GoHighLevel Funnel Auditor
Pulls funnel analytics from GoHighLevel (GHL), runs real two-proportion z-tests on every A/B variant, AI critiques layout (headline, CTA, form length, hero), and proposes the next 3 tests to run with rationale and projected lift.
How it works
1. Pick a funnel
Three-way verdict: ‘Call it’ (significant winner), ‘Keep running’ (underpowered), or ‘Kill it’ (no signal). Real two-proportion z-test on the conversion rates with power calculation.
2. AI layout critique
Claude critiques the winning variant on specific layout signals — headline, CTA copy, CTA contrast, form field count, hero composition — with reasoning and benchmarks.
3. Suggested next tests
Three ranked test ideas with projected lift ranges, time-to-significance estimates, and one-click ‘Schedule in GHL’ that creates the new variant via the Funnels API.
60-second Loom
60-second flow: pick the Discovery Call funnel → A/B verdict shows WINNER +18% lift p≈5e-6 → click Run AI Critique → 4 typed blocks stream (headline / form / CTA contrast / stats readout) → 3 suggested next-test cards drop in → click Schedule Test 1 in GHL → modal streams 5 GHL provisioning steps → confirmation.
Loom embed coming soon — until then, click through to the live demo.
Get the full build spec PDF
One-page PDF with the architecture, the tech stack, the timeline (2–3 weeks), and the investment range ($9,990 – $25,000). Sent to your inbox in under a minute.
Who it’s for
Performance-marketing agencies, in-house growth teams, and anyone running GHL funnels at scale who want statistically-rigorous A/B verdicts (not vibe checks) plus AI-suggested next tests they can ship in one click.
Tech under the hood
Frequently asked questions
How does the significance test work?
Real two-proportion z-test on conversion rates with a 95% confidence threshold by default. Power calculation included to flag underpowered comparisons.
Can the AI actually ‘see’ the funnel layout?
Reads structured layout metadata from GHL (block types, headline text, CTA copy, form fields, color tokens) and a rendered screenshot via vision. Critiques on both signals.
Are the projected lifts trustworthy?
Ranges (not point estimates) from a benchmark dataset of 1,200+ funnel A/B tests across verticals. Clearly marked as priors, not guarantees.
Does it work for video sales letters or webinar funnels too?
Yes — funnel-type-aware: webinar funnels get critiqued on registration rate, show-up rate, and offer-conversion separately.
Want one of these in your business?
We’ll scope, build, and hand off a production-ready system in 3–4 weeks.