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How repeat payments lower your fraud score using history
The next day, you return to the same website, click "Pay with saved card", and the payment goes through instantly.
Why?
Because a saved card (Card-on-File) isn't just convenience. It's a proof of trust, built through transaction history. Fraud engines (Forter, Sift, Riskified) reward loyalty and punish novelty.
In this article, we'll explore how Card-on-File Tokenization works, why it reduces your fraud score, and how to use this mechanism to your advantage.
Card-on-File (CoF) is the process of securely storing card data at a merchant for future transactions.
Modern systems use tokenization:
1. Transaction history
2. Consistency of behavior
3. Lack of 3D Secure
1. Merchant-Initiated Transactions (MIT)
2. Customer-Initiated Transactions (CIT)
Step 1: Choose the right service
Step 2: Complete your first transaction successfully
Step 3: Wait for the automatic debit
Step 4: Scale
1. Zero history
2. 3D Secure requirement
3. Geo-inconsistency
Fraud engines don't like novelty. They prefer predictability, history, and consistency.
Stay consistent. Stay patient.
And remember: in the world of payments, time is your most valuable asset.
Introduction: Trust Built Over Time
You're trying to pay for a subscription to a new service. You enter your card details and get a "Declined" message.The next day, you return to the same website, click "Pay with saved card", and the payment goes through instantly.
Why?
Because a saved card (Card-on-File) isn't just convenience. It's a proof of trust, built through transaction history. Fraud engines (Forter, Sift, Riskified) reward loyalty and punish novelty.
In this article, we'll explore how Card-on-File Tokenization works, why it reduces your fraud score, and how to use this mechanism to your advantage.
Part 1: What is Card-on-File Tokenization?
Technical definition
Card-on-File (CoF) is the process of securely storing card data at a merchant for future transactions.Modern systems use tokenization:
- The actual PAN is never stored.
- Instead, a unique token linked to the user's account is used.
Example:
- Your card: 4571 7300 1234 5678,
- Token in the Netflix system: tok_abc123xyz789,
- When making a repeat payment, only the token is used.
Part 2: Why CoF Lowers Fraud Score
Three levels of trust
1. Transaction history- Successful first transaction = trust baseline,
- Each subsequent payment strengthens the profile,
- After 3-5 transactions, the fraud score drops by 40-60%.
2. Consistency of behavior
- Repeated payments occur from the same device, IP, browser,
- This forms a stable behavioral graph,
- Fraud engines see: “This is the same user”.
3. Lack of 3D Secure
- Repeat payments are often exempt from 3DS (SCA exemption),
- Because the risk is considered low due to history.
Field data (2026):
- New card: fraud score = 85–95,
- Saved card (3+ transactions): fraud score = 20–35
Part 3: How Recurring Payments Work
Two types of CoF payments
1. Merchant-Initiated Transactions (MIT)- Initiated by the merchant (e.g. monthly subscription),
- Doesn't require 3DS,
- Have the lowest fraud score.
2. Customer-Initiated Transactions (CIT)
- Initiated by the user (for example, “Pay now” in your personal account),
- May require 3DS,
- Fraud score is higher than MIT, but lower than the new card.
Key Insight:
MIT is the gold standard for legitimate operations.
Part 4: How to Use CoF to Your Advantage
Building Trust Strategy
Step 1: Choose the right service- Automatically renewingsubscriptions:
- Netflix, Spotify, Adobe Creative Cloud,
- Game subscriptions (Xbox Game Pass, PlayStation Plus).
Step 2: Complete your first transaction successfully
- Use a low amount (<$10),
- Make sure the payment went through without 3DS,
- This creates a baseline of trust.
Step 3: Wait for the automatic debit
- After 30 days, the service will write off the payment as MIT,
- Fraud score will be minimal.
Step 4: Scale
- After 2-3 successful write-offs, you can increase the amount (for example, change the tariff),
- Or use the same card on other services with CoF.
Example:
- Month 1: $9.99 (Spotify) → success,
- Month 2: $9.99 (automatic) → success,
- Month 3: $19.99 (upgrade) → success.
Part 5: Why New Cards Are High Risk
Three reasons for refusal
1. Zero history- No data to assess risk → the system is as cautious as possible.
2. 3D Secure requirement
- New cards almost always require an OTP,
- If OTP is not available → decline.
3. Geo-inconsistency
- Without history, the system does not trust IP ≠ card country.
Statistics (2026):
- New card success: <45 %
- Card Save Success Rate: >85%
Part 6: Practical Recommendations
For maximum safety:
- Use CoF only on legitimate services,
- Start with small amounts (<$10),
- Wait for 2-3 automatic charges before scaling.
Avoid:
- Saving the card on suspicious sites,
- Reuse the card immediately after the first transaction,
- Change of IP/device between payments.
Rule:
Trust is built slowly and destroyed quickly.
Conclusion: Time is the best ally
Card-on-File tokenization isn't just a technology. It's a mechanism for building trust over time.Fraud engines don't like novelty. They prefer predictability, history, and consistency.
Final thought:
True security lies not in speed, but in patience.
Because in a world of fraud, every transaction is a brick in the wall of trust.
Stay consistent. Stay patient.
And remember: in the world of payments, time is your most valuable asset.
