Подробные руководства по S2S трекингу, моделям атрибуции, предотвращению фрода, управлению паблишерами и росту бизнеса — написанные командой, создающей инфраструктуру AffClix.
Choosing an affiliate tracking platform is a multi-year commitment. This guide covers the evaluation criteria that matter — tracking methods, fraud protection, payout automation, reporting depth, and total cost of ownership.
Which payout model drives the right publisher behaviour? A practical breakdown of every affiliate commission structure with benchmarks, pros and cons, and when to use each.
Click fraud costs $42B annually. Learn how affiliate tracking platforms detect invalid traffic, block bot farms, and protect campaigns using real-time ML scoring and automation rules.
Stop losing quality publishers in onboarding. A proven framework covering application flows, KYC checks, approval automation, branded portals, and the first 30 days of publisher activation.
A complete guide to affiliate publisher payout methods — covering fees, settlement speed, geographic coverage, tax reporting requirements, and which method works best for which publisher type.
Everything you need to implement server-to-server postbacks correctly — with real-world code examples for PHP, Node.js, and Python, plus troubleshooting for the most common failures.
Stop tracking vanity metrics. The 15 KPIs that actually predict affiliate network health — covering click quality, publisher performance, fraud rate, payout efficiency, and campaign ROI.
Stop manually pausing underperformers. These 7 automation rules save hours every week, protect your budget automatically, and keep your network running at peak efficiency 24/7.
Third-party cookies are dead. How affiliate networks are adapting with S2S postbacks, first-party data strategies, fingerprinting, and privacy-preserving attribution techniques.
Ask us about tracking, postbacks, pricing, or moving over from another platform.
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