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Google Analytics 4 Prompt Library
Ready-to-use AI prompts to analyze your GA4 data, uncover traffic trends, and optimize conversion funnels. Customize with your property name and date range, then paste into ChatGPT, Claude, or Gemini.
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See available Google Analytics 4 metrics & breakdowns →Reporting
Weekly Traffic Overview
Get a concise weekly snapshot of sessions, users, and engagement metrics.
Pull the traffic overview data from my Google Analytics 4 account for the last 30 days. Show a summary table with: Sessions, Total Users, New Users, Engaged Sessions, Engagement Rate, Average Engagement Time, Pageviews, and Bounce Rate. Include week-over-week change percentages. Highlight any metrics that changed by more than 15%.
Reporting
Traffic Source Breakdown
Understand where your traffic is coming from across all channels.
From my Google Analytics 4 account for the last 30 days, break down traffic by source/medium. Show: Source/Medium, Sessions, Users, New Users, Engagement Rate, Average Engagement Time, Conversions, and Conversion Rate. Sort by Sessions descending. Identify the top 3 sources by volume and the top 3 by conversion rate. Which traffic sources are underperforming relative to their volume?
Reporting
Top Pages Performance Report
Identify your highest-traffic and most engaging pages.
From my Google Analytics 4 account for the last 30 days, show the top 30 pages by pageviews. Include: Page Path, Pageviews, Unique Users, Average Engagement Time, Entrances, Exits, Exit Rate, and Conversions. Flag pages with an exit rate above 70% that also have high traffic. Which pages are engagement powerhouses and which are leaking users?
Reporting
Device & Browser Report
Compare performance across devices and browsers.
Analyze device and browser performance for my Google Analytics 4 account during the last 30 days. Break down by: 1) Device Category (desktop, mobile, tablet) with Sessions, Engagement Rate, Conversions, and Conversion Rate. 2) Top 5 browsers with the same metrics. Identify if there's a significant conversion rate gap between mobile and desktop. Suggest optimization priorities based on the data.
Reporting
Geographic Performance Report
Discover which countries and cities drive the most valuable traffic.
For my Google Analytics 4 account during the last 30 days, break down performance by country (top 15) and city (top 20). Show: Location, Sessions, Users, Engagement Rate, Conversions, Conversion Rate, and Revenue (if available). Which regions have the highest engagement but lowest conversion rate (potential optimization opportunities)?
Reporting
Monthly Executive Report
Generate a comprehensive monthly report for stakeholders.
Generate a monthly executive report for my Google Analytics 4 account covering the last 30 days. Include: 1) Overall traffic metrics with month-over-month changes. 2) Top 5 traffic sources by sessions and by conversions. 3) Top 10 landing pages by engagement. 4) Device split and trends. 5) Key conversion metrics and funnel performance. 6) A brief summary paragraph with 3 actionable insights for next month.
Optimization
Landing Page Optimization
Identify landing pages with high traffic but poor engagement.
From my Google Analytics 4 account for the last 30 days, analyze landing page performance. Show: Landing Page, Sessions, Bounce Rate, Engagement Rate, Average Engagement Time, Conversions, and Conversion Rate. Identify landing pages with: 1) High traffic (top 20% by sessions) but low engagement rate (below average). 2) High engagement but low conversion rate. For each flagged page, suggest specific improvements (speed, content, CTA placement).
Optimization
Conversion Funnel Optimization
Find and fix drop-off points in your conversion funnel.
Analyze the conversion funnel for my Google Analytics 4 account during the last 30 days. Map out the user journey from landing page → key interaction pages → conversion. Show: Step Name, Users at Each Step, Drop-off Rate Between Steps, and Average Time Between Steps. Identify the biggest drop-off point in the funnel. Recommend specific improvements to reduce drop-off at each stage.
Optimization
Page Speed Impact Analysis
Correlate page load times with engagement and conversions.
From my Google Analytics 4 account for the last 30 days, analyze how page performance impacts user behavior. For the top 20 pages by traffic, show: Page Path, Pageviews, Average Engagement Time, Bounce Rate, and Conversion Rate. Identify pages where low engagement time and high bounce rate suggest potential speed or UX issues. Prioritize which pages to optimize first based on traffic volume and conversion potential.
Optimization
Internal Search Optimization
Understand what users search for on your site to improve navigation.
Analyze site search data from my Google Analytics 4 account for the last 30 days. Show: Search Term, Number of Searches, Search Exits %, and Conversions after Search. What are users looking for most? Which searches lead to exits (content gaps)? Which searches lead to conversions? Recommend new content to create or navigation improvements based on search patterns.
Optimization
Exit Page Analysis
Find pages where users leave and identify retention opportunities.
From my Google Analytics 4 account for the last 30 days, show the top 20 exit pages by exit count. Include: Page Path, Pageviews, Exits, Exit Rate, Average Engagement Time, and whether the page is a conversion page. For non-conversion pages with high exit rates, suggest strategies to keep users engaged (internal links, CTAs, content improvements). Calculate estimated lost conversions based on exit volume.
Optimization
Campaign UTM Performance Review
Evaluate which UTM-tagged campaigns drive the best results.
From my Google Analytics 4 account for the last 30 days, break down performance by UTM Campaign. Show: Campaign Name, Source, Medium, Sessions, Engagement Rate, Conversions, Conversion Rate, and Revenue. Which campaigns drive the most engaged traffic? Which have high volume but poor conversion? Recommend which campaigns to scale, pause, or optimize.
