How to Get a Click Fraud Refund (Invalid-Click Credits) from Google Ads

Google Ads runs its own invalid traffic (IVT) detection systems continuously. When those systems identify clicks that are likely non-human or otherwise invalid — bots, accidental double-clicks, traffic that traces back to server farms rather than real homes and offices — Google removes them from your billed click count and issues a credit adjustment to your account automatically. You do not need to request this credit for it to appear; it is part of Google's standard advertiser-protection mechanism.

These credits appear as "Invalid clicks" in your Google Ads statistics columns and as "Adjustment" line items in your billing history. Google does not publicize the exact signals it uses for detection, but the process runs in near-real-time and again in a post-click sweep that can adjust billing days after the click occurred.

What the credits do not guarantee: Google's detection is tuned for its own confidence thresholds. Traffic patterns that are anomalous but ambiguous — clicks routed through proxies or VPNs, sub-sources with thin engagement, bots sophisticated enough to load JavaScript and act out a plausible browsing session — can slip past Google's filters and still reach your landing page as billed, valid-looking clicks. That is the gap advertisers need to close themselves.

Start in the Google Ads interface before drafting any dispute.

Step 1 — Add the invalid-clicks columns to your statistics table. In any campaign or ad-group view, click the columns icon, search for "Invalid," and add: - Invalid clicks - Invalid click rate

Set your date range to cover the period you want to investigate. A healthy account will typically show a small invalid-click rate; a spike or a sustained elevated rate is a signal worth investigating further.

Step 2 — Check your billing adjustments. Navigate to Billing > Billing summary > View transactions. Filter for adjustments. Credits issued for invalid activity appear here with the description "Invalid activity." Note the amounts and the periods they cover.

Step 3 — Cross-reference against your third-party data. Pull your own landing-page data for the same date range. Look at sessions broken down by source, placement, and sub-ID. If your analytics show a much higher suspicious-traffic rate than the credit implies, the gap between Google's detected IVT and your observed IVT is the basis for a dispute.

Step 4 — Export the raw numbers. Download a report at the campaign, ad group, and keyword level with click totals, invalid clicks, costs, and conversions. You will need these figures if you escalate.

Google provides a formal process to request a review if you believe your account received more invalid clicks than were automatically credited.

Use the official invalid clicks contact form. In your Google Ads account, go to Help > Contact us and search for "invalid clicks." Select the option to submit an invalid click inquiry. You will be asked for: - The affected campaign(s) and date range - A description of the traffic patterns you observed - Any supporting evidence you have collected

Be specific and factual. Describe the anomaly — a sudden volume spike from a particular placement, a cluster of clicks that never produced any on-site engagement, a sub-source with a click-through rate that is orders of magnitude higher than the campaign average — rather than making a general complaint.

What Google reviews. Google's team re-examines the traffic in question against their internal signals. They may or may not agree that additional credits are warranted. The process is not an audit you can observe, and Google does not share the detailed outcome of its detection. What you can control is the quality and specificity of the evidence you submit.

Set realistic expectations. Google credits represent Google's position on validity. Advertisers with detailed third-party evidence — timestamped, per-click quality scores attached to named placements and a clear summary of why each click looked invalid — tend to build stronger cases than those submitting only screenshots. The more granular and objective your data, the more actionable your dispute becomes.

Timelines matter. Submit disputes promptly. While Google does not publish a hard deadline, the farther removed you are from the click date, the less complete your supporting data is likely to be. Aim to review your billing adjustments monthly and file any dispute within 60 days of the relevant period.

A strong dispute file translates raw suspicion into documented, timestamped, objective evidence. Work through this checklist before contacting Google.

Traffic attribution data - Click volume broken down by campaign, ad group, placement, and sub-ID (publisher/site/zone) - Timestamps of click spikes - Geographic distribution of clicks versus your target geography - Device and browser breakdown

Engagement evidence - Bounce rate and average session duration for the suspect traffic segment - Scroll depth and time-on-page for clicks from the flagged source - CTA click rate (or absence thereof) for sessions from the sub-source in question - Zero or near-zero conversion rate from the flagged traffic relative to other sources

Network-level signals (if available) - IP-range data showing a heavy concentration of clicks coming from hosting and cloud infrastructure instead of ordinary consumer connections - Indications that a traffic segment is arriving through proxies or VPNs - Evidence of repeated click IDs or anomalous click ID patterns from the network's own macros

Per-click quality scores with a plain-language reason for each This is where a tool like ValidVisit adds measurable value. Rather than submitting aggregate bounce-rate data, you can attach a publisher-level or placement-level breakdown that shows the distribution of quality scores — and a short, readable explanation of what pulled each score down: - the click originated from cloud or hosting infrastructure rather than a real home or business connection - the visitor's environment looked automated rather than like an ordinary person's browser - the visit showed none of the page-loading behavior a real browser produces - a call-to-action fired within milliseconds of arrival, far faster than any genuine reading pace - the on-page interactions looked machine-generated rather than human

A table showing that a specific placement delivered 400 clicks in a 48-hour window, of which 78% received a quality score below 50 — most of them flagged as hosting-origin traffic with automated-looking environments — is far more compelling than a screenshot of a high bounce rate.

ValidVisit weighs every paid click against 100+ independent data points — spanning the network the click came from, the device sitting behind it and the way the visitor actually behaves on the page — and folds them into a single 0-100 quality score. Genuine humans clear it comfortably; bots, click farms and recycled server-farm traffic stand out. Each score arrives with a transparent, plain-language explanation of what dragged it down, so you can read at a glance why a click was rated the way it was.

Because every click is attributed to the network's own tracking tokens — publisher ID, placement ID, sub-ID, zone — via ValidVisit's 46-network tracking token directory, you can produce a report that answers the exact question Google's dispute team needs answered: which specific sub-source sent the traffic, and what exactly was wrong with it?

The practical workflow looks like this:

1. Identify — ValidVisit's suspicious traffic report surfaces placements and sub-sources where the average quality score has dropped, or where a high proportion of clicks share the same quality problem. 2. Document — Export the per-click or per-session breakdown for the flagged placement, covering the billing period in dispute. This becomes your primary evidence attachment. 3. Quarantine context — Scoring happens after the click has already arrived, so ValidVisit routes suspect events into a quarantine pipeline rather than silently dropping them. You keep the full record of what landed and why it scored the way it did — an audit trail that matters if Google asks follow-up questions. 4. Act in the ad network — ValidVisit never pushes exclusions to ad platforms on its own; the deliberate design is to keep you in control. Take the publisher and placement IDs from the report and manually exclude them in Google Ads' placement exclusion list, or escalate them with the network's own traffic-quality team. 5. Protect your conversion data going forward — the longer-term value is not the credit itself but the quality of your conversion signals. Bots and invalid traffic that reach your thank-you page or trigger your conversion pixel pollute the optimization data that Smart Bidding learns from. Removing those events from your attribution keeps your campaigns training on genuine buyers.

A click fraud refund recovers past spend. Clean, scored traffic data protects the optimization quality — and therefore the efficiency — of every future campaign.