What is the difference between blocking bots in real time and only recovering past spend?

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: Evidence is an objective fact about a visit, like a browser mismatch. A verdict is a decision that the visit is a bot. BotRefund treats each signal as evidence first. It cross-checks the evidence against independent data and only then uses AI...

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: General invalid traffic is basic bots, known crawler user agents, and data center IPs that Meta usually catches. Sophisticated invalid traffic uses residential IPs, real devices, and human emulation to bypass automated filters. SIVT must be identified through client-side behavioral analysis. BotRefund...

Direct Answer: Independent evidence is one objective fact about a visit, like a Background Navigation mismatch. A bot verdict is a conclusion that comes after cross-checking multiple signals. BotRefund treats each signal as evidence, not proof. The verdict is only made when the complete...

Direct Answer: Independent evidence is one fact about a visit, such as a weird scroll pattern or browser detail. A bot verdict is the final decision that a visit is automated. BotRefund keeps each signal as evidence and does not call a bot based...

Direct Answer: Independent evidence is a single objective fact, such as an Iframe Webdriver Leak mismatch, that adds context about a visit. A bot verdict comes only after that evidence is cross-checked against other signals and weighed by AI prediction. BotRefund treats each check...

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: IP blocking relies on blocklists that rotating residential proxies easily bypass. Client-side detection inspects the active visitor's device and behavior, providing a more reliable way to catch sophisticated bots. BotRefund uses client-side detection to suppress pixels on bot sessions.

Direct Answer: Network-level filtering like IP blocklists can be easily bypassed by modern bots using rotating residential proxies. Client-side detection, like BotRefund's, inspects the visitor's device and interaction dynamics—such as mouse acceleration, touch pressure, and headless browser attributes—which are much harder for bots to...

Direct Answer: Network filters like Cloudflare block known bad IPs but miss bots that mimic human behavior on residential proxies or use browser extensions to inject cookies at checkout. Client-side detection from BotRefund analyzes mouse dynamics, scroll patterns, and API inconsistencies inside the browser...

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 bot detection flags visits based on a single predefined signal, like an IP address or one browser anomaly, which often leads to false positives. AI-based detection, like BotRefund's model, weighs the complete pattern of 106 independent signals to determine if a...

Direct Answer: Rule-based detection might flag a visit the moment one signal looks wrong, which leads to false positives. AI-based detection like BotRefund weighs the complete pattern across browser, network, device, and behavior evidence. The Font OS Mismatch check becomes just one input into...

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 check looks for mismatches between reported device attributes such as hardware, graphics, fonts, and operating system. Real browsers present consistent information, while virtual machines or spoofed profiles often show contradictions. Detecting these anomalies helps flag automated browsers.

Direct Answer: The Error Stack Proxy check looks for a mismatch in browser APIs that a real browsing session does not normally create. Automation tools often patch or hide browser APIs, but those changes can break when the browser is checked from another angle....

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: General invalid traffic is basic bots, known crawler user agents, and data center IPs that Meta usually catches. Sophisticated invalid traffic uses residential IPs, real devices, and human emulation to bypass automated filters. SIVT must be identified through client-side behavioral analysis. BotRefund...

Direct Answer: Independent evidence is one objective fact about a visit, like a Background Navigation mismatch. A bot verdict is a conclusion that comes after cross-checking multiple signals. BotRefund treats each signal as evidence, not proof. The verdict is only made when the complete...

Direct Answer: Independent evidence is one fact about a visit, such as a weird scroll pattern or browser detail. A bot verdict is the final decision that a visit is automated. BotRefund keeps each signal as evidence and does not call a bot based...

Direct Answer: Independent evidence is a single objective fact, such as an Iframe Webdriver Leak mismatch, that adds context about a visit. A bot verdict comes only after that evidence is cross-checked against other signals and weighed by AI prediction. BotRefund treats each check...

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: IP blocking relies on blocklists that rotating residential proxies easily bypass. Client-side detection inspects the active visitor's device and behavior, providing a more reliable way to catch sophisticated bots. BotRefund uses client-side detection to suppress pixels on bot sessions.

Direct Answer: Network-level filtering like IP blocklists can be easily bypassed by modern bots using rotating residential proxies. Client-side detection, like BotRefund's, inspects the visitor's device and interaction dynamics—such as mouse acceleration, touch pressure, and headless browser attributes—which are much harder for bots to...

