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: 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: 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...

Direct Answer: BotRefund offers a free audit that installs a lightweight detection script on your site. It will log bot sessions based on behavioral signals like mouse acceleration and hardware rendering pipelines. You can see the results and decide whether to proceed with full...

Direct Answer: The first 48-72 hours are critical because the algorithm assigns heavy weight to early interactions. Installing a client-side bot detection tool like BotRefund before launching a campaign ensures that only verified human conversions are recorded, preventing the 'bot loop' that can derail...

Direct Answer: A single anomaly is just one observation, like a History Evasion mismatch, while a bot verdict comes after reviewing the full pattern. BotRefund collects independent evidence and cross-checks it before reaching a verdict. That prevents real users with privacy tools or unusual...

Direct Answer: Real-time blocking stops bots from triggering your pixels and consuming your budget the moment they hit your site, which protects your live campaigns today. Past spend recovery means gathering evidence of historical invalid clicks and submitting it to the ad platform for...

Direct Answer: Basic fingerprinting looks at static browser details, while FlareSolverr detection looks for specific automation remnants like shortcuts left by the toolkit. BotRefund uses the FlareSolverr Patch check as one of 106 independent signals. It combines that evidence with other checks and AI...

Direct Answer: Independent evidence is one objective fact about a visit, such as a blocked challenge iframe mismatch. Cross-checked context means BotRefund tests whether other signals support the same story. A single clue is only the starting point. The final classification comes from an...

Direct Answer: IP blocking relies on static blacklists, which modern botnets can easily bypass with rotating proxies. Client-side detection analyzes behavior and browser signals in real time. BotRefund uses 110+ on-site telemetry signals to identify bots that IP blocking misses. This approach also provides...

Direct Answer: Rule based systems often flag a visit as bot based on a single tell like straight line mouse movement. BotRefund uses an AI prediction model that weighs 106 independent checks including mouse path browser APIs network signals and device fingerprints. The model...

Direct Answer: Rule-based detection trusts a raw signal by itself, while AI-based detection weighs the complete pattern. BotRefund sends all 106 signals into a prediction AI that evaluates browser, network, device, and behavior evidence together. This approach is what supports the 99 percent accuracy...

Direct Answer: The page recommends preserving attribution first, then comparing Meta reporting with web analytics, server logs, call records, email verification, and CRM stages before you touch targeting or budgets. Keep campaign, ad set, creative, placement, click identifier, landing-page URL, and timestamp with each...

Direct Answer: Start by excluding high-risk display placements, narrowing your geographic targeting to people physically in your service area, and adding hidden honeypot fields to your forms. Then install a real-time behavioral firewall like BotRefund to block bots before they trigger your pixels. These...