Piperic
similar sites
‹ ProfileAI ReportTools

Sites similar to returniq.io

ReturnIQ · ranked by shared content topics & relevance
68match
returnstoeurope.com
Home - Returns Agency
1 shared topicsbusiness
66match
itassetretrieval.com
Equipment Returns | ReadyCloud
1 shared topicsbusiness
66match
cambiosydevoluciones.com
Reversso® | Simple returns and exchanges
1 shared topicsbusiness
66match
reversso.com
Reversso® | Simple returns and exchanges
1 shared topicsbusiness
66match
divineturnip.com
Divine Turnip -
1 shared topicsbusiness
66match
continuumsellers.com
Continuum | B2B Returns Made Easy
1 shared topicsbusiness
66match
2tagent.com
2Tagent
1 shared topicsbusiness
66match
returnbull.com
RETURNbull & Associates -
1 shared topicsbusiness
66match
returnly.com
Welcome Returnly Merchants | Loop Returns
1 shared topicsbusiness
65match
bavfutures.com
BAV Futures
1 shared topicsbusiness
65match
returnsenseapp.com
ReturnSense — Shopify Refund Analytics
1 shared topicsbusiness
65match
returnlift.com
ReturnLift �� Turn Returns Into Revenue
1 shared topicsbusiness
65match
returnlogic.com
Returns Management Software for Ecommerce Brands | ReturnLogic
1 shared topicsbusiness
65match
sharetown.com
Sharetown | Oversized Returns Management
1 shared topicsbusiness
65match
returncover.com
ReturnCover — Shipping Protection & Returns for Shopify
1 shared topicsbusiness
65match
craveturn.com
Welcome | Craveturn
1 shared topicsbusiness
65match
returnzap.com
ReturnZap: Shopify Returns & Exchanges App
1 shared topicsbusiness
64match
returngo.ai
Sustainable Returns & Exchanges Management - ReturnGO
1 shared topicsbusiness

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:

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.