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Tradetracker alternatives & similar sites

Global Affiliate Marketing Network | TradeTracker.com — 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
1staffiliate.com ↗	74 match 1 shared topics	Super Affiliate Marketing Mastery	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
topofferzz.com ↗	74 match 1 shared topics	TopOfferz \|\| No.1 CPA Marketing Agency & Affiliate Network	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
csinternetmarketing2024.com ↗	73 match 1 shared topics	Affiliate Marketing	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
affise.com ↗	73 match 1 shared topics	Affise: Affiliate Marketing Software & Partner Marketing Platform	en	marketing-and-advertising WordPress	robots llmsaihumans	emailphone	none
100localnetwork.com ↗	72 match 1 shared topics	100 Local Network \| Global Digital Marketing Agency	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
onlinedigiserv.com ↗	72 match 1 shared topics	Affiliate Marketing Blog Site - OnlineDigiServ	en	marketing-and-advertising WordPress WooCommerce	robots llmsaihumans	emailphone	none
onlinestoragekit.com ↗	72 match 1 shared topics	Affiliate marketing beginners guide - Online Storage Kit	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
sammysva.com ↗	72 match 1 shared topics	Affiliate Marketing London \| Sammy’s VA®	en	marketing-and-advertising WordPress	robots llmsaihumans	emailphone	none
csnewsresource.net ↗	72 match 1 shared topics	Affiliate Marketing, Credit Card Marketing - CommissionSoup.com	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
csnewsus.net ↗	72 match 1 shared topics	Affiliate Marketing, Credit Card Marketing - CommissionSoup.com	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
cstrk.com ↗	72 match 1 shared topics	Affiliate Marketing, Credit Card Marketing - CommissionSoup.com	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
cstrkus.net ↗	72 match 1 shared topics	Affiliate Marketing, Credit Card Marketing - CommissionSoup.com	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
cstrki.net ↗	72 match 1 shared topics	Affiliate Marketing, Credit Card Marketing - CommissionSoup.com	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
cstrki.com ↗	72 match 1 shared topics	Affiliate Marketing, Credit Card Marketing - CommissionSoup.com	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
cstrk.net ↗	72 match 1 shared topics	Affiliate Marketing, Credit Card Marketing - CommissionSoup.com	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
cstrkus.com ↗	72 match 1 shared topics	Affiliate Marketing, Credit Card Marketing - CommissionSoup.com	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
topupfluencenow.com ↗	72 match 1 shared topics	Influencer & Affiliate Marketing Platform \| Upfluence	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
topupfluenceinc.com ↗	72 match 1 shared topics	Influencer & Affiliate Marketing Platform \| Upfluence	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.