Solutions

Referral & Promo Abuse

Spend your marketing budget on the right users.
stopping Bad users abusing referral and promo campaigns
Referral and promo campaigns are a double-edged sword. Fraudsters use automated tools to exploit rebate and referral incentives at scale, which can result in both significant fraud losses and stagnant growth. To ensure only real users benefit from promo campaigns, businesses must be able to accurately detect which users are good and which are bad.
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Reduce fraud losses
Stop fraudsters exploiting registration and purchase rewards
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Focus on growth
Ensure your acquisition campaigns only reach real users
3
Prevent point inflation
Stop fraudsters offloading your reward points at a discount
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Case Study
A major portal for buying and selling cars had some concerns regarding some of their ad traffic and suspected that some of their website visitors were fake.

Immediately after integration, SHIELD’s real-time ad fraud prevention detected that over 80% of its paid traffic was not legitimate. Fraudulent advertisers had been returning fake clicks to meet their monthly quotas.

With this intelligence, the portal was able to make an informed decision as to the performance of certain advertisers. Within the first month of implementation, this then led to a 200% increase in ROAS.
carandbike
Clear Insights, Comprehensive Analytics
We provide unparalleled visibility into the fraud tools harming your campaign in real time.
Complete Customisation For Every Campaign
Every business sees fraud differently, which is why our customisable risk thresholds allow you to dictate what bad means to you.
How It Works
SHIELD protects you from fraudulent ad clicks and fake app installs so you can reach real users and improve your advertising ROI.
We scan clicks and installs in real time to determine whether any malicious tools or techniques are being used. Our proprietary AI and machine learning technology, combined with our global network of over 700 million user accounts, enables us to differentiate between real users and bots.
stopping Bad users abusing referral and promo campaigns
Referral and promo campaigns are a double-edged sword. Fraudsters use automated tools to exploit rebate and referral incentives at scale, which can result in both significant fraud losses and stagnant growth. To ensure only real users benefit from promo campaigns, businesses must be able to accurately detect which users are good and which are bad.
1
Reduce fraud losses
Stop fraudsters exploiting registration and purchase rewards
2
Focus on growth
Ensure your acquisition campaigns only reach real users
3
Prevent point inflation
Stop fraudsters offloading your reward points at a discount
stopping Bad users abusing referral and promo campaigns
Referral and promo campaigns are a double-edged sword. Fraudsters use automated tools to exploit rebate and referral incentives at scale, which can result in both significant fraud losses and stagnant growth. To ensure only real users benefit from promo campaigns, businesses must be able to accurately detect which users are good and which are bad.
Protect your Business from the Top 10 OWASP Vulnerabilities
SHIELD's bot mitigation solution works in real-time to protect your systems, users, and data against the OWASP Top 10.
Protect Your Mobile Apps And Websites
1
Reduce fraud losses
Stop fraudsters exploiting registration and purchase rewards
2
Focus on growth
Ensure your acquisition campaigns only reach real users
3
Prevent point inflation
Stop fraudsters offloading your reward points at a discount
1
2
3
1
2
3
Technology Highlights
Actionable Signals
Know which malicious tools and techniques are being used to abuse referral and promo codes.
Persistent Device Identification
Know when your promo codes are being abused by the same device.
The World's Largest Fraud Library
Stop never-before-seen attacks by leveraging our Global Intelligence Network of 7 billion devices and 700 million user accounts.
Powerful Network Analytics
Understand the relationships between devices, users, and referral codes.
SHIELD Sentinel
Know the exact moment a good user turns bad by continuously profiling risk through a user session.