Perfluence review

Perfluence pays for results rather than on a flat retainer: cpa is the listed commission model, and the terms are either a fixed fee or a CPA for the result delivered. Revenue share and pay per lead are not part of those terms, so publishers who want those structures should look at Admitad's cpa, cpl and cps instead.

Payment runs on the network's own cycle, Every 2 weeks, rather than a billing date the publisher sets. Knowing the rhythm in advance helps with budgeting, since the schedule does not move when an invoice is raised. For a publisher, that regularity is often what turns affiliate income into a predictable line rather than an occasional surprise.

Perfluence reports 300,000 publishers, above the 30,000 recorded across the networks tracked here and above the 20,000 for this category. A base that size points to steady demand for offer pages, though it counts signups rather than what each publisher earns.

The contact route the network states is email, so questions are handled in writing. Email is the most common route among the networks compared here at 66.1%, while a help centre appears at 58.9% and phone at 26.6%. If you need a voice conversation, weigh this before joining.

The network is operated by LLC Perfluence, registered in Russia, and has been trading since 2019. A named legal entity tells publishers which company holds the agreement and sends the money. If you promote across borders, the home country is worth weighing, since payment handling and tax paperwork tend to follow it.

It suits publishers who push a specific offer for a fixed fee or CPA and who prefer earnings arriving on a set cycle. It fits less well for anyone whose income depends on revenue share, since cpa is the only model on offer, or for publishers who want a long list of verticals to pick from.

A8.net lists 3,726,707 against Perfluence's 300,000, and Admitad runs a wider set: cpa, cpl and cps. So Perfluence is the smaller of the two by publisher count, while offering the simpler commission structure. If breadth of models matters more than simplicity, weigh both against it.