Seatext library / BotRefund evidence

How to Integrate BotRefund's Detection Signals with Your Website

To integrate BotRefund, add a JavaScript snippet to your site, configure your dashboard settings, and run a free bot audit to verify. BotRefund uses 106 independent checks and AI to cross-validate signals, achieving 99%...

Built for advertisers who need clear, refund-ready traffic evidence.

BotRefund's detection signals protect your website from automated traffic that wastes ad budget and pollutes analytics. Integration is quick: you add a small JavaScript snippet to your site or use a supported plugin, then configure settings in the BotRefund dashboard. Setup takes about one minute and requires no credit card. Once live, BotRefund begins collecting browser, network, device, and behavior signals to identify bots.

This guide explains what those signals are, how they work together, and exactly how to integrate them. You'll also learn how to verify the setup, adjust settings, and avoid common mistakes.

What are BotRefund detection signals?

Each detection signal is a single objective fact about a website visit. BotRefund runs 106 independent checks. They look for mismatches that a real browsing session doesn't normally create.

Here are a few examples from the source pack:

  • CPU Concurrency Lie: Checks for a mismatch between a browser's claimed hardware and what the system actually reports. Virtual machines and spoofed profiles often claim one device while their graphics, fonts, audio, or processor behavior tells another story.
  • window.open Tamper: Looks for script-driven behavior that a real person wouldn't produce. Scripts can send clicks and scrolls, but they struggle to reproduce the varied timing, movement, and hesitation of real people.
  • Impossible Tab Speed: Flags interaction speeds faster than a human could achieve.
  • Ghost click detection: Catches click activity that happens without the natural sequence of human intent.
  • Honeypot trap interactions: Watches for bots that respond to hidden or intentionally deceptive page elements.
  • Robotic linear mouse movements: Flags unnaturally straight pointer paths that rarely appear in real user sessions.
  • Absence of humanlike mouse tremor: Looks for the tiny imperfections and jitter typical of human movement.
  • Superhuman input speed (<1ms): Identifies interactions that happen faster than a person could realistically perform.
  • Grid-aligned movement patterns: Detects movement that snaps to precise lines or blocks instead of natural curves.
  • Absence of clicks or scrolling: Highlights sessions that stay too static to match a real browsing journey.
  • Unnatural session durations: Catches visit lengths that are too short, too long, or too uniform to be human.

These signals cover hardware, browser, network, and behavior. They are independent evidence, not verdicts.

How BotRefund combines the signals

BotRefund does not trust a single raw rule. A single anomaly—like a user on a corporate network or using privacy tools—does not automatically mean a bot. That would cause false positives.

Instead, BotRefund cross-checks each signal against independent browser, network, device, and behavior data. It sends every signal into its prediction AI. The model evaluates the complete picture. By seeing how all signals fit together, it identifies a visit as bot or human with the company's claimed 99% accuracy.

This corroboration approach is why a single odd behavior doesn't trigger a block. The system weighs the full pattern. It becomes more reliable as it gathers more signals from a session.

Prerequisites before you integrate (readiness checklist)

Before you start, make sure you have the following ready:

  • Access to your website's code, or a plugin installer if you use a CMS like WordPress.
  • Administrator or editor permissions to modify your site's header or footer scripts.
  • A BotRefund account. You can create one in minutes, no credit card required.
  • Your website's URL handy for the setup process.
  • An idea of what you want to do with bot signals—whether to block them outright, log them for analysis, or export reports for refund claims.
  • If you plan to use BotRefund's refund features, know your Google Ads or Meta ad spend range and have access to associated accounts.

It's also helpful to understand your current traffic baseline. This makes it easier to spot changes after integration.

Step-by-step integration guide

Follow these steps to add BotRefund to your website:

  1. Create a BotRefund account. Go to botrefund.com and sign up. No credit card is required.
  2. Get your integration snippet. After logging in, you'll find a JavaScript snippet in your dashboard. This snippet enables BotRefund's detection on your site.
  3. Add the snippet to your website. Paste the snippet into the <head> of your site if you're editing HTML directly. Or use a tag manager like Google Tag Manager to inject it. For popular CMS platforms, BotRefund may offer a plugin—check the dashboard for a plugin installer.
  4. Configure your detection settings. In the dashboard, choose how you want to handle detected bots. You can set it to “monitor only” for logging, or “block” to stop bots from interacting with your site. You can also adjust sensitivity based on your risk tolerance.
  5. Save and deploy. Apply the changes to your live site. The script will start collecting data immediately.
  6. Run a free bot audit. Use BotRefund's free audit to see if the script is working. The audit will show you bot activity and give you a report you can export.

