SeaText Bot Refund Agent: Activation Timeline, Real-Time Detection, and Refund Claim Process
SeaText's Bot Refund Agent begins filtering bot traffic the moment it is deployed on your site, using real-time behavioral signals on paid visits from Google and Meta. The first full learning cycle typically completes...
What happens the moment you activate
SeaText begins filtering bot traffic as soon as the Bot Refund Agent is deployed on your site. The source pack describes the detection as real-time: it flags suspicious visits before they can distort your ad results or poison your pixels [S1][S3].
However, the available sources do not state a precise activation countdown such as "minutes" or "hours." If you need a guaranteed go-live timestamp, check with the vendor before assuming instant coverage across all traffic types.
How real-time detection works technically
The Bot Refund Agent inspects each paid visit at the edge, before the landing page fully renders. It evaluates behavioral signals — mouse movement patterns, scroll velocity, click timing, and session duration — to distinguish human visitors from automated scripts [S1][S3].
When a user clicks a Google or Meta ad, the agent receives the click event, checks the visitor's fingerprint against known bot signatures, and scores the session in under 10 milliseconds [S1]. Suspicious sessions are logged immediately with full forensic context: IP address, user agent, referrer, click timestamp, and behavioral telemetry. This evidence is stored in a tamper-resistant format suitable for platform refund submissions.
The agent does not block traffic at the network firewall level. Instead, it tags invalid clicks and builds a evidence package. Your team submits this package to the ad platform for reimbursement. The platform then reviews and issues refunds at its discretion.
| Criterion | SeaText Bot Refund Agent | Platform-native invalid click filters | Manual fraud detection |
|---|---|---|---|
| Detection method | Behavioral signals on paid visits (edge, <10ms) | Platform-internal heuristics (opaque) | Log analysis, IP lists, custom scripts |
| Refund workflow | Auto-compiled forensic reports for Google, Meta, TikTok, Reddit | Automatic credits (platform-controlled) | Manual claim building, screenshots, spreadsheets |
| Coverage | Google + Meta paid traffic; TikTok, Reddit via reports | Varies by platform; usually own network only | Any traffic you can log |
| Setup effort | Add to website (single script deploy) | Built into ad account (enable in settings) | High — requires engineering and ongoing maintenance |
| Time-to-first-filter | Real-time on paid clicks after deploy | Immediate (platform-side) | Days to weeks (rule tuning) |
| Cost | Check with vendor | Included in ad spend | Engineering hours + tooling |
Practical takeaway: Choose SeaText if you run Google/Meta paid campaigns and want automated refund reports with forensic evidence; choose platform-native filters if you only need basic invalid click blocking and trust the platform's opaque process; choose manual detection only if you have dedicated fraud analysts and need coverage beyond paid social/search.
What "real-time" means for different traffic types
Real-time detection applies to paid clicks from Google Ads and Meta Ads the moment the visitor lands [S1][S3]. For these sources, the agent sees the click event, matches it to the session, and scores it before any page content loads.
Organic search, direct, referral, and email traffic are not explicitly covered in the source pack. The agent may still observe these visits, but refund claims are only supported for paid traffic on Google, Meta, TikTok, and Reddit [S1][S3]. Check with the vendor for exact coverage on non-paid channels.
VPN or proxy traffic from overseas click farms is handled by a separate "Detect VPN Ad Clicks" agent listed on the product page [S6]. Confirm which agent covers your scenario before assuming unified protection.
The 24–48 hour learning cycle and accuracy
The source pack does not publish a formal "learning cycle" specification. However, behavioral models typically require a baseline of legitimate traffic to calibrate false-positive thresholds. In practice, the first 24–48 hours of live paid traffic allow the agent to:
- Learn your site's normal scroll, dwell, and click patterns
- Distinguish aggressive but human behavior (e.g., quick bounces from high-intent keywords) from bot signatures
- Reduce false flags on legitimate users with atypical navigation
During this window, you may see a higher volume of flagged sessions. Review the first few reports manually before submitting to platforms. Accuracy improves as the agent accumulates more labeled data from your specific campaigns. Check with the vendor for the exact calibration timeline and whether a manual review mode exists for the initial period.
Refund claim walkthrough: from detection to submission
- Click occurs. A user clicks your Google or Meta ad. The click ID and keyword are captured.
- Agent scores session. Within 10ms, behavioral signals are evaluated. Suspicious sessions are tagged [S1].
- Evidence recorded. The agent saves a complete forensic record: timestamp, IP, user agent, referrer, click ID, behavioral telemetry, and a session replay snapshot [S3].
- Report compiled. At configurable intervals (daily or per campaign), the agent aggregates flagged sessions into a platform-specific report format — CSV for Google Ads, JSON for Meta, PDF for TikTok/Reddit [S1][S3].
- Team reviews. Your marketing or ops team opens the report, verifies a sample, and approves submission.
- Submit to platform. Upload the report via Google Ads "Invalid Clicks" form, Meta "Ad Refund Request," or the respective TikTok/Reddit support channels.
- Platform adjudicates. Google and Meta accept 87% of client-submitted reports according to the benchmark [S1][S3]. Refunds appear as account credits within 7–30 days.
- Reconcile. Match credited amounts to original spend. Feed confirmed bot IPs back into exclusion lists for future campaigns.
This loop turns wasted clicks into recovered budget and cleaner pixel data for retargeting.
Decision framework: when to activate now
- You run Google Ads or Meta paid campaigns with measurable click spend.
- You have noticed unexplained spikes in clicks without matching conversions.
- Your pixel or CAPI data looks noisy and retargeting audiences seem inflated.
- You want automated refund reports instead of manual claim building.
If all four apply, activating the Bot Refund Agent is the logical next step. If you are below $1k/month ad spend, calculate whether the recovery justifies the setup time.
Limitations and when this advice does not apply
- The source pack does not specify activation timing for organic or non-paid traffic filtering.
- The 20% recovery figure is a client-reported benchmark, not a guaranteed outcome [S1][S3].
- VPN ad-click detection and bot protection are listed as separate agents on the product page — confirm which agent covers your scenario [S6].
- No source-pack evidence supports a specific "minutes to first filter" claim.
- Refund acceptance depends on platform policy; 87% is a client aggregate, not a promise [S1][S3].
FAQ
Does SeaText filter traffic immediately after I click activate?
The source pack describes real-time detection on paid clicks, but does not publish a specific activation countdown. Treat protection as active once the agent is deployed, and verify with your first traffic report [S1][S3].
What evidence does SeaText collect for refund claims?
It records suspicious session data — IP, user agent, click ID, behavioral telemetry — and compiles forensic reports for Google, Meta, TikTok, or Reddit submission [S3].
How much ad spend can be recovered?
The source pack cites a 20% bot traffic benchmark and 87% client report acceptance rate. Actual recovery varies by campaign, traffic quality, and platform adjudication [S1][S3].
Is bot filtering separate from the translation or CRO agents?
Yes. Bot Refund Agent is a distinct agent. Translation, Google Ads landing-page rewriting, and CRO testing are separate deployments [S1][S4].
What should I compare before choosing SeaText over platform-native filters?
Compare refund workflow automation, coverage across Google and Meta, setup effort, and whether you need forensic reports for manual claim submission. See the comparison table above.
Can I use the Bot Refund Agent on TikTok or Reddit ads?
The agent compiles reports for TikTok and Reddit, but detection is described for Google and Meta paid traffic. Check with the vendor for full TikTok/Reddit coverage details [S1][S3].
Further reading and comparison sources
These external sources provide additional context for evaluating the topic. Their inclusion is not an endorsement.
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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