Direct Answer: No, a single browser tell is usually not enough to identify a bot. Real users can trigger unusual signals for legitimate reasons. BotRefund uses 106 independent checks and cross-checks context before reaching a bot verdict.

Direct Answer: BotRefund focuses on the conversion end rather than the click end, analyzing behavioral signals and the full attribution path to catch manipulation that click‑level tools miss. It runs in parallel with your existing fraud solution, providing a side‑by‑side comparison of which commissions...

Direct Answer: BotRefund adheres to GDPR, CCPA, SOC‑II, and ISO 27001 standards, ensuring that personal data is processed lawfully. The platform stores only anonymized behavioral signals and provides data‑subject access controls. All evidence generated is kept on secure servers with encrypted transmission. This compliance...

Direct Answer: BotRefund is built with privacy in mind, collecting only anonymized behavioral signals and device fingerprints that do not contain personally identifiable information. The script can be configured to honor Do‑Not‑Track headers and to exclude data from users who opt out of tracking....

Direct Answer: BotRefund’s script captures all network requests made during a session, including hidden image or iframe loads that set cookies without user interaction. It correlates those cookie events with the timing of the conversion and the original UTM data. When a cookie appears...

Direct Answer: BotRefund provides a RESTful API that delivers bot detection events, confidence scores, and session recordings to external systems. You can push this data into Google Analytics, Mixpanel, or any custom dashboard for unified reporting. The API respects rate limits and includes authentication...

Direct Answer: BotRefund’s tracking script is designed to be lightweight, loading asynchronously and collecting only essential behavioral and attribution data. It does not block page rendering or add noticeable latency, so Core Web Vitals remain unaffected. The script also respects privacy settings and can...

Direct Answer: Anti-stealth traps are detection methods specifically designed to catch bots that try to hide their automation. One example is the native patching check, which finds mismatches when automation tools patch or hide browser APIs. BotRefund uses such traps as part of its...

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: 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: 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: 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: 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: 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'...

Direct Answer: BotRefund avoids making a bot verdict from one anomaly. A user with accessibility tools could produce a signal that looks unusual, but BotRefund looks for corroboration from other checks. If the rest of the pattern matches human behavior, that user is not...