95–98% anonymous website visitors — consent-first identification

Many B2B and mid-market consumer-facing companies—roughly the 12 million businesses in the addressable set—are losing visibility into website visitors as third-party cookies vanish and privacy rules tighten, which increases CAC and weakens funnel attribution for marketing, sales, and analytics teams. These teams struggle with poor lead capture, fragmented customer graphs, and compliance risk when attempting to re-identify anonymous traffic without explicit consent. You could build a consent-first identification platform that aims to resolve 95–98% of previously anonymous site visitors into permissioned, privacy-checked identifiers using deterministic plus consented probabilistic matching, on-device hashing, and server-side SDKs that push standardized profiles into CDPs/CRMs and ad platforms. The commercial model is aligned to the addressable-market math ($48.0B = 12M businesses x $4K ACV) with tiered plans for real-time matching, enrichment, and audited compliance features. The market is unusually attractive now—cookieless advertising, privacy-first regulation, and CDP/CRM consolidation are converging and are reflected in a market score of 92/100 and revenue potential of 94/100—creating clear demand for first-party identity solutions. To win you must deliver provable privacy guarantees (audit logs, encryption standards), clear consent UX to maximize opt-ins, and deep integrations that reduce engineering lift, recognizing realistic challenges in achieving high opt-in rates, integration complexity, and competition from entrenched vendors.