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Fraud Protection
Overview
Protect your referral program from abuse with automated and manual fraud prevention measures. The system automatically blocks suspicious referral activity while giving you tools to manually manage problem users.
Automatic Fraud Prevention
The system automatically prevents common referral fraud patterns.
Same Email Prevention
Prevents Advocates from referring themselves using the same email.
How It Works:
Advocate email: sarah@example.com
Friend email: sarah@example.com
Result: BLOCKED
Reason: Same email addressPrevents:
- Self-referrals
- Creating fake friend accounts with same email
- Single person claiming both rewards
Same IP Address Prevention
Prevents referrals from the same IP address.
How It Works:
Advocate IP: 192.168.1.100
Friend IP: 192.168.1.100
Result: BLOCKED
Reason: Same IP addressPrevents:
- Self-referrals from same device/location
- Household members gaming the system
- Single person using multiple accounts
Important Note:
- Legitimate household referrals may be blocked
- Consider communicating this limitation
- Manual unblock available if needed
Same Cookie Prevention
Prevents referrals when the same browser/device is used.
How It Works:
Advocate browser cookie: abc123
Friend browser cookie: abc123
Result: BLOCKED
Reason: Same cookie detectedPrevents:
- Self-referrals from same browser
- Using incognito/private browsing
- Quick account switching on same device
Manual Blocks
Block specific customers or IP addresses/emails preemptively.
Block Individual Customers
Prevent specific customers from participating in referral program.
Process:
- Navigate to Referral > Fraud Protection
- Click Block Customer
- Search for customer by name or email
- Select customer
- Click Add to Blocklist
- Customer is blocked
What Happens:
- Customer cannot share referral links
- Customer cannot claim Friend discounts
- Existing referrals remain valid
- Customer sees "You are not eligible for the referral program"
Use Cases:
- Repeated fraud attempts
- Terms of service violations
- Abuse of program
- Multiple suspicious referrals
Blocklist by Email
Add email addresses to blocklist to prevent participation.
Process:
- Navigate to Fraud Protection
- Go to Email Blocklist section
- Click Add Email
- Enter email address
- Add note (reason for block)
- Save
What Happens:
- Email cannot be used as Advocate
- Email cannot be used as Friend
- Applies to future account creation
- Existing accounts with email are blocked
Use Cases:
- Known fraudulent emails
- Temporary email services
- Previously blocked users creating new accounts
Example:
Blocked Emails:
- fraud@tempmail.com (Reason: Temporary email service)
- abuser123@example.com (Reason: Multiple fake referrals)
- spam@gmail.com (Reason: Repeated violations)Blocklist by IP Address
Add IP addresses to blocklist to prevent participation.
Process:
- Navigate to Fraud Protection
- Go to IP Blocklist section
- Click Add IP Address
- Enter IP address
- Add note (reason for block)
- Save
What Happens:
- IP cannot create referrals
- IP cannot claim Friend discounts
- Applies to all accounts from that IP
- Applies immediately
Use Cases:
- Known fraud IP addresses
- VPN/proxy services
- Data center IPs
- Repeated abuse from location
Example:
Blocked IPs:
- 192.168.1.50 (Reason: Multiple self-referral attempts)
- 10.0.0.100 (Reason: VPN service)IP Blocking Considerations
IP blocking may affect legitimate customers:
- Shared office/public WiFi
- Dynamic IPs (changes over time)
- Household members on same network
Use IP blocking sparingly and for clear fraud cases.
Unblocking
Remove blocks when appropriate.
Unblock Customer
Remove a customer from the blocklist.
Process:
- Navigate to Fraud Protection
- Find customer in Blocked Customers list
- Click Unblock
- Confirm action
- Customer can now participate
Use Cases:
- False positive
- Customer resolved issue
- Legitimate explanation provided
- Temporary block expired
Remove from Email Blocklist
Process:
- Navigate to Email Blocklist
- Find email in list
- Click Remove
- Confirm action
Remove from IP Blocklist
Process:
- Navigate to IP Blocklist
- Find IP in list
- Click Remove
- Confirm action
Monitoring Fraud Patterns
Watch for suspicious activity.
Red Flags:
- Multiple referrals from same Advocate in short time
- High percentage of blocked referrals for one Advocate
- Unusual spike in referral claims
- Many referrals from similar email patterns (test1@, test2@, etc.)
- Referrals from disposable email services
- High referral activity with low purchase conversion
Actions to Take:
- Review suspicious Advocate's referrals
- Check Friend email patterns
- Verify Friend purchases are legitimate
- Block if fraud is confirmed
- Consider tightening fraud rules if needed
Best Practices
1. Communicate Limitations
Let customers know about fraud prevention:
In Terms and Conditions:
- Referrals must be to different people
- Self-referrals are not allowed
- Same household referrals may not be eligible
- Fraudulent activity will result in removal from program2. Monitor Regularly
Check fraud protection weekly:
- Review blocked referrals
- Look for patterns
- Update blocklists
- Unblock false positives
3. Be Fair
Not all blocked referrals are fraud:
- Household members may share IP
- Couples may shop from same device
- Office referrals may share network
Investigate before permanent blocks.
4. Act Quickly
When fraud is detected:
- Block immediately
- Review all referrals from that Advocate
- Check for related accounts
- Consider point adjustments
5. Document Decisions
Keep notes on:
- Why customers were blocked
- Investigations performed
- Evidence of fraud
- Communication with customer
Related Pages
- Referral Settings - Configure referral program basics
- Sharing Options - Configure sharing methods
- Referral Analytics - Monitor program performance
Summary
Fraud Protection safeguards your referral program through automatic detection of common fraud patterns (same email, IP, and cookie) and manual tools to block problematic users. By monitoring blocked referrals and maintaining blocklists, you can prevent abuse while ensuring legitimate referrals are properly credited.
Balance fraud prevention with customer experience - not all blocked referrals indicate malicious intent. Regular monitoring and fair judgment help maintain a healthy referral program that rewards genuine advocacy while protecting your program economics.