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Adobe Analytics 2.0 Prompt Library
Ready-to-use AI prompts to analyze your Adobe Analytics data, uncover traffic and engagement trends, and optimize conversion funnels. Customize with your report suite name and date range, then paste into ChatGPT, Claude, or Gemini.
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See available Adobe Analytics 2.0 metrics & breakdowns →Reporting
Weekly Traffic & Engagement Overview
Get a concise weekly snapshot of visits, visitors, and engagement metrics.
Pull the Adobe Analytics 2.0 traffic and engagement data from my Adobe Analytics 2.0 account for the last 30 days. Show a summary table with: Total visits, Total visitors, Total page views, Average page views per visit, Time spent per visit (seconds), Single page visits, Bounces, and Bounce rate. Include week-over-week change percentages and highlight any metric that moved by more than 15%.
Reporting
Marketing Channel Breakdown
Understand where your traffic and conversions come from across channels.
From my Adobe Analytics 2.0 account for the last 30 days, break down Adobe Analytics 2.0 performance by Marketing channel and Marketing channel detail. Show: Total visits, Total visitors, Bounce rate, Orders per visit, Total orders, and Revenue. Sort by Total visits descending. Identify the top 3 channels by volume and the top 3 by Orders per visit, and flag any channel with high visits but weak conversion.
Reporting
Top Pages Performance Report
Identify your highest-traffic and most engaging pages.
From my Adobe Analytics 2.0 account for the last 30 days, show the top 30 Adobe Analytics 2.0 pages by Total page views, broken down by Page. Include: Total page views, Entries, Entrance rate, Exits, Exit rate, Total time spent (seconds), and Bounce rate. Flag pages with an Exit rate above 70% that also carry high traffic, and note which pages are engagement powerhouses versus which are leaking visitors.
Reporting
Device, Browser & Geo Report
Compare performance across devices, browsers, and regions.
Analyze Adobe Analytics 2.0 audience performance for my Adobe Analytics 2.0 account during the last 30 days. Break down by: 1) Mobile device type and Operating system with Total visits, Bounce rate, Orders per visit, and Revenue. 2) Top 5 Browser values with the same metrics. 3) Top 10 Geographic country and Geographic region values. Identify significant conversion gaps between devices or regions and suggest optimization priorities.
Optimization
Entry & Exit Page Optimization
Find entry and exit pages that are losing visitors and revenue.
From my Adobe Analytics 2.0 account for the last 30 days, analyze Adobe Analytics 2.0 entry and exit behavior. Break down by Entry page and Exit page, showing Entries, Entrance rate, Exits, Exit rate, Bounces, Bounce rate, and Total time spent (seconds). Identify: 1) High-traffic Entry pages with above-average Bounce rate. 2) Exit pages with high Exit rate that are not checkout or confirmation pages. For each flagged page, suggest specific improvements to internal links, content, and CTAs.
Optimization
Cart & Checkout Funnel Optimization
Locate and fix drop-off points across the cart and checkout funnel.
Analyze the Adobe Analytics 2.0 conversion funnel for my Adobe Analytics 2.0 account during the last 30 days. Map the steps Product views → Cart additions → Carts → Cart views → Checkouts → Total orders, and show the count and step-to-step drop-off rate for each. Include Cart removals and Orders per visit. Identify the single biggest drop-off point and recommend specific improvements to reduce abandonment at that stage.
Optimization
Product & Category Performance Review
Evaluate which products and categories drive views versus revenue.
From my Adobe Analytics 2.0 account for the last 30 days, review Adobe Analytics 2.0 product performance broken down by Product and Category. Show: Product views, Cart additions, Cart removals, Units, Total orders, Orders per visit, and Revenue. Identify products with high Product views but low Orders per visit, and categories that over- or under-index on Revenue relative to views. Recommend which products to promote, bundle, or de-prioritize.
Optimization
Campaign Tracking-Code ROI
Assess which tracking codes and campaigns deliver the best returns.
From my Adobe Analytics 2.0 account for the last 30 days, break down Adobe Analytics 2.0 performance by Tracking code and Marketing channel detail. Show: Campaign click-throughs, Total visits, Bounce rate, Orders per visit, Total orders, and Revenue. Which tracking codes drive the most engaged, converting traffic? Which have high click-throughs but poor Orders per visit? Recommend which campaigns to scale, pause, or restructure.
