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Executive Summary

Many small app businesses — roughly 200,000 addressable developers and indie studios — struggle to connect ad spend to store performance and in‑product events, leading to wasted acquisition budgets and poor optimization decisions; solo or two‑person teams typically lack the engineering capacity to build and maintain cross‑network attribution pipelines themselves. The symptom is fragmented dashboards, conflicting metrics between ad networks and stores, and slow or manual attempts to reconcile cohort LTV, ROAS, and churn signals. A viable product is a lightweight attribution dashboard that unifies data from major ad networks (Google, Meta, Apple Search Ads, Unity, TikTok) and app stores into event‑level joins, provides cohort LTV/ROAS calculations, automated anomaly detection, and plain‑English recommendations—delivered with one‑click connectors, server‑side ingestion options, and privacy‑first matching. The MVP should emphasize low setup friction (no heavy SDKs), clear outcome metrics, and tiered pricing that scales from solo makers to small studios. This is a timely opportunity: support for stable APIs from stores and networks makes integrations more maintainable, the indie‑maker monetization trend increases willingness to pay for tools that protect ad spend, and accessible AI lowers the cost of building anomaly detection and natural‑language insights; together they support a $4.0B TAM (200,000 × $20,000 ACV), with a Market Score of 88/100 and Revenue Potential 78/100. Competition is medium: enterprise MMPs and analytics platforms exist, but they are often too costly or complex for solo teams. To stand out, focus on a productized experience for teams with minimal engineering bandwidth: prebuilt connectors, actionable “what to change” recommendations, outcome‑based onboarding, and transparent privacy/compliance controls; this sells to small teams that want results, not raw data. Be honest about the challenges—ongoing integration maintenance, data latency and attribution ambiguity, and the risk of thin margins if you chase very low ARPU customers—and plan GTM around a pragmatic pilot (dozens to low‑hundreds of paying apps) and premium support tiers for higher‑value studios.

Executive Summary

Solo-developer attribution dashboard: unify ads, stores, and product data

Executive Summary

Solo-developer attribution dashboard: unify ads, stores, and product data

Executive Summary

Market Validation

Market Opportunity

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