Seatext library / BotRefund evidence
How Often Does Google Approve Invalid Click Refund Requests?
Google does not publish official approval rates for invalid click refund requests. Industry data shows automated filters catch less than 50% of invalid traffic, so most refunds require a manual claim. Well-documented manual requests...
✓ Built for advertisers who need clear, refund-ready traffic evidence.
Google does not publish official approval rates for invalid click refund requests. However, the company's own automated systems catch less than 50% of invalid traffic, according to aggregated audit data. That means the majority of refunds require a manual request. The approval rate for well-documented manual claims is high — many advertisers receive partial or full credits when they submit strong evidence.
What Google's Automated Filters Catch and Miss
Google's automated filters are designed to detect obvious invalid activity. They look for rapid clicks from a single IP address, known data center ranges, and duplicate click signatures. These filters work well for simple bot traffic. But for sophisticated invalid traffic (SIVT) — such as residential proxy botnets, click farms, and automated browser scripts — the filters miss a significant portion. According to aggregated BotRefund audit data, Google's automated filters catch less than 50% of all invalid clicks. The rest must be identified and proven manually.
The average invalid click rate across all Google Ads campaigns ranges from 11% to 14%. In high-CPC verticals like legal, insurance, and B2B SaaS, the rate can be higher. Automated systems apply credits for the traffic they catch automatically. You see these credits in your Google Ads account under "Invalid clicks." No action is needed on your part for those.
How the Manual Refund Process Works
When you suspect invalid clicks that Google did not automatically credit, you can file a manual refund request through your Google Ads account. The request goes to Google's traffic quality team. They review the evidence you provide and decide whether to issue a credit. The process is not instant. Reviews typically take a few business days. Complex cases can take longer. You can check the status in your account under the "Invalid clicks" section.
Google accepts requests for suspicious activity within 60 days. Some advertisers have success with older data if they provide strong evidence, but it is not guaranteed. There is no cost to file a manual request. You only invest time in gathering evidence. Tools that automate evidence collection have their own pricing.
What Evidence Google Actually Accepts
Not all evidence is equal. A simple list of suspicious IP addresses is rarely enough. Google looks for client-side behavioral signals. These include unnatural mouse movements, no scrolling, superhuman input speed, or grid-aligned pointer paths. These signals are captured by tools that run in the visitor's browser. When you submit a report that includes Google Click IDs (GCLIDs) paired with behavioral proof, your chances of approval increase significantly.
Behavioral evidence is the most reliable way to prove invalid traffic. Unlike IP addresses or user agents, which can be spoofed, behavioral patterns are hard for bots to mimic. Detection tools look for ghost clicks, trap behavior, robotic mouse movements, and absence of human tremor. These signals create a strong case that Google's review team can understand. Without behavioral evidence, many manual requests are denied or result in only partial credit.
Approval Rates by Evidence Type
Industry surveys suggest 60-70% of well-documented manual requests receive at least a partial credit. Automated credits cover the majority of obvious bot traffic. For high-volume advertisers using behavioral evidence tools like BotRefund, the reported refund success rate is 83%. This figure comes from aggregated client data across refund claims submitted to ad platforms. The rate drops significantly when evidence is limited to server-side logs or IP lists alone.
The key difference is completeness. Automated filters catch simple patterns. Manual review catches complex patterns — but only if you show the behavior. Google's team evaluates each GCLID against their own detection models. If your behavioral data aligns with their internal signals, approval is likely. If gaps exist, they may credit only the clicks you proved.
Common Reasons for Denial or Partial Credit
Google may issue a partial credit if your evidence covers only a portion of the invalid activity. For example, if you prove bot clicks on one campaign but not another, you might receive credit only for that campaign. Partial credits are common when the evidence is not comprehensive. To maximize the refund, you need to capture all invalid sessions and present a complete picture.
Requests are denied when evidence does not meet Google's criteria. This happens when behavioral signals are missing, when GCLIDs are not linked to specific sessions, or when the activity is borderline. Google may also reject if the traffic pattern could be explained by legitimate user behavior. If your request is denied, review the feedback and improve your evidence collection. You can appeal by providing additional data.