Analysis
New vs Returning Users Comparison
Compare behavior patterns between new and returning visitors.
From my Google Analytics 4 account for the last 30 days, compare new users vs returning users. Show: User Type, Sessions, Pageviews per Session, Average Engagement Time, Bounce Rate, Conversions, and Conversion Rate. How much more likely are returning users to convert? What's the ideal ratio of new vs returning users? Suggest strategies to increase both acquisition and retention.
Analysis
User Journey Path Analysis
Map the most common paths users take through your site.
Analyze user paths through my Google Analytics 4 account during the last 30 days. Show the top 10 most common page sequences (e.g., Home → Product → Cart → Checkout). For each path: Number of Users, Conversion Rate, and Average Path Length. Which paths lead to the highest conversion rates? Are there common detours or loops that slow down the journey? Recommend ways to streamline the highest-potential paths.
Analysis
Content Engagement Analysis
Deep-dive into which content types and topics drive the most engagement.
Analyze content performance for my Google Analytics 4 account during the last 30 days. Group pages by content type (blog, product, landing page, etc.) based on URL patterns. For each group, show: Total Pageviews, Average Engagement Time, Engagement Rate, Scroll Depth (if available), and Conversions. Which content type drives the most engagement? Which drives the most conversions? Recommend a content strategy based on the data.
Analysis
Audience Cohort Analysis
Analyze user retention and behavior over time by acquisition cohort.
Perform a cohort analysis for my Google Analytics 4 account during the last 30 days. Group users by acquisition week and track: Retention Rate at Week 1, 2, 3, and 4; Sessions per User; and Conversion Rate for each cohort. Which acquisition cohorts have the best long-term retention? Is retention improving or declining over time? Identify what changed for cohorts with notably better or worse retention.
Analysis
Channel Attribution Analysis
Understand how different channels contribute to conversions.
Analyze channel contributions for my Google Analytics 4 account during the last 30 days. Show each default channel grouping (Organic Search, Paid Search, Social, Direct, Email, Referral, etc.) with: Sessions, First-touch Conversions, Last-touch Conversions, Assisted Conversions, and Total Conversion Value. Which channels are undervalued by last-click attribution? Recommend how to adjust channel investment based on full-path attribution insights.
Audit
GA4 Property Health Check
Run a comprehensive health check on your GA4 setup.
Perform a GA4 property health check for my Google Analytics 4 account using data from the last 30 days. Evaluate: 1) Are key events being tracked (page_view, purchase, sign_up, etc.)? 2) What's the ratio of engaged vs non-engaged sessions? 3) Are there unusual spikes in Direct traffic (possible tracking issues)? 4) Is cross-domain tracking working (check for self-referrals)? 5) Are UTM parameters consistent and properly formatted? Give an overall data quality score from 1-10 and list the top 5 issues to fix.
Audit
Event Tracking Audit
Verify all important events are being tracked correctly.
Audit the event tracking setup for my Google Analytics 4 account using data from the last 30 days. List all tracked events with: Event Name, Event Count, Users Who Triggered It, and whether it's marked as a conversion. Identify: 1) Events with zero or suspiciously low counts. 2) Key user actions that might not be tracked (e.g., form submissions, video plays, downloads). 3) Duplicate or redundant events. Recommend an optimized event tracking plan.
Audit
Traffic Quality Audit
Identify bot traffic, spam, and other data quality issues.
Audit traffic quality for my Google Analytics 4 account during the last 30 days. Look for: 1) Sources with abnormally high bounce rates (>95%) and zero engagement time (likely bot traffic). 2) Geographic regions generating suspicious traffic patterns. 3) Sessions with 1 pageview and 0 engagement time at high volumes. 4) Referral spam sources. Estimate what percentage of total traffic may be invalid. Recommend filters or exclusions to clean up the data.
Audit
Conversion Tracking Audit
Ensure your conversion tracking is complete and accurate.
Audit conversion tracking for my Google Analytics 4 account using data from the last 30 days. Check: 1) How many conversion events are configured and which ones are active? 2) Are there pages or flows where conversions should be happening but aren't being recorded? 3) Is there a large discrepancy between GA4 conversions and your CRM or backend data? 4) Are conversion values being passed correctly? List any tracking gaps and provide step-by-step fixes.
Audit
Mobile Experience Audit
Evaluate whether your mobile experience is causing lost conversions.
Audit the mobile experience for my Google Analytics 4 account using data from the last 30 days. Compare mobile vs desktop: Engagement Rate, Bounce Rate, Pages per Session, Average Engagement Time, Conversion Rate, and Revenue per User. For the top 10 mobile landing pages, show engagement metrics. Identify specific mobile pain points (high bounce rates, short sessions) and estimate the revenue opportunity if mobile conversion rate matched desktop.
Audit
Channel Tagging Audit
Check that all marketing channels are properly tagged and categorized.
Audit channel tagging and UTM consistency for my Google Analytics 4 account during the last 30 days. Review: 1) What percentage of traffic falls into the (direct) / (none) channel — is this abnormally high? 2) Are all paid campaigns properly tagged with UTMs? 3) Are there inconsistencies in UTM naming (e.g., 'facebook' vs 'Facebook' vs 'fb')? 4) Are any marketing channels misclassified in the default channel grouping? List all tagging issues found and provide the correct UTM format for each channel.
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