Referral & Coupon Fraud: How it impacts the Advertiser’s ROI?
Imagine that you have set up a well-planned referral campaign to gain new customers for your app. It started to pick up speed and referrals started overflowing to claim the rewards. Sounds so good, right? But eventually, you realize that the number of referral claims is high, but the ROI from the referral campaign is low. This might be a sign that you have become a victim of Referral Fraud. This type of fraud not just impacts the marketer monetarily but also leaves a deep impact on its brand reputation. Know in detail about referral fraud and how fraudsters commit it in different forms. What is Referral and Coupon Fraud? This type of fraud happens when fraudulent participants create illegitimate referrals or misuse coupons to commit fraud. They play the system to leverage the benefits of the rewards and discounts, while the advertisers end up wasting ad spends on invalid traffic instead of attracting legitimate new users. How does Referral Fraud happen? First-time User Fraud First-time user fraud is the most frequent fraud that a user does to take benefit of the referral program. In a normal case, a referral code is valid for first-time users only. However, the fraudsters use these codes multiple times by using BOTs, Simulators, Device Farms, etc. For e.g., in the case of a Ride App like ola/uber, the users desperately try to hunt for free rides via the first-time promo code by creating multiple or fake email ids or by using fake/virtual phone numbers to show themselves as new users and drain the advertiser’s ad budget. Self-Referral Another type of referral fraud is when the same user is the referrer and the referee i.e., the same users find fraudulent ways to get the benefits. They use different fraudulent practices to avail the benefits of the referral program. They use the same email IDs and different phone numbers. And in some cases, they even use the same phone numbers. Fraudulent Coupon Codes Referral codes are a cost-effective way for advertisers to reward loyalty, drive purchases and encourage brand value. Referral code fraud is a lucrative way to gain incentives, rewards, bonuses, etc. However, when running these campaigns, the fraudsters manipulate the coupon codes through scams such as fake or expired coupons. When the user attempts to use this code, they don’t get the benefits claimed by the advertiser. This directly impacts the brand image, and the users lose their trust in the brand. App Cloning App cloning or Parallel Space gives an advantage to the user to log into two different user accounts simultaneously by creating a separate parallel space on Android devices. The user can basically create and manage login for two accounts on one device and create separate profiles for business and personal accounts for the same apps as Facebook, WhatsApp, riding apps, gaming apps, etc. With the help of parallel spacing, they can refer themselves and redeem the benefits of the referral program. An example of app cloning in a device Using Bots/emulators & VPN Proxies The fraudsters use their age-old tools like Bots & VPN Proxies to fake users and redeem the benefits of the referral program by either reinstalling the app or by manipulating the device parameters like Device ID, Advertising ID, IMEI, Device IPs, etc. With the help of VPN & proxies, the fraudsters fake their device location which makes it hard to detect the fraudulent IP addresses. On the other hand, sophisticated bots hack devices to use the genuine user’s information for redeeming the benefits of the referral program. Impact on the brand The advertiser runs referral campaigns to bring in new customers and retain existing customers. However, when the fraudsters seep their way into the campaigns, the advertiser not just loses money but also compromises their brand image. Due to the fraudulent coupon codes and malicious practices happening in referral programs, both the new users and existing users are impacted. The fraudsters engage in referral campaigns which leads to the wastage of the advertiser’s ad budget on invalid traffic. As a result, when new or existing users are unable to avail the benefits of the referral program, they lose interest and trust in the brand. Furthermore, the advertisers incur low ROI and a negative impact on their brand image. How Advertisers Can Protect Their Referral Campaigns Do Manual Checks: The advertiser can do a manual check on the referral campaigns by closely analyzing the phone numbers, emails, and even domains. This way they can do a quick analysis of the incoming traffic and take preventative actions to protect the campaign. However, it is difficult to detect sophisticated bot patterns manually. Partner with Fraud Detection Vendor: To ensure clean traffic and save ad spends on referral campaigns, the advertisers must partner with an ad fraud detection provider. We provide a solution based on the device environment instead of just analyzing the IP repetitions. We integrate our SDK (in the case of the app) & DSS (in the case of the website) to attribute the data coming from referral campaigns. Further, we use key validation checks like device IDs, email (fake/disposable email ids), domain validation, digital reputation, mobile number validation (disposable phone numbers), APP Cloning, and IP data to analyze and detect fraudulent sources. We provide real-time status of the fraud along with fraud score to the advertisers and help in blocking the fraudulent device IDs. Real Case of a Leading Hotel Chain Case Analysis About 23% of the coupon codes were misused. The same coupon code was used multiple times for a device ID. Invalid email IDs were used and were coming as repeated many times. We tracked email IDs with Google (we can validate an email ID without sending an email) and identified bad email IDs. A bot pattern was detected where the simulator was triggering 2 times for a device ID and the same process was repeated for all the new device IDs. We identified the Phone Numbers which were being used were fraudulent. The fake/Virtual phone numbers were being used which did
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