Anonymous website visitors don't pay payroll — consent-first ID layer

Many brands and publishers today are flying blind because anonymous website visitors don’t convert into customers and therefore “don’t pay payroll”: lost attribution, wasted ad spend, and poor personalization plague roughly 20 million potential martech buyers worldwide who collectively represent a $30.0B market. The hardest hit are D2C retailers, B2B SaaS, publishers and agencies that need reliable identity and enrichment to drive acquisition and measurement but are facing dropped cookie signals and privacy-savvy users. You could build a consent-first identity layer: lightweight SDKs and server-side collectors that capture auditable consent receipts and first-party signals, an identity graph combining deterministic and ML-driven probabilistic linking, real-time enrichment APIs and webhooks into CDPs/CRMs, all priced toward the $1.5K ACV segment to align with buyers’ procurement patterns. The product must bake in privacy controls, retention policies, and exportable audit trails so customers can prove lawful processing, while keeping latency low for personalization and measurement use cases. This is an attractive moment because platforms are deprecating third‑party cookies and regulations/consumers are elevating consent and auditability, creating an urgent window for solutions—market score 92/100 and revenue potential 88/100 reflect that buyer intent and willingness to pay. You can stand out by making consent and auditability first-class features (consent receipts, cryptographic proofs or signed logs), coupling that with best-in-class identity-resolution ML and a focused integration playbook for CDPs and tag managers; the honest challenges are trust-building, initial cold-start data scarcity, regulatory complexity and integration friction in a medium-competition field, all of which require investment in legal, partnerships and developer experience before scale.