Affiliate Fraud Prevention
Fraudlogix’s Affiliate Fraud Suite enables you to stop affiliate fraud before it happens and monitor affiliate quality in real-time. Our solutions help you avoid time-consuming claw backs, angry advertisers, annoyed affiliates, and uncomfortable conversations around discrepancies.
Pixel or S2S Integrations
- Full dashboard reporting.
- Affiliate, sub-affiliate & transaction-level reporting.
- Detailed reports on why transactions are being flagged.
How it Works
Place the Fraudlogix pixel on your landing page, connect with us via your tracking platform’s API, or post data to us server-to-server.
Fraudlogix monitors traffic in real time and identifies fraudulent conversions.
View detailed reports in the Fraudlogix dashboard to identify fraudulent traffic partners and their transactions. See reporting on why transactions were flagged.
Affiliate Pixel & S2S FAQ
How do I integrate the affiliate pixel solution?
Place the Fraudlogix pixel on your landing page or conversion button. Each action (a lead or a click, for example) is evaluated and given a quality score in real-time. Based on this analysis, you decide what happens next: leads, for example, can be sent to different landing pages depending on results.
How do I integrate the server-to-server solution?
We can connect directly to your tracking platform’s API. Reporting results are then available in your Fraudlogix dashboard.
How do I see the reports?
You can receive a real-time response or log into a full-reporting dashboard.
What reports will I get?
You will be able to customize your reports from the Fraudlogix dashboard. There’s three main areas of reporting:
- Fraud Risk Scores: See the risk level of every transaction.
- Analysis Reports: Evaluate the performance of referring URLs and sources.
- Affiliate Management Reports: Analyze the volume and quality of transactions from partners and sub-partners.
What do you consider affiliate fraud?
When an affiliate is trying to cheat the advertiser by self-creating leads, installs, clicks, sales, etc. This traffic may be manually entered by bad actors or created by bots, automated scripts, or other non-human means.