Running a successful affiliate program also means protecting it from unusual and suspicious activities before it impacts your program. That’s exactly why the Fraud Center exists inside SATHI.
Think of it as a smart safety net for your affiliate program 🛡
In this guide, we’ll walk you through the different fraud flags detected by SATHI’s fraud prevention system and what each one means so you can easily understand, review, and take action with confidence.
Below are the fraud flags you may encounter inside the Fraud Center:
The ambassador’s discount code appears to be publicly shared or used outside its intended audience or channel.
This can happen when:
Codes are posted on coupon websites
Shared in deal forums
Distributed publicly beyond the creator’s audience
💡 This helps you protect margins and maintain accurate attribution.
Shopify flagged this order as high-risk based on its own fraud analysis.
SATHI relies directly on Shopify’s fraud signals for this alert.
Examples may include:
Suspicious payment activity
Unusual checkout behavior
💡 Useful for reviewing potentially risky transactions before commissions are approved.
Traffic is coming from unexpected or unusual locations compared to the ambassador’s typical audience or target market.
For example:
A US based ambassador suddenly driving large amounts of traffic from unrelated countries.
Traffic patterns that don’t align with the creator’s audience demographics
💡 Can help identify suspicious traffic sources or low-quality traffic activity.
We suspect the ambassador may have placed the order themselves based on strong identity signals such as email match, billing match, or IP match.
This typically happens when customer details closely align with the ambassador’s own information, which may suggest self-purchasing outside your program rules.
💡 Useful for detecting possible self-attribution or personal use orders.
The customer email roughly matches the ambassador’s email address.
Examples:
SATHI flags not just exact matches, but also matches that are non-obvious to basic algorithms.
💡 Helps prevent affiliates from earning commission on their own purchases if self-referrals are not allowed in your program.
This ambassador’s traffic contains paid ad identifiers from platforms like Google, Meta, or similar ad networks.
This may suggest the ambassador is using paid advertising to drive traffic using their affiliate link or discount code which may violate your brand’s affiliate guidelines.
💡 Helpful for brands that want to prevent unauthorized paid ad competition.
Fraud flags are not meant to immediately accuse ambassadors of wrongdoing. Instead, they help brands review unusual activity and make smarter payout decisions.
Reviewing these alerts regularly helps you:
Avoid paying invalid commissions
Catch suspicious activity early
Protect your affiliate budget
Keep affiliate performance data clean and accurate
Ensure rewards go to genuine, high-performing ambassadors
Keep your program trustworthy and scalable
The earlier fraud risks are identified, the easier it is to protect both your revenue and your affiliate program experience.
Still need help?
Reach out anytime with our Support team using the button at the bottom-right corner of your dashboard, or email us at [email protected].
