{"id":11015,"date":"2026-05-05T18:39:44","date_gmt":"2026-05-06T00:39:44","guid":{"rendered":"https:\/\/attentionmedia.io\/?p=11015"},"modified":"2026-05-05T18:39:44","modified_gmt":"2026-05-06T00:39:44","slug":"the-intent-data-playbook-is-breaking-down","status":"publish","type":"post","link":"https:\/\/attentionmedia.io\/?p=11015","title":{"rendered":"The intent data playbook is breaking down"},"content":{"rendered":"
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Walk into any B2B marketing event, and someone will mention intent data. They\u2019ll talk about surge topics, in-market accounts, and the magic of knowing who\u2019s researching what. They\u2019ll show you a dashboard. It\u2019ll look impressive. Then they\u2019ll mention which provider they use, maybe a layered combination of tools.<\/p>\n

But a big problem is that a large chunk of that data comes from the same place. Your three closest competitors are buying it, too. That\u2019s intent data commoditization \u2014 and it\u2019s why your CPLs keep climbing while your conversion rates flatten.<\/p>\n

Most third-party intent data falls into one of a few buckets: publisher co-ops (where a network of B2B websites contributes anonymized data on content consumption), software review platforms (G2, TrustRadius), and bid stream data. That last one is the biggest and the least understood.<\/p>\n

Bid stream data is collected from programmatic ad exchanges. Every time a webpage loads an ad, metadata about the visitor \u2014 including the content they\u2019re viewing \u2014 flows through ad exchange bid requests. Some intent providers tap that stream to infer topic interest. The scale is enormous, with billions of signals daily.<\/p>\n

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The bid stream problem<\/h2>\n

At that scale, the tradeoffs become clear. The accuracy is lower than co-op or editorial data, the resolution is mostly account-level (IP-resolved to companies), and the privacy footing is shaky. As one provider candidly notes, \u201cB2B intent data providers relying on bidstream stand on very weak ground\u201d under GDPR, in part because real-time bidding mass collection often occurs without meaningful consent<\/a>.<\/p>\n

Some providers are even more direct about their data lineage. Some companies tell prospective customers<\/a> that their intent data delivers breadth because of its \u201cdirect access to the bidstream \u2014 the source for the most intent signals.\u201d<\/p>\n

At least they\u2019re being transparent. The point is structural: when one source supplies the largest share of an industry\u2019s intent, and most platforms either tap that source directly or resell from a handful of co-ops, what you get is a market where everyone sees the same signals at roughly the same time.<\/p>\n

The downstream economics are exactly what you\u2019d expect. According to DemandScience\u2019s 2026 State of Performance Marketing Report, 87% of organizations<\/a> say their marketing investments produce unreliable or inflated intent signals, and only 26% of those signals convert into qualified opportunities. Two-thirds of leaders say their campaign metrics frequently look successful but fail to drive revenue.<\/p>\n

If you and three competitors are bidding on the same surging accounts at the same time, all you\u2019re doing is bidding up the price of a meeting.<\/p>\n

What signal convergence should actually mean<\/h2>\n

I want to draw a line between two ideas that get tangled up.<\/p>\n