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Digital Marketing

Transform campaigns with audience personas, contextual intelligence and competitor mapping

Replace cookie-dependent targeting with 1,667+ content-derived interest personas, 3,700+ technology detections, buyer intent scoring and 703 IAB categories across 8 taxonomies. Classify any URL in under 100ms from a 120M-domain intelligence layer. Zero cookies, zero user data required.

Website Categorization API

Cookie-free audience intelligence

Classify any URL across IAB v2, IAB v3, IPTC and web-filtering taxonomies. Audience demographics, interest personas, buyer intent and technology stack returned in a single call.

Personas
1,667+
Technologies
3,700+
Domains
120M
Taxonomies
8
Explore platform
The Challenge

Digital marketing infrastructure is collapsing under privacy mandates

Third-party cookies are disappearing, walled gardens are tightening data access, and consent rates are falling below 30% in regulated markets. The targeting precision that powered a decade of programmatic growth is eroding. Marketing teams need audience intelligence derived from content, not user tracking. Content-based signals replace what cookies used to provide.

Cookie deprecation is killing targeting precision

Third-party cookies are being blocked by default across Safari, Firefox and increasingly Chrome. Cross-site tracking graphs are fragmenting. Retargeting pools are shrinking by 40-60% in cookie-restricted environments. The Website Categorization API replaces user-level tracking with 1,667+ content-derived interest personas attached to every URL, delivering audience signals without any cookies, IDs or user data.

Audience data is locked inside walled gardens

Google, Meta and Amazon control the richest audience graphs, and they do not share them. Advertisers buying open-web inventory are left with stale segments and limited visibility into who sees their ads. The API classifies every open-web URL with demographic profiles, buyer intent scores and interest personas, bringing walled-garden-grade intelligence to the open internet.

Technology stack blind spots undermine ABM campaigns

Account-based marketing depends on knowing what technology a prospect company uses. Most ABM platforms source technographic data from a handful of vendors with limited refresh cycles. The Website Categorization API detects 3,700+ web technologies on every domain in real time, from CMS and analytics tools to payment processors and security products, giving ABM campaigns a live technographic layer.

Content context is ignored in programmatic buying

Built-in DSP contextual targeting is typically domain-level and keyword-based. It cannot distinguish a product review from a complaint, or a finance article from a gambling page. The Website Categorization API classifies the individual page with a full-taxonomy model across 703 IAB categories four tiers deep, adding audience personas, demographics and purchase intent that DSP segments do not carry.

Audience Intelligence

15+ marketing-grade fields from every URL

Every request to the Website Categorization API returns structured JSON with audience composition, buyer intent, technology stack and competitive context. These fields power contextual targeting, ABM enrichment and campaign planning workflows without any user-level data collection. The same schema is available via real-time API and in the 120M domain offline database for batch analysis.

FieldTypeExampleMarketing Use
IAB v3 CategoriesarrayTechnology & Computing > Cloud ComputingContextual targeting, content segments
Interest PersonasarrayEnterprise Buyers, SaaS Evaluators, Cloud ArchitectsPersona-based campaign targeting
Audience Demographicsobjectage: 25-44, gender: 68% male, income: highAudience modeling, lookalike seeds
Buyer Intent Scorescore0.82 (high commercial intent)Lead scoring, budget allocation
Technology StackarrayReact, AWS, HubSpot, Stripe, SegmentTechnographic ABM, competitive intel
Competitor Domainsarraycompetitor1.com, competitor2.ioCompetitive landscape mapping
Sentiment Analysisper-entityPositive (brand), Neutral (industry)Campaign optimization, PR signals
Named EntitiesarraySalesforce, AWS, Series B, San FranciscoEvent triggers, funding signals
Quality & MFA Score0-100Quality: 87, MFA: 4Publisher vetting, fraud prevention
Social Profilesarraylinkedin.com/company/..., twitter.com/...Multi-channel outreach coordination
Full field reference on websitecategorizationapi.com. All fields available via real-time API and in the 120M domain offline database.
hubspot.comEnterprise Buyers · Marketing Ops · SaaS Evaluators
stripe.comReact · AWS · Ruby · Segment · Marketo
shopify.comBuyer Intent: 0.91 · E-Commerce · SMB Retailers
salesforce.comCRM Buyers · Sales Leaders · Revenue Ops
Audience Segmentation

1,667+ interest personas derived from page content analysis

The Website Categorization API infers the audience visiting each domain by analyzing the content, topics, products and services on the page. Every persona maps to buyer behavior and interest patterns, enabling campaign targeting without cookies or user data. No user data is involved at any point. Every signal is a property of the page content.

