Grow · Fraud detection
Catch fake referrals, and keep the real ones.
More than a dozen checks run on every sign-up. Suspicious people are flagged with a fraud risk instead of blocked, and you decide who stays.
- Plan
- Checks on all plans, more from Plus
- Works with
- Participants, Rewards Management, reCaptcha
- Setup
- Runs on every sign-up
Customer referralDashboardRewards ManagementAll Time
Jay Bee joined with Jay B.’s link · same IP address, browser fingerprint and a similar emailnow
ParticipantsParticipants to review for fraud12
How does fraud detection work?
- 1
Every sign-up is checked
Each new participant goes through more than a dozen checks, such as the same IP address, browser fingerprint, email similarity, burner emails and data center IPs. Each one can raise the fraud risk score.
- 2
Suspicious people are flagged, not blocked
Every participant gets a fraud risk: Low, Medium or High. Risky ones go to Participants to review for fraud, so colleagues who sign up from one office still get in.
- 3
You decide
Keep them or delete them. The fraud risk is a suggestion, and the call is yours. Spot someone yourself? Click Flag Participant in their profile.
- 4
Stop it before it starts
Set double opt-in to Invitee only, so friends verify their email before they count, and add invisible reCaptcha, which no one has to solve.
What can you set up in fraud detection?
Every option by its name in the app, with the plan that includes it.
Compare plans- Basic Anti-Fraud Checks
- More than a dozen checks on every sign-up, like same IP address, browser fingerprint and email similarity.
- All plans
- Fraud Level Identification
- A fraud risk of Low, Medium or High for every participant, in the Participants and Rewards tables.
- All plans
- Burner/Temporary Email Detection
- Sign-ups from throwaway email addresses raise the fraud risk.
- All plans
- Data Center IP Detection
- Sign-ups from data center IP addresses raise the fraud risk.
- All plans
- Participants to review for fraud
- Risky participants wait in this list until you keep or delete them.
- Fraud Risk in Rewards Management
- Each reward shows the participant's Fraud Risk, so you check it before you redeem.
- Plus and up
- reCaptcha Protection
- Invisible reCaptcha v3 on your forms. No one has to pick out squares.
- Plus and up
- Double Opt-In
- Off or Invitee only. Unverified friends don't count, don't show on the dashboard and aren't in exports.
- Growing and up
- Flag Participant
- Flag anyone as fraudulent from their profile.
- Growing and up
- Advanced fraud analysis
- An on-demand AI analysis that returns a CSV of bad referrals and participants. Suggested for campaigns over 5,000 participants.
- Power
Which templates and tools work with fraud detection?
All integrations
Giveaway templateThe Leaderboard GiveawayCheck the top of the leaderboard for flagged participants before you award prizes.
Giveaway templateThe Tempting GiveawayReview flagged entries before you draw a winner.
Waitlist templateThe Startup PrelaunchReview flagged people before you let the top of the list in.
- Webhooks & APISend campaign events to your own systems, or build on the REST API.
StripeA payment counts as a referral, and rewards land as credit or coupons.
TremendousGift cards, cash and prepaid cards, sent when you redeem a reward.
SendosoGift cards, coupons or merchandise, sent when you redeem a reward.
FAQ
Fraud detection FAQ
How does Viral Loops spot fraud?
Each sign-up goes through more than a dozen checks, including the same IP address, browser fingerprint, email address similarity, burner emails and data center IPs. Each check can raise the participant's fraud risk score.
Will real people get blocked?
The fraud system flags suspicious people instead of blocking them. Colleagues who sign up from one office share an IP address, so they go to Participants to review for fraud, and you decide.
What do Low, Medium and High mean?
How risky a participant looks, based on the checks. Review the high-risk ones in the dashboard, then keep or delete them.
How does double opt-in help?
Friends verify their email before they become participants. Until they do, they don't count, don't show on the dashboard and aren't in exports. It is on Growing and up.
What is the advanced fraud analysis?
On Power, an on-demand AI analysis finds fraudulent activity in your campaign and returns a CSV of bad referrals and participants. It is suggested for campaigns with more than 5,000 participants.
Can I check a reward before it's sent?
Yes. Each reward in Rewards Management shows the participant's Fraud Risk, so you can check it before you redeem.
More Grow features
All featuresReward real referrals, not fake ones.
Plans start at $35 a month, billed annually. Try it free for 14 days, or talk to our team.