Winning Evidence
Before diving into evidence strategy, understand:
- Chargeback lifecycle and response timing
- Representment basics and when to fight
- Reason codes by network (Visa, Mastercard)
- Fraud vs. friendly fraud distinction
Most chargeback responses lose because merchants submit the wrong evidence. You're not arguing with a jury. You're arguing with an issuer analyst who has 30 seconds to review your case and a checklist to follow.
Win rates are 20-30% for typical merchants. Best-in-class hits 40-50%. The difference is knowing what issuers actually look for.
What Matters
- Issuers have checklists. Match the checklist, win the dispute.
- Transaction-specific evidence beats boilerplate. Your TOS doesn't prove this customer got this product.
- Visa CE 3.0 can exclude fraud disputes from your VAMP ratio. But only if you have the right data.
- Less is more. A 15-page PDF gets skimmed. Three strong pieces of evidence get read.
- Timing matters. Evidence of usage after the dispute date is gold.
What Issuers Look For
Issuer analysts evaluate disputes using network reason code requirements. Each reason code has specific evidence that proves or disproves the claim.
Fraud Claims (Reason Code 10.x)
Customer claims they didn't authorize the transaction. This could be true fraud or friendly fraud.
Winning evidence:
- Device fingerprint matches prior purchases
- IP address matches cardholder location
- Shipping address matches billing address (strong AVS match)
- Prior successful transactions on same card
- Customer login after purchase date
- Customer communication acknowledging purchase
Not helpful:
- Signed TOS (proves nothing about this transaction)
- Generic fraud prevention description
- "We have robust security" statements
Product/Service Issues (Reason Code 13.x)
Customer claims they didn't receive what was promised.
Winning evidence:
- Delivery confirmation with signature
- Tracking showing delivery to billing address
- Photos of product as shipped
- Customer communication confirming receipt
- Customer usage logs after delivery
- Refund/exchange offer made and declined
Not helpful:
- Generic shipping policies
- Average delivery times
- "Most customers are satisfied" claims
Subscription/Recurring (Reason Code 13.2, 13.7)
Customer claims they cancelled or didn't authorize recurring billing.
Winning evidence:
- Original consent with timestamp and IP
- Terms they agreed to at signup
- Renewal notification emails (with delivery proof)
- Account login activity after alleged cancellation
- No cancellation request in support tickets
- Continued usage after disputed charge
Not helpful:
- Pointing to cancellation policy they didn't follow
- "They should have cancelled properly"
- Generic subscription terms
Visa Compelling Evidence 3.0
CE 3.0 is Visa's program that can exclude qualifying fraud disputes from your VAMP ratio. It requires specific data proving the cardholder has a history with you.
CE 3.0 Requirements
To qualify, you must prove at least two of these match between the disputed transaction and 2+ prior undisputed transactions:
| Data Element | What It Is |
|---|---|
| Device fingerprint | Same device used for disputed and prior transactions |
| IP address | Same IP for disputed and prior transactions |
| Shipping address | Same delivery address |
| User account | Same logged-in account |
Transaction History Requirements
The prior transactions must be:
- At least 120 days before the disputed transaction
- No more than 365 days before the disputed transaction
- Undisputed (no chargebacks or fraud claims)
- On the same card number
What CE 3.0 Does
If you meet CE 3.0 requirements:
- The fraud dispute can be reversed
- The TC40 fraud report can be excluded from VAMP
- Your chargeback ratio is protected
Operator Questions for CE 3.0
"Are we collecting and storing device fingerprints and IP addresses in a way that supports CE 3.0 submission? Can we query prior transactions for matching data elements?"
Most processors now support CE 3.0 data submission. But you need to:
- Collect the data at transaction time
- Store it accessibly
- Query it when disputes arrive
- Submit it in the correct format
Digital Goods Evidence
Digital goods are harder to prove because there's no physical delivery. See digital goods fraud risks for prevention strategies.
