1.1.2 Adobe Marketing Agent with ChatGPT
Video
In this video, you’ll get an explanation and demonstration of all the steps involved in this exercise.
1.1.2.1 Create custom app in ChatGPT for Adobe Marketing Agent
- a paid version of OpenAI’s ChatGPT
- using the ChatGPT web client
Go to https://chatgpt.com/ and log in using your account details. Once you’re logged in, you should see this. Click your username.
Select Settings.
Go to Apps and then select Advanced settings.
Turn on Developer mode and then click Back.
Click Create app.
Fill out the fields like this:
- Name:
Adobe Marketing Agent - MCP Server URL: check with your Adobe representative
- Authentication:
OAuth
Check the checkbox for I understand and want to continue.
Click Create.
ChatGPT will now attempt to connect to your Adobe account. Select Allow Access and then you’ll have to log in with your Adobe account.
Once you’ve logged in successfully, you should see that your Adobe Marketing Agent is now connected successfully.
1.1.2.2 Set context in Adobe Marketing Agent
Close this window.
You should then see this. Click the + icon, go to More and then select Adobe Marketing Agent.
Before interacting further with Adobe Marketing Agent through ChatGPT, the context needs to be set.
For this exercise, the context needs to be set to use:
- Sandbox: Prod - Accelerate (VA7)
The Sandbox setting helps to identify which sandbox AI Assistant should look at when asking questions.
- Dataview: Accelerate 2026 B2C
The Dataview setting helps to identify which dataview AI Assistant should look at when asking questions.
Enter the following Prompt and click the send button.
list sandboxes
You should then see a similar list of available sandboxes. The current sandbox in this example is set to prod.
To change that to the sandbox that needs to be used, enter the following Prompt and click the send button.
switch to sandbox accelerate
You should then see this. Click Set Context.
You should then see this. Enter the following Prompt and click the send button to set the dataview to use.
list dataviews
You should then see a similar list of available sandboxes. The current sandbox in this example is set to prod.
To change that to the sandbox that needs to be used, enter the following Prompt and click the send button.
switch to Accelerate 2026 B2C
You should then see this. Click Set Context.
You should then see this.
Your context is now propermy set, so you can start sending specific prompts next.
1.1.2.3 Start with overall purchase trends to anchor context and zoom into fiber
Intent
Get a toplevel pulse on category demand—Mobile, Landline, Internet, TV, Fiber—specifically for the most recent 60 days. This sets baselines for seasonality, promo effects, and regional variance after the New York rollout.
Enter the following Prompt and click the send button.
Show me purchases by mainCategory over the last 2 months.
You should then see this:
Enter the following Prompt and click the send button.
Show me purchases by mainCategory = Fiber over the last 2 months per week
You should then see this, which drills down into Fiber-specific trends.
1.1.2.4 Correlate Orders with Content Preferences
Intent
Test the hypothesis that a preference for a specific genre (e.g., SciFi, Sports, Drama) predicts broadband upgrade behavior—especially for high bandwidth needs.
First, you need to find out which field is used to store the genre preference.
Enter the following Prompt and click the send button.
Which field is used to store the preferred genre in the sandbox accelerate?
You should then see this, which shows that the field used for genre is _experienceplatform.individualCharacteristics.preferences.preferredGenre.
With that information, you can start drilling down in the purchase data.
Enter the following Prompt and click the send button.
Show me ordersYTD by preferredGenre for the last 2 months
You should then see this. Click Research.
You should then see this.
Scroll down to see more information.
1.1.2.5 Identify Existing Fiber Journeys
Intent
Discover which active or recently concluded journeys include “Fiber” in the title—e.g., “Fiber Upgrade NYC – Sept”, “Fiber Trial – Streaming Bundle”.
Enter the following Prompt and click the send button.
What journeys exist?
You should then see this. Click Research.
You should then see a list of journeys.
Enter the following Prompt and click the send button.
Which of these journeys has 'Fiber' in its name?
You should then see this. Click Research.
You should then see this.
Scroll down to see more details.
Enter the following Prompt and click the send button.
show me the details of the journey 'CitiSignal - Fiber Max Launch Promotion'
You should then see this.
1.1.2.6 Validate journey performance via fallout analysis
Intent
You want to understand journey performance fallout to know if there are any nodes or conditions within the journey that are experiencing a large percentage of profiles being dropped. This is helpful in understanding if additional adjustments are needed in the journey.
Enter the following Prompt and click the send button.
Create a fall-out report on the "CitiSignal - Fiber Max Launch Promotion" journey
You should then see this.
Scroll down a little bit. You can now review the table by inspecting each node and its respective enter numbers, fallout numbers, and fallout rate.
Scroll down a little bit more to see observations and recommendations.
You’ve now completed this lab.
Go Back to Agent Orchestrator