PLUGIN SETUP
Start using Adobe Analytics in ChatGPT
Connect Adobe Analytics to Adzviser, install Adzviser in ChatGPT, and start asking questions about your data.
Connect Adobe Analytics to Adzviser
Connect Adobe Analytics using OAuth Server-to-Server credentials: a Client ID and Client Secret.
Install Adzviser in ChatGPT
Open Adzviser in ChatGPT's plugin directory, install it, and sign in to your Adzviser account when asked.
Open Adzviser in ChatGPT ↗Ask your first Adobe Analytics question
Start a new ChatGPT conversation and ask Adzviser to list your workspaces and show the report suite connected to each. Choose a workspace, ask about performance or trends, and continue with follow-up questions.
CHOOSE THE RIGHT CHATGPT CONNECTOR
Adobe Analytics in ChatGPT: Adobe's official Analytics MCP server vs. Adzviser's read-only reporting connector
This side-by-side comparison covers Adobe's official Analytics MCP server and Adzviser's read-only Adobe Analytics reporting connector in ChatGPT. Adobe's server is for working directly with Adobe Analytics reports, segments and Workspace projects. Adzviser is for read-only analysis that combines Adobe Analytics with advertising, commerce and CRM results.
Adobe's official Analytics MCP server
Build and manage Adobe Analytics reports
Connect Adobe's MCP server to a supported AI assistant. Follow the provider's server setup; if it supplies a public MCP address, enable ChatGPT Developer mode, add that address, and authorize it. Developer mode availability depends on the account and workspace policy.
Build reports and work with segments, date ranges, calculated metrics, and Workspace projects.
Can build reports and manage segments, date ranges and Workspace projects.
Adobe Analytics only: work with its report suites and native components.
Best for: Adobe Analytics specialists working directly with native reports and components.
Read Adobe's documentationAdzviser's read-only Adobe Analytics reporting connector
Analyze Adobe Analytics with your other marketing data in ChatGPT
Connect Adobe Analytics in Adzviser, then install Adzviser from ChatGPT's plugin directory.
Open with a question about website traffic, engagement, conversions and content, inspect the answer, and continue the same conversation with follow-up questions.
Read-only reporting; ChatGPT cannot change anything in Adobe Analytics through Adzviser.
Analyze Adobe Analytics in the same ChatGPT conversation as connected advertising, analytics, commerce, email, and CRM sources.
Best for: marketers and agencies that want read-only Adobe Analytics reporting beside other marketing and revenue data in ChatGPT.
Open Adzviser in ChatGPTCONVERSATION FLOW
Turn Adobe Analytics data into clear next steps in ChatGPT
Start with the results, focus on the decision in front of you, and keep asking follow-up questions in the same conversation.
Review recent performance
Get a concise weekly snapshot of visits, visitors, and engagement metrics. Ask for a compact table and make the reporting period clear.
See the “Weekly Traffic & Engagement Overview” promptFocus on a decision
Find entry and exit pages that are losing visitors and revenue. Ask ChatGPT to compare the options, supporting evidence, and possible downsides.
See the “Entry & Exit Page Optimization” promptAsk a follow-up
Compare behavior between new and returning visitors using loyalty and visit number. Ask what may explain the result, what evidence is missing, and what to examine next.
See the “New vs Returning Visitor Comparison” promptCHATGPT STARTERS
Start with a quick check, then analyze Adobe Analytics
First, confirm ChatGPT can access the right data. Then ask a detailed question and follow up on the recommendation that matters most.
List my connected Adobe Analytics report suites and show the Adzviser workspace for each. After I choose one, return "Revenue" for the last 7 complete days.
Find entry and exit pages that are losing visitors and revenue.
From the workspace I choose for the last 30 complete 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.
Keep the same data source and time period. Which recommendation should I prioritize, what results support it, and what should I review before acting on it?
