Direct Answer: They are detection categories that catch automated browsers built with low effort by developers who leave browser API mismatches. The Chrome API Stub check is one example in this category. BotRefund uses these vectors as part of its 106 independent checks.

Direct Answer: These are techniques that automated browsers use to hide their real location or network. BotRefund's HTTP Protocol Mismatch check looks for evidence of proxy rotation, location masking, or browser spoofing. A real visitor's connection, location, language, and timing normally agree. When they...

Direct Answer: They are a set of browser, network, device, and behavior signals that BotRefund uses to evaluate a visit. The Fast Reading Scraper check is one of them. The system uses these checks to build an evidence picture, cross-check the signals, and then...

Direct Answer: A real browser usually has coherent connection, location, language, and timing data. Automated browsers often show mismatches from proxy rotation or browser spoofing. BotRefund treats these mismatches as evidence and cross-checks them against 106 independent signals before deciding.

Direct Answer: A single behavioral signal like a blocked iframe mismatch can be caused by privacy tools or unusual devices. BotRefund does not treat one anomaly as a verdict. It keeps the signal as evidence and cross-checks it against other independent data. Using only...

Direct Answer: Fake clicks typically come from three places: competitor click campaigns where rivals manually click your ads, botnets and proxy networks that route automated requests through compromised residential devices, and malicious display or publisher networks that auto-click ads on their own sites to...

Direct Answer: Add a clause that bans cookie placement without an active user click on the partner's domain, a clause that invalidates cookies set on checkout pages if they override prior referrals, and a clause that reserves the right to withhold payouts when click-to-conversion...

Direct Answer: It checks for complete and internally consistent browser APIs. For example, a real browser usually exposes a working Speech Synthesis feature, while an automated browser may have missing, simplified, or inconsistent implementations. BotRefund tests over 100 such checks to identify spoofed browsers....

Direct Answer: The audit scans your site with over one hundred independent checks, including browser capability, speech synthesis, network and device signals. It builds a picture of each visit and flags suspicious activity. BotRefund then provides a report showing which traffic appears automated.

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: 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: 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: 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: 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 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'...