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UK Mailing House & Marketing List Specialists | Selectabase — 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
doubleoglobal.com ↗	72 match 1 shared topics	Brand & Digital Marketing Specialists	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
mediamatters.live ↗	71 match 1 shared topics	MEDIA MATTERS \| Marketing Specialist \| Gravatar	en	marketing-and-advertising WordPress	robots llmsaihumans	emailphone	partial · 7
gymreinforcements.com ↗	71 match 1 shared topics	Gym Marketing Agency Specialists \| Gym Reinforcements	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
360degreekerala.com ↗	71 match 1 shared topics	Digital Marketing Specialist \| Kochi	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
rohanks.com ↗	71 match 1 shared topics	Digital Marketing Specialist in Thrissur \| Rohan KS	en	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
thefoundryhouse.com ↗	71 match 1 shared topics	The Foundry House \| Communications and Marketing Specialist	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
jcomarketing.io ↗	70 match 1 shared topics	JCO MARKETING \| WEB3 MARKETING SPECIALIST	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
gwbpo.com ↗	70 match 1 shared topics	Digital Marketing Specialists From The Philippines	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
robinsoma.com ↗	70 match 1 shared topics	Robin (Stremlow) Bushre – Communications & Marketing Specialist	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
3dtargeting.com ↗	70 match 1 shared topics	Commercial Printing & Direct Mail Marketing \| Next Page	en	marketing-and-advertising WordPress	robots llmsaihumans	emailphone	none
brandhousela.com ↗	70 match 1 shared topics	Digital Marketing Agency \| Brand House	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
annastotsenko.website ↗	70 match 1 shared topics	Anna Stotsenko — Marketing Specialist & Creative Strategist	en	marketing-and-advertising	robotsllmsaihumans	emailphone	partial · 8
baatcheetwithmeet.online ↗	70 match 1 shared topics	Meet Pandey \| Digital Marketing Specialist in Mumbai	en	marketing-and-advertising Adobe Experience Manager	robotsllmsaihumans	email phone	none
adambotello.com ↗	70 match 1 shared topics	adam botello – Marketing specialist	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
ad-vantagemarketing.com ↗	70 match 1 shared topics	AD-Vantage Marketing \| Printing and Mailing Services \| Santa Rosa, CA	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
bradben.com ↗	70 match 1 shared topics	Business Mailing Lists -Postal, Email & Telemarketing Sales Leads - BNP Media	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
ameenawork.online ↗	70 match 1 shared topics	Ameena Al Hasina \| Digital Marketing Specialist	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
avmarketing.pro ↗	70 match 1 shared topics	Digital Marketing & Communications Specialist	en	marketing-and-advertising WordPress WooCommerce	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.