Executive Summary

Most B2B revenue teams at mid-market and enterprise companies face a simple but costly reality: the majority of website visitors remain effectively anonymous, leaving marketing and sales to rely on form fills and weak probabilistic signals; industry estimates place identifiable visitors well under 30% on average, which breaks attribution and wastes paid acquisition spend. This problem is especially acute for the roughly 2.0 million mid-market and enterprise B2B websites that together represent a $20.0B addressable market under a $10K ACV assumption, where even small improvements in visitor identification translate to material pipeline gains. You could build a consent-first visitor identification platform that combines a privacy-native consent capture layer, a secure first-party identity store, AI/ML-driven entity-resolution and enrichment from public footprints, and turnkey CRM/CDP connectors; the product would aim to lift identifiable visitors by a conservative 5–15% through higher opt-in rates and higher-precision matches while logging consent and retention policies for compliance. Core features would include flexible consent flows, deterministic-first matching augmented by modern LLM-based entity resolution, and enterprise controls for data lineage and legal review. This is a timely market: browsers and regulators are phasing out third-party cookies, enterprises are prioritizing privacy-compliant vendor consolidation, and advances in AI mean you can extract higher-quality signals from sparse first-party data—trends that justify the high market score (95/100) and revenue potential (94/100). That said, competition is medium and the biggest hurdles will be driving opt-in rates at scale and satisfying enterprise procurement and legal teams with provable compliance and low false-positive identity matches. To stand out, focus on measurable ROI for revenue teams (pipeline influenced per identifiable visitor), enterprise-grade privacy guarantees, and best-in-class integrations with Salesforce, HubSpot, CDPs and tag managers; combine conservative ML models tuned for precision with transparent audit trails so legal feels comfortable certifying the use-case. Expect sales cycles to be long and multi-stakeholder, so prioritize pilot engagements with clear success metrics and build a repeatable channel play to accelerate adoption.

Market Opportunity

Most visitors go anonymous — consent-first visitor identification targets a $20.0B = 2.0M mid-market & enterprise B2B websites x $10K ACV total addressable market with medium saturation and a year-over-year growth rate of 18%.

Key trends driving demand: Cookieless tracking -- browsers and regulators are phasing out third-party cookies, creating demand for first-party, consented identification.; Privacy-first enterprise adoption -- companies are prioritizing privacy-compliant data pipelines and vendor consolidation, favoring vendor solutions that reduce legal risk.; AI/ML enrichment -- LLMs and entity-resolution models can infer high-quality signals from sparse first-party data and public footprints, improving identity match rates.; Server-side tracking & edge compute -- server-side capture reduces data loss and enables richer enrichment before CRM ingestion..

Key competitors include Clearbit (Reveal), Leadfeeder, ZoomInfo, Albacross, Workaround: GA4 + IP enrichment / reverse-IP tools.

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Most visitors go anonymous — consent-first visitor identification

Executive Summary

Market Validation

Market Opportunity

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