What Works for Digital
| Evidence Type | Why It Helps |
|---|---|
| IP at purchase | Links transaction to location |
| IP at usage | Proves access after purchase |
| Account login timestamps | Shows ongoing usage |
| In-app activity logs | Proves they used the product |
| Download records | Proves they received delivery |
| License key activation | Ties specific purchase to usage |
| Streaming/viewing history | Proves content consumption |
Digital Evidence Package
For digital goods disputes, compile:
- Purchase timestamp and IP
- Account creation date (if before dispute)
- Login timestamps after purchase
- Usage activity (features used, content accessed)
- Download or activation records
- Any customer support tickets (especially ones acknowledging the product works)
Evidence Organization
How you present evidence matters as much as what you present.
Format Guidelines
| Do | Don't |
|---|---|
| Single PDF, clearly labeled | Multiple attachments |
| Page numbers and sections | Wall of text |
| Key evidence on first page | Bury important items |
| Highlighted relevant sections | Raw log dumps |
| Clear timestamps | Ambiguous dates |
Ideal Response Structure
Page 1: Summary
- Transaction details (date, amount, last 4)
- Customer details (name, address, email)
- 2-3 sentence summary of why this should be reversed
Page 2-3: Key Evidence
- The strongest pieces proving your case
- Screenshots with timestamps
- Highlighted delivery confirmation
Page 4+: Supporting Documentation
- Full logs if needed
- Complete communication history
- Policies (only if directly relevant)
What Wastes Analyst Time
- 30+ page responses
- Unformatted server logs
- Irrelevant company history
- Emotional appeals
- Legal threats
- Screenshots of your TOS homepage
Inquiry Deflection
Many disputes start as inquiries before becoming chargebacks.
Inquiry vs. Chargeback
| Stage | What It Is | Your Opportunity |
|---|---|---|
| Inquiry | Issuer asking for information | Resolve here, no chargeback filed |
| First chargeback | Formal dispute filed | Representment required to reverse |
| Pre-arbitration | Second review | Higher stakes, more evidence needed |
| Arbitration | Network decides | Expensive, rarely worth it |
Deflecting at Inquiry
If you can resolve at the inquiry stage:
- No chargeback hits your ratio
- No chargeback fee
- Lower cost of resolution
How to enable inquiry deflection:
- Enroll in Order Insight (Visa) and Consumer Clarity (Mastercard)
- Provide rich transaction data (product details, images, tracking)
- Respond to inquiries within 24 hours
- Offer proactive refunds for clear losses
Evidence Templates: Use Carefully
Template responses are less effective than you think. Issuers see the same templates repeatedly. Focus on transaction-specific evidence, not boilerplate.
What Templates Can't Do
- Prove this specific customer received this specific product
- Show device or IP matching
- Demonstrate customer usage
- Provide unique transaction details
When Templates Help
Templates are useful for:
- Consistent formatting
- Reminder checklists (what evidence to gather)
- Standard policy language (as supplement, not substitute)
Building Useful Templates
Instead of boilerplate responses, build evidence checklists by reason code:
| Reason Code | Evidence Checklist |
|---|---|
| 10.4 (Fraud CNP) | □ 3DS data □ Device fingerprint □ IP match □ Prior transactions □ AVS match |
| 13.1 (Not received) | □ Tracking # □ Carrier □ Delivery confirmation □ Signature □ Delivery photo |
| 13.2 (Cancelled recurring) | □ Original consent □ IP at signup □ Cancellation policy □ No cancel request □ Usage after dispute |
| 13.3 (Not as described) | □ Product description at sale □ Images □ Return policy □ Correspondence □ Refund offered? |
Use this checklist before responding. Missing evidence = likely loss.
