Silent user-loss detection + automated product-alerting (real-time)

Silent user-loss detection + automated product-alerting (real-time) targets a $12.0B = 1,000,000 SaaS & digital-product companies x $12K ACV (enterprise+mid-market monitoring & analytics) total addressable market with medium saturation and a year-over-year growth rate of 18% CAGR (product analytics & observability convergence).

Key trends driving demand: Product-led growth -- companies are investing in retention tooling to protect LTV and reduce acquisition spend.; First-party data pipelines -- adoption of Segment/Snowflake/Postgres event stores makes event-level monitoring feasible without heavy SDK lock-in.; AI-driven anomaly detection -- self-supervised models reduce false positives and surface causal signals, enabling product-focused alerts.; Alert fatigue awareness -- teams demand higher signal-to-noise from monitoring tools, driving adoption of contextualized, prioritized alerts..