Demographics
Interest Personas
Buyer Intent

Age Distribution

Estimated age bracket composition of the site's audience across five bands: 18-24, 25-34, 35-44, 45-54, 55+. Derived from content topics, product price points and editorial voice. Use age distributions to match creative messaging and media buys to the audience most likely to convert on each placement.

Gender Split

Male and female audience ratio estimated from content signals, product categories and topic patterns. Feed gender split data into creative optimization pipelines. Adjust bidding strategies for placements skewing toward your target demographic without relying on cookie-based audience segments.

Income Level

Low, medium or high household income inference based on the price points, product categories and lifestyle signals present on the domain. Income-level segmentation powers premium brand suitability decisions. Exclude low-income-skewing inventory from luxury campaigns or target value-oriented audiences for mass-market products.

Technology Enthusiasts

Domains attracting software developers, IT managers, cloud architects, DevOps engineers and data scientists. Identified by content about APIs, infrastructure, programming languages and SaaS tools. These personas are high-value for B2B technology advertisers and enterprise software vendors running ABM campaigns across the open web.

Business Decision Makers

Enterprise buyers, C-suite executives, procurement managers and operations leaders visiting domains with pricing pages, enterprise features, ROI calculators and case studies. Target these personas for high-ACV software products, consulting services and enterprise solutions without relying on LinkedIn or walled-garden audience data.

Lifestyle and Consumer

Health and fitness enthusiasts, travel planners, food and cooking audiences, fashion buyers, home improvement consumers and luxury shoppers. Granular lifestyle segmentation for DTC brands, consumer packaged goods, travel companies and retail advertisers seeking contextual alignment between ad creative and page content.

Commercial Intent Score

A 0-1 score measuring how likely visitors to this domain are in an active buying cycle. High scores indicate pricing pages, product comparisons, checkout flows and purchase-oriented content. Use commercial intent scores to prioritize high-converting placements and allocate budget toward bottom-funnel inventory.

Research Intent

Domains where visitors are gathering information, reading reviews, comparing options and exploring solutions. These audiences are earlier in the funnel but represent high-value targets for awareness and consideration campaigns. Research intent signals help performance marketers separate top-funnel from bottom-funnel inventory.

Conversion Signals

Domains with active signup flows, free trial pages, demo request forms and checkout processes. Direct indicators of purchase readiness and conversion potential. Overlay conversion signals with category data to find the exact intersection of topic relevance and buying intent for each campaign objective.

Full audience segmentation documentation
Marketing Intelligence

Six intelligence layers for modern marketing teams

From contextual targeting without cookies to technographic account-based marketing, the same API powers every stage of the marketing pipeline. Each capability is available via real-time API calls returning results in under 100 milliseconds and in the pre-classified 102M-domain offline database for campaign planning at scale. Marketing teams integrate both access modes into existing workflows.

Contextual Targeting

Replace cookie-dependent audience segments with content-derived personas and IAB categories. The API classifies individual pages across 703 IAB v3 categories four tiers deep, attaching 1,667+ interest personas and buyer intent scores. Confidence tiers (Strong, Good, Weak, Noise) give you precision control over reach versus relevance tradeoffs. No user data involved at any point.

Contextual targeting

Competitor Intelligence

Map the complete digital footprint of competitor websites. The API returns content categories, audience demographics, technology stack, monetization signals and related domains for any URL. Identify content gaps where competitors rank and you do not. Track which categories competitors are expanding into. Feed competitive data into positioning and messaging strategies.

Competitive analysis

Technology-Based ABM

Filter the 120M-domain database by technology stack to build account-based marketing target lists. Find every company running Salesforce but not HubSpot. Identify prospects using a competitor's platform. The API detects 3,700+ web technologies including CMS, analytics, payment, security and infrastructure tools in real time across every domain lookup.

Technology detection

Audience Profiling

Every URL returns a complete audience profile: age distribution, gender split, income level, 1,667+ interest personas and buyer intent scores. No cookies or tracking pixels required. Feed audience profiles into lookalike modeling, creative optimization and media planning. The same profiles are available in the offline database for batch processing millions of domains.

