Content marketers have long operated with limited visibility into how their efforts translate into business outcomes. The challenge is straightforward, yet difficult to address; which content elements actually drive engagement, conversions, and revenue?
With constantly evolving websites and mountains of content, the path forward is often unclear. Most marketers still rely on intuition—occasionally supported by A/B testing—but this only scratches the surface of what’s needed to make strategic decisions. Without tying content data to business metrics, teams struggle to prioritize high-performing assets or make the case for additional investment.
Without meaningful insights, marketing teams and content designers are left guessing, relying on trends or manual experimentation without the data to guide improvements.
At Adobe Summit 2025 last month, Adobe introduced a new solution to help solve this problem: Adobe Content Analytics. Part of the Adobe Experience Platform (AEP), this tool integrates with Adobe Customer Journey Analytics and is available as an add-on. Adobe Content Analytics uses generative AI to automatically generate metadata—capturing elements like key colors, themes, emotions, and subjects—enabling deeper, AI-driven content performance analysis.
A New Way to Measure Content Effectiveness
Your content should drive engagement and growth—but without meaningful insights, decision-making remains uncertain. Too often, marketing teams and content designers are left guessing, relying on trends or manual experimentation without the data to guide improvements.
If you’ve already adopted Adobe Customer Journey Analytics (CJA), or you’re considering it, Adobe Content Analytics offers a powerful reason to take the next step. This tool enables AI content analytics that reveal how specific content attributes affect engagement—bringing clarity to what’s working, what isn’t, and why.
Common Challenges with Today’s Content Analytics
Content marketers face persistent roadblocks:
- Difficulty linking content engagement directly to ROI
- Fragmented data creating incomplete views of customer behavior
- Delayed insights that slow decision-making
- Manual, inefficient tagging processes
Sound familiar?
A Better Way Forward
Adobe Content Analytics, now available as an add-on to Adobe Customer Journey Analytics (CJA), solves these issues with intelligent automation and deep integration.
Clear, Measurable ROI
Automated generative AI tagging captures attributes—such as color, emotion, and narrative—so you can see exactly which content drives engagement and conversions. This clarity allows teams to optimize assets and measure digital content ROI with confidence.
Improved Customer Experiences
Adobe Content Analytics brings content performance metrics into the same environment as your conversion funnels, campaigns, and customer journey data. This unified view provides a new dimension to analyze how content impacts customer behavior and amplifies the digital experience.
AI-driven Efficiency and Content Governance
While many organizations are still defining AI use cases in early 2025, Adobe delivers an AI-powered content analytics tool that’s fast to implement and operationally lightweight. It automatically summarizes and tags content to support content ROI optimization with AI. This enables quicker insights, and strengthens content governance by tracking component usage across your digital ecosystem.
What Sets Adobe Content Analytics Apart?
- Automated generative AI tagging: Eliminate manual effort with metadata generated for both text and imagery. There’s no dependency on a specific content management system (CMS) or digital asset management (DAM) platform—it works independently. Adobe’s AI privacy standards ensure enterprise-grade security and ethical compliance.
- Seamless integration: Tight alignment with Adobe Customer Journey Analytics links your content to broader customer behavior insights, unlocking deeper analysis at scale.
- Visual analysis: Thumbnail-based reports within Adobe Customer Journey Analytics help spotlight top-performing content, making it easier to act on insights.
The Technical Advantage
Adobe Content Analytics is designed for fast, scalable deployment:
- Built on Adobe Experience Platform Web SDK: If you’re already running AEP Web SDK, you’re nearly ready to go.
- CMS/DAM independent: Compatible with any content or asset management system.
- AI-generated metadata: Enriched content data integrates directly into Adobe Customer Journey Analytics as a lookup dataset.
- Scalable infrastructure: Built to handle high volumes of content securely and reliably.
Get AI-driven content performance measurement without the complexity of custom implementation.
Key Questions Adobe Content Analytics Helps Answer
This tool helps address essential questions for digital content strategists:
| Content Usage |
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| Content Engagement |
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| Content and the Customer Journey |
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| Content Personalization |
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Take the Next Step Towards Strategic Clarity
Stop guessing how your content is performing. Adobe Content Analytics offers AI content measurement techniques that deliver strategic clarity, measurable ROI, and enhanced customer experiences.
Ready to connect content to outcomes? Let’s talk about how Adobe Content Analytics can help you measure what matters and drive performance. Contact us to get started.
