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Swipe Files | SaaS Marketing Newsletter & Community — 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
mopsnewsletter.com ↗	72 match 1 shared topics	Marketing Operations Newsletter	en	marketing-and-advertising Prismic	robotsllmsaihumans	emailphone	none
diamond3.net ↗	72 match 1 shared topics	Diamond3 Sports Marketing & Communications	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
alchemistalchemy.com ↗	71 match 1 shared topics	Potions \| We make building newsletters easy	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
heypotion.com ↗	71 match 1 shared topics	Potions \| We make building newsletters easy	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
heypotions.com ↗	71 match 1 shared topics	Potions \| We make building newsletters easy	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
kristenhbaumes.com ↗	71 match 1 shared topics	Kristen Baumes \| Strategic Marketing & Climate Communication	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
diginstrategy.com ↗	71 match 1 shared topics	DIG IN Strategy & Marketing. Building Business & Community	United States~ en	marketing-and-advertising Squarespace Squarespace Commerce	robotsllmsaihumans	emailphone	none
pacificbrandscaling.com ↗	70 match 1 shared topics	PBS Marketing Agency \| Audience Growth, Event Promotion & Community Marketing	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
digitalmarketer.pk ↗	70 match 1 shared topics	Inbound Marketing Agency for SaaS \| Digital Marketer PK	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
pollinationprojects.com ↗	70 match 1 shared topics	Brand Marketing, Communications, PR	en	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
swiped.co ↗	70 match 1 shared topics	Swipe-Worthy » Swipe File Archive » Marketing & Copywriting Examples	Colombia en	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
dg3.com ↗	70 match 1 shared topics	DG3 \| Business Communication & Marketing Solutions	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
heyfloweel.com ↗	70 match 1 shared topics	Frank Yan — SaaS Marketing Automation Agency	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
mcconnell-marketing.com ↗	70 match 1 shared topics	McConnell Marketing & Communications \| Strategic Marketing Advisory	en	marketing-and-advertising Sanity	robotsllmsaihumans	emailphone	none
owcmarketinghub.com ↗	70 match 1 shared topics	OneWall Communities Marketing Hub	United States~ en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
bddcommunications.com ↗	70 match 1 shared topics	BDD Communications \| Science Marketing and Communications	en	marketing-and-advertising Wix	robots llmsaihumans	emailphone	none
ctrl-shift.co ↗	69 match 1 shared topics	Marketing & Communication \| Ctrl Shift \| PR	Colombia en	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
columnfivemedia.com ↗	69 match 1 shared topics	B2B Marketing Agency for SaaS and AI Companies \| Column Five	United States~ en	marketing-and-advertising WordPress	robotsllmsaihumans	email phone	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.