What to Do After a Bot Audit: A Readiness Checklist for Ad Refund Recovery

After a Bot Audit: Your Step-by-Step Action Plan

1. Review and triage flagged sessions. Export the raw session list, filter for high-confidence flags, and flag edge cases for manual review.
2. Prioritize campaigns with the highest confirmed waste. Sum the spend on high-confidence bot sessions by campaign, ad group, and placement.
3. File refund claims with Google and Meta using platform-ready evidence. Use refund-ready reports with click IDs, timestamps, campaign details, and signal-by-signal reasoning.
4. Harden your detection layer. Deploy client-side signals to block future bot traffic in real time.
5. Schedule a follow-up audit in 30–60 days. Verify that bot rates dropped and claims were approved.

A bot audit is a diagnostic snapshot. It tells you which sessions look automated, which signals triggered, and how much of your ad spend likely went to non-human clicks. It does not automatically refund your money, block future bots, or fix poisoned conversion pixels. The value comes from what you do next.

BotRefund audits 110+ behavioral, browser, hardware, network, and attribution signals per session and scores each visit with up to 99% confidence. Each finding includes a session-by-session explanation instead of a generic invalid-traffic estimate. That granularity is what lets you build a refund claim that Google and Meta reviewers can actually approve.

Immediate Triage: Separate Signal from Noise

1. Export the raw session list. Pull every flagged session with its click ID (GCLID, FBCLID), campaign, timestamp, and the specific signals that fired.
2. Filter for high-confidence flags. Focus on sessions where multiple independent signals agree — e.g., superhuman input speed (<1 ms) combined with grid-aligned mouse paths and missing scroll tremor.
3. Flag edge cases for manual review. Privacy tools, corporate proxies, and unusual devices can trigger single signals. BotRefund keeps each signal as evidence, not a verdict, and cross-checks it against browser, network, device, and behavior data. Treat lone anomalies as "needs human eyes" rather than "bot confirmed."
4. Quantify the waste per campaign. Sum the spend on high-confidence bot sessions by campaign, ad group, and placement. This tells you where a refund claim will have the biggest financial impact.

Build a Refund Claim That Platform Reviewers Accept

Google and Meta do not accept raw logs or security-style reports. They expect a structured submission that maps each disputed click to a click ID, a timestamp, a campaign, and a clear reason code. BotRefund turns each finding into a refund-ready report with click IDs, campaign details, timestamps, session recordings, and signal-by-signal reasoning — formatted the way platform teams review invalid-traffic claims.

Across 2,500+ brands audited, 83% of BotRefund clients recover funds from Google and Meta. That approval rate comes from three things: 99% bot-detection confidence, reports built in a format reviewers can read, and deep experience negotiating successful claims. The negotiation step matters: BotRefund formats the data, writes the claim, and supports the back-and-forth with the documentation and arguments reviewers need to return money.

Harden Your Detection Layer Before the Next Audit

A refund recovers past waste. Ongoing detection stops future waste. After the audit, deploy the same client-side signals that powered the investigation so every new session is scored in real time.

• Ghost click detection catches click activity without the natural sequence of human intent.
• Honeypot trap interactions watch for bots that respond to hidden or deceptive page elements.
• Robotic linear mouse movements flag unnaturally straight pointer paths.
• Absence of humanlike mouse tremor looks for the tiny imperfections typical of real movement.
• Superhuman input speed (<1 ms) identifies interactions faster than a person can perform.
• Grid-aligned movement patterns detect movement that snaps to precise lines instead of natural curves.
• Absence of clicks or scrolling highlights sessions too static to be human.
• Unnatural session durations catches visits that are too short, too long, or too uniform.

These signals feed the same prediction AI that weighs the complete pattern across browser, network, device, and behavior evidence. The result is a live shield that protects conversion pixels from poisoning and keeps attribution clean.

Protect Your Conversion Pixels and Bidding Algorithms

Bot clicks do more than waste budget. They poison the conversion signals that Google and Meta use to optimize your campaigns. When bots load pages, click buttons, or submit fake forms, the platforms learn to target more people who behave like bots. That raises customer acquisition costs and lowers ROAS.

BotRefund blocks pixel poisoning in real time and captures GCLIDs with behavioral evidence so your optimization algorithms see only human intent. This is especially critical on Meta, where fake leads from Facebook ads — spam phone numbers, fake emails, random strings — corrupt bidding models and waste sales-team hours.

When to Re-Audit and How to Track Progress

Schedule a follow-up audit 30–60 days after you deploy mitigations and file claims. Compare the new session-level bot rate against the baseline. Verify that:

• High-confidence bot sessions drop by at least 80% on protected campaigns.
• Refund claims show "approved" or "paid" status in Google Ads and Meta Ads Manager.
• Conversion rates and CPA improve on campaigns that were previously polluted.

If bot rates persist, check whether new traffic sources, proxy networks, or automation frameworks have appeared. BotRefund adds new detection vectors continuously; a re-audit picks them up.

Common Mistakes That Undermine Recovery

Limitations and When This Checklist Doesn't Apply

• Low-spend accounts. If monthly ad spend is under a few thousand dollars, the refund amount may not justify the claim effort. The checklist still works, but the ROI threshold changes.
• Pure brand-awareness campaigns. Impression-based buys with no click IDs cannot use the click-ID evidence path. Different evidence rules apply.
• Non-Google/Meta platforms. TikTok, LinkedIn, Twitter/X, and programmatic DSPs have their own refund processes. The detection signals still work; the claim format differs.
• Server-side only analytics. If you rely solely on server logs, you miss the client-side behavioral signals (mouse tremor, scroll behavior, iframe context) that drive 99% confidence. The audit will be less precise.

Key Facts

FAQ

What if Google or Meta denies the claim?

Denials usually cite insufficient evidence or policy mismatch. BotRefund's negotiation experience means the initial submission anticipates common denial reasons. If denied, you can supplement with additional session recordings, signal breakdowns, or placement-level breakdowns and request a re-review.

Do I need to keep BotRefund installed after the audit?

Yes. The audit is a point-in-time diagnosis. Continuous client-side detection stops new bot traffic from poisoning pixels and wasting budget. It also builds the evidence trail for the next claim cycle.

Can I run the audit myself with free tools?

Free tools (Google Analytics bot filtering, Cloudflare bot management, server log analyzers) catch basic scrapers and known bad IPs. They miss advanced botnets that rotate residential proxies, mimic human mouse curves, and solve CAPTCHAs. Client-side behavioral signals — tremor, timing, scroll variance, iframe context — require code that runs in the visitor's browser.

What does the audit cost?

BotRefund offers a free bot audit. The ongoing protection tier starts under $10,000/month for enterprise volumes. Pricing scales with session volume and the number of domains protected.

How do I know the audit results are accurate?

Each flagged session shows the exact signals that fired, with a side-by-side comparison of what a normal browser shows versus what the automated browser revealed. You can replay the session recording and inspect the signal breakdown yourself before filing a claim.