Filter the noise before it hits your analytics.
We filter bots and junk before they reach Google Analytics, Mixpanel, and the tools you already use — same stack, realistic data. Customers often find more real visitors and far more bots than traditional analytics show — up to 7× in some cases.
When metrics lie
If bots reach your analytics, every decision starts wrong.
- Noise in your tools
- Bots reach Google Analytics and the rest of your stack as if they were customers — so every report starts wrong.
- Fake conversion drops
- Conversion rate falls because bots never buy — so teams redesign the store instead of fixing traffic.
- Tools not built for bots
- Traditional analytics measure journeys — they lack the depth to catch sophisticated bots. Atmosvere is specialized for that.
- Wrong optimizations
- You A/B test, change UX, and burn budget chasing metrics that bots polluted.
Visibility
See more than traditional analytics more humans and far more bots.
- Analytics isn’t bot detection.
- Google Analytics and similar tools aren’t built for the depth we use — customers often see up to 7× more classified traffic once we filter first.
- Human, suspicious, bot.
- Split traffic the way Website Analytics does in the console.
Website Analytics
What traditional tools miss
Traditional analytics
8.2k
Sessions
No reliable human / bot split
Atmosvere
19.4k
Total classified
- Human9.9k
- Weak-evidence bots4.6k
- Strong-evidence bots4.9k
~2.4× more classified traffic
More humans than traditional tools — and about half of what we see is weak- and strong-evidence bots
Filter before analytics
Same stack — noise never enters
| Claimed as | Atmosvere | Destination |
|---|---|---|
| Safari / macOS | Suspicious | Filtered out |
| Safari / iPhone | Likely human | Reaches analytics |
| Chrome / Android | Bad bot | Filtered out |
| Googlebot | Bad bot | Filtered out |
| Chrome / Windows | Bad bot | Filtered out |
Click a visit to see tag outcome
80% of sessions never entered your tools
Filter pipeline
Strip noise before it hits analytics and every tool you already use.
- Same stack. Cleaner data.
- Keep Google Analytics, Mixpanel, and the rest — bots never reach them.
- Tags stay dark for junk.
- Gate pixels on classification from Bot protection.
Conversion rate
Trust conversion rate again after bots leave the denominator.
- Same conversions. Cleaner visits.
- CR rises because bots never bought — not because you redesigned the page.
- Fix the right problem.
- Check traffic quality before burning budget on UX experiments.
Conversion rate after cleanup
Filter first — then trust the metric
Visits (dirty)
54.7k
Visits (clean)
24.7k
Conversions
838
CR before → CR after
1.5% 3.4%
Stop redesigning — traffic quality was the issue.
Key benefits
Your stack stays. The data gets real.
- Keep your analytics stack.
- We filter noise before it hits Google Analytics, Mixpanel, and the tools you already use — same dashboards, realistic data.
- Built to catch what analytics cannot.
- Analytics platforms are not bot detectors. We specialize in classification — so customers often find more humans and far more bots, up to 7× in some cases.
- Stop fixing the wrong problem.
- When conversion dips, check traffic quality before rebuilding the page.
- Catch hidden bots.
- Compare claimed identity with what the visit actually is — before those sessions enter reports.
- Quality by channel.
- See Google, Meta, and other sources scored so spend follows real demand.
- Marketing Shield + Bot protection.
- Clean paid measurement with Marketing Shield; keep site traffic clean with Bot protection.
Frequently asked questions
- Do I need to replace Google Analytics or my other tools?
- No. Atmosvere filters noise before it reaches your usual analytics. Keep Google Analytics, Mixpanel, and the rest — you just get far more realistic data in them.
- Can't my analytics platform filter bots itself?
- Traditional analytics is built to measure journeys, not to detect sophisticated automation. It often lacks the depth and tooling to catch the bots we do. Atmosvere is specialized solely for traffic classification and filtering — so junk never reaches those tools in the first place.
- How can you see more traffic than traditional analytics?
- Client-side tools miss visits that never execute their scripts, and they often mislabel bots as users because detection is not their job. We classify earlier and deeper, so customers typically discover more real humans and more bots than they knew about — in some cases up to 7× more overall.
- Why does conversion rate look worse when bots hit the site?
- Bots inflate visits and almost never convert. The ratio falls even when the store is fine — so the first fix is cleaner traffic before it hits your reports, not always a redesign.
- Is this the same as invalid paid traffic?
- Invalid paid traffic focuses on campaigns and signals back to Google and Meta. Clean analytics is about site metrics in the tools you already use. Both are Marketing Shield use cases — use them together.
- Does this slow real shoppers?
- No. Trusted visitors pass with minimal friction. Challenges and blocks target automation.
European by design
Built for European trust. Austrian company. European-owned infrastructure. GDPR-first by default.
- Requests analyzed
- Billions
- Bot checks
- Hundreds
- Infrastructure
- EU-owned
- Mission
- 1
Keep your tools. Trust the numbers.
Filter noise before it hits analytics — then optimize for visitors who can convert.









