn't mean the feature caused the retention. This puts retention curves for week-1 adopters directly against non-adopters, so the real lift (or lack of one) is visible.
Report produced by this recipe.
Plots cohort retention curves side by side for users who adopted a target feature in their first week versus those who didn't, isolating the feature's real retention lift.
a feature-adoption retention lift comparison
Configure and materialize the report described below.
Tell Blu what you need. It builds the segment, content, journey, and dashboard in minutes.
Sign up freeDual score: SEO for search engines, AEO for AI assistants.
Performance, SEO, mobile, and security in one score.
Account-level engagement (rolled up from all users on the account) tracked over time — identifies expansion vs. churn-risk accounts.
Plan-limit-to-upgrade funnel built from real subscription state-change events with per-step time-to-convert.
Natural-language-to-SQL and automated anomaly detection moved from demo feature to production expectation. Here's what's real, backed by McKinsey and Mastercard data, and what to do about it.
8 real tools for monitoring whether ChatGPT, Perplexity, and Google AI Overviews cite your brand, from a free Otterly.AI tier to enterprise-grade 10-engine coverage from Profound.
You set the strategy. Agents run the plays. Seven AI agents across design, marketing, sales, and analytics. One customer context, tracked from first pixel to final dollar.
