Direct Answer: History Evasion is a check that looks for mismatches in a browser's exposed capabilities. A normal browser shows complete, internally consistent capabilities, while a partially spoofed browser may show missing, simplified, or inconsistent details. BotRefund uses History Evasion as one of 106...

Direct Answer: Independent evidence means each signal adds one objective fact about the visit. BotRefund does not trust one signal by itself. It cross-checks that fact against other browser, network, device, and behavior data. The AI model then weighs the complete pattern to decide...

Direct Answer: IP address inconsistency is a signal that looks for mismatches between a visitor's connection, location, language, and timing. A real browsing session usually has these facts agreeing with each other, while proxy rotation or location masking can make them disagree. BotRefund uses...

Direct Answer: Pixel poisoning happens when bots trigger conversion events on your site, causing your ad platform to optimize for fake signals. This corrupts your lookalike audiences and can spike your CPA. BotRefund prevents this by suppressing the Meta Pixel in real time when...

Direct Answer: Pixel poisoning happens when bots trigger your tracking pixels, which the ad platform interprets as successful conversions. The algorithm then adjusts your bidding to target more users that behave like those bots, leading to wasted spend on non-human traffic. This is a...

Direct Answer: Pixel poisoning happens when bot sessions trigger your Meta Pixel conversion events, feeding false signals to the ad algorithm. The algorithm then optimizes toward more bot-like traffic, raising costs while real conversions decline. BotRefund suppresses pixel conversion events during bot sessions in...

Direct Answer: Pixel poisoning happens when bots trigger conversion actions on your landing pages, which then feed your ad platform's machine learning models. The bidding engine studies those bot interactions and optimizes targeting to serve ads to similar bot profiles. This feedback loop drains...

Direct Answer: Pixel poisoning happens when bot interactions trigger your tracking pixels, making the ad platform think those are valuable conversions. The algorithm then shifts budget toward similar bot traffic, wasting spend. BotRefund prevents pixel poisoning by suppressing pixels on automated sessions, forcing the...

Direct Answer: Pixel poisoning happens when bot sessions trigger conversion pixels and train ad algorithms to target similar bot profiles. Over time the algorithm spends more budget on low-quality inventory that looks like the bot. BotRefund prevents pixel poisoning by suppressing the Google Tag,...

Direct Answer: Pixel poisoning happens when bot sessions trigger your conversion pixel, giving the ad platform a false positive. The algorithm then optimizes for more of those bot-like profiles, which drives up spend without real sales. BotRefund prevents this by suppressing pixels on bot...

Direct Answer: Pixel poisoning happens when low-quality or bot conversions are sent back to Meta as if they were real leads, so the algorithm learns to optimize toward more of the same junk traffic. The page recommends creating a verified-lead or qualified-lead event after...

Direct Answer: Proxy rotation is when automated traffic switches IP addresses frequently to avoid being blocked. It can make a visitor's language, location, and network timing disagree with each other. BotRefund uses the Languages Mismatch check to capture this kind of inconsistency as evidence....

Direct Answer: Real-time pixel suppression is one of BotRefund's specialized defenses. It prevents bot sessions from triggering your tracking pixels, so your ad algorithms don't get trained on invalid data. This helps stabilize your return on ad spend by keeping your conversion data clean...

Direct Answer: It looks for a mismatch that a real browsing session does not normally create. Virtual machines and spoofed profiles can claim one device while their graphics, fonts, audio, or processor behavior tells another story. BotRefund uses this as one of 106 independent...

Direct Answer: Each check looks at a different aspect of the visitor’s environment, such as browser APIs, device fingerprints or network behavior. When many checks agree, the confidence in the classification rises dramatically. This redundancy protects against evasion techniques that target a single detection...

Direct Answer: Having 106 independent checks allows BotRefund to build a robust picture of each visit. A single signal like constant scroll speed can be misleading due to privacy tools or unusual devices. With many checks, the tool can cross-reference evidence and see if...

Direct Answer: One rule can be fooled by a bot that mimics a single behavior. BotRefund uses 106 independent checks so a verdict is based on the whole picture. Each signal adds an objective fact about the visit, and the AI model looks for...

Direct Answer: Having 106 independent checks means BotRefund does not rely on a single browser tell. Each check adds one objective fact about the visit. The AI weighs the complete pattern across all signals. This multi-signal approach reduces false positives and improves accuracy to...

Direct Answer: Each check adds an objective fact about the visit. The Timezone Evasion check provides evidence of proxy rotation or location masking that might otherwise go unnoticed. By including it among 106 independent signals, BotRefund can cross-check whether the timezone mismatch is supported...

Direct Answer: Using 106 independent checks allows BotRefund to build a comprehensive and reliable picture of whether a visit is human or automated. Each check provides a piece of objective evidence that is then cross-checked and analyzed by AI prediction. This multi-signal approach significantly...