Direct Answer: A normal browser exposes complete, internally consistent navigation timing data. An automated browser often reveals missing, simplified, or inconsistent capabilities when checked beyond the surface. BotRefund's Navigation Timing Stub check looks for this mismatch. The difference helps BotRefund build evidence about the...

Direct Answer: A normal browser runs standard browser APIs as designed, so its properties and permissions stay consistent. An automated browser often reveals mismatches when it tries to patch or hide those APIs. BotRefund checks for these differences, such as the Iframe Webdriver Leak,...

Direct Answer: A normal visitor produces imperfect, varied behavior with pauses, hesitation, and natural movement. A scraper bot can send clicks and scrolls, but it often fails to reproduce the varied timing and decision-making. BotRefund uses this contrast in its Fast Reading Scraper check....

Direct Answer: A normal browser reports hardware, graphics, fonts, and operating-system details that naturally fit together for that device. An automated browser or virtual machine can claim one device while its graphics, fonts, audio, or processor behavior tells another story. BotRefund captures that difference...

Direct Answer: It means the tool looks at multiple independent signals to see if they tell the same story. An audio channel mismatch alone is not enough, so BotRefund also checks browser, network, device, and behavior data. Cross-checking helps avoid false positives from real...

Direct Answer: Cross-checking means the tool doesn't trust a single anomaly on its own. For example, BotRefund takes a signal like toString Interrogation and tests whether other independent signals tell the same story. If they do, the tool can be far more confident about...

Direct Answer: It means the tool does not decide based on one browser tell alone. BotRefund sends each signal into its prediction AI and evaluates the complete picture across browser, network, device, and behavior evidence. Cross-checking helps confirm whether other signals support the same...

Direct Answer: It means the tool uses 106 separate objective facts about a visit to build a reliable picture. The Hex-Edited CDP Leak is one of those checks on the Evasion, Debugger, and Anti-Stealth Traps page. Having many checks makes it harder for automated...

Direct Answer: The webpage invites visitors to add free bot protection to their website after explaining the CSP Bypass check. It suggests that users can get a free bot audit to see how the system works. This offer is presented as a way to...

Direct Answer: Networks typically want referrer domain violations, timing proof showing automated sub-second conversions, and behavioral telemetry proving no human interaction occurred. BotRefund compiles these into audit CSVs with click logs, CTCT lists, and scroll/typing event data formatted for network compliance teams.

Direct Answer: You need a forensic click log that ties each invalid click to an ad click ID. BotRefund captures GCLID and FBCLID records, along with session behavior, to build compliance-ready dispute logs. These logs are designed to support invalid activity refund claims.

Direct Answer: BotRefund treats that mismatch as one piece of evidence, not a final answer. It cross-checks the signal against independent browser, network, device, and behavior data. The AI prediction then decides if the visit is a bot, which is why a single mismatch...

Direct Answer: After a signal is collected, BotRefund treats it as one objective fact about the visit. It then cross-checks that signal against independent browser, network, device, and behavior data. The prediction AI weighs the complete pattern instead of trusting a raw rule. That...

Direct Answer: The signal is treated as independent evidence and sent into BotRefund's prediction AI. The AI evaluates it together with browser, network, device, and behavior data to decide if the visit is human or automated. When the evidence supports a bot verdict, it...

Direct Answer: After the audit, BotRefund provides you with a detailed, evidence-based report that is formatted for the ad platform's Traffic Quality team. For self-service users, you simply send this report to your rep; for enterprise users, BotRefund's negotiators handle the entire process. Most...

Direct Answer: You take the dispute-ready report containing the GCLIDs, timestamps, and behavioral proof and submit it to Google Ads or Meta Ads support as a Click Investigation request. Once the ad platform reviews the evidence, they issue a billing credit back to your...

Direct Answer: You receive a CSV with flagged conversions, the specific behavioral signals that triggered each flag, and referrer/timing evidence. You can submit this to your affiliate network to withhold payouts on verified violations, or use it to refine your ToS clauses before scaling...

Direct Answer: You receive a concise report showing the percentage of traffic flagged as bot and the key signals behind each flag. The report also outlines next steps for real‑time blocking or filing refunds. If you choose, you can upgrade to full protection directly...

Direct Answer: In the early learning phase, the ad platform's algorithm assigns heavy statistical weight to the first 20-50 interactions. If those are bot conversions, the algorithm enters a 'bot loop' and continues to buy cheap bot traffic. BotRefund ensures those early signals are...

Direct Answer: During the learning phase, the ad platform's neural network has very few data points and assigns high weight to the first 20–50 interactions. If those interactions are from bots on low-quality networks like Google Search Partners, the algorithm enters a 'bot loop'...