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 bot detection flags visits based on a single predefined signal, like an IP address or one browser anomaly, which often leads to false positives. AI-based detection, like BotRefund's model, weighs the complete pattern of 106 independent signals to determine if a...

Direct Answer: Rule-based detection might flag a visit the moment one signal looks wrong, which leads to false positives. AI-based detection like BotRefund weighs the complete pattern across browser, network, device, and behavior evidence. The Font OS Mismatch check becomes just one input into...

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 check looks for mismatches between reported device attributes such as hardware, graphics, fonts, and operating system. Real browsers present consistent information, while virtual machines or spoofed profiles often show contradictions. Detecting these anomalies helps flag automated browsers.

Direct Answer: The Error Stack Proxy check looks for a mismatch in browser APIs that a real browsing session does not normally create. Automation tools often patch or hide browser APIs, but those changes can break when the browser is checked from another angle....

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: The ExposeFunction Leak check looks for mismatches in browser API behavior that real browsers don't normally produce. Automated tools often patch or hide browser APIs to mask their automation, but these patches can break when the browser is checked from a different...

Direct Answer: First, log FBCLIDs server-side on every landing page visit. Then deploy client-side behavioral analysis to capture bot signals. Next, build an evidence package with FBCLIDs, timestamps, anomalies, and charge amounts. Finally, submit the dispute through Meta Business Help Center. BotRefund automates most...

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: The Error Stack Proxy check looks for a mismatch in browser APIs that a real browsing session does not normally create. Automation tools often patch or hide browser APIs, but those changes can break when the browser is checked from another angle....

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: The ExposeFunction Leak check looks for mismatches in browser API behavior that real browsers don't normally produce. Automated tools often patch or hide browser APIs to mask their automation, but these patches can break when the browser is checked from a different...

Direct Answer: First, log FBCLIDs server-side on every landing page visit. Then deploy client-side behavioral analysis to capture bot signals. Next, build an evidence package with FBCLIDs, timestamps, anomalies, and charge amounts. Finally, submit the dispute through Meta Business Help Center. BotRefund automates most...

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 Iframe Webdriver Leak check is one of 106 independent signals BotRefund uses to evaluate a visit. It looks for a mismatch that automation tools often create when they patch or hide browser APIs. A real browsing session normally does not produce...

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...

Direct Answer: It is one of 106 independent checks BotRefund uses to distinguish human visitors from automated browsers. The check looks for a mismatch that often appears when automation tools patch browser APIs. A normal browser usually shows consistent built-in properties and rendering contexts....

Direct Answer: Meta's standard review window is 14 to 30 business days. Disputes with complete evidence packages are processed faster than incomplete ones. BotRefund generates a structured report with FBCLIDs, timestamps, behavioral anomalies, and charge amounts. That helps Meta locate the billing records and...

Direct Answer: The Mobile Menu Probe is one of the 106 independent checks BotRefund uses to spot automated browsing. It looks for a mismatch that a real browsing session does not normally create. Scripts can send clicks and scrolls, but they struggle to reproduce...

Direct Answer: The Monitor Sync Anomaly check looks for timing mismatches that human browsers rarely produce. Automated scripts often send clicks and scrolls with perfectly uniform intervals, which this check flags. By spotting these unnatural patterns, BotRefund adds a strong piece of evidence toward...

Direct Answer: A normal browser runs standard APIs as designed, without needing to hide anything. A bot browser often reveals mismatches because it patches or spoofs APIs. BotRefund's Voice Brand Check compares these behaviors to spot the difference. It's one of the 106 checks...

Direct Answer: The Permission Lie check looks for a mismatch in browser APIs that a real browsing session does not normally create. Automated browsers often patch or hide APIs, but those changes can break when inspected from another angle. BotRefund uses it as one...

Direct Answer: It is one of 106 independent checks BotRefund uses to spot automated browsers. It looks for a mismatch that a normal browser session does not create, often caused by automation tools patching or hiding APIs. BotRefund treats this as evidence and cross-checks...

Direct Answer: The Error Stack Proxy check looks for a mismatch in browser APIs that a real browsing session does not normally create. Automation tools often patch or hide browser APIs, but those changes can break when the browser is checked from another angle....

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: The ExposeFunction Leak check looks for mismatches in browser API behavior that real browsers don't normally produce. Automated tools often patch or hide browser APIs to mask their automation, but these patches can break when the browser is checked from a different...

