Executive Summary

95–98% of web visitors leave anonymous, leaving marketing and sales teams blind to most of their funnel and forcing expensive, low-precision customer acquisition; this is a pervasive problem for the 5.0M target mid-market and enterprise companies that rely on multi-channel demand gen and attribution. The result today is wasted ad spend, fragmented identity across touchpoints, and poor CRM/CDP data quality, particularly for organizations that need reliable first-party attribution and lead routing. You could build a consent-first identification and enrichment layer that captures explicit user consent, performs privacy-preserving on-device/edge ML inference to resolve identity signals in real time, enriches profiles only with permitted attributes, and ships native integrations into major CRMs and CDPs. Product components would include a consent SDK, edge inference runtime, enrichment pipelines with strict data governance, and a managed services option; at a $12,000 ACV this supports the $60.0B TAM assumption. This market is attractive now because third-party cookies are dying, enterprises are consolidating CDPs/CRMs, and investment in consent-based attribution is accelerating (Market Score 95/100, Revenue Potential 94/100). Advances in embedded ML inference make low-latency resolution feasible without central heavy lifts, which aligns with privacy-first trends and buyer demand for real-time identity flows. To stand out you must make consent and auditability core product features, minimize centralized data retention via edge inference, and win by shipping deep, turnkey CRM/CDP integrations quickly; those choices address demand and create defensibility. Realistic challenges include building the signal graph and initial training data, the go-to-market friction of instrumenting consent flows, regulatory compliance burdens, and competing in a medium-competitive landscape, but the unit economics at $12k ACV and the timing of privacy trends make this worth pursuing for teams that can execute on integrations and trust-building.

Market Opportunity

95–98% of visitors leave anonymous — consent-first identification & enrichment targets a $60.0B = 5.0M target mid-market & enterprise companies worldwide × $12,000 ACV (identity + enrichment + integrations + services) total addressable market with medium saturation and a year-over-year growth rate of 25% (identity/enrichment & privacy-compliant martech growth).

Key trends driving demand: Privacy-first advertising -- as third-party cookies die, demand for consent-based identity layers rises and firms invest in first-party attribution.; Embedded ML inference -- faster and cheaper on-device/edge inference enables real-time ID resolution without central heavy lifts.; CDP and CRM consolidation -- businesses want identity signals to flow into existing CRMs and CDPs creating integration demand.; Shift to first-party data monetization -- companies prefer products that unlock value from owned signals rather than renting attention via ad networks..

Key competitors include Clearbit, Leadfeeder, Albacross, Visitor Queue, 6sense (adjacent — ABM / intent).

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95–98% of visitors leave anonymous — consent-first identification & enrichment

Executive Summary

Market Validation

Market Opportunity

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