Close content performance gaps with data-driven updates

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Content performance gaps cost campaigns results, and closing them usually means switching between your analytics tool and your CMS. This walkthrough shows how to do it in a single AI session: surface campaigns with conversion gaps in Customer Journey Analytics, diagnose the cause, inspect the underperforming content in AEM, and apply updates without leaving your conversation.

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

Step 1: Find campaigns with a conversion gap

Use CJA to surface campaigns where click-through is strong but conversion rate is low. This pattern (high intent, low completion) typically points to a content or experience problem on the landing page.

Which campaigns have strong click-through but low conversion in the last 30 days?

Step 2: Diagnose the root cause

Follow up to understand what is driving the gap. Ask whether the drop-off is concentrated on a specific device type, audience segment, or content interaction.

What's causing the conversion drop-off, is it device, segment, or content?

Step 3: Review the content in AEM

With the underperforming campaign identified, pull the landing page from AEM in the same session. Seeing what the page currently says is the starting point for understanding what to change.

Show me the Bali Surf Camp page.

Step 4: Get targeted recommendations

Ask your AI client to connect what the data showed with what is on the page. The AI reasons across both sources to identify which content sections are likely causing the drop-off and what to change.

Which content sections are underperforming, and what changes would you recommend?

Step 5: Apply and review the changes

Ask your AI client to create an optimized version of the page based on the recommendations and summarize what changed and why.

Create an optimized version of the Bali Surf Camp page and summarize the proposed changes.

What you accomplished

You connected Customer Journey Analytics and AEM in a single AI session and moved from campaign data to deployed content changes without switching tools. You identified campaigns with conversion gaps, diagnosed the root cause, inspected the landing page, received targeted recommendations grounded in both data and content, and applied the changes in the same conversation. This shortens the feedback loop between analytics insight and published content, and scales to any number of underperforming pages in the same session.

More you can accomplish

With CJA and AEM connected in the same session, you can cover the full cycle from identifying problems to shipping fixes. Expand a scenario below to see prompts you can try.

Which campaigns have the highest traffic but lowest conversion rate this quarter?

Which pages have a high bounce rate but also high traffic?

Compare engagement rates for landing pages across email and paid social campaigns.

Find AEM pages linked from active campaigns that haven't been updated in over 60 days.

Update the CTA on the [page name] page to better match the campaign audience.

Rewrite the hero headline on the [page name] page to address the mobile drop-off.

Add a trust signal to the [page name] page above the conversion form.

Which pages updated in this session still need to be published?

Show me all pages updated in this session that are still unpublished.

Create a launch with all changes from this session for review before publishing.

Give me a summary of all changes made in this session.

Publish all confirmed changes and share the updated URLs.

Further information