Demographic, interest, purchase-intent, and B2B firmographic profiles for 102M+ domains — derived entirely from content analysis. No tracking pixels, no consent walls, no third-party cookies. Works across every browser, every device, every privacy regime.
With 40%+ of web traffic already cookieless and third-party cookies under regulatory fire globally, advertisers and publishers face a structural gap. Audience intelligence that once relied on tracking pixels now needs a fundamentally different signal — one derived from content, not consent dialogs.
Safari and Firefox blocked third-party cookies years ago. Chrome’s Privacy Sandbox is reshaping how targeting works. Regulatory bodies across Europe, California, Brazil, and dozens of other jurisdictions have made consent-based tracking increasingly costly and legally risky. The advertising industry that built its infrastructure on user-level tracking is staring at a foundation that is crumbling in real time. Waiting for a replacement is not a strategy — the replacement needs to be content-derived, privacy-safe, and already working at scale.
When publishers cannot attach audience signals to their inventory, they sell on context alone — and context without data is a discount. Buyers pay premium CPMs for audiences, not placements. Publishers who enrich their ad requests with demographic, interest, and purchase-intent segments derived from their own content command 15–40% higher CPMs. The data layer that enables this enrichment is what our Cookieless Audiences platform provides — audience intelligence attached to 102M+ domains.
DSPs and trading desks built their bidding logic on audience segments derived from cookies, device IDs, and behavioral data. Without those signals, bid requests arrive with no audience context — and bidding without context is guesswork. Contextual targeting fills part of the gap, but contextual without audience enrichment misses the “who” entirely. Our platform provides the audience dimension that contextual alone cannot deliver: who visits this content, what they care about, and what they intend to buy.
B2B advertisers and ABM platforms depended on IP-based reverse lookups and third-party intent data to identify companies visiting their content. With remote work dispersing employees across residential IPs and privacy regulations restricting IP tracking, the old signals are failing. Our B2B firmographic profiles — industry, company size, job function — are derived from the content itself, not from visitor identity, making them privacy-safe and effective regardless of where employees work.
Every profile is derived from the content of the domain itself — what the site publishes, how it structures information, what topics it covers, and what commercial intent it signals. No user tracking, no behavioral inference, no consent dependency.
Age range, gender distribution, income bracket, education level, and household composition derived from content topic analysis. A personal finance blog that covers retirement planning, Medicare supplements, and estate planning signals a 55+ demographic without tracking a single visitor.
29 IAB interest groups mapped from content analysis. A domain that publishes recipes, restaurant reviews, and kitchen equipment guides signals a Food & Drink interest. Multi-topic sites receive multiple interest assignments with confidence scores, so buyers can target primary interests and exclude secondary noise.
283 purchase-intent segments derived from commercial content patterns. A site reviewing specific product categories, publishing buying guides, or hosting comparison tables signals purchase intent in those categories. Buyers use these segments to target users at the consideration and evaluation stages of the purchase funnel.
Industry vertical, company size indicators, job function signals, and technology stack profiles derived from business-focused content. A SaaS review site covering enterprise CRM platforms signals IT decision-makers at mid-to-large companies — actionable B2B targeting without IP lookups or third-party intent data.
Pre-built personas that combine demographic, interest, and intent signals into actionable targeting groups. “Affluent Tech Enthusiast, 25–44, Purchase-Intent: Electronics” is a single persona that a buyer can activate without building custom segment logic. Each domain in our corpus carries every applicable persona assignment.
Every audience signal maps to IAB v2 and v3 taxonomies natively. Buyers and sellers speak the same taxonomy language — no proprietary segment IDs that require translation tables. Integration with existing programmatic infrastructure is direct because the taxonomy is already the industry standard.
Our pipeline classifies every domain in our 102M-domain corpus and then derives audience profiles from the classification. The content a site publishes tells us who reads it. The commercial patterns within that content tell us what those readers intend to buy. The combination of topic, tone, and commerce signals produces a multi-dimensional audience profile that works without any user-level data.
Publishers and SSPs query our platform to enrich their bid requests with seller-defined audiences. Buyers and DSPs use the same data to build inclusion lists and bid multipliers based on audience signals. Both sides draw from the same classification corpus — which means audience definitions are consistent across the supply chain.
Enter any URL and get demographic, interest, purchase-intent, and B2B profiles in real time. No sign-up, no credit card.
