Seatext library

SeaText vs. Google's Built-in Invalid Traffic Filters: What Each Catches and What Slips Through

Google's native filters catch basic invalid traffic at the network level using IP reputation and pre-bid screening, but they do not expose the evidence advertisers need for refunds. SeaText adds layer-7 behavioral analysis, real-time...

Google's built-in invalid traffic filters operate at the network and auction layer. They use IP reputation, pre-bid screening, and post-serve credits to remove traffic Google deems invalid before you pay or after the fact. What they don't do is give you a downloadable, court-ready evidence packet for every suspicious session, nor do they block bots before they hit your landing page and poison your conversion pixels.

SeaText's Bot Refund Agent works at the application layer (layer 7). It inspects each paid visit in real time — mouse movement, scroll depth, timing, device fingerprint — and blocks suspicious clicks in roughly 10 ms at the edge. For every flagged session it builds a forensic report (IP, headers, behavioral signals, timestamp) that you can submit to Google, Meta, TikTok, or Reddit for a refund. SeaText says 87% of clients who submit those reports have them accepted, and the benchmark for bot traffic in paid campaigns is around 20% of spend.

Criterion Google Built-in Filters SeaText Bot Refund Agent
Detection layer Network / auction layer (IP reputation, pre-bid and post-serve filtration) Application layer (layer-7 behavioral signals: mouse, scroll, timing, fingerprint)
Real-time blocking Pre-bid only; no edge blocking after click Blocks suspicious clicks at the edge in ~10 ms before pixel fires
Evidence for refunds Aggregate invalid-traffic reporting; no per-session forensic packet Per-session forensic reports (PDF/JSON) accepted by Google, Meta, TikTok, Reddit
Refund acceptance rate (client-reported) Automatic credits only; no appeal process exposed 87% of submitted client reports accepted per SeaText data
Pixel poisoning protection None — bots still hit landing page and fire conversion pixels Stops bots before they reach the page, preserving pixel integrity
Setup effort Automatic, no action required Add SeaText snippet (under 1 minute) and activate Bot Refund Agent
Cost model Included in platform fees Usage-based; pilot trial available

What the table means for your buying decision

Choose Google's built-in filters if you only want automatic, no-maintenance credit for traffic Google already catches, and you don't need to prove anything to anyone.

Choose SeaText if you run significant paid spend on Google, Meta, TikTok, or Reddit; you see conversion data that looks polluted by bots; you want to recover money the platform didn't automatically credit; or you need to keep your pixel data clean for Smart Bidding and Advantage+.

Conditional recommendation: Most advertisers benefit from both. Google's filters are a baseline. SeaText adds the layer-7 visibility, real-time blocking, and refund paperwork that the platform does not provide. If your monthly paid spend is under a few thousand dollars, the ROI on a dedicated bot-refund workflow may be marginal. Above that, the 20% benchmark and 87% acceptance rate suggest the math works.

How Google's invalid traffic filters actually work

Google's Ad Traffic Quality team runs over a hundred algorithms that score traffic in real time. Filtration happens in two windows:

  • Pre-bid: Suspicious bid requests are dropped before an auction. You never pay because you never bid.
  • Post-serve: After a click or impression, if the system reclassifies the event as invalid, Google issues a credit to your account.

Google also partners with HUMAN (formerly White Ops) as an extra safety check. The result is an aggregate "Invalid traffic" line in your reports — useful for accounting, not for forensic appeals.

What SeaText adds on top

Layer-7 behavioral analysis

SeaText runs in the browser and at the edge. It measures mouse velocity, scroll patterns, dwell time, re-reading behavior, and device fingerprint. A visitor who bounces after three seconds looks different from one who reads for ninety seconds, scrolls to pricing, hesitates on the CTA, and leaves. Standard analytics treats them the same; SeaText does not.

Real-time edge blocking (~10 ms)

When a paid click arrives, SeaText evaluates the session before your page fully renders. If the behavioral score crosses the bot threshold, the request is blocked at the edge. The conversion pixel never fires. This prevents "pixel poisoning" — where bot traffic trains Smart Bidding or Advantage+ on fake conversions.

Forensic evidence packets

Every flagged session generates a report: IP, headers, behavioral timeline, fingerprint hash, timestamp, and the ad click ID (gclid, fbclid, etc.). The report is formatted for Google's and Meta's refund submission flows. SeaText says 87% of clients who submit get the refund approved.

Benchmark: 20% bot traffic in paid campaigns

Across SeaText's client base, roughly 20% of paid clicks show bot signatures. That aligns with third-party estimates that 15–25% of programmatic and paid social traffic is non-human. If you spend $50,000/month, 20% is $10,000 at risk. Recovering even half changes ROAS materially.

Key facts (from SeaText source pack)

Fact Detail Source
Bot traffic benchmark ~20% of paid clicks S1, S3, S5
Client refund report acceptance rate 87% S1, S3
Platforms supported for refund claims Google, Meta, TikTok, Reddit S1, S3
Edge blocking latency ~10 ms S1, S2
Deployment time Under 1 minute (snippet install) S1, S2
Trusted by 2,500+ brands, ecommerce teams, growth agencies S1, S2

Limitations and when this advice doesn't apply

  • Google's automatic credits cover some invalid traffic you'll never see. SeaText only helps with traffic that reaches your site and triggers its behavioral checks.
  • Refund approval is at the platform's discretion. The 87% figure is SeaText's client-reported aggregate, not a guarantee.
  • SeaText requires adding a JavaScript snippet. Sites with strict CSP or no tag-manager access may need engineering time.
  • Low-spend accounts (under ~$3,000/month) may not recover enough to justify the workflow.
  • This comparison covers click fraud on paid campaigns. It does not address organic bot traffic, scraping, or DDoS.

Terminology

  • Layer 7 (application layer): The OSI layer where HTTP, browser behavior, and DOM interactions live. Detection here sees what the user actually does, not just where the packet came from.
  • Pixel poisoning: When bot conversions fire your Meta/Google pixel, the ad algorithm learns to optimize for bot-like behavior, wasting future spend.
  • gclid / fbclid: Click IDs Google and Meta append to ad URLs. SeaText captures them to tie a forensic report to the exact paid click.
  • Pre-bid / post-serve filtration: Google's two filtration windows. Pre-bid drops the bid request; post-serve credits the account after the event.

FAQ

Does SeaText replace Google's invalid traffic filters?

No. It runs alongside them. Google still filters pre-bid and post-serve. SeaText catches bots that slip through and gives you the evidence to ask for money back.

Can I use SeaText only for refund reports without blocking?

Yes. You can run in monitor-only mode to collect evidence first, then enable blocking once you're comfortable.

What if Google already credited me for invalid clicks?

Google's credits are automatic and aggregate. SeaText's reports target the remainder — sophisticated bots that mimic human behavior well enough to pass Google's filters but still show behavioral tells.

How long does a refund claim take?

SeaText generates the report instantly. Platform review times vary: Google and Meta typically respond in 5–15 business days.

Does SeaText work on TikTok and Reddit ads?

Yes. The forensic report format is accepted by TikTok and Reddit's ad support teams for invalid-click disputes.

What's the cost model?

Usage-based with a free 1-month pilot. Exact pricing is not public; contact sales for a quote.

Will SeaText slow down my page?

Edge blocking adds ~10 ms. The snippet loads asynchronously and does not block rendering.

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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