Surface campaign insights without building reports

Last update: June 8, 2026

AI client showing recommended next steps to improve campaign performance {modal="regular"}

Select to zoom.

Campaign analysis that once required building reports in a separate tool is now a conversation. This walkthrough shows how to connect an AI client to Customer Journey Analytics (CJA) and ask performance questions in plain language. The result is faster time to insight, with no manual report building required.

Scenario details

CX Enterprise applications

Customer Journey Analytics (CJA)

Agentic tools

CX Enterprise MCP

Audience

Analysts, campaign managers

Prerequisite

MCP-compatible AI client, CJA access

Each step shows one representative prompt and an example AI response. A More you can accomplish section follows for additional exploration in the same session.

Before you begin

Claude.ai

Connect the CX Enterprise MCP as a custom connector to access Customer Journey Analytics tools.

Go to Settings > Integrations in Claude.ai.
Select Add custom connector and enter the server URL: https://cx-enterprise.adobe.io/mcp
Select Connect and sign in with your Adobe ID.

Full setup: Claude.ai Custom Connectors documentation

ChatGPT

Connect the CX Enterprise MCP using ChatGPT Developer Mode (Pro, Plus, Business, Enterprise, or Education plan required).

Enable Developer Mode in ChatGPT Settings.
Go to Settings > Integrations and select Add custom connector > Remote MCP server.
Enter the server URL: https://cx-enterprise.adobe.io/mcp
Select Connect and sign in with your Adobe ID.

Full setup: ChatGPT MCP documentation

Other AI clients

Using Gemini, Microsoft Copilot, Cursor, Claude Code, or another MCP-compatible environment? Connect to the CX Enterprise MCP using this endpoint:

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`https://cx-enterprise.adobe.io/mcp`

Full setup instructions for all supported clients: Connect to your AI client

NOTE

Sign in with your Adobe ID when prompted and select the IMS organization linked to your CJA data views. Choosing the wrong organization is the most common source of authentication errors.

On first connection, your AI client may ask you to select an IMS organization or specify a sandbox. Once that context is set, the MCP server uses it for the rest of the session.

Some tools prompt for your approval before they execute. Review the request and approve or decline. No action is taken without your confirmation.

Step 1: Discover available data views

Start by asking your AI client to list the data views available in your CJA account. This tells you which data sets you can query before running any reports.

What data views are available in my CJA account?

See an example response

AI client listing available CJA data views {modal="regular"}

Select to zoom.

Step 2: Pull campaign performance data

With a data view identified, ask for campaign performance by revenue and conversion rate. The AI resolves metric and dimension names from the data view without requiring technical IDs.

For '[data view name]', show me the top campaigns by revenue and conversion rate for the last 30 days.

See an example response

AI client showing top campaigns by revenue and conversion rate from the Omni-Channel - Multi-Industry data view {modal="regular"}

Select to zoom.

NOTE

Replace [data view name] with the name of your data view from step 1. Cross-check results in Analysis Workspace using the same data view and date range before sharing with stakeholders.

Step 3: Identify what is driving performance

Ask your AI client to explain what is driving the performance differences across campaign groups. This moves from headline numbers to the variables underneath.

What factors are driving the results for these campaign groups?

See an example response

AI client explaining the factors driving campaign group performance {modal="regular"}

Select to zoom.

Step 4: Drill into a specific campaign type

Follow up on a specific finding by asking for a segment-level breakdown. This reveals which customer types are driving performance within a campaign type.

Break down Promotional Email Campaigns by Customer Segment and explain what's driving the high conversion rate.

See an example response

AI client breaking down Promotional Email Campaign performance by customer segment {modal="regular"}

Select to zoom.

Step 5: Take action on what you found

Ask for prioritized recommendations based on everything surfaced in the session. Requesting business value estimates helps you decide where to act first.

Based on these findings, recommend the highest-impact actions to increase revenue and conversion rates. Prioritize recommendations by expected business value and estimate the potential uplift.

See an example response

AI client recommending prioritized actions with estimated business value {modal="regular"}

Select to zoom.

NOTE

CJA tools accessed through the CX Enterprise MCP can create segments, calculated metrics, and Workspace projects within CJA in the same session. To update campaigns, journeys, or content in other applications, connect the relevant MCP server or go to the application directly.

What you accomplished

You connected an AI client to Customer Journey Analytics and moved from data view discovery to prioritized business recommendations in five prompts. You identified top campaigns by revenue and conversion rate, surfaced the factors driving performance across campaign groups, drilled into segment-level detail for a specific campaign type, and received ranked recommendations with estimated uplift. This approach replaces report-building with a direct conversation, reducing the time between a business question and a data-backed action plan.

More you can accomplish

The CX Enterprise MCP can surface far more Customer Journey Analytics insights than the walkthrough covers. Expand a scenario below to see prompts you can try in the same session.

Find what's working and what's not

A quick picture of which campaigns are delivering and which are not helps you focus effort before reviewing any detailed reports. These prompts give you that picture in one session.

Prompts

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`Which campaigns are driving the most revenue and conversions?`

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`Show me the campaigns that need attention this month.`

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`What channels are outperforming expectations?`

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`Identify the biggest performance changes compared to last month.`

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`Show me conversion performance by traffic source.`

Understand what is driving results

Headline metrics tell you what happened. These prompts help you understand why: which segments, channels, and touchpoints are behind the numbers.

Prompts

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`What factors are driving revenue growth?`

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`Explain why conversion rates changed this quarter.`

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`Break down campaign performance by customer segment.`

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`Which customer segments are growing fastest?`

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`Which touchpoints contribute most to conversions?`

Discover growth opportunities

Knowing where performance is strong is only half the picture. These prompts help you identify where you can invest more, which audiences have headroom, and which campaigns are ready to scale.

Prompts

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`Where should we invest more marketing budget?`

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`Which audiences have the greatest growth potential?`

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`Which campaigns should we scale?`

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`What would have the biggest impact on revenue?`

Turn insights into action

CJA tools accessed through the CX Enterprise MCP can create segments, audiences, calculated metrics, and Workspace projects directly in CJA without leaving your AI session. Use these prompts to act on what you found.

Prompts

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`Create a segment for high-value customers.`

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`Build an audience from recent purchasers.`

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`Create a calculated metric for conversion efficiency.`

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`Save this analysis as a Workspace project for executive reporting.`

Further information

Resource

What you will find

CJA MCP Server in AI Registry

CJA MCP Server tools and availability

Customer Journey Analytics documentation

Full CJA application documentation

recommendation-more-help

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