PLUGIN SETUP
Start using Google Analytics 4 in ChatGPT
Connect Google Analytics 4 to Adzviser, install Adzviser in ChatGPT, and start asking questions about your data.
Connect Google Analytics 4 to Adzviser
In Adzviser, sign in to Google Analytics 4 and allow Adzviser to read its reporting data.
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 Google Analytics 4 question
Start a new ChatGPT conversation and ask Adzviser to list your workspaces and show the GA4 property connected to each. Choose a workspace, ask about performance or trends, and continue with follow-up questions.
CHOOSE THE RIGHT CHATGPT CONNECTOR
Google Analytics 4 in ChatGPT: Google's official Google Analytics MCP server vs. Adzviser's read-only reporting connector
This side-by-side comparison covers Google's official Google Analytics MCP server and Adzviser's read-only Google Analytics 4 reporting connector in ChatGPT. Both choices let ChatGPT read Google Analytics reports. Google's option requires your team to run and maintain the server; Adzviser is ready to connect and can compare Google Analytics with your other marketing data.
Google's official Google Analytics MCP server
Install and maintain Google's Analytics server
Set up Python, a Google Cloud project, Analytics APIs and credentials, then run the server. This is a manual ChatGPT connection: run the server, make it reachable over HTTPS, enable Developer mode, add its MCP address, and authorize it. Developer mode availability depends on the account and workspace policy.
Run core, funnel, and realtime Google Analytics reports.
Read-only: retrieve core, funnel and realtime reports without changing Analytics settings.
Google Analytics only: analyze properties available to the credentials you configure.
Best for: developers and technical analysts who want to own the server and its setup.
Read Google's setup guideAdzviser's read-only Google Analytics 4 reporting connector
Connect Google Analytics 4 without running your own server
Sign in to Google Analytics through Adzviser, then install Adzviser in ChatGPT—no Python, Google Cloud project or server to maintain.
Ask about acquisition, engagement, landing pages or conversions, then continue the analysis with follow-up questions in the same ChatGPT conversation.
Read-only reporting; ChatGPT can analyze Google Analytics through Adzviser but cannot change the property or its settings.
Compare Google Analytics with connected advertising, commerce, email and CRM results in the same ChatGPT conversation.
Best for: marketing teams that want Google Analytics 4 and cross-channel reporting in ChatGPT without server setup.
Open Adzviser in ChatGPTCONVERSATION FLOW
Turn Google Analytics 4 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 sessions, users, and engagement metrics. Ask for a compact table and make the reporting period clear.
See the “Weekly Traffic Overview” promptFocus on a decision
Identify landing pages with high traffic but poor engagement. Ask ChatGPT to compare the options, supporting evidence, and possible downsides.
See the “Landing Page Optimization” promptAsk a follow-up
Compare behavior patterns between new and returning visitors. Ask what may explain the result, what evidence is missing, and what to examine next.
See the “New vs Returning Users Comparison” promptCHATGPT STARTERS
Start with a quick check, then analyze Google Analytics 4
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 GA4 properties and show the Adzviser workspace for each. After I choose one, return "Total revenue" for the last 7 complete days.
Identify landing pages with high traffic but poor engagement.
From the workspace I choose for the last 30 complete days, analyze Google Analytics 4 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).
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?
