Adobe Analytics Features
Adobe Content Analytics (coming soon)
Get comprehensive insights into image performance with in-depth reports and visualizations. Content Analytics uses AI and machine learning (ML) to identify the characteristics driving engagement so you can optimize content at scale.
Content measurement and ROI
Elevate your content strategy with a comprehensive understanding of content performance, customer engagement, and conversion measurement insights — so creative and content marketing teams can make data-driven optimizations.
- Content insights. View key asset metrics — such as impressions, click-through rates, top-performing attributes, and placements — to understand how published images engage visitors.
- Asset conversion. View asset performance and engagement rates alongside conversion metrics to determine the images and assets driving results.
- Webpage conversion. Evaluate how an entire webpage experience — including all embedded imagery — contributes to conversion with additional filtered views.
- Cross-channel performance (in development). Understand how paid media and email assets lead to conversions and determine which to prioritize for increased awareness and engagement.
Content intelligence
Quickly and easily investigate large volumes of content data with intuitive, out-of-the-box reporting and visualization tools. Teams can quickly assess asset performance, uncover engagement trends, spot anomalies, identify optimization opportunities, enhance segmentation, and define new audiences for activation.
- Advanced analysis. Filter data by asset, attribute, metadata, audience, engagement, and more to answer vital business questions.
- Content performance templates. Get reporting up and running quickly with purpose-built templates that generate content performance metrics and visualizations.
- Asset inspector. View asset thumbnails within the user interface and get detailed insights of the metadata — including assigned image attributes, page placements, and performance metrics.
- Anomaly detection. Get in-app alerts for statistically significant anomalies in your content data, such as sudden spikes or declines in asset or attribute engagement.
- Audience publishing. Define audiences based on content views or engagement and immediately share them for activation and orchestration across other Adobe products.
Data connection and AI-driven automation
Unlock a new level of content insights with AI and ML services that automatically extract and organize image attributes for analysis, letting you better understand the content driving engagement.
- Automatic image attribution. Save time and resources using AI to review images and automatically assign relevant attributes — such as color, image background tone, emotion, aesthetic, keywords, and more.
- Data connections. Connect content event data with customer behavioral data to uncover the impact of content on engagement and conversion.
- Simplified tagging structure. Reduce complexity and overhead by using a single Adobe Experience Platform Web SDK to capture all your digital and content events.
- Automatic asset identification (in development). Leverage an AI-powered service that assigns asset IDs to unique images across your experiences without duplication, even if they appear on multiple pages, in different file types, sizes, or crop ratios.
FORRESTER REPORT
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Learn more about Adobe Content Analytics.
Content as a Service v3 - Content Analytics - Wednesday, March 12, 2025 at 14:59
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