Direct Answer: The Console Debug Evaluator check looks for mismatches in a browser's built-in properties, permissions, and rendering contexts that are not present in normal browsing sessions. BotRefund uses it as one of 106 independent checks to help decide whether a visit is human...

Direct Answer: The Default Viewport check looks for a mismatch that a real browsing session does not normally create. Automation tools often patch or hide browser APIs, but those changes can break when checked from another angle. BotRefund uses this as one of 106...

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: Evidence is an objective fact about a visit, like a connection anomaly, that adds context. A bot verdict is the final decision made after cross-checking that evidence with other independent signals. BotRefund separates the two by treating each check as evidence and...

Direct Answer: Evidence is one objective fact about a visit, such as a browser API mismatch. A bot verdict is a conclusion reached after cross-checking multiple signals. BotRefund keeps signals as evidence first and only reaches a verdict when the complete pattern supports it.

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: This category includes checks designed to catch bots that try to evade detection or hide automation. The Iframe Webdriver Leak check is one example used by BotRefund. It looks for API mismatches that automated browsers produce when their patches break under inspection....

Direct Answer: It is used to spot automated browsers that try to behave like people reading a page. A real visitor shows pauses and decision-making while scrolling, while a scraper often sends interactions more quickly and uniformly. BotRefund treats this mismatch as one objective...

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...

Direct Answer: The check compares the operating‑system identifier with the set of fonts reported by the browser. Spoofed or virtual browsers often present a mismatch because they cannot perfectly emulate a real device’s font library. When a mismatch is found it becomes a strong...

Direct Answer: The free Starter tier allows up to three hundred bot detections per month. It includes the full verification dashboard and self‑service refund report generation. If you exceed the limit, you can upgrade to a paid plan for unlimited coverage.

Direct Answer: The Headless UA Evader check looks for mismatches that a real browsing session does not normally create, such as tool-specific shortcuts or automation remnants. BotRefund uses this as one of 106 independent checks to build a reliable picture of whether a visit...

Direct Answer: The Keyboard Layout Leak check 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. This signal adds objective...

Direct Answer: It is looking for a mismatch between how a normal browser runs standard APIs and what an automated browser reveals. Automation tools often patch browser APIs to hide themselves, but those patches can break when checked from another angle. BotRefund uses this...