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Adobe Analytics Features

Content Analytics (coming soon)

Measure creative asset performance across channels with in-depth reports and visualisations. With AI and machine learning (ML) services and rich content insights, your teams can identify the creative trends and characteristics that drive customer engagement so they can optimise content at scale and drive real business impact.

Content analysis

Adobe Content Analytics lets brands easily evaluate large volumes of creative content data to discover trends and anomalies, identify content fatigue, pinpoint top content performers and uncover insights from content exposure.

  • Adobe Experience Platform Web SDK. Ingest creative content data — both paid and owned — in near real time using the Adobe Experience Platform Web SDK. With it, you can streamline data connections across Adobe applications and get granular performance analysis. View asset impressions by page and also get detailed insights into your creative assets by campaign, device and other attributes.
  • Content data views. Easily adapt views of your data to visualise creative performance with the full customer journey. See how content exposure impacts desired actions like sign-ups, visits, subscriptions or purchases.
  • Summary data sources. Review summarised content insights at a granular creative-attribute level, to quickly understand what aspects of your content (such as colours, themes and emotions) result in higher performance.
An analysis of elements affecting the click through rate of a homepage

Learn more about content analysis.


A social ad and AI analysis of its top design attributes

AI-derived attributes

Save time and costs and understand your content experiences better with the help of AI and ML services that automatically extract, organise and analyse content attributes — such as colour, image background, emotion, aesthetic and keywords.

  • AI and ML content attribution service. Use the identity service to tie content consumption to unique customer IDs. AI can then link unique creative attributes and repeated customer engagement with creative content to determine asset performance by common characteristics.
  • Dimensional breakdowns. See content attributes — including those derived through AI — in freeform tables that can be broken down by any audience filter and data dimension, such as segment, channel, campaign, device type and more.

Learn more about AI-derived attributes.


Content data governance

Leverage robust governance tools, powered by Adobe Experience Platform, that are critical for data integrity and organisational requirements. Data labelling and catalog capabilities, along with strict data access permissions, allow organisations to efficiently manage data flows, keep track of where content is delivered and help ensure regulatory compliance.

  • Labelling and cataloguing. Create, manage, organise and enforce content usage policies with labelling, cataloguing and out-of-the-box templates you can customise to fit your brand’s needs.
  • Restatement and reprocessing of data. Easily correct errors found in content data on the fly — such as misclassification, duplication or incorrect processing — to save time and improve data and analysis integrity.
  • Data dictionary. Better understand and track the specific components being monitored and analysed — including creative content datasets — to help ensure dataset completeness and accuracy.
Data-use restriction labels

Learn more about content data governance.

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