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ADOBE ANALYTICS

Analytics that give you actionable insights. Not just canned reports.

Adobe Analytics lets you mix, match and analyse data from any digital point in the customer journey. With in-depth analysis, versatile reporting and predictive intelligence, you get the insightful foundation you need to build better customer experiences.

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Benefits of Adobe Analytics

  • Start with web analytics. We give you faster results. Collect streaming web data thanks to the power of Adobe Experience Platform for faster analysis and insights everyone can immediately act on.
  • Marketing analytics that does more. We work across emerging digital channels, bringing data under one roof to get real-time insights based on a holistic view of your customer.
  • Attribution is key. We open the door to better decision-making. Use powerful attribution from paid, owned and earned media to see behind each conversion and invest accordingly.
  • Predictive analytics brings it home. We make hard things easy. Our AI and machine learning bring hidden opportunities and answers to everyone with the click of a button.

Explore all benefits

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data sources

Want to integrate even more data sources at enterprise scale? Customer Journey Analytics gives you the most complete analytics ecosystem.

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Analytics make it personal.

Get the insights to deliver personalised experiences at scale. Adobe Analytics allows you to get real-time insights to find the deepest, most actionable views into helping your customers.

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Gartner

Gartner names Adobe a Leader in its 2023 Gartner® Magic Quadrant™ for Digital Experience Platforms report for the 6th year in a row.

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BETTER TOGETHER

Adobe Analytics + Adobe Target.

Integrate your analytics, experimentation and personalisation tools so you can use your Adobe Analytics data as the single source of truth for A/B tests, personalisation strategies and the rest of your targeting.

Learn more about Adobe Target

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Questions? We have answers.

What is data analytics?
Data analytics is the process of examining large amounts of quantitative and qualitative data. It’s useful for companies looking to understand and predict business trends. If companies can recognise these trends in advance, they can draw out meaningful, actionable insights to make informed business decisions.
What is data visualisation?
Data visualisation is the practice of visually representing data to aid in decision-making. Data visualisation helps marketers visualise trends, patterns and outliers in data through graphic representation.
What is predictive analytics?
Predictive analytics is a method of analysing data in order to try to predict future behaviour and is often applied to business customers. It relies on tools such as machine learning and statistical modelling to produce results. Large amounts of data can be difficult to manage or interpret, but with predictive analysis actionable results can be produced and used.
What is big data?
Big data is a term used to describe large sets of data that are difficult to process or analyse with traditional solutions. This can be due to their volume, variety and velocity. The good news is that big data can be used to create a better customer experience using specialist software.
What is anomaly detection?
Anomaly detection is a process that uses statistical modelling and machine learning to automatically find unexpected anomalies in your data. It combs through vast amounts of data to immediately identify factors that are affecting your business.
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Customer Journey Analytics analyses data from every moment
CardDescription
Better decisions happen when you have a full-scale view of every customer. Customer Journey Management connects the dots in a single, easy-to-use interface.
cardDate
2022-04-05
cardImage
Adobe Analytics
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caas:content-type/product
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caas:content-type/product, caas:products/adobe-analytics