If you use a tag manager, test that the snippet fires on all pages. Check your browser's developer console for any errors.

Configuring your detection settings

After the snippet is active, you'll want to fine-tune how BotRefund responds. The dashboard gives you several options.

Monitor-only mode: This logs bot visits but does not block them. Use this during a learning period to see how many bots hit your site and what patterns they show. It's safer for sites that worry about false positives.

Block mode: This stops detected bots from interacting with your site. You can choose to return a 403 status, redirect to a challenge page, or simply drop the session. Blocking reduces wasted server resources and prevents form spam.

Conversion suppression: If you run ads on Google or Meta, BotRefund can suppress conversion events for automated signals. This trains ad platforms more accurately. The case study of FinTrust shows that suppressing conversion events for automated browser emulation signals helped Facebook and Google AI train only on verified bank accounts.

Sensitivity level: You can adjust how many corroborating signals trigger a bot verdict. Higher sensitivity catches more bots but may increase false positives. Lower sensitivity reduces false positives but may miss some sophisticated bots.

Your choice depends on your risk tolerance. E-commerce sites with high ad spend may prefer stricter blocking. Brochure sites with low traffic may just want monitoring.

Verifying your integration and using the data

After deployment, wait a few hours to accumulate data. Then run a report from your dashboard. You can see which visits were flagged as bots and why.

BotRefund provides a free bot audit. This audit shows you bot activity and gives you a report you can export. You can check that the snippet is collecting signals correctly.

If you're using BotRefund for refunds, you can export a report and send it to Google or Meta. The source pack mentions that BotRefund proves bot clicks and negotiates with Google and Meta to get your money back. Your dashboard can generate audit-ready reports for disputes.

You can also set up alerts so you get notified when bot levels spike. This helps you react quickly to new attack patterns.

Common mistakes and limitations

One common mistake is expecting every single anomaly to be a bot. BotRefund's design explicitly avoids this—it cross-checks signals. Don't manually block a visitor just because one check fired. Rely on the AI's overall prediction.

Another mistake is forgetting to update the snippet after major site changes. If you replace your theme or CMS, reinstall the snippet to ensure detection continues.

Limitations to keep in mind: BotRefund's detection is most effective when you allow it to collect a full session's behavior. Very short visits may not have enough data for a confident verdict. Privacy tools and unusual devices can cause false positives, which is why the system requires corroboration.

Also, no bot detection is 100% perfect. BotRefund claims 99% accuracy, but that means 1% of visits may be misclassified. Monitor your logs to spot any issues.

Frequently asked questions

How long does integration take?

BotRefund states you can add it to your website in about one minute. That includes copying the snippet and pasting it into your site. Configuration may take a few extra minutes if you adjust settings.

Do I need coding skills?

If you can copy and paste a script, you're fine. For CMS users, a plugin installer may work without touching code.

Will BotRefund block real users?

BotRefund avoids false positives by cross-checking multiple signals and using AI prediction. A single anomaly isn't enough to block someone. The system is designed to weigh the whole picture.

Can I use BotRefund for refund claims?

Yes. BotRefund proves bot clicks and negotiates refunds with Google and Meta. Your dashboard can generate audit-ready reports for disputes.

Does BotRefund work with any website platform?

As long as you can add a JavaScript snippet, it works on any site. For platforms with plugin support, setup is even easier.

What should I do if I see a sudden spike in bot activity?

Run a report to see which signals are firing. Check if a particular campaign or traffic source is responsible. Adjust your sensitivity settings or block mode if needed. Consider setting up alerts to catch spikes early.

Can BotRefund integrate with Google Tag Manager?

Yes. You can add the snippet via a custom HTML tag in GTM. Make sure it fires on all pages, preferably in the head or as early as possible.

Summary

Integrating BotRefund's detection signals is a quick, low-effort project. Add the snippet, configure your settings, and verify with a free audit. The system's 106 independent checks and AI cross-validation give you a reliable way to identify bots and protect your ad budget.

Start with monitor-only mode to understand your traffic. Then adjust settings based on your risk tolerance. Use the data to improve your ad targeting, suppress invalid conversions, and even recover wasted spend.

Further reading and comparison sources

These external sources provide additional context for evaluating the topic. Their inclusion is not an endorsement.

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