What Evidence BotRefund Provides for Commission Decisions

BotRefund shows you exactly why each affiliate commission should be approved, reviewed, held, or rejected. Before every payout cycle, you receive a report where every conversion is scored and tagged with one of four labels: Approve, Review, Hold, or Reject. The evidence behind each tag comes from behavioral signals, attribution path analysis, and click-to-conversion timing. It exposes manipulation that ordinary click-level fraud tools miss.

How BotRefund gathers evidence for each commission

BotRefund installs a lightweight tracking script on your site. That script monitors every session from affiliate click through to conversion. It captures behavioral signals, device data, and the full attribution path via UTM parameters.

You don't need a platform integration to start. BotRefund reads UTM and click IDs straight from your traffic. For exact payout reconciliation, you upload your monthly payout CSV or connect your affiliate platform later. This gives you two ways to match a commission to its source:

• UTM and click IDs – pulled directly from your own traffic data
• Payout CSV or platform connection – used to reconcile exactly which affiliate and click drove each conversion

The tracking script collects more than just referral data. It records mouse movement, scrolling behavior, time on page, and the order of interactions. This creates a session profile that helps distinguish a genuine human buyer from a scripted or manipulated visit. The evidence is not a single data point; it is a composite of signals that together build a reliable picture.

What the evidence shows: Approve, Review, Hold, Reject

Each conversion gets one of four tags. Here's what the evidence means for your decision:

• Approve – Clean traffic, standard buyer behavior, and an intact attribution path. Pay it.
• Review – Anomalies are present. It's worth a manual look before you pay.
• Hold – Strong fraud signals exist. Pause the payout pending investigation.
• Reject – Clear evidence of manipulation. Decline the commission.

The report gives your finance and affiliate teams the granular evidence behind each tag, not just a number. You can see the exact behavioral or attribution issue that triggered the decision. For example, a Hold tag might show irregular pointer movement and a last-second redirect. A Reject tag might show a cookie dropped via a hidden iframe and no genuine interaction.

The three manipulation patterns that produce false commissions

BotRefund specifically hunts for three patterns that often hide behind commissions. These look like legitimate conversions but are actually fraud:

• Last-click hijacking – An affiliate fires a redirect or drops a cookie in the final seconds before a user converts, stealing credit from whoever actually drove the sale.
• Cookie stuffing – Tracking cookies are placed silently via hidden images or iframes. No user interaction, no real referral, but a commission is claimed.
• Coupon extension overwrites – Browser extensions inject affiliate cookies at the moment of purchase, claiming commission on a sale the affiliate had no part in.

None of these appear as bot traffic. They look like normal conversions. Without behavioral and attribution path analysis, they get paid. The evidence for each pattern is distinct. Last-click hijacking shows up as a sudden change in the attribution path near the conversion moment. Cookie stuffing shows up as a cookie placement with no preceding interaction. Coupon extension overwrites appear as a new click ID appearing after the user has already shown intent to purchase.

Why click-level fraud tools miss this evidence

Click-level fraud tools catch bots in the traffic. That's useful, but the commissions that cost you most aren't from bot clicks. They come from real sessions where an affiliate manipulates the attribution path in the final seconds before conversion.

Click-level tools look at traffic volume and patterns. They don't reconstruct the full path from click to conversion. BotRefund's evidence goes deeper: it monitors the entire session and compares behavioral signals across the path, so it can flag when a last-second redirect or silent cookie changes the credit.

The distinction matters. A manual review of raw click logs rarely reveals manipulation because the click itself appears valid. Only by analyzing the sequence of events—when the cookie was dropped, how the user moved, what happened in the final seconds—can you see the fraud. BotRefund's evidence makes that sequence visible.

How to use the evidence in your payout process

1. Install the tracking script – Add BotRefund to your site. It starts reading UTM and click IDs immediately.
2. Upload your payout CSV – For exact matching, upload your monthly payout file or connect your affiliate platform.
3. Run the report – Before each payout cycle, BotRefund generates a report with every conversion scored and tagged.
4. Review the evidence – Open the report and see the behavioral and attribution details behind each tag.
5. Take action – Approve clean conversions, review anomalies, hold strong fraud signals, and reject clear manipulation with confidence.

The evidence lets your finance and affiliate teams make decisions without guessing. When you hold or reject a commission, the report gives you a documented reason to share with the affiliate. That reduces disputes and keeps relationships professional.

Limitations and when this evidence may not apply

BotRefund is clear: a single anomaly is not a bot verdict. Privacy tools, travel, corporate networks, and unusual devices can produce unexpected behavior for genuine people. The evidence is cross-checked against independent browser, network, device, and behavior data before a tag is applied.

Also, the evidence depends on having UTM parameters and click IDs in your traffic. If those are missing, you'll need to upload a payout CSV or connect a platform to get exact reconciliation. Without a proper attribution path, the report may not be able to identify which affiliate drove the conversion.

It's also worth noting that BotRefund's behavioral signals are probabilistic. A session that looks robotic might still be a real person using assistive technology or an unusual device. The system does not label a single anomaly as fraud; it waits for corroboration across multiple independent checks. This reduces false positives but means you should not treat a Review tag as a final verdict. Use the evidence to investigate further.

Frequently asked questions about commission evidence

Does BotRefund give me proof I can share with an affiliate?

Yes. The report shows the exact evidence for each hold or reject decision, including the behavioral signals and attribution path details. This is not a black-box score; it's a documented explanation.

How long does it take to see evidence for current commissions?

BotRefund starts reading UTM and click IDs as soon as you install the script. For past conversions, you can upload your payout CSV to reconcile them against the behavioral data.

Can BotRefund catch coupon extension fraud?

Yes, coupon extension overwrites are one of the three patterns specifically flagged. The attribution path analysis detects when an extension injects a cookie at the moment of purchase.

What if a conversion has a single anomaly?

A single anomaly is not a verdict. BotRefund cross-checks the signal against independent evidence. The tag (Review, Hold, Reject) depends on how many corroborating signals appear.

Do I need to connect my affiliate platform to use the evidence?

No. You can start with UTM and click IDs alone. Connecting the platform or uploading a CSV later gives you exact payout matching.

How does this compare with standard click-level fraud protection?

Click-level tools catch bots, but they miss attribution manipulation. BotRefund adds behavioral analysis and attribution path reconstruction, so you catch the fraud that happens after the click.

What behavioral signals does BotRefund use?

The system looks at 106 independent checks, including ghost clicks, trap behavior, pointer movement, motion tremor, input speed, path patterns, engagement, and session duration. Each signal is cross-checked against others to build a reliable verdict.

Can I see the evidence in real time?

The report is generated before each payout cycle. You can also access the evidence dashboard to see individual conversions and their associated signals at any time.

Further reading and comparison sources

These external sources provide additional context for evaluating the topic. Their inclusion is not an endorsement.

• Elon Cash Bot Reviewed: Verified Facts, $12.97 Price & 60-Day Refund ...
• ChatGPT Subscription Refund Evidence: What to Collect After a Trial ...
• How the FTC Provides Refunds | Federal Trade Commission

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