PLUGIN SETUP
Start using Campaign Manager 360 in ChatGPT
Connect Campaign Manager 360 to Adzviser, install Adzviser in ChatGPT, and start asking questions about your data.
Connect Campaign Manager 360 to Adzviser
In Adzviser, sign in to Campaign Manager 360 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 Campaign Manager 360 question
Start a new ChatGPT conversation and ask Adzviser to list your workspaces and show the user profile connected to each. Choose a workspace, ask about performance or trends, and continue with follow-up questions.
CONVERSATION FLOW
Turn Campaign Manager 360 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
Review recent campaign results and the metrics behind the headline. Ask for a compact table and make the reporting period clear.
See the “Weekly Campaign Performance” promptFocus on a decision
Optimize site and placement targeting. Ask ChatGPT to compare the options, supporting evidence, and possible downsides.
See the “Placement Optimization” promptAsk a follow-up
Analyze cross-channel conversion paths. Ask what may explain the result, what evidence is missing, and what to examine next.
See the “Cross-Channel Attribution Analysis” promptCHATGPT STARTERS
Start with a quick check, then analyze Campaign Manager 360
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 Campaign Manager 360 user profiles and show the Adzviser workspace for each. After I choose one, return "Revenue" for the last 7 complete days.
Optimize site and placement targeting.
Review Campaign Manager 360 placement performance for the workspace I choose during the last 30 complete days. Identify high-CPA and low-CPA placements. Recommend which to scale, reduce, or cut. Estimate savings from removing underperformers.
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?
