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MarketingData.App - Data science for modern marketers — 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
marketingmemetics.com ↗	77 match 1 shared topics	Marketing Memetics - Memetic Strategy for Modern Marketing	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
mikesdatamarketing.blog ↗	76 match 1 shared topics	The Marketing Science Signal	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
marketerfocus.com ↗	74 match 1 shared topics	Marketer Focus - The Resource for Modern Marketing Minds	en	marketing-and-advertising Sanity	robotsllmsaihumans	emailphone	none
threebearsdata.com ↗	73 match 1 shared topics	Three Bears Data — Marketing Analytics & Data Science	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
simmonsonmarketing.com ↗	71 match 1 shared topics	Simmons_On_Marketing \| A Commentary on Marketing in the Modern Age	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
marketingdataconnectors.com ↗	71 match 1 shared topics	Marketing Data Connectors: Top 7 Tools for Marketers	en	marketing-and-advertising	robotsllmsaihumans	emailphone	partial · 8
webinarwell.com ↗	70 match 1 shared topics	The modern marketers guide to webinars. By webinar hosts - for webinar hosts \| Webinar Well	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
adtrackr.org ↗	70 match 1 shared topics	Adtrackr – AI Data Science & Analytics WordPress Theme	en	marketing-and-advertising WordPress	robotsllmsaihumans	email phone	none
outdoormarketers.com ↗	70 match 1 shared topics	Leading Digital Marketing for Hunting \| Outdoor Marketers	United States~ en	marketing-and-advertising WordPress Lightspeed	robotsllmsaihumans	email phone	none
boostgrow.com ↗	70 match 1 shared topics	BoostGrow \| Modern Marketing & Remarketing Solutions	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
marketful.com ↗	70 match 1 shared topics	Marketful: Marketing News & Playbooks	en	marketing-and-advertising	robots llmsaihumans	emailphone	none
9tofivers.com ↗	69 match 1 shared topics	Remarketerz - Re-Defining Marketing For The 21st Century	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
marketerdb.com ↗	69 match 1 shared topics	MarketerDB - Find Marketing Tools	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
marketingdatascience.com ↗	69 match 1 shared topics	Unlocking the Power of Marketing Data Science	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
marketingmo.com ↗	69 match 1 shared topics	Brand Science \| Brand Strategy \| Marketing MO	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
marketerasia.com ↗	69 match 1 shared topics	Marketer Asia \| Marketing Playbook for Asia	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
marketmyywork.com ↗	69 match 1 shared topics	Market Myy Work \| Modern Marketing Agency and Growth Partner	en	marketing-and-advertising WordPress	robots llmsaihumans	emailphone	none
thinkonlineinfluence.com ↗	69 match 1 shared topics	Behavioral Science for Online Marketing — OII	en	marketing-and-advertising WordPress	robotsllmsaihumans	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.