Contextual Audience Segmentation

From behavioral to contextual

Cookie-era data providers built audience segments by tracking users across the web. With third-party cookies gone, the signal moved into the page itself: a mortgage-calculator guide is read by people in-market for a mortgage, an enterprise data-platform comparison is read by IT decision makers. Our engine combines a static mapping of 1,667+ personas across 33 interest categories with LLM analysis of the actual page content, producing the same segment types buyers used before cookie deprecation — without tracking a single user.

How it works

Two engines, one response — every URL gets both.

Sample API output

One call to /api/audience/segment.php for an enterprise data-platform blog:

{
  "audience_segmentation": {
    "personas": [
      {"persona": "Data Scientist", "mapped_from": "Technology & Computing > Cloud Computing", "source": "static_mapping"},
      {"persona": "Infrastructure Engineer", "mapped_from": "Technology & Computing > Cloud Computing", "source": "static_mapping"},
      {"persona": "DevOps Engineer", "mapped_from": "Technology & Computing > Cloud Computing", "source": "static_mapping"}
    ],
    "demographics": {
      "likely_age_groups": [{"range": "25-34", "confidence": 0.75}, {"range": "35-44", "confidence": 0.7}],
      "likely_gender_skew": {"male": 0.6, "female": 0.4},
      "likely_income": {"level": "upper-middle", "confidence": 0.7},
      "likely_education": {"level": "bachelor_or_higher", "confidence": 0.8}
    },
    "purchase_intent": [
      {"category": "Enterprise Software > Analytics", "confidence": 0.82},
      {"category": "Cloud Services > Migration", "confidence": 0.65}
    ],
    "life_stage": [{"stage": "Career Established Professional", "confidence": 0.75}],
    "b2b_signals": {
      "is_b2b_content": true,
      "confidence": 0.9,
      "target_role": ["IT Decision Maker", "Data Engineer"],
      "target_company_size": "enterprise",
      "industry_focus": ["Technology", "Financial Services"]
    },
    "content_context": {
      "content_type": "blog",
      "writing_style": "technical",
      "reading_level": "advanced",
      "brand_mentions": ["Snowflake", "Databricks", "AWS"],
      "price_signals": "enterprise_pricing_mentioned",
      "sentiment": "positive"
    }
  }
}