Campaign Planning Database

The 102M pre-classified domain corpus lets marketing teams plan campaigns offline. Filter by IAB category, audience persona, technology stack, geography and quality score. Export as CSV, JSON or SQLite for integration with data warehouses, BI tools and campaign management platforms. The database refreshes every seven days to keep pace with the web.

Domain database

Content Gap Analysis

Compare your domain's category coverage against competitors using the same classification engine. Identify content categories where competitors attract audience attention and you do not. Discover adjacent topics where your audience overlaps with competitor audiences. Content gap intelligence feeds editorial strategy, SEO planning and paid content distribution campaigns.

Use Cases

How marketing teams use audience intelligence data

From programmatic contextual campaigns to lead enrichment, the same classification engine powers different workflows depending on the marketing function and team. Each use case runs on the real-time API for individual lookups, the offline database for batch processing, or both access modes combined into a single data pipeline.

01

Programmatic Contextual Campaigns

Classify every URL in your bid stream with 703 IAB categories and 1,667+ interest personas in under 100ms. Build contextual segments that match the precision of deprecated cookie-based audiences. Confidence scores let you tune the reach-versus-relevance tradeoff per campaign. No user data, no consent requirements, no tracking pixels.

02

Account-Based Marketing

Build target account lists by combining technology stack filters (companies using Salesforce but not HubSpot), audience persona matches (sites attracting enterprise buyers) and industry segments from 700+ IAB categories. Enrich CRM records with firmographic data from 17M+ company-linked domains. Score and prioritize accounts by buyer intent.

03

Publisher Audience Verification

Verify publisher audience claims before committing media spend. The API returns audience demographics, interest personas and quality scores for every publisher domain. Compare publisher-reported audience composition against API-derived intelligence. Detect made-for-advertising sites with the MFA scoring system (0-100) before they drain campaign budgets.

04

Market Sizing and Research

Size addressable markets by filtering 120M domains by industry, technology, geography and audience composition. Count how many domains target enterprise software buyers in the DACH region running Kubernetes. Download the full corpus as CSV, JSON or SQLite for offline analysis. The database refreshes weekly so market sizing reflects current conditions.

05

Competitive Landscape Mapping

Map the full competitive landscape including direct competitors, adjacent players and content competitors. The API returns competitor domains, shared audience segments and technology overlap for any URL. Track which competitors your prospects visit and which content categories they expand into. Feed competitive data into positioning, messaging and go-to-market strategy.

06

Lead Enrichment and Scoring

Enrich every lead in your pipeline with audience intelligence from the domain they represent. Technology stack, audience composition, buyer intent score and industry classification for every account. Feed enriched data into lead scoring models. Prioritize outreach based on technology fit, commercial intent and firmographic match against your ideal customer profile.

Campaign Pipeline

From targeting strategy to measured performance in four steps

Define your audience using content signals instead of cookie pools. Classify your full inventory with page-level precision. Activate contextual segments through your existing DSP without any integration changes. Measure and optimize performance by IAB category, audience persona and buyer intent tier.

01
Plan
Define category and persona targets from the 120M pre-classified domain database
02
Enrich
Classify placement URLs nightly, attaching IAB codes, personas and quality tiers
03
Activate
Push resulting URL and domain lists into your DSP as contextual segments
04
Measure
Compare CPA and attention by category and persona, feed winners back into targeting
Platforms

Three platforms powering digital marketing intelligence

The Website Categorization API handles real-time lookups for every URL in your bid stream. The URL Categorization Database delivers the full 120M-domain corpus for offline campaign planning. The Product Categorization API adds buyer personas for e-commerce product feeds and shopping campaigns.

Scale

Enterprise-grade marketing intelligence infrastructure

19 years of continuous operation. Real data, real customers, real scale. Every number on this page comes from production systems serving 300+ organizations.

1,667+
Interest Personas
120M+
Domains Classified
703
IAB v3 Categories
3,700+
Technologies Detected
8
Supported Taxonomies
<100ms
API Response Time
102M
Pre-Classified Offline
300+
Organizations Since 2007

Test contextual targeting on your inventory

Send us a sample of placement URLs from your campaigns. We will return the full intelligence profile for each, audience personas, IAB categories, buyer intent scores, technology stacks and quality metrics, so you can evaluate contextual targeting precision before committing.

Contact Us Audience Segmentation