Seatext library / BotRefund evidence
How to Analyze Google Ads Click Data for Bot Activity
Use Google Analytics and Google Ads reports to export click data, then cross-reference IP addresses, device patterns, session behavior, and engagement metrics. Look for anomalies such as high click-through rates with low conversions, traffic...
✓ Built for advertisers who need clear, refund-ready traffic evidence.
Start with the built-in reports
Google Ads provides an Invalid clicks report inside the campaign dashboard. Go to Reports > Predefined reports > Invalid clicks. This report shows clicks Google already flagged as invalid. But note: Google's automated filters catch less than 50% of invalid traffic, according to BotRefund audit data and third-party studies. Use this report as a starting point, not a final answer.
Open Google Analytics and navigate to Audience > Technology > Network to see the service provider names. Look for cloud-hosting providers (e.g., AWS, Google Cloud, DigitalOcean) that are not typical for your target audience. That is a strong bot signal.
Step 1: Export detailed click data
From Google Ads, download a click-level report. Go to Reports > Predefined reports &em; Basic > Clicks and add columns: Time of day, Day, Device, Network, and User-typed keyword. Export as CSV.
From Google Analytics, export a User Explorer report for the same time period. Include metrics: Sessions, Bounce rate, Pages per session, Avg session duration, and Goal completions. This gives you the raw data to compare.
Step 2: Check for click-to-conversion mismatch
Calculate the click-through rate (CTR) and conversion rate (CVR) for each campaign. If CTR is high but CVR is very low (e.g., CTR > 5% and CVR < 0.5%), that is a red flag. Bots click but rarely convert.
Compare the same metric across devices, networks, and hours. For example, mobile traffic from the Display Network often has higher bot rates. A sudden spike in clicks on a Tuesday at 3 AM with zero conversions is suspicious.
Step 3: Analyze IP addresses and locations
Use a tool like IP2Location or a free IP lookup to categorize IPs. Look for:
- Data-center IPs – IPs belonging to AWS, Google Cloud, Microsoft Azure, etc. Real users rarely come from these ranges.
- Repeated IPs – the same IP clicking multiple times in a short period.
- Mismatched geography – clicks from a country where you do not target, or a city far from your audience.
Step 4: Examine device and browser fingerprints
In Google Analytics, go to Audience > Technology > Browser & OS. Look for old browser versions, very few browser types, or a high percentage of a single device (e.g., 90% Chrome on Windows 10). Bots often use a limited set of user agents.
Check the User Agent string in your server logs. Bots may use outdated or inconsistent user agents. Also check for screen resolution: uniform resolutions (e.g., 1920x1080 for all sessions) are unnatural.
Step 5: Review session behavior
Use Google Analytics behavior reports to see average session duration, pages per session, and bounce rate. Bot sessions often have:
- Very short sessions – under 5 seconds.
- No scrolling or mouse movement – measure with event tracking if possible.
- Uniform click paths – every session visits the same pages in the same order.
- Zero form interactions – no field corrections, no typing pauses.
Step 6: Use client-side behavioral tracking
Server-side logs miss many sophisticated bots. Install a client-side script that records mouse movements, scroll depth, and keystroke timing. This is the most reliable way to separate human from non-human traffic. Look for:
- Grid-aligned mouse paths – bots move in straight lines, not natural curves.
- Superhuman input speed – clicks or form submissions faster than 1 millisecond.
- Ghost clicks – clicks without any preceding mouse movement or hover.
Verification step: Confirm with refund eligibility
Once you have collected evidence, ask yourself: Can I prove this is invalid traffic to Google? Google requires forensic evidence for sophisticated invalid traffic (SIVT). Your data must show behavioral anomalies, not just low conversion rates. If you have client-side logs showing no human interaction, you have a strong case. Otherwise, you may need to refine your analysis.
What is bot traffic in Google Ads?
Bot traffic in Google Ads refers to clicks generated by automated scripts, web scrapers, click farms, or competitor sabotage software. These clicks are not from real humans. They waste your budget, skew your bidding data, and pollute your conversion tracking. Google categorizes invalid traffic into two types: General Invalid Traffic (GIT) – easy to filter – and Sophisticated Invalid Traffic (SIVT) – requires manual evidence. Most bots in competitive verticals fall into SIVT.
Key facts about Google Ads bot traffic
| Fact | Source |
|---|---|
| 11% to 14% average invalid click rate across all Google Ads campaigns | BotRefund audit data and third-party studies |
| Google's automated filters catch less than 50% of invalid traffic | BotRefund audit data |
| Ad fraud will cost advertisers over $100 billion globally in 2026 | Juniper Research, cited by BotRefund |
| Bot clicks steal up to 20% of your Google and Meta ad budget | BotRefund homepage |
| 83% refund success rate for high-volume advertisers using BotRefund | BotRefund homepage |
Limitations of manual analysis
Manual analysis of Google Ads click data has several limits:
- Time-consuming – you need to download and parse large CSV files, cross-reference multiple platforms.
- Misses sophisticated bots – bots using residential proxies or mimicking human behavior may not appear in IP or device checks.
- No real-time blocking – manual analysis is after-the-fact; you still pay for the clicks.
- Insufficient evidence for refunds – Google often requires client-side behavioral logs, not just analytics data.
Common terms used in bot traffic analysis
- Invalid traffic (IVT)
- Clicks that Google considers not genuine. Includes both accidental clicks and bot activity.
- Sophisticated Invalid Traffic (SIVT)
- Advanced bot traffic that mimics human behavior and evades standard filters. Requires forensic evidence to dispute.
- Click-through rate (CTR)
- Percentage of people who click your ad after seeing it. Abnormally high CTR can indicate bots.
- Conversion rate (CVR)
- Percentage of clicks that result in a desired action. Low CVR relative to CTR is a bot warning.
- Pixel poisoning
- When bots trigger conversion events, corrupting your ad platform's optimization algorithm.
Frequently asked questions
How can I check if my Google Ads clicks are bots without expensive tools?
Start with Google Analytics: compare CTR vs CVR, look at average session duration and bounce rate, and check IP locations. If you see a high percentage of clicks from data-center providers or very short sessions, you likely have bots. For a free deeper check, use the Google Ads invalid clicks report.
What is a normal click-through rate for Google Ads?
Average CTR varies by industry. For search ads, 2-5% is typical. For display ads, 0.1-0.5% is normal. If your CTR is significantly higher than industry average and your conversion rate is low, suspect bot traffic.
Can Google Ads refund me for bot clicks?
Yes, but only if you provide evidence. Google's automated filters may refund easy-to-detect invalid traffic. For sophisticated invalid traffic, you need to submit a manual refund request with supporting data – typically behavioral logs, not just analytics numbers.
How often should I analyze my Google Ads click data for bots?
Check weekly for high-spend campaigns. Monthly for smaller accounts. If you see a sudden spike in clicks without conversion improvement, investigate immediately.
What is the difference between invalid traffic and click fraud?
Invalid traffic is any click that Google deems not genuine, including accidental clicks. Click fraud is intentionally malicious invalid traffic, often from competitors or scam publishers. Both waste your budget, but click fraud is harder to detect and refund.
Will blocking bots in Google Analytics stop them from clicking my ads?
No. Google Analytics filtering only affects your reports. Bots continue to click your ads. You need a solution that blocks traffic at the pixel level or provides evidence for refunds.
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