Direct Answer: BotRefund analyzes each visit with over one hundred independent checks, including permission mismatches and browser behavior. The system cross‑checks signals from the browser, network, device and user actions before labeling traffic. An AI model then weighs the full pattern to reach a...

Direct Answer: Look for referrer logs showing your checkout page as the referrer instead of the publisher's domain, sub-second click-to-conversion times, and form completions with zero scroll or typing events. BotRefund captures this behavioral telemetry automatically and produces forensic reports you can submit to...

Direct Answer: You need forensic evidence like GCLID and FBCLID logs that document invalid sessions. The page says BotRefund generates these compliance-ready dispute logs. You can then submit them to the ad platforms to claim refunds for wasted spend.

Direct Answer: Bots that trigger Pixel conversions teach the algorithm to find more bot-like profiles. Those profiles contaminate lookalike audiences and future campaigns. BotRefund suppresses pixel events on bot sessions before they reach Meta. That keeps your lookalike audiences built on genuine human conversions.

Direct Answer: By using client-side pixel suppression. When BotRefund detects an automated session, it dynamically suppresses the Google Tag so no conversion signal reaches Smart Bidding. This forces the algorithm to optimize only for validated human traffic.

Direct Answer: Bot clicks and scrolls often look too regular or miss the natural hesitation of human interaction. A check like the Mobile Menu Probe looks for mismatches that real browsing sessions do not normally create. BotRefund uses this as one of 106 independent...

Direct Answer: BotRefund checks for rapid tab blurs as one of 106 independent signals. A real browser shows varied timing and natural pauses, while automated scripts struggle to reproduce that. If the tool detects a mismatch, it doesn't jump to a conclusion—it cross-checks with...

Direct Answer: Automated browsers often expose incomplete or inconsistent navigation timing data because they patch or stub browser APIs. BotRefund's Navigation Timing Stub check looks for mismatches that a real browsing session would not normally create. If the timing data is missing or simplified,...

Direct Answer: You cannot rely on one simple tell, because legitimate users can look unusual due to privacy tools or corporate networks. BotRefund uses a lightweight script that checks browser, network, device, and behavior evidence and cross-validates each signal. The goal is to spot...

Direct Answer: You can look for mismatches between the device details the browser claims and the hardware, fonts, audio, or processor behavior it reveals. BotRefund's Font OS Mismatch check is designed to catch those inconsistencies. It adds this signal to a larger set of...

Direct Answer: BotRefund's Constant Scroll Speed check looks for the mismatch between human-like varied scrolling and automated constant-speed scrolling. The script runs client-side to capture timing, movement, and hesitation patterns that scripts struggle to replicate. Because it's one of 106 signals, a single anomaly...

Direct Answer: A near-100% bounce rate paired with session durations under one second is a classic indicator of automated scripts hitting your landing pages. Other signs include clicks spiking while sales stay flat, traffic from unexpected geographic regions, and form submissions filled with gibberish...

Direct Answer: BotRefund's forensic audit examines visitor behavior including mouse acceleration curvature touch pressure dynamics and headless browser stealth attributes to distinguish human users from automated crawlers. The script logs sessions with GCLID and FBCLID parameters so you can see exactly which conversions originated...

Direct Answer: Price scrapers often exhibit specific behaviors like constant scroll speed, headless browser attributes, and missing mouse movement curves. BotRefund's detection engine checks for these signals. If you see a high number of visits with no mouse movement or with perfectly straight mouse...

Direct Answer: Watch for campaigns where the pixel fires frequently but actual purchases or qualified leads stay flat, especially after a sudden traffic spike. If your cost per acquisition keeps rising while your reported conversions look healthy, the pixel is likely learning from bot...

Direct Answer: BotRefund treats mismatches as evidence, not a verdict, and cross‑checks them with other signals before labeling traffic. It looks at hardware, network and behavior data together to decide if a visit is likely a bot. This approach helps distinguish genuine privacy‑tool anomalies...

Direct Answer: BotRefund's free audit compares reported ad platform conversions against actual CRM opportunities or merchant backend orders to identify discrepancies caused by bot traffic. The script logs behavioral signals like sub-second form completions and unnatural conversion clusters that indicate automated activity. High bounce...

Direct Answer: Automated browsers often patch or hide browser APIs to avoid being detected. They may change permissions or properties, but those changes can break when the browser is checked from another angle. BotRefund's anti-stealth traps, including the Permission Lie check, are designed to...

Direct Answer: Automated browsers often use native patching to mask their automation by altering browser APIs or properties. BotRefund looks for these mismatches as part of its 106 independent checks. A single patching anomaly is not enough to call something a bot because privacy...

Direct Answer: BotRefund avoids false positives by keeping each anomaly as evidence instead of an instant verdict. Privacy tools, travel, corporate networks, and unusual devices can make real people look suspicious. The system cross-checks the signal against independent browser, network, device, and behavior data...