What to Do If BotRefund Isn't Working: A Step-by-Step Diagnosis Guide

If BotRefund seems to miss bots or flag real visitors, start with your dashboard. Look for red status indicators or stale data timestamps. Next, run the built-in Console Debug Evaluator to test live signals from suspicious sessions. This tool runs one of 106 independent checks. It shows what a normal browser reveals versus what an automated browser often shows. If the evaluator returns clean results but you still see bad traffic, collect session IDs, timestamps, and GCLID or FBCLID values. Send these to support with CRM correlation notes. The team can trace the full signal chain across all 106 checks to resolve the issue.

How BotRefund Detects Bots: Signal Architecture and Accuracy

BotRefund does not rely on a single rule or fingerprint. It runs 106 independent checks. Each check produces one piece of objective evidence about a visit. These checks cover browser API consistency, pointer behavior, click timing, scroll patterns, session duration, and trap interactions like honeypot fields. The Console Debug Evaluator is one of these checks. It looks for mismatches that automation tools create when they patch or hide browser APIs.

A single anomaly never triggers a bot verdict. Privacy tools, corporate networks, and unusual devices can produce unexpected behavior for real people. BotRefund keeps this signal as evidence, not a verdict. It cross-checks every signal against independent browser, network, device, and behavior data. The complete pattern feeds into an AI prediction model. This model weighs all evidence together. This corroboration approach is why BotRefund reaches 99% accuracy in identifying bots versus humans.

Common Symptoms of a BotRefund Malfunction

These symptoms map to different system layers: data ingestion, signal evaluation, suppression rules, or refund filing. Treat each as a separate diagnostic path.

• Dashboard shows no data or stale timestamps for recent ad clicks.
• Refund reports show zero recovered spend despite known bot traffic.
• Legitimate customers complain about being blocked or challenged.
• Conversion pixels fire but CRM leads show no engagement: no scroll, no field corrections, instant submits.
• Ad platform reports steady cost per lead while sales sees unreachable contacts.

Common Mistakes That Make BotRefund Issues Worse

These errors can delay resolution or create false confidence in your system's performance.

• Assuming a single failed check means BotRefund is broken. One anomaly is evidence, not a verdict. The system requires corroboration across multiple signals to classify a session.
• Skipping dashboard health checks to run advanced diagnostics. If the script is blocked by a CSP policy, no signals reach the engine at all. Always verify the "Fast Setup" indicator first.
• Relying only on the Console Debug Evaluator for diagnosis. This tool tests one of 106 checks. It cannot replace the full cross-check view that shows patterns across all signal layers.
• Filing refund claims without enabling video proof or click ID logging. Ad platforms often request additional evidence for new or high-value claims. Missing this data will stall your refund requests.
• Whitelisting IP ranges without checking cross-checked context. Residential proxy bots can mimic corporate IP addresses. Whitelisting without confirming human device and behavior signals will let real bots through.
• Ignoring CRM correlation when evaluating false positives. A blocked user with no engagement history may be a bot, not a legitimate customer. Always match session IDs to CRM records before adjusting settings.

Step-by-Step Diagnosis and Fixes

1. Check dashboard health first. Log in and verify the BotRefund script is loading on your landing pages. Look for the "Fast Setup" indicator. A typical install takes about one minute and requires no credit card. If the script tag is missing or blocked by a CSP policy, no signals reach the engine. Open your browser console to check for CSP errors. Whitelist the BotRefund domain in your CSP's script-src and connect-src directives if needed. Re-embed the script via your tag manager if the initial install failed.
2. Run the Console Debug Evaluator. Open the evaluator page, paste a suspicious session URL or visitor ID, and execute the test. The tool shows side-by-side comparisons: what a normal browser usually shows versus what an automated browser often reveals. Note any mismatches in console APIs, permissions, or rendering contexts. Remember this is just one piece of evidence, not a final verdict.
3. Review the full 106-check cross-check view. In the dashboard, open the session detail view. Each of the 106 checks appears as a row with a pass/fail/unknown status. Look for clusters of failures in pointer behavior (robotic linear movements, absence of humanlike tremor), speed behavior (superhuman input speed under 1ms), or engagement behavior (absence of clicks or scrolling). Single failures are common for real users; clusters indicate automated activity.
4. Verify suppression and refund workflows. Confirm that conversion events for flagged sessions are being suppressed in Google Ads and Meta via the Offline Conversions API. Check the refund claim log: BotRefund negotiates with Google and Meta on your behalf and can recover spend dating back to 2017. If claims are stuck in "pending," the platform may need additional evidence like video proof of the bot click.
5. Correlate with CRM outcomes. Export the lead list for the same period as the suspicious traffic. Match BotRefund session IDs to CRM records. Look for the patterns described in Meta's invalid traffic guide: disconnected numbers, invalid email domains, burst arrivals, uniform click paths, and high reported lead count with zero qualified opportunities.
6. Escalate with full evidence to support. If steps 1–5 don't reveal the root cause, open a support ticket. Include: session IDs, timestamps, GCLID/FBCLID values, Console Debug Evaluator screenshots, and CRM correlation notes. The support team can replay the full 106-check pipeline for those sessions to identify the issue.

Likely Causes and Targeted Corrections

Most BotRefund issues fall into one of six common categories. Use the table below to match your symptoms to the correct fix.

