Ad Fraud Detection & Click Fraud Protection | Ghostwall

What

Ghostwall is an ad fraud detection and click fraud protection product for advertisers and marketing teams that buy traffic on platforms such as Google Ads, Meta, Microsoft, LinkedIn, TikTok, X, Reddit, and Pinterest. It is designed to identify non-human traffic, block suspicious conversion activity, and preserve cleaner campaign and analytics data.

The product appears positioned as a lightweight, per-site tool for performance marketers, agencies, SaaS companies, ecommerce teams, and other businesses affected by invalid clicks. Its workflow is straightforward: detect bot behavior through on-site signals, block fake conversions to reduce data corruption, and, on higher-tier plans, export forensic evidence to support refund claims with ad platforms.

Features

• Behavior-based bot detection: Ghostwall tracks 50+ bot signals, including movement, scrolling, timing, and hardware-related indicators, to distinguish likely bots from human visitors.
• Conversion blocking and shadow banning: The product blocks suspicious conversion events so ad platform pixels and attribution data are less likely to be distorted by fake traffic.
• Real-time monitoring dashboard: Teams can review live click and bot activity, blocked events, and estimated ad spend impact in a centralized dashboard.
• Forensic evidence exports: The Recovery plan provides PDF dossiers, session replay proof, and related exports intended to support invalid-click refund submissions.
• Click ID matching and claim support: Recovery features include GCLID/FBCLID matching and platform-specific claim templates to help organize refund evidence for major ad platforms.
• Fast website deployment: The site states setup takes about five minutes using a single JavaScript snippet, with no major code changes required.

Helpful Tips

• Validate detection quality against your own funnel data: Before relying on savings estimates, compare Ghostwall findings with CRM outcomes, conversion quality, and ad platform invalid-traffic reports.
• Separate protection from recovery needs: If the main objective is cleaner analytics, a detection-and-blocking plan may be sufficient; if refund workflows matter, evidence tooling becomes more important.
• Review traffic volume limits carefully: The listed plans include monthly visitor caps, so higher-volume advertisers should confirm fit before standardizing across multiple sites.
• Plan internal ownership for claims: Evidence exports can help, but refund recovery still depends on disciplined submission processes and ad platform review, which may vary by platform.
• Treat accuracy claims as vendor-stated: The site cites 95%+ detection accuracy, but independent validation methodology is not described on the page.

OpenClaw Skills

Ghostwall could likely fit well into the OpenClaw ecosystem as a signal source for marketing operations, fraud review, and campaign-governance workflows. Likely OpenClaw skills could include an agent that ingests Ghostwall event logs, summarizes bot trends by channel and landing page, flags abnormal spikes in invalid traffic, and prepares internal briefs for paid media teams. If evidence exports are accessible operationally, another workflow could organize refund packets, track submission status, and route claim tasks to the right owner.

For agencies and performance teams, this combination could shift fraud handling from reactive investigation to semi-automated oversight. A likely use case is an OpenClaw agent that correlates blocked clicks with CRM lead quality, campaign changes, and attribution anomalies to identify where bot pressure is most damaging. Even if no native integration is confirmed on the page, Ghostwall’s dashboards, reports, and forensic outputs suggest practical inputs for OpenClaw skills focused on paid media QA, client reporting, refund operations, and broader marketing data hygiene.