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Mobile Attribution Privacy Coalition — 18 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Marketing And Advertising →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
affisemmp.com ↗	72 match 1 shared topics	Affise MMP: Mobile Attribution Platform	en	marketing-and-advertising WordPress	robots llmsaihumans	emailphone	none
adgyde.com ↗	70 match 1 shared topics	AdGyde \| Mobile App Attribution & Analytics	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
odysseyattribution.co ↗	69 match 1 shared topics	Odyssey Attribution	Colombia en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
airbridge.io ↗	69 match 1 shared topics	Mobile Attribution that Turns Ad Spend into Revenue \| Airbridge	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
adshift.com ↗	68 match 1 shared topics	AdShift - Mobile Measurement Platform \| Attribution & Analytics	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
drda.io ↗	67 match 1 shared topics	Dreamdata \| B2B Attribution Platform for Marketers	Denmark~ en	marketing-and-advertising Squarespace Magento	robotsllmsaihumans	emailphone	none
dreamdata.help ↗	67 match 1 shared topics	Dreamdata \| B2B Attribution Platform for Marketers	en	marketing-and-advertising Squarespace Magento	robotsllmsaihumans	emailphone	none
dreamdata.review ↗	67 match 1 shared topics	Dreamdata \| B2B Attribution Platform for Marketers	en	marketing-and-advertising Squarespace Magento	robotsllmsaihumans	emailphone	none
dreamdata.reviews ↗	67 match 1 shared topics	Dreamdata \| B2B Attribution Platform for Marketers	en	marketing-and-advertising Squarespace Magento	robotsllmsaihumans	emailphone	none
dreamdata.biz ↗	67 match 1 shared topics	Dreamdata \| B2B Attribution Platform for Marketers	Denmark~ en	marketing-and-advertising Squarespace Magento	robotsllmsaihumans	emailphone	none
dreamdata.email ↗	67 match 1 shared topics	Dreamdata \| B2B Attribution Platform for Marketers	en	marketing-and-advertising Squarespace Magento	robotsllmsaihumans	emailphone	none
dreamdata.enterprises ↗	67 match 1 shared topics	Dreamdata \| B2B Attribution Platform for Marketers	en	marketing-and-advertising Squarespace Magento	robotsllmsaihumans	emailphone	none
dreamdata.team ↗	67 match 1 shared topics	Dreamdata \| B2B Attribution Platform for Marketers	en	marketing-and-advertising Squarespace Magento	robotsllmsaihumans	emailphone	none
dreamdata.info ↗	67 match 1 shared topics	Dreamdata \| B2B Attribution Platform for Marketers	Denmark~ en	marketing-and-advertising Squarespace Magento	robotsllmsaihumans	emailphone	none
dreamdata.partners ↗	67 match 1 shared topics	Dreamdata \| B2B Attribution Platform for Marketers	en	marketing-and-advertising Squarespace Magento	robotsllmsaihumans	emailphone	none
dreamdata.network ↗	67 match 1 shared topics	Dreamdata \| B2B Attribution Platform for Marketers	en	marketing-and-advertising Squarespace Magento	robotsllmsaihumans	emailphone	none
dreamdata.pro ↗	67 match 1 shared topics	Dreamdata \| B2B Attribution Platform for Marketers	en	marketing-and-advertising Squarespace Magento	robotsllmsaihumans	emailphone	none
theusermaven.com ↗	67 match 1 shared topics	Marketing attribution software \| Usermaven	United States~ en	marketing-and-advertising	robots llmsaihumans	emailphone	none

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

shared topics how many of the same fine‑grained content topics (IAB sub‑categories) both sites cover — the main signal.
same category whether they sit in the same business / industry category.
content & title how closely their titles and page descriptions line up in wording and meaning.

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.