Direct Answer: First, log FBCLIDs server-side on every landing page visit. Then deploy client-side behavioral analysis to capture bot signals. Next, build an evidence package with FBCLIDs, timestamps, anomalies, and charge amounts. Finally, submit the dispute through Meta Business Help Center. BotRefund automates most...

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 Iframe Webdriver Leak check is one of 106 independent signals BotRefund uses to evaluate a visit. It looks for a mismatch that automation tools often create when they patch or hide browser APIs. A real browsing session normally does not produce...

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...

Direct Answer: It is one of 106 independent checks BotRefund uses to distinguish human visitors from automated browsers. The check looks for a mismatch that often appears when automation tools patch browser APIs. A normal browser usually shows consistent built-in properties and rendering contexts....

Direct Answer: Meta's standard review window is 14 to 30 business days. Disputes with complete evidence packages are processed faster than incomplete ones. BotRefund generates a structured report with FBCLIDs, timestamps, behavioral anomalies, and charge amounts. That helps Meta locate the billing records and...

Direct Answer: The Mobile Menu Probe is one of the 106 independent checks BotRefund uses to spot automated browsing. It looks for a mismatch that a real browsing session does not normally create. Scripts can send clicks and scrolls, but they struggle to reproduce...

Direct Answer: The Monitor Sync Anomaly check looks for timing mismatches that human browsers rarely produce. Automated scripts often send clicks and scrolls with perfectly uniform intervals, which this check flags. By spotting these unnatural patterns, BotRefund adds a strong piece of evidence toward...

Direct Answer: A normal browser runs standard APIs as designed, without needing to hide anything. A bot browser often reveals mismatches because it patches or spoofs APIs. BotRefund's Voice Brand Check compares these behaviors to spot the difference. It's one of the 106 checks...

Direct Answer: The Permission Lie check looks for a mismatch in browser APIs that a real browsing session does not normally create. Automated browsers often patch or hide APIs, but those changes can break when inspected from another angle. BotRefund uses it as one...

Direct Answer: It is one of 106 independent checks BotRefund uses to spot automated browsers. It looks for a mismatch that a normal browser session does not create, often caused by automation tools patching or hiding APIs. BotRefund treats this as evidence and cross-checks...

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 Iframe Webdriver Leak check is one of 106 independent signals BotRefund uses to evaluate a visit. It looks for a mismatch that automation tools often create when they patch or hide browser APIs. A real browsing session normally does not produce...

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...

Direct Answer: It is one of 106 independent checks BotRefund uses to distinguish human visitors from automated browsers. The check looks for a mismatch that often appears when automation tools patch browser APIs. A normal browser usually shows consistent built-in properties and rendering contexts....

Direct Answer: Meta's standard review window is 14 to 30 business days. Disputes with complete evidence packages are processed faster than incomplete ones. BotRefund generates a structured report with FBCLIDs, timestamps, behavioral anomalies, and charge amounts. That helps Meta locate the billing records and...

Direct Answer: The Mobile Menu Probe is one of the 106 independent checks BotRefund uses to spot automated browsing. It looks for a mismatch that a real browsing session does not normally create. Scripts can send clicks and scrolls, but they struggle to reproduce...

Direct Answer: The Monitor Sync Anomaly check looks for timing mismatches that human browsers rarely produce. Automated scripts often send clicks and scrolls with perfectly uniform intervals, which this check flags. By spotting these unnatural patterns, BotRefund adds a strong piece of evidence toward...

Direct Answer: A normal browser runs standard APIs as designed, without needing to hide anything. A bot browser often reveals mismatches because it patches or spoofs APIs. BotRefund's Voice Brand Check compares these behaviors to spot the difference. It's one of the 106 checks...

Direct Answer: The Permission Lie check looks for a mismatch in browser APIs that a real browsing session does not normally create. Automated browsers often patch or hide APIs, but those changes can break when inspected from another angle. BotRefund uses it as one...

Direct Answer: It is one of 106 independent checks BotRefund uses to spot automated browsers. It looks for a mismatch that a normal browser session does not create, often caused by automation tools patching or hiding APIs. BotRefund treats this as evidence and cross-checks...

Direct Answer: It looks for a mismatch that a real browsing session does not normally create. Automated browsers often reveal themselves when a popup blocker check is bypassed. BotRefund uses this as one of 106 independent checks. It does not rely on this signal...

