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Marketing, Platforms, & Consumer Behavior | Sam Ogborn — 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
usenns.com ↗	72 match 1 shared topics	Neuromarketing Platform for Consumer Insights Research	ES~ en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
joesiev.com ↗	72 match 1 shared topics	Joe Siev — Consumer Behavior Researcher	en	marketing-and-advertising WordPress	robots llmsaihumans	emailphone	full · 13
digital-vision.co.uk ↗	71 match 1 shared topics	Freya's Marketing Blog – Consumer Behaviour	GB en	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
acoustic-france.com ↗	71 match 1 shared topics	Real-time behavioral marketing platform for B2C \| Acoustic	US~ en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
acoustic-spain.com ↗	71 match 1 shared topics	Real-time behavioral marketing platform for B2C \| Acoustic	US~ en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
acoustic-stage.com ↗	71 match 1 shared topics	Real-time behavioral marketing platform for B2C \| Acoustic	US~ en	marketing-and-advertising	robots llmsaihumans	emailphone	none
acoustic.com ↗	71 match 1 shared topics	Real-time behavioral marketing platform for B2C \| Acoustic	US~ en	marketing-and-advertising	robots llmsaihumans	emailphone	none
acousticspain.com ↗	71 match 1 shared topics	Real-time behavioral marketing platform for B2C \| Acoustic	US~ en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
acousticgermany.com ↗	71 match 1 shared topics	Real-time behavioral marketing platform for B2C \| Acoustic	US~ en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
use-saral.com ↗	71 match 1 shared topics	SARAL - Influencer Marketing Platform for Consumer Brands	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
join-saral.com ↗	71 match 1 shared topics	SARAL - Influencer Marketing Platform for Consumer Brands	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
haveculturepilot.com ↗	70 match 1 shared topics	A Retail & Consumer Brand Strategy + Marketing Agency in Texas	US~ en	marketing-and-advertising	robotsllmsaihumans	email phone	none
joinjm.com ↗	70 match 1 shared topics	JMarketing Agency \| Psychology To Influence Consumer Behaviour	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
usehashting.com ↗	70 match 1 shared topics	Hashting - Direct-to-Consumer Marketing Promotions Platform	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
hashting.com ↗	70 match 1 shared topics	Hashting - Direct-to-Consumer Marketing Promotions Platform	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
usdatacorporation.com ↗	70 match 1 shared topics	US Data Corporation \| Business & Consumer Marketing Lists	en	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	email phone	none
zvink.com ↗	70 match 1 shared topics	Marketing Automation Platform	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
symbiocoretechnologies.com ↗	70 match 1 shared topics	SymbioCore Marketing Platform	en	marketing-and-advertising	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.