Executive Summary

Many marketers and growth teams today cannot reliably calculate true customer acquisition cost because ad platforms report clicks and probabilistic attribution rather than tying spend to actual revenue events; this particularly hits subscription SaaS, mid-market e-commerce, and performance agencies that rely on recurring revenue signals to justify ad budgets. The result is sustained misallocation of ad spend, incorrect LTV:CAC decisions, and frequent disputes between marketing and finance about channel ROI. A viable product would ingest ad spend and event streams, stitch first-party and server-side signals to payment providers (Stripe, Chargebee), and use AI-enabled matching and anomaly detection to output channel-level CAC and cohorted ROI with confidence intervals and explainability. The market is ripe: privacy-driven deprecation of third-party cookies, the growth of subscription billing, and cheaper AI matching raise demand for revenue-backed attribution—a $6.0B addressable market (5,000,000 businesses × $1,200 ACV) with a market score of 88/100 and revenue potential rated 88/100. This can differentiate by prioritizing deterministic, privacy-first server-to-server integrations with billing systems, providing audit-ready revenue matches and low-friction onboarding for SMBs, and surfacing actionable, explainable recommendations rather than raw probabilities. Honest challenges include securing payment-data access and consent, engineering numerous connectors, managing regulatory constraints, and competing in a medium-competition landscape where proving measurable ROI quickly will be essential.

Market Opportunity

Reveal true CAC by matching ad spend to actual revenue sources targets a $6.0B = 5,000,000 businesses × $1,200 ACV (annual spend on attribution & ad-revenue clarity tools) total addressable market with medium saturation and a year-over-year growth rate of 12% — MarketsandMarkets and industry reports on marketing analytics and attribution growth driven by cookieless trends.

Key trends driving demand: Cookieless advertising — privacy changes force reliance on first-party and server-side signals, increasing demand for revenue-backed attribution.; Subscription economy growth — more businesses use recurring billing meaning revenue joins (Stripe, Chargebee) are a decisive signal of intent.; AI-enabled anomaly detection — AI makes it cheaper to match noisy click data to revenue events and surface channel-level ROI automatically.; Ad cost inflation — rising CPMs are pushing marketers to demand revenue-level ROI instead of surface metrics like CTR..

Key competitors include Triple Whale, Hyros, Wicked Reports.

Sign in to access

Reveal true CAC by matching ad spend to actual revenue sources

Executive Summary

Market Validation

Market Opportunity

More in Marketing Tech

SEO, reviews & online-presence system for small service shops without a team

Cut agency workload with AI-led marketing automation and white‑labeling

Slow, low‑ranking content → RAG‑powered AI team that automates SEO briefs & drafts

Automate ad targeting & conversion tracking with LLM-driven workflows

Automate release-day media aggregation & reporting across 21 sources (seconds)

Turn low-performing sites into revenue engines — AI-driven monetization & personalization