Audit intermediate Works with: Any AI

Google Analytics Landing Page Performance Audit

Table output Has example

• 📡 Google Analytics

Rank pages by entry traffic, engagement and conversion.

The Open buttons send the prompt text as currently shown below to that site only when you click. Fill in the placeholders first.

[VERIFY] is an editorial flag, not a blank to fill. Wherever the prompt shows [VERIFY], check that item against a reliable source before you use it.

Audit landing pages. Data per landing page: sessions, engaged sessions, engagement rate, conversions, conversion rate and main sources: [LANDING_PAGE_DATA].

Calculate engagement rate (engaged sessions divided by sessions) and conversion rate, and rank pages by sessions and by conversions separately, since the biggest entry page is not always the one producing most outcomes. Identify high-traffic pages with low conversion and low-traffic pages with high conversion. For the five pages with the largest gap between traffic share and conversion share, record the main source, device mix and engagement rate, since a page that looks weak overall may be weak only on mobile or only for one channel; compare like with like by source.

Write one hypothesis and one test per page, for example shorten the form, move the call to action above the fold, or change the headline to match the campaign. Specify a minimum sample for judging a test, such as at least 200 sessions per version and two full weeks, and record results in a log. Warn about small samples and mixed sources. Verify menu names and policies against current help pages [VERIFY].

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Optional: type your details and the prompt above updates. Nothing is saved or sent.

Replace each bracketed placeholder with your own details, then paste into Any AI or another assistant.

Invented table. Page A: 5,000 sessions, 3,000 engaged = 60 percent, 100 conversions = 2.0 percent. Page B: 800 sessions, 560 engaged = 70 percent, 40 conversions = 5.0 percent. Page C: 4,000 sessions, 1,400 engaged = 35 percent, 20 conversions = 0.5 percent.
Reading: Page C has high traffic and low engagement and conversion, so test its headline and speed first. Page B converts well; send more relevant traffic to it. Test plan entry for Page C: change the headline to match the campaign wording and shorten the form from seven fields to four; run for 14 days with at least 200 sessions per version; success measure: conversion rate above 1.0 percent from 0.5 percent.

• google-analytics