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Customer Used Product for Months Then Filed Chargeback: How to Win

By Alexander Georges2025-12-05

Detail usage logs as strongest evidence

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TL;DR: If a customer used your product for months then filed a chargeback, prioritize time-stamped usage records, subscription and billing logs, and clear communications showing continued access. Collect machine-readable logs (login timestamps, API calls, download history, feature usage), stitch them into a concise narrative, and submit them with original receipts and cancellation records; these items consistently improve the odds in disputes involving friendly fraud after usage. Deadlines vary by processor—check your notification or the official reason code guide.

Who This Is For

This guide is written for digital product and SaaS merchants—founders, customer success leads, and operations managers—who face an increasingly common situation: a customer who legitimately used your product for weeks or months, then later claims the charge was unauthorized or requests a chargeback. If you sell subscriptions, downloadable digital goods, or time-based access and need to build evidence that usage occurred after the billing date (or for an extended period), this guide walks you through exactly what to collect and how to present it.

What This Dispute Means

In plain English, this dispute is usually a form of friendly fraud after usage: the cardholder disputes a charge despite having received and used the product or service. The bank's question is not just “did something happen?” but “based on the evidence, who is more credible—the cardholder or the merchant?” Because the customer demonstrably accessed or consumed the product, the dispute is often about intent, misunderstanding, or attempts to get both the product and their money back. Your job in the dispute response is to document continuous access and demonstrate that the purchase and subsequent usage are consistent with normal account behavior and your terms.

Evidence Checklist

  • Purchase records: original invoice/receipt, transaction ID, payment method masked card data, and any payment processor confirmation.
  • Subscription/billing ledger: timestamps for billing events, trial start/end, renewals, cancellations, proration records, and refund attempts.
  • Authentication logs: login timestamps (date/time and timezone), IP addresses, device identifiers, and geolocation where available.
  • Feature usage logs: event-level data showing use of key features (API calls, module usage, exported reports, saved projects)—include timestamps and user identifiers.
  • Download and activation history: download counts, license activations, email confirmations with date/time stamps, and install/activation logs for software.
  • Session data: session start/end times, session duration, user-agent strings, and session IDs.
  • Support and communications: all customer emails, chat transcripts, in-app messages, and support tickets with timestamps—especially any that show the user acknowledging use, asking for help, or requesting features.
  • Cancellation and refund attempts: proof of cancellation (who, when, and how), pro-rated refund computations and whether a refund or partial credit was offered or processed.
  • Terms of sale and product access policy: the version of your terms that applied at purchase time and a clear excerpt showing access and refund policy.
  • Screenshots and exports: CSV exports of logs, annotated screenshots of account activity, and any downloadable evidence formatted for review.

Step-by-Step to Win

  1. Freeze and gather raw data.
    1. Immediately export machine-readable logs (JSON/CSV) for the customer’s account around the purchase and the disputed period.
    2. Include authentication logs, subscription events, API call logs, download/activation records, and support interactions.
  2. Correlate events into a timeline.
    1. Map purchase → first access → repeated usage → any cancellations or support interactions. Show gaps and continuous use.
    2. Include timezone-normalized timestamps and indicate the source of each log line (e.g., “auth log”, “payment ledger”, “feature-event”).
  3. Highlight proof of ongoing access.
    1. Pull examples of repeat usage: login on date X, file exported on date Y, feature Z used on multiple dates.
    2. Where possible, show long sessions or repeated API calls to convey active engagement rather than one-off accidental clicks.
  4. Assemble customer communications.
    1. Attach support tickets that show the customer using the product, asking for help in using it, or acknowledging features/work output.
    2. Include autoresponders, welcome emails, and receipts—these contextualize the purchase and access.
  5. Document the cancellation and refund path.
    1. Show whether the customer cancelled, when they did it, and whether cancellation happened before or after the disputed charge.
    2. If you offered a refund or credit, include timestamps and the method used; if no refund was issued, explain why based on policy and provide the policy excerpt.
  6. Craft a concise narrative.
    1. Write a 1–2 page rebuttal that opens with a one-paragraph timeline, then lists key evidence items that correspond to the timeline.
    2. Use bullet points to match each bank assertion to the document proving it (e.g., “Customer logged in on 2025-03-12 at 14:03 UTC — see auth_log_20250312.csv”).
  7. Format evidence for reviewers.
    1. Provide human-readable exports (PDF/CSV) with highlighted timestamps and an attached machine-readable original file if permitted by your processor.
    2. Label each attachment clearly: “Receipt_invoice_12345.pdf”, “AuthLog_user123.csv”, “FeatureUsage_export.json”.
  8. Submit and track properly.
    1. Upload through your processor’s dispute portal, or use your processor-integration to submit; ensure attachments are within allowed file types and size limits.
    2. Log the submission, note the notification ID, and prepare for follow-up questions from the issuer.
  9. Prepare post-submission customer actions.
    1. If the customer used the product months and later disputed, consider contacting them (carefully) to attempt resolution—refund or partial credit—if that is part of your policy and business calculus.
    2. Keep records of any post-dispute communications; they may be relevant if the issuer requests additional info.