Analysis
New vs Returning Visitor Comparison
Compare behavior between new and returning visitors using loyalty and visit number.
From my Adobe Analytics 2.0 account for the last 30 days, compare Adobe Analytics 2.0 new versus returning visitors using Customer loyalty and Visit number. Show for each group: Total visits, Average page views per visit, Time spent per visit (seconds), Bounce rate, Orders per visit, and Revenue. How much more likely are returning visitors to convert? Recommend strategies to improve both first-visit acquisition and repeat-visit retention.
Analysis
First vs Last Touch Attribution
Understand how channels contribute at the start versus close of the journey.
Analyze Adobe Analytics 2.0 channel attribution for my Adobe Analytics 2.0 account during the last 30 days by comparing First touch channel and Last touch channel. For each channel show: Total visits, Total orders, Orders per visit, and Revenue under both first-touch and last-touch views. Which channels are undervalued by last-touch attribution? Recommend how to rebalance channel investment based on full-path insights.
Analysis
Search Behavior Analysis
Reveal how search engines and keywords drive engaged, converting traffic.
Analyze Adobe Analytics 2.0 search behavior for my Adobe Analytics 2.0 account during the last 30 days. Break down by Search engine and Search engine keyword (natural), showing Searches, Total visits, Bounce rate, Average page views per visit, Orders per visit, and Revenue. Which keywords bring engaged, converting visitors? Which drive high visits but immediate bounces (content gaps)? Recommend content and landing-page improvements based on the patterns.
Analysis
Site Section Depth & Engagement Analysis
Deep-dive into which site sections drive depth and conversions.
Analyze Adobe Analytics 2.0 content engagement for my Adobe Analytics 2.0 account during the last 30 days, broken down by Site section. For each section show: Total page views, Average page views per visit, Average visit depth, Average page depth, Total time spent (seconds), Bounce rate, and Total orders. Which sections drive the deepest engagement, and which drive the most conversions? Recommend a content strategy based on the data.
Audit
Report Suite Health Check
Run a comprehensive health check on your report suite setup.
Perform an Adobe Analytics 2.0 report suite health check for my Adobe Analytics 2.0 account using data from the last 30 days. Evaluate: 1) Are core metrics like Total visits, Total visitors, and Revenue populating consistently? 2) What is the ratio of Single page visits and Bounces to Total visits? 3) Are there unexplained spikes in a single Referrer type or Referrer domain (possible tracking issues)? 4) Is Marketing channel classification assigning most traffic correctly? Give an overall data quality score from 1-10 and list the top 5 issues to fix.
Audit
Marketing Channel Tagging Audit
Check that channels and tracking codes are tagged and classified correctly.
Audit Adobe Analytics 2.0 channel tagging and classification for my Adobe Analytics 2.0 account during the last 30 days. Break down by Marketing channel, Marketing channel detail, Referrer type, and Tracking code, showing Total visits and Campaign click-throughs. Identify: 1) What percentage of traffic falls into an unspecified or "none" Marketing channel. 2) Paid visits missing a Tracking code. 3) Inconsistent naming across Tracking code values. List all tagging issues found and the correct format for each channel.
Audit
Traffic Quality Audit
Identify bot traffic, spam, and other data quality issues.
Audit Adobe Analytics 2.0 traffic quality for my Adobe Analytics 2.0 account during the last 30 days. Break down by Referrer domain, Referrer type, and Geographic country, showing Total visits, Single page visits, Bounces, Bounce rate, and Time spent per visit (seconds). Look for: 1) Sources with abnormally high Bounce rate (>95%) and near-zero time spent (likely bots). 2) Suspicious Geographic country or region spikes. 3) Referrer spam domains. Estimate what percentage of Total visits may be invalid and recommend exclusions to clean the data.
Audit
Conversion & Video Tracking Audit
Ensure conversion and video events are complete and accurate.
Audit Adobe Analytics 2.0 conversion and video tracking for my Adobe Analytics 2.0 account using data from the last 30 days. Check that Cart additions, Checkouts, Total orders, Units, and Revenue populate consistently across Product and Marketing channel breakdowns, and that Video starts and Video completed are firing where video appears. Identify: 1) Steps in the cart funnel with implausible zero or missing counts. 2) Large gaps between Total orders and backend or CRM figures. 3) Pages with video content but no Video starts. List all tracking gaps and provide step-by-step fixes.
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