Cause	Evidence to Check	Corrective Action
Script not loading or blocked	Dashboard shows zero recent sessions; browser console shows CSP errors	Whitelist BotRefund domain in CSP; re-embed script via tag manager; verify "Fast Setup" completes
Single-signal false positive	Console Debug Evaluator flags one check but cross-checks pass	No action needed — system treats single anomalies as evidence, not verdicts
Privacy tools or corporate networks triggering anomalies	Legitimate users from VPNs, Tor, or enterprise proxies flagged	Review cross-checked context: if network/device/behavior signals align as human, AI will classify correctly
Suppression not connected to ad platforms	Flagged sessions still appear in Google Ads/Meta conversion reports	Re-authenticate Offline Conversions API; verify conversion action IDs match
Refund claim missing evidence	Claims stuck in pending; ad platform requests more proof	Enable video proof capture; ensure click IDs (GCLID/FBCLID) are logged automatically
New bot evasion technique not yet modeled	Sophisticated bots pass all 106 checks but CRM shows zero engagement	Report sessions to support; BotRefund updates AI model continuously from corroborated patterns

Real-World Troubleshooting Scenarios

Scenario 1: E-commerce site sees high cart abandonment but low refund recovery

First, confirm the Offline Conversions API is authenticated for both Google Ads and Meta. Run the Console Debug Evaluator on 5-10 abandoned-cart sessions. If the evaluator shows clean browser signals but the 106-check view shows engagement behavior flags (no scroll, no field corrections), the bots are passing browser checks but failing behavioral ones. Re-enable suppression and file refund claims for the past 90 days.

Scenario 2: Legitimate enterprise customers report blocked access

First, pull session details for the affected IP range. Look for network-layer anomalies: residential proxy tactics can mimic corporate IP addresses. If cross-checked device and behavior signals are human, the AI will classify the session correctly. If not, whitelist the IP range in BotRefund settings and report the false positive to support so the model learns.

Scenario 3: New campaign launches, bot traffic spikes, but refund claims stall

First, check the refund claim log for "pending" status. Ad platforms often request extra evidence for new campaigns. Enable video proof capture if it is disabled: BotRefund captures video for each bot click. Verify GCLID/FBCLID logging is active (it is automatic with standard homepage installs). Resubmit claims with the enhanced evidence package.

Key BotRefund Facts and Capabilities

These core facts from BotRefund's official documentation will help you contextualize your diagnosis and set realistic expectations for resolution.

Fact	Detail	Source
Number of independent detection checks	106	S1
Overall classification accuracy	99%	S1
Typical setup time	About one minute, no credit card required	S2
Refund lookback window	Google Ads spend dating back to 2017	S2
Bot click budget impact	Up to 20% of Google and Meta ad budget	S2
Console Debug Evaluator purpose	Tests one of 106 checks; shows browser API mismatches automation tools create	S1
Signal handling philosophy	Single anomaly = evidence, not verdict; cross-checked across browser, network, device, behavior	S1
FinTrust case study recovery	$140,000 refunded, 14% average bot click rate, 18% conversion rate increase	S5
Pricing tiers (monthly ad spend)	Under $10K, $10K–$50K, $50K–$250K, $250K–$1M, $1M–$5M, Over $5M	S2
Meta invalid traffic investigation signals	Contactability, timing, session behavior, campaign patterns, CRM outcomes	S3

Limitations of This Diagnosis Guide

This guide assumes you have admin access to the BotRefund dashboard and the ability to edit your site's scripts. If you are on an agency-managed account without dashboard permissions, contact the account owner first. The Console Debug Evaluator requires a live session URL or visitor ID. It cannot retroactively analyze sessions that were not recorded. Refund recovery only applies to Google Ads and Meta platforms. Other ad networks are not supported.

The 99% accuracy figure reflects the AI model's performance across the full signal corpus. Individual checks like the Console Debug Evaluator are designed as evidence contributors, not standalone classifiers. Privacy tools, unusual devices, and corporate networks can produce anomalies that look like automation. The system accounts for this by requiring corroboration, but edge cases exist where a real user's environment mimics bot signals across multiple layers.

Frequently Asked Questions

How often does BotRefund update its detection model?

The AI prediction model updates continuously as new corroborated patterns arrive from the 106-check pipeline across all client sites. When you report a session that slipped through, that data feeds the next model iteration.

Can I run the Console Debug Evaluator on historical sessions?

No. The evaluator tests live browser signals. For past sessions, use the session detail view in the dashboard. It shows the recorded outcome of all 106 checks at the time of the visit.

What if my site uses a strict Content Security Policy?

Add the BotRefund script domain to your CSP's script-src and connect-src directives. The "Fast Setup" flow will verify the script loads and communicates. If CSP blocks it, no signals reach the engine and the dashboard stays empty.

Does BotRefund work on mobile app traffic?

The source pack describes browser-based detection: pointer, motion, speed, path, engagement, and session behaviors. Mobile web views may be covered. Native app traffic is not mentioned in the provided sources.

How long does a refund claim take to process?

Timelines are not specified in the source pack. BotRefund negotiates with Google and Meta on your behalf. Check the refund claim log in your dashboard for status updates, as processing times depend on the ad platform's dispute process.

What is the difference between BotRefund and SEATEXT AI?

SEATEXT AI appears in the affiliate lead fraud article as a tool to block lead-generation bots and filter out headless browsers for CPL programs. BotRefund focuses on ad-click fraud detection, refund recovery, and pixel protection for Google Ads and Meta ad spend. They address adjacent but different problems.

Can I test BotRefund before committing to a paid tier?

Yes. The homepage offers a free bot audit. You can add BotRefund to your website in about one minute with no credit card required. The audit runs live detection on your traffic so you can see 106-check results before choosing a plan.

Further reading and comparison sources

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

• r/ConsumerAdvice on Reddit: I got scammed by ChatbotApp.ai / Chatbot ...
• Need a refund due to a bot error? - Scrap.TF Forums
• Refund rejected by bot - now what?! :: Steam Community

Learn more

Visit the website for more information.