Common Mistakes

  • Submitting vague or unindexed logs that the reviewer can’t parse — raw dumps without explanation lose disputes.
  • Failing to normalize timezones and timestamps, creating confusion about whether use occurred before or after billing events.
  • Not including support chats or emails that demonstrate usage—leaving out these human-context pieces weakens the narrative.
  • Over-relying on screenshots without machine-readable logs; screenshots are helpful but can be dismissed if not corroborated by logs.
  • Submitting contradictory statements—e.g., different cancellation dates in different systems—without reconciling them for the reviewer.
  • Using legal or technical jargon without translating it to a simple chronology; reviewers are not product engineers and need a clear story.
  • Neglecting to show attempted refunds or customer offers—if you tried to resolve the customer's issue, show it.
  • Omitting the terms-of-sale that were active at purchase—reviewers need to know what rules both parties agreed to.

Example Narrative Outline

Below is a compact rebuttal structure you can adapt and include with your evidence attachments. Keep it focused, factual, and cross-referenced to attachments.

  1. Opening summary (2–3 sentences):

    State the claim, the transaction ID, and the short conclusion—e.g., “The customer purchased a 12-month subscription on [date], accessed the service repeatedly, and canceled on [date]. Evidence shows active usage between [start] and [end].”

  2. Timeline (bullet list):

    List each key event with date/time and brief description, referencing evidence file names.

  3. Key evidence mapped to claims:

    For each bank-questionable point (unauthorized, not received, services not as described), provide 1–3 evidence items with short explanation:

    • “Login activity demonstrates repeated access — see AuthLog_user123.csv (entries dated...)”
    • “Feature usage shows exported reports and saves — see FeatureUsage_export.json”
  4. Cancellation/refund status:

    Clarify whether the customer canceled, when, and what refunds (if any) were processed. Reference your policy excerpt.

  5. Concluding summary:

    Restate that available evidence shows the product was accessed and used; ask the reviewer to consider the timeline and attached logs.

  6. Attachment index:

    List all attachments with file names and short descriptions so the reviewer can locate the corresponding proof quickly.

Processor/Platform/Industry Specifics

This section provides practical guidance you can adapt to any processor. The specifics vary by processor, but the evidence types and organization strategies below are widely accepted and make it easier for issuing banks and processors to evaluate your response.

  • Prioritize machine-readable logs:

    Processors and issuing banks prefer structured exports (CSV/JSON) over screenshots because they can quickly parse timestamps and event IDs. Include both a human-readable summary (PDF) and the raw export when allowed.

  • Label everything by transaction ID and account ID:

    Ensure each file and each line in your exported logs contains the transaction ID and the merchant account ID so the reviewer can verify the linkage between the billing record and the usage record.

  • Normalize timestamps and include timezone info:

    Always present timestamps in a consistent timezone (UTC recommended) and include original timezone if relevant. For example: “2025-03-12T14:03:22Z (auth server UTC)”.