Direct Answer: The prediction AI receives all independent signals and evaluates the complete pattern. Instead of trusting a raw rule, the model weighs how the browser, network, device, and behavior evidence fit together. BotRefund uses this approach to decide whether a visit is a...

Direct Answer: AI models weigh the complete pattern of all detection signals instead of following rigid raw rules, which reduces false positives from normal user variation. BotRefund's AI evaluates how its 106 independent checks align across browser, network, device, and behavior data to make...

Direct Answer: AI prediction allows the system to evaluate the full constellation of signals rather than relying on a single rule. BotRefund model takes all 106 independent checks and determines the likelihood that a visit is automated. This approach adapts to new evasion techniques...

Direct Answer: BotRefund's AI prediction model weighs the complete pattern of signals, including rapid tab blurs, mouse movements, scrolling, and browser fingerprints. Instead of relying on a single rule, the AI evaluates how all the evidence fits together. This allows it to identify sophisticated...

Direct Answer: AI prediction weighs the complete pattern of evidence instead of trusting a raw rule. A mismatch like History Evasion becomes one input into a model that evaluates browser, network, device, and behavior data together. This is how BotRefund reaches high accuracy without...

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 Iframe Webdriver Leak check is one of 106 independent signals BotRefund uses to evaluate a visit. It looks for a mismatch that automation tools often create when they patch or hide browser APIs. A real browsing session normally does not produce...

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...

Direct Answer: It is one of 106 independent checks BotRefund uses to distinguish human visitors from automated browsers. The check looks for a mismatch that often appears when automation tools patch browser APIs. A normal browser usually shows consistent built-in properties and rendering contexts....

Direct Answer: Meta's standard review window is 14 to 30 business days. Disputes with complete evidence packages are processed faster than incomplete ones. BotRefund generates a structured report with FBCLIDs, timestamps, behavioral anomalies, and charge amounts. That helps Meta locate the billing records and...

Direct Answer: The Mobile Menu Probe is one of the 106 independent checks BotRefund uses to spot automated browsing. It looks for a mismatch that a real browsing session does not normally create. Scripts can send clicks and scrolls, but they struggle to reproduce...

Direct Answer: The Monitor Sync Anomaly check looks for timing mismatches that human browsers rarely produce. Automated scripts often send clicks and scrolls with perfectly uniform intervals, which this check flags. By spotting these unnatural patterns, BotRefund adds a strong piece of evidence toward...

Direct Answer: A normal browser runs standard APIs as designed, without needing to hide anything. A bot browser often reveals mismatches because it patches or spoofs APIs. BotRefund's Voice Brand Check compares these behaviors to spot the difference. It's one of the 106 checks...

Direct Answer: The Permission Lie check looks for a mismatch in browser APIs that a real browsing session does not normally create. Automated browsers often patch or hide APIs, but those changes can break when inspected from another angle. BotRefund uses it as one...

Direct Answer: It is one of 106 independent checks BotRefund uses to spot automated browsers. It looks for a mismatch that a normal browser session does not create, often caused by automation tools patching or hiding APIs. BotRefund treats this as evidence and cross-checks...

Direct Answer: It looks for a mismatch that a real browsing session does not normally create. Automated browsers often reveal themselves when a popup blocker check is bypassed. BotRefund uses this as one of 106 independent checks. It does not rely on this signal...

Direct Answer: The prediction AI receives all independent signals and evaluates the complete pattern. Instead of trusting a raw rule, the model weighs how the browser, network, device, and behavior evidence fit together. BotRefund uses this approach to decide whether a visit is a...

Direct Answer: AI models weigh the complete pattern of all detection signals instead of following rigid raw rules, which reduces false positives from normal user variation. BotRefund's AI evaluates how its 106 independent checks align across browser, network, device, and behavior data to make...

Direct Answer: AI prediction allows the system to evaluate the full constellation of signals rather than relying on a single rule. BotRefund model takes all 106 independent checks and determines the likelihood that a visit is automated. This approach adapts to new evasion techniques...

Direct Answer: BotRefund's AI prediction model weighs the complete pattern of signals, including rapid tab blurs, mouse movements, scrolling, and browser fingerprints. Instead of relying on a single rule, the AI evaluates how all the evidence fits together. This allows it to identify sophisticated...

Direct Answer: AI prediction weighs the complete pattern of evidence instead of trusting a raw rule. A mismatch like History Evasion becomes one input into a model that evaluates browser, network, device, and behavior data together. This is how BotRefund reaches high accuracy without...