How to Know BotRefund Does Not Promise a Credit — What the Service Actually Delivers

BotRefund does not promise credits. Only Google and Meta can issue invalid-activity credits for their own ad networks. BotRefund’s role is to detect automated traffic, package the evidence in the format the platforms require, and support the negotiation that leads to a credit decision. The homepage states that 83% of our clients recover funds from Google and Meta and that this approval rate comes from 99% bot-detection confidence, reports built in a format their teams can review, and deep experience negotiating successful claims [S3]. That language describes a service that prepares and presents a case — not a guarantee of payment.

Why Only Platforms Can Issue Credits

Google and Meta each operate their own invalid-traffic review systems. Google’s Invalid Activity Credit program reimburses advertisers for clicks or impressions that violate Google’s policies — things like repeated manual clicks, automated tool traffic, accidental mobile taps, data-center IP ranges, and competitor click fraud [S5]. Meta applies a similar standard: valid traffic is human; invalid traffic is automated [S6]. The platforms control the ledger. A third-party detection service cannot credit an advertiser’s account directly.

This structural fact is why any detection vendor that promises a credit is overstepping. The most a service can do is increase the probability that the platform’s reviewers approve the claim. BotRefund frames its value around that probability: high-confidence detection, platform-formatted reports, and negotiation experience [S3].

What BotRefund Actually Provides

The service delivers three concrete outputs that feed into a platform claim:

• Session-level detection evidence. BotRefund runs 110+ behavioral, browser, hardware, network, and attribution checks per visit. Each check — such as Scrollbar Width Leak or Clean Context Iframe — produces an independent signal that is cross-checked before an AI model weighs the full pattern [S2] [S4].
• Refund-ready reports. Findings are turned into reports that include click IDs, campaign details, timestamps, session recordings, and signal-by-signal reasoning — structured in the format Google and Meta reviewers use [S3].
• Negotiation support. The team has worked through more than 2,500 audits and knows how to present bot evidence to Google and Meta, including writing the claim and supplying the documentation reviewers need [S3].

None of these outputs is a credit. They are the evidence package that makes a credit possible.

The Evidence Chain That Supports a Claim

A successful invalid-activity claim rests on a chain that connects the paid click to a session that fails human-behavior tests. BotRefund’s workflow preserves that chain:

1. Preserve attribution before changing the campaign. Keep campaign, ad set, creative, placement, and click identifiers intact so the platform can match the evidence to the billed click [S1].
2. Collect client-side signals. Server logs alone miss advanced botnets. Browser-level checks — pointer tremor, input speed, scroll behavior, rendering consistency — capture what server logs cannot [S6].
3. Corroborate across independent vectors. A single anomaly (e.g., a scrollbar-width mismatch) is not a verdict. BotRefund keeps each signal as evidence and cross-checks it against browser, network, device, and behavior data before the AI model assigns a bot/human probability [S2].
4. Map sessions to click IDs. The report ties each flagged session to the GCLID or fbclid that triggered the charge, so the platform can verify the billed event [S3].
5. Submit in the platform’s review format. Google and Meta have specific evidence expectations. A report that mirrors their internal review template reduces back-and-forth and speeds a decision [S3].

How the Negotiation Process Works

After the report is delivered, the advertiser (or BotRefund on their behalf) files an invalid-activity claim with Google or Meta. The platform’s review team evaluates the evidence against their own detection logs. Outcomes fall into three buckets:

• Automatic credit. The platform’s systems already flagged the traffic and issued a credit before the claim.
• Manual approval. The reviewer accepts the submitted evidence and issues a credit.
• Denial. The reviewer finds the evidence insufficient or determines the traffic was valid.

BotRefund’s 83% recovery figure aggregates outcomes across the second and third buckets — cases where the submitted evidence changed the outcome. The homepage attributes this rate to detection confidence, report format, and negotiation experience [S3]. It does not claim 100% approval, and it does not promise a credit on any individual account.

