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Cannabiz Media | Leading Cannabis Industry Email Marketing & CRM Software — 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
cannabiz.media ↗	100 match 2 shared topics	Cannabiz Media \| Leading Cannabis Industry Email Marketing & CRM Software	en	marketing-and-advertising	robotsllmsaihumans	email phone	none
meetmoveplnr.com ↗	68 match 2 shared topics	MovePlnr \| Revolutionizing Moving Companies with Marketing & CRM Solutions	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
marketingwise.site ↗	68 match 2 shared topics	MarketingWise – Smart Digital Marketing & Email Automation	en	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
squirrelhq.net ↗	68 match 2 shared topics	SquirrelHQ - Marketing Automation & CRM Platform	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
wincentaurimktng.com ↗	67 match 2 shared topics	Centauri Marketing \| B2B Cold Email Lead Generation	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
democentaurimktng.com ↗	67 match 2 shared topics	Centauri Marketing \| B2B Cold Email Lead Generation	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
emailcentaurimktng.com ↗	67 match 2 shared topics	Centauri Marketing \| B2B Cold Email Lead Generation	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
gocentaurimktng.com ↗	67 match 2 shared topics	Centauri Marketing \| B2B Cold Email Lead Generation	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
abellindonesia.com ↗	67 match 2 shared topics	Abell Indonesia - Global Marketing & Trading Solutions - Berlin	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
mystcmedia.com ↗	67 match 2 shared topics	All-in-One CRM & Digital Marketing Solutions \| Mystc Media	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
mlcrm.cloud ↗	67 match 2 shared topics	mlcrm — senior CRM & lifecycle marketing partner	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
current.tech ↗	67 match 2 shared topics	Influencer Marketing CRM \| Pattern Creators	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
desidelab.com ↗	67 match 2 shared topics	Growth Marketing Agency in Australia \| Deside Lab	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
dynamics365marketing.com ↗	66 match 2 shared topics	Boost Sales Using Microsoft Dynamics 365 Marketing Solutions in USA	en	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
2open.biz ↗	66 match 2 shared topics	2Open – Chinese Digital Marketing & eCommerce - 2Open	en	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
2openchina.com ↗	66 match 2 shared topics	2Open – Chinese Digital Marketing & eCommerce - 2Open	en	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
mlm.news ↗	66 match 2 shared topics	Home - MLM News \| Network Marketing and MLM Industry News and Information	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
d365-marketing-weekly.com ↗	66 match 2 shared topics	Home \| D365 Marketing Weekly	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.