Seatext library / BotRefund evidence
Set Up Invalid Click Monitoring to Catch Refund Opportunities Early
Enable auto‑tagging, link Google Analytics, create a custom alert for an invalid‑click rate above 1%, and schedule weekly segmented reports. This lets you spot waste fast and start refund claims before budget drains.
✓ Built for advertisers who need clear, refund-ready traffic evidence.
To catch refund opportunities early, turn on auto‑tagging in Google Ads, connect the account to Google Analytics, set a custom alert when the invalid‑click rate exceeds 1%, and schedule a weekly export of click performance broken out by network and device.
Quick Comparison: Monitoring Approaches & Tools
| Criterion | Client‑side (BotRefund) | Server‑side only | ClickCease | CHEQ |
|---|---|---|---|---|
| Data captured | GCLID + behavioral signals (mouse tremor, speed, honeypot) | IP, headers, user‑agent only | IP reputation + basic behavior | IP reputation + device fingerprint |
| Refund‑ready evidence | Audit‑ready reports with GCLID logs | Limited – no click IDs | Partial – some logs | Partial – some logs |
| Setup effort | One‑line script in <head> | Log parsing, no code on page | Tag + dashboard config | Tag + dashboard config |
| Coverage of sophisticated invalid traffic (SIVT) | High – catches bots that mimic humans | Low – misses residential proxies | Medium | Medium |
| Pricing model | Free tier + pay‑per‑refund | Usually free (log analysis) | Monthly subscription | Monthly subscription |
| Best fit | Advertisers who need proof for Google/Meta disputes | Teams with engineering resources only | Small‑to‑mid accounts wanting auto‑block | Enterprise accounts needing broad fraud suite |
What Is Invalid Click Monitoring?
Invalid click monitoring tracks clicks that Google classifies as non‑human or accidental. By logging each click’s GCLID and behavioral signals, you can separate genuine traffic from waste and build evidence for a refund claim. The process starts when a user clicks an ad; auto‑tagging appends a unique GCLID to the landing‑page URL. A client‑side script such as BotRefund reads that GCLID, records mouse movements, scroll depth, session length, and interaction with hidden honeypot elements. These data points create a fingerprint that distinguishes a real visitor from a bot or click‑farm worker. The fingerprint is stored alongside the GCLID, timestamp, network (Search, Display, YouTube), and device type. When the invalid‑click rate crosses a threshold you set, an alert fires and you have a ready‑to‑submit report for Google’s invalid activity credit process. This approach goes beyond Google’s built‑in filters, which catch less than 50 % of sophisticated invalid traffic according to BotRefund audit data (source S1).
Why Early Detection Matters
If you wait for a quarterly audit, wasted spend can grow unchecked. Early alerts let you pause vulnerable placements, adjust filters, and file a refund while the evidence is fresh. Google allows refund requests for invalid activity within the last 90 days; weekly reports keep you inside that window. The sooner you identify a spike — for example, a sudden 3 % invalid‑click rate on Display placements — the faster you can exclude those placements and stop the bleed. Early detection also protects your conversion pixels. Bots that fire conversion events poison the pixel, causing the algorithm to optimize for more bot traffic. By catching the problem early you preserve data quality and maintain a healthy return on ad spend.
Prerequisites
- Google Ads account with auto‑tagging enabled.
- Google Analytics 4 property linked to the Ads account.
- BotRefund script installed on your landing pages (or a similar client‑side bot‑audit tool).
- Access to the Google Analytics “Custom Alerts” feature.
- Permission to create and schedule custom reports in Analytics (Editor role or higher).
Step‑by‑Step Setup Checklist
- Enable auto‑tagging. In Google Ads, go to Settings → Account settings → Auto‑tagging and turn it on. This adds a GCLID to every click, which is the primary key for later matching.
- Link Google Analytics. In Analytics, Admin → Property → Google Ads linking, select the Ads account and import all conversions. Verify that the “Google Ads” dimension appears in your reports.
