Promo Abuse Prevention
Promo abuse prevention.
Spend on real growth.
Repeated coupon claims turn campaign spend into lost margin. ShieldLabs detects multi-accounting and bot activity at redemption, helping first-order offers reach eligible customers.
Start FreeApply your promotion
Save on your first order.
Anti-Detect BrowserProxy
Protect campaign margins
Catch repeat claims before another discount is granted.
Welcome genuine shoppers
Keep eligible customers moving through checkout and offer redemption.
Protect redemption capacity
Help stop bots from flooding coupon submissions and consuming product resources.
Measure genuine acquisition
Keep abusive claims from distorting promotion performance.
Promotion eligibility
Stop repeat discount claims.
Protect campaign margin.
Fresh accounts can claim first-order discounts again. ShieldLabs detects multi-accounting behind promo code abuse to protect one-customer offer limits.
The redemption request
Stop automated redemption.
Protect your promotion.
Bots can submit coupon claims at scale. ShieldLabs detects browser automation behind promotion fraud to protect margins and keep offers open to genuine customers.
Expose disguised redemptions
Detect proxies and anti-detect browsers around promotion requests.
Find abusive campaigns
See the channels, referrers and UTM campaigns bringing risky redemption visits.
The ShieldLabs platform
More than a promo code.
The activity behind the claim.
Bring identification, account abuse detection, device and network intelligence, bot detection, risk signals and scoring into the promotion journey, with traffic quality analytics for acquisition context.
Enterprise-level functionality. Without enterprise pricing.
Accurate identification
Recognize returning visitors even when they clear cookies, use incognito mode or change their IP address. Detect linked users with different email addresses.
Identification accuracy
High-Risk Event detection
Detect account abuse out of the box by automatically identifying linked users. No fraud model training is required.
Risk signals
Get ready-made detections of automation, masking and spoofing, with named risk signals behind each result.
Bot & AI traffic detection
Detect bot activity from browser automation signals. Recognize useful crawler and AI traffic alongside abuse detections.
Risk scoring
Score every visit from 0 to 100 and classify it as trusted, suspicious or dangerous. See the signals behind each score.
Device fingerprinting
Recognize devices by their fingerprints. Identify the browser, operating system and device type. Detect headless browsers and tampering.
IP & Network Intelligence
Reveal the real IP address and geolocation behind masking. Detect VPNs, proxies and private relays.
203.0.113.42198.51.100.23Traffic quality scoring and risk analytics
Get one score for all your traffic and ready-made quality results by source, channel, referrer and UTM campaign.
Analytics dashboard
Follow the claimants.
Understand the campaign traffic.
See detected multi-accounting, bots and risk assessments around promotion activity. Find the channels and campaigns bringing risky redemption visits.
How it works
Start protecting your product.
Connect once and start receiving ready-made fraud and abuse detections.
- 01
Add the snippet or SDK
Connect your product and start identifying visitors and users.
- 02
Receive ready-made detections
Get detected fraud and account abuse in the dashboard or through API integrations.
- 03
Prevent fraud and abuse
Protect customer accounts, paid access and signup incentives in your product.
Developers
Integrate in
5 minutes.
A single API to identify, detect and score. Receive risk data through API responses and webhooks. Integrate selected data points into your business logic to prevent fraud and abuse.
Protect your users and product
Make abuse visible.
Keep genuine users moving.
Start Free FAQ
Understand the evidence.
Put it to work.
What is promo abuse?
Promo abuse is the repeated or automated use of discounts and promotional offers beyond the access intended for eligible customers.
How does ShieldLabs help prevent promo abuse?
ShieldLabs detects multi-accounting and automated promotion requests, including disguised browser and network activity. Help keep introductory offers for eligible customers and protect promotion spend.
Can this help with introductory coupon codes?
Yes. Associate the identified visit and account with the code being redeemed in your product. Previous redemptions and account relationships give the new claim context.
Does a VPN automatically mean promotion abuse?
No. VPN detection identifies network masking. ShieldLabs returns separate risk assessments and applicable account abuse detections around promotion activity.
Does ShieldLabs manage coupons or campaign rules?
Your product supplies coupon codes, eligibility and redemption records. ShieldLabs supplies identification, risk assessments, named signals and ready-made account abuse detections.
Can I identify where abusive coupon traffic comes from?
Yes. ShieldLabs shows traffic quality by channel, referrer and UTM campaign alongside detected bots, masking and multi-accounting. Find the sources bringing risky promotion activity.