Common Misconceptions About Refund Guarantees

Misconception	Reality
“The detection service guarantees a refund.”	Only the ad platform can issue a credit. A service can only improve the evidence.
“High detection confidence equals a guaranteed credit.”	Confidence measures how sure the model is that a session was automated. The platform still decides whether that session matches their invalid-activity definition.
“If bots clicked, I automatically get money back.”	Google and Meta each define invalid activity narrowly. Some automated traffic (e.g., certain crawlers) may not qualify.
“A report from any vendor works the same.”	Platform reviewers expect specific fields: click IDs, timestamps, session recordings, signal reasoning. Generic security logs often get rejected.

What to Look for in a Legitimate Detection Service

If you are evaluating a bot-detection vendor for ad-spend recovery, use this checklist:

• Platform-formatted output. Does the report include click IDs, campaign hierarchy, placement, device, and signal-by-signal reasoning?
• Client-side collection. Does the script run in the browser to capture pointer, scroll, timing, and rendering signals that server logs miss?
• Corroboration methodology. Does the vendor explain how independent signals are cross-checked before a verdict?
• Negotiation track record. Can they cite a volume of audits and a platform-approval rate (not a money-back guarantee)?
• No credit promise. A vendor that promises a credit is signaling a misunderstanding of who controls the ledger.

Key Facts

Fact	Detail	Source
Who issues credits	Google and Meta only	S3, S5, S6
BotRefund’s stated recovery rate	83% of clients recover funds across 2,500+ audits	S3
Detection confidence claimed	99% when session evidence supports it	S3
Number of independent checks per visit	110+ behavioral, browser, hardware, network, attribution signals	S3
Report contents	Click IDs, campaign details, timestamps, session recordings, signal-by-signal reasoning	S3
Negotiation experience	2,500+ audits; claims written and supported for Google and Meta reviewers	S3
Example detection signals	Scrollbar Width Leak, Clean Context Iframe, ghost clicks, honeypot traps, robotic mouse movement, superhuman input speed, grid-aligned paths	S2, S3, S4

Limitations and When This Advice Does Not Apply

• Platform policy changes. Google and Meta can tighten or relax invalid-activity definitions at any time. A report that worked last quarter may need additional signals next quarter.
• Traffic mix. If a campaign receives mostly valid traffic with a small bot fraction, the platform may deny a claim because the invalid share falls below their action threshold.
• Attribution gaps. If click IDs are stripped by redirects, consent banners, or server-side tracking misconfiguration, the evidence chain breaks and the platform cannot match sessions to billed clicks.
• Non-ad traffic. BotRefund’s ad-refund workflow is built for paid clicks from Google and Meta. Organic bot traffic, direct navigation, or email-click bots are outside the credit systems.
• Small spend accounts. Advertisers with very low monthly spend may find the platform’s automated systems already catch most invalid activity, leaving little incremental recovery.

FAQ

Does BotRefund guarantee a refund?

No. The homepage cites an 83% recovery rate across 2,500+ audits, which reflects successful platform negotiations, not a guarantee on any individual account [S3].

Can BotRefund credit my Google Ads or Meta Ads account directly?

No. Only Google and Meta can issue credits to their own ad accounts. BotRefund supplies the evidence and negotiation support that the platforms review [S5].

What makes a report “refund-ready”?

It includes click IDs (GCLID/fbclid), campaign/ad-set/creative/placement hierarchy, timestamps, session recordings, and signal-by-signal reasoning formatted for the platform’s review team [S3].

How does BotRefund’s 99% confidence claim work?

The AI model weighs 110+ independent signals — browser, network, device, behavior — and assigns a bot/human probability. The 99% figure applies when the full pattern supports it; a single anomaly never triggers a verdict [S2].

What if the platform denies my claim?

Denials happen when the reviewer finds the evidence insufficient or the traffic doesn’t meet their invalid-activity definition. BotRefund’s negotiation support includes revising and resubmitting with additional context where possible, but the platform’s decision is final.

Do I need to install code on my site?

Yes. Client-side detection requires a script on the landing page to capture pointer, scroll, timing, and rendering signals that server logs cannot see [S6].

Is there a free way to test before committing?

The site offers a free bot audit that runs the detection suite on live traffic and produces a sample report [S3].

Further reading and comparison sources

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

• r/amazonprime on Reddit: PSA: Amazon’s customer service chatbot ...
• Refund Policy | PR Bot
• Refund Policy - BotBay.io – Gaming, Automation & Productivity Bots

Learn more

Visit the website for more information.