Template Dos and Don'ts
| Do | Don't |
|---|---|
| Use templates for document formatting | Copy-paste the same letter for every dispute |
| Include evidence collection reminders | Submit generic "we have a fraud prevention system" |
| Standardize header/transaction info | Skip transaction-specific details |
| Create reason-code-specific structures | Use one template for all reason codes |
Evidence Assembly Workflow
- Receive chargeback notification
- Check reason code → pull corresponding checklist
- Gather evidence from each checklist item
- Identify gaps → decide if worth fighting
- Assemble package in standard format
- Submit with summary highlighting strongest evidence
Gather all your evidence first. Then use a template to format it professionally. Never let the template drive what evidence you include.
Test to Run
30-day evidence improvement audit:
Week 1: Baseline
- Pull win rate by reason code for past 90 days
- Review 10 lost disputes for evidence gaps
- Identify most common reason codes
Week 2-3: Improve
- Create evidence checklist by reason code
- Verify CE 3.0 data is being collected
- Train team on new evidence standards
Week 4: Measure
- Compare win rate to baseline
- Identify remaining gaps
Success criteria: 10-20% improvement in win rate within 60 days.
Scale Callout
| Volume | Focus |
|---|---|
| Under $100k/mo | Manual evidence collection. Focus on top 2-3 reason codes. Don't over-invest in low-volume disputes. |
| $100k-$1M/mo | Standardized evidence packages. CE 3.0 data collection. Track win rates by reason code. |
| Over $1M/mo | Automated evidence assembly. Dedicated representment team or vendor. Real-time win rate optimization. |
Where This Breaks
-
True fraud. If the transaction was actually fraudulent, no evidence will save you. The card was stolen, the cardholder is the victim. Accept the loss.
-
Service failures. If you actually failed to deliver, fighting the chargeback is wasted effort. Refund, learn, fix the problem.
-
Friendly fraud with no data. If you don't collect device fingerprints, IPs, and usage logs, you can't prove legitimate transactions. Prevention (data collection) beats cure (representment).
Analyst Layer: Metrics to Track
| Metric | What It Tells You | Target |
|---|---|---|
| Overall win rate | Representment effectiveness | > 30% |
| Win rate by reason code | Where to focus | Varies by code |
| Response time | Meeting deadlines | < 5 days average |
| CE 3.0 qualification rate | Data collection health | > 50% of fraud disputes |
| Evidence completeness score | Process quality | Internal benchmark |
Win Rate Benchmarks by Reason Code
| Reason Code Category | Typical Win Rate | Good Win Rate |
|---|---|---|
| Fraud (10.x) | 15-25% | 30-40% |
| No merchandise (13.1) | 40-60% | 60-80% |
| Not as described (13.3) | 20-30% | 35-45% |
| Subscription (13.2, 13.7) | 25-35% | 40-50% |
If your win rate is significantly below typical, you have an evidence or process problem.
Next Steps
Just getting started with representment?
- Review the representment workflow → Step-by-step response process
- Pull your last 10 chargebacks → What evidence did you have? What was missing?
- Implement device fingerprinting and IP logging → Start collecting CE 3.0 data now
Improving your win rate?
- Segment by reason code → Focus on codes where you have evidence advantage
- Build evidence templates by reason code → Standardize your response packages
- Set up evidence collection at transaction time → You can't gather evidence after the fact
Already fighting chargebacks?
- Track win rates by reason code → Find your weak spots
- Review lost cases → What evidence would have won?
- Prevent chargebacks first → Prevention beats representment every time
Related Pages
- Representment - Fighting chargebacks
- Compelling Evidence - Detailed evidence guide
- Chargeback Lifecycle - Full dispute flow
- Fraud vs. Friendly Fraud - Classification
- Zero Point Nine Panic - Crisis response
- Chargeback Prevention - Prevention hierarchy
- Device Fingerprinting - CE 3.0 matching
- Reason Codes - Code-specific evidence
- Time Frames - Response deadlines
- Network Programs - VAMP ratio protection
- Chargeback Vendors - Representment services
- Chargeback Metrics - Win rate tracking