Direct Answer: Accuracy comes from corroboration instead of trusting one browser tell. BotRefund sends each signal into its prediction AI, which evaluates the complete pattern across browser, network, device, and behavior evidence. That cross-checked context is what supports the 99 percent accuracy claim.

Direct Answer: Google requires a Click Investigation request with an evidence spreadsheet that includes the unique Google Click IDs (GCLIDs), precise timestamps, and behavioral proof that the clicks came from automated bots. BotRefund automatically captures and bundles this data into a dispute-ready report so...

Direct Answer: It should treat it as one piece of evidence, not a final answer. BotRefund sends the signal into its prediction AI and checks it against browser, network, device, and behavior data. The page explains that a single anomaly is not a bot...

Direct Answer: It should keep the anomaly as evidence and investigate the rest of the visit before deciding. Privacy tools, travel, corporate networks, and unusual devices can produce false alarms. BotRefund cross-checks the anomaly with independent data and only calls it a bot when...

Direct Answer: A privacy tool or unusual network setup can make a real visitor look suspicious in a single network check. BotRefund handles this by treating the DNS Challenge Blocked signal as evidence rather than a verdict. It cross-checks the signal with other independent...

Direct Answer: A single anomaly is not a definitive verdict. BotRefund cross-checks it against other signals to determine if it is part of a larger pattern. If other signals support the anomaly, the AI model may classify the visit as a bot. You can...

Direct Answer: A mismatch alone isn't a verdict, so don't panic. BotRefund will show you whether other signals agree with that mismatch. If enough evidence points to a bot, you can use that report to block the traffic or file a refund claim. The...

Direct Answer: Do not conclude it is a bot from that single anomaly alone. BotRefund keeps each signal like Perfect Frame Lock as evidence and cross-checks it against independent browser, network, device, and behavior data. If other signals do not support the bot story,...

Direct Answer: That is a strong indicator of bot traffic. The page recommends examining traffic by location and excluding suspicious regions, then checking for sudden spikes during off-peak hours like 2-4 AM. BotRefund automates this by flagging non-human visitors at the client-side level so...

Direct Answer: You should look at the complete evidence pattern rather than the one anomaly. A real visitor can appear unusual because of privacy tools, travel, corporate networks, or accessibility devices. BotRefund avoids making a verdict from a single signal and only flags a...

Direct Answer: Sub-second form completions are a red flag for automated bot behavior. The page recommends verifying conversion timestamps and comparing platform conversions against actual orders. BotRefund can help document these anomalies and suppress pixels on suspicious sessions.

Direct Answer: Duplicated campaigns often fail because the original happened to acquire human conversions early while the duplicate was contaminated by bots in its opening hours on Search Partners or Audience Network. BotRefund prevents this inconsistency by suppressing pixels on bot sessions from installation...

Direct Answer: You should expect the tool to look at the whole picture instead of trusting one browser tell. BotRefund gathers independent evidence from many sources, cross-checks the context, and uses AI prediction to classify the visit. A single anomaly from privacy tools or...

Direct Answer: Look for a tool that uses many independent checks and cross-checks them before deciding something is a bot. BotRefund keeps each signal, including DNS Challenge Blocked, as evidence rather than a verdict. It also uses AI prediction to weigh the complete pattern...

Direct Answer: It looks at browser capabilities and whether they are complete and internally consistent. For example, History Evasion checks for missing, simplified, or inconsistent details that a real browsing session would not normally show. BotRefund uses this as one of 106 independent checks,...

Direct Answer: BotRefund provides a lightweight detection script that runs in the browser and analyzes mouse movement timing hesitation and variation. The script is designed to avoid impacting Core Web Vitals or page load speed. It collects behavioral signals including the Robotic Mouse Path...

Direct Answer: Ad networks process billions of events per second and rely on quick checks like IP blacklists and duplicate click frequencies. They do not analyze client-side hardware signatures, mouse velocity, or scroll depth. There is also a structural conflict of interest since platforms...

Direct Answer: During the learning window the ad platform assigns heavy weight to the first 20 to 50 conversions. If bots contaminate those early interactions, the algorithm locks onto a bot profile and keeps buying cheap bot inventory. BotRefund ensures the first conversions come...

Direct Answer: A duplicate campaign can fail immediately if bots contaminate it during the first 48 to 72 hours, while the original happened to collect human conversions early. The ad algorithm assigns heavy weight to those first recorded interactions, so a bot-heavy start can...

Direct Answer: They often build partial or placeholder implementations that do not hold up when checked from multiple angles. BotRefund's Background Navigation check looks for these internal inconsistencies. Then it cross-checks the anomaly with independent browser, network, device, and behavior data. That is why...