- Install BotRefund. Add the provided script tag to the
<head>of every landing page. The script captures GCLIDs and behavioral evidence such as mouse‑tremor, session duration, honeypot clicks, and pointer speed. Confirm loading via browser dev tools (Network tab → botrefund.js). - Create a custom alert. In Analytics, go to Configure → Custom alerts → New alert. Set the condition:
Invalid click rate > 1%using the “Invalid Clicks” metric from the BotRefund integration. Choose “Day” as the evaluation period and enable email notifications. - Schedule a weekly report. Build a custom report that shows clicks, invalid clicks, cost, and GCLID breakdown by network (Search, Display, YouTube) and device (Desktop, Mobile, Tablet). Export it to Google Sheets and set a weekly email trigger (e.g., every Monday 08:00 UTC).
- Review and act. When the alert fires, examine the report, isolate the high‑risk placements, and begin the refund dispute using the audit‑ready report generated by BotRefund. Attach the GCLID list and behavioral logs to the Google Ads invalid activity credit form.
Common Mistake to Avoid
Relying only on Google’s built‑in filters. Google catches less than 50 % of sophisticated invalid traffic, so without client‑side evidence you’ll miss many refund‑eligible clicks. Many advertisers assume the “Invalid clicks” column in the Ads UI is exhaustive; it only reflects Google’s automated detection. Bots that use residential proxies, device farms, or human‑like mouse paths evade those filters. Without a script that records behavioral anomalies, you have no proof to submit a manual claim.
Verify Your Monitoring Is Working
After the first week, check that the custom alert has triggered at least once and that the weekly report includes a non‑zero “Invalid Clicks” column. If no data appears, confirm the BotRefund script is loading (use browser dev tools) and that auto‑tagging is active. Also verify that the “Invalid Clicks” metric is populated in the Analytics custom report; if it shows zero, the integration may need re‑authorization. Run a test click from a known VPN or a headless browser to see if the script flags it.
Key Facts
| Metric | Value |
|---|---|
| Average invalid click rate across Google Ads | 11 %–14 % |
| Google’s automated filters catch | Less than 50 % of invalid traffic |
| BotRefund audit‑ready refund success rate | 83 % |
Limitations
The monitoring relies on client‑side data collection. If a user blocks JavaScript or uses a privacy‑focused browser, BotRefund cannot capture the GCLID or behavioral signals, and those clicks may remain invisible to your alerts. Additionally, the script adds a few kilobytes to page weight; test page‑load impact on mobile. The 90‑day refund window means you must act on alerts promptly; delayed reviews can forfeit eligible credits.
Trade‑offs and Alternatives
Choosing a monitoring approach depends on team resources, refund goals, and traffic volume. Client‑side tools like BotRefund give you GCLID‑level evidence, which is required for manual Google and Meta refund claims. Server‑side log analysis is cheaper to run but cannot see mouse‑level behavior, so it misses sophisticated bots that mimic human IPs. ClickCease and CHEQ focus on automatic blocking and IP reputation; they reduce waste but do not produce the detailed audit reports Google asks for in a dispute. If your primary goal is recovering money, a client‑side evidence collector is the only path that consistently yields the 83 % success rate reported by BotRefund (source S3). For teams that only need to lower invalid traffic without filing claims, a server‑side filter or a blocking‑focused SaaS may suffice.
FAQ
- Do I need a developer to install the script? No. BotRefund provides a one‑line snippet that you paste into the page header.
- How often can I file a refund? Google allows refunds for invalid activity within the last 90 days; weekly reports keep you within that window.
- What if the invalid‑click rate never exceeds 1 %? Adjust the threshold lower (e.g., 0.5 %) if your campaigns are high‑value and you want earlier warnings.
- Can I monitor other platforms? BotRefund also supports Meta (Facebook/Instagram) click‑fraud detection with similar FBCLID capture.
- What evidence does Google require for a manual claim? A list of GCLIDs, timestamps, network, device, and behavioral logs showing non‑human patterns (e.g., zero mouse tremor, super‑human click speed).
- How do I handle false positives? Review flagged GCLIDs in the weekly report; if a placement shows high invalid clicks but also genuine conversions, whitelist that placement and lower the alert threshold for it.
- Can I scale this across multiple Google Ads accounts? Yes. Use a single Analytics property with multiple linked Ads accounts, or create separate custom alerts per account and aggregate reports in a master Google Sheet.
- What happens if a user blocks JavaScript? Those clicks will not be captured by BotRefund; they appear as normal clicks in Ads but lack behavioral data, so they cannot be used for refund evidence.
- Is there a cost to use BotRefund’s refund‑ready reports? BotRefund offers a free tier for detection; refund‑success fees apply only when a credit is recovered.
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.