Practical Steps to Maximize Your Refund
First, enable auto-tagging in Google Ads so every click gets a GCLID. Second, install a client-side detection script that captures behavioral data for every session. Third, run regular audits to identify campaigns with high invalid click rates. Fourth, compile reports that pair each suspicious GCLID with its behavioral proof. Fifth, submit manual requests promptly — within the 60-day window. Sixth, track outcomes and refine your evidence package based on Google's feedback.
Tools that automate this workflow reduce the time investment. They capture GCLIDs in real time, link them to behavioral signals, and generate audit-ready reports. This is especially valuable for accounts spending over $10,000 per month, where manual evidence gathering becomes impractical.
Expert Perspective: What Refund Specialists See
Specialists who handle refund claims daily report that Google's review team is consistent but strict. They want to see the same signals their own models use: mouse tremor, scroll depth, click timing, and navigation flow. When a report shows a session with zero scroll, linear mouse path, and click latency under 1 millisecond, approval is nearly automatic. When a report shows only an IP address from a VPN, denial is common.
The 83% success rate for high-volume advertisers reflects a selection bias — these advertisers use tools that capture the exact signals Google expects. Smaller advertisers who submit ad-hoc IP lists see lower rates. The gap is not about budget size; it is about evidence quality. Any advertiser can improve their rate by adopting behavioral capture.
Limitations and What to Do When Your Request Is Denied
Even with strong evidence, some requests are denied. Google may reject if the evidence does not meet their criteria, or if the activity is borderline. If your request is denied, review the feedback and improve your evidence collection. Consider using a dedicated detection tool that captures the specific behavioral signals Google looks for. You can also appeal the decision by providing additional data. Persistence and proper evidence often lead to a successful resolution.
There are limits to what can be recovered. Google does not refund clicks older than 60 days in most cases. They do not refund for poor targeting or low conversion rates — only for invalid activity as they define it. They also do not disclose their exact detection thresholds. This opacity means you cannot guarantee approval, but you can maximize probability.
Key Facts about Google's Invalid Activity Credit System
| Fact | Detail |
|---|---|
| Automated filter catch rate | Less than 50% of invalid traffic (source: BotRefund audit data) |
| Average invalid click rate | 11% to 14% across all Google Ads campaigns |
| Refund success rate with behavioral evidence | 83% for high-volume advertisers using BotRefund |
| Manual request required | For sophisticated invalid traffic (SIVT) that automated filters miss |
| Key evidence type | Client-side behavioral data (mouse movements, scrolling, speed) |
| Request window | Typically 60 days from click date |
| Cost to file | Free |
FAQ
How long does a manual refund request take?
Google typically reviews manual requests within a few business days. Complex cases can take longer. You can check the status in your Google Ads account under "Invalid clicks."
Can I get a refund for clicks older than 60 days?
Google usually accepts refund requests for suspicious activity within 60 days. Some advertisers have success with older data if they can provide strong evidence, but it is not guaranteed.
Does Google refund the full amount or only part of it?
Both outcomes are possible. If your evidence covers all invalid clicks, you may receive a full refund. Partial refunds are common when evidence is incomplete or Google's analysis differs from yours.
What if I don't have behavioral evidence?
Without behavioral evidence, your chances of approval are lower. Google's automated filters catch some invalid clicks automatically, but for manual requests, client-side behavioral data is the most persuasive evidence.
Is there a cost to file a manual refund request?
No, filing a manual refund request is free. You only invest time in gathering evidence. Tools like BotRefund automate the evidence collection and reporting, but they have their own pricing.
How do I know if my traffic has invalid clicks?
Look for high bounce rates, low time on site, and conversion rates far below your average. A sudden spike in clicks from a single region or device type can also signal bot traffic. Run a bot audit to confirm.
Can I prevent invalid clicks instead of just requesting refunds?
Yes. Real-time detection tools can block suspicious IPs and prevent bots from loading your landing page. They also protect your conversion pixels from being triggered by bots, which keeps your bidding algorithms clean.
Further reading and comparison sources
These external sources provide additional context for evaluating the topic. Their inclusion is not an endorsement.
Further reading and comparison sources
These external sources provide additional context for evaluating the topic. Their inclusion is not an endorsement.
Learn more
Visit the website for more information.