  • Map subscription lifecycle events:

    Export a line-by-line subscription ledger: trial_start, trial_end, invoice_generated, charge_attempt, payment_success, subscription_renewal, subscription_cancel. This ledger is one of the clearest ways to show a customer’s paid access and continued use.

  • Show feature-level evidence for digital products:

    For digital products and SaaS, download counts, activation tokens, exported reports, and API usage are stronger than “app opened” logs. Demonstrate that meaningful product functionality was accessed repeatedly.

  • Include device and IP continuity where relevant:

    If the same device fingerprint or IP ranges appear across multiple sessions, include that to demonstrate that use was not sporadic or fraudulent in origin.

  • Phrase policy excerpts plainly:

    Attach the terms-of-sale that were in effect at the time of purchase and highlight relevant clauses about access and refunds. Make it easy for the reviewer to find the policy you relied on.

  • Use your processor’s dispute codes and attachment labels:

    Even though deadlines and labels vary by processor, use the processor portal’s fields to indicate “evidence_type=usage_logs” or similar where provided—this helps route your evidence correctly.

How ProofReturn Helps

ProofReturn automates the tedious, error-prone tasks in this scenario so you can assemble a clearer, faster dispute response. Key benefits merchants see when automating with ProofReturn:

  • Automated extraction of usage logs, authentication events, and subscription ledgers into reviewer-friendly exports labeled by transaction and account ID.
  • Template-driven narrative generation that maps each claim to specific evidence files and highlights the exact timestamps the reviewer needs to see.
  • Attachment formatting and indexing so that machine-readable logs and human summaries are both included and clearly cross-referenced.
  • Centralized evidence storage and quick retrieval for repeat dispute types like subscription chargeback after use or friendly fraud after usage.

Using automation reduces the time between dispute notification and submission and helps avoid common mistakes like inconsistent timestamps or unlabeled attachments—critical in cases where a customer used the product for months then filed a chargeback.

FAQ Section

Q: What is the strongest single piece of evidence when a customer used the product for months then filed a chargeback?

A: Machine-readable usage logs with time-stamped events (login, feature usage, downloads) are typically the strongest single piece. These logs show not only that the account was active, but also the pattern and depth of use, which human reviewers can quickly interpret when presented clearly.

Q: Should I include screenshots or the raw logs?

A: Include both. Screenshots help reviewers quickly understand context, but structured exports (CSV/JSON) are the authoritative source. Always label each file and attach a one-page summary that points the reviewer to the relevant lines in the raw log.

Q: The customer canceled before the charge—does evidence of past usage still matter?

A: Yes. Usage after the billing date is particularly powerful because it shows access and benefit from the service that correlate with the disputed charge. Make sure to show the billing ledger alongside the usage timeline to demonstrate whether access was active at the time of the charge.

Q: The customer says they didn’t recognize the charge—how do I counter that when they used the product?

A: Provide clear receipts, the merchant descriptor used on the cardholder’s statement, sign-up confirmations, and usage logs. If you can show consistent behavior—logins, feature use, or downloads tied to the customer account—this undermines “no recognition” claims.

Q: Do support tickets where the customer asked for help count as evidence of use?

A: Yes. Support interactions are valuable because they show the customer engaged with the product and sought assistance. Include full transcripts with timestamps and note any references in the conversation to product outputs or account-specific items.

Q: How should I handle timezone differences in logs?

A: Normalize timestamps to UTC for the reviewer and include original local timestamps if they differ. Explicitly state the timezone normalization in your narrative so there’s no confusion about whether actions occurred before or after billing events.

Q: If the customer used multiple devices, how do I present that?

A: Export device fingerprints and IP ranges and include them in the timeline. Show continuity where possible (same account ID or device ID) and explain if multiple devices reflect normal user behavior (e.g., mobile and desktop usage).

Q: Should I offer a refund to the customer before fighting the chargeback?

A: That depends on your business policy and tolerance for the chargeback outcome. If a refund is appropriate and preserves the customer relationship, document the offer and its timestamp; documented attempts to resolve can be persuasive to a reviewer. Keep a copy of refund confirmations if you process one.

Related Resources

Final CTA

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