Success metrics for embedded analytics span both user engagement and business outcomes.

Usage metrics include adoption rate (share of active users engaging with analytics), frequency of use, and depth of interaction (queries run, charts viewed).

Product teams should also track reductions in support tickets and manual report requests; a survey of developers found that embedded analytics reduces reporting-related support tickets by 20 %.

Business metrics include retention, churn reduction and revenue lift—case studies show that embedding analytics can drive 2 % reductions in churn and 20 % revenue increases among top customers.

Time‑to‑insight and payback period are also important; Bigtincan reported a 6.2‑month payback on their analytics investment.

MageMetrics includes built‑in query logging and meta‑insights that surface adoption patterns and correlate analytics usage with churn reduction and revenue lift.