Dashboard that consolidates app analytics and ad attribution for solo devs

Solo app makers and micro‑SaaS publishers (roughly 1.5M potential publishers) struggle to stitch together app store analytics, ad network attribution, and backend events to measure ROAS and LTV across channels. They face rising ad CPCs and limited bandwidth—decisions that used to be made with analyst teams now fall to individuals who need clear, actionable attribution and cohort metrics. A pragmatic product would be a lightweight dashboard that ingests App Store/Google Play APIs, major ad network attribution (including SKAdNetwork and server‑to‑server events), and popular managed backends, normalizes events, and surfaces LTV, cohort ROAS, anomaly alerts and prescriptive next steps. Built as a low‑cost SaaS with opinionated defaults and an annual pricing target aligned to the market estimate ($2.0K ACV used to arrive at a $3.0B market), the MVP could focus on 10–15 common integrations and automated AI‑driven insights to reduce the need for manual analysis. Key challenges will be fragmentation of APIs, privacy constraints (SKAdNetwork/ATT), and building trust around sensitive revenue data—technical but solvable problems if prioritized. Timing is favorable: rising ad costs make optimization urgent, open APIs and managed backends lower integration cost, and affordable AI enables automated anomaly detection and prescriptive recommendations that solo devs value. To stand out in a medium‑competition landscape you must focus on clear, opinionated UX for non‑analysts, privacy‑first attribution, a narrow vertical go‑to‑market, and tight integrations with 3–4 popular stacks—if you can execute this in 6–9 months the opportunity is attractive but not trivial.