Source

Statistical method & guardrails — found from sitemap — Pathmonk

Checked for Pathmonk on 20 Oct 2026

Technical details

type: page
http status: 200
content hash: sha256:79ab1f8b2e29dc0958317469a537280d34acd9adccb757851bec1e9f4cdee516
permission: robots_ok
screenshot: Screenshot on file (internal exhibit, not published)

Cited by

Uplift methods Report an error

“Every uplift you see in our dashboard is backed by established statistical methods: significance testing, confidence intervals, and sample thresholds”
Recommended traffic split Report an error

“That’s why we recommend showing Pathmonk to only 50% of your traffic at the start, or until you’re fully convinced of the value we provide.”
Significance confidence Report an error

“Statistical significance = confidence. It’s like saying: “I’m 95% sure this result didn’t just happen randomly.””
Peeking guardrail Report an error

“Pathmonk prevents this by requiring tests to run until they reach our 10,000 pageview threshold and hit statistical significance.”
Random assignment Report an error

“Every new visitor is randomly assigned to either group. There’s no bias in who sees which version.”
Max personalization allocation Report an error

“From the initial 50/50 split, you can gradually move toward 95% of your traffic seeing personalization.”
Control group at scale Report an error

“We always keep a 5% control group running in the background.”
Historical baseline fallback Report an error

“Compare against your historical baseline → look at conversion rates from before Pathmonk was implemented”
Capterra rating Report an error

“★★★★★ 4.7 on Capterra”
Customer count claim Report an error

“The AI growth engine trusted by 1,000+ growing companies.”

2 facts read from this page are not shown because they could not be confirmed on the page as captured.