What’s New in Adobe Analytics
New features and capabilities have made it easier to put every journey into its proper context, whether it occurs via a mobile app, website, call centre or across devices. We’ve enabled you to refine and deepen your discovery of critical business insights, uncovering previously unseen patterns of behaviour among high-value groups of customers. And, we’ve further enabled the democratisation of data across your organisation with analysis that’s easier to perform and more accessible.
Customer Journey Analytics
Empower business intelligence and data science teams to stitch and analyse cross-channel data with a powerful analytics toolkit.
Cross-device analytics helps you to unify your app and web data into a single source of data to better understand the customer journey.
Enhanced Cohort Analysis
With the introduction of cohort analysis, Adobe Analytics made it possible for you to see patterns across the life-cycle of customer groups, answering critical business questions with just a couple of clicks. In early 2019, we released a new and significantly enhanced version of cohort analysis within Analysis Workspace, allowing for much more fine-tuned control over the cohorts you're building.
Learn more about cohort analysis
To enable deeper and more sophisticated analysis, you can now include up to 3 metrics and up to 10 segments to define inclusion and return criteria for cohort tables.
A retention cohort measures how well your visitor cohorts return to your experience over time. Each cell in the report table shows the number and percentage of visitors in the cohort who completed the included action during a defined time period.
A churn cohort is the inverse of a retention table and shows the visitors who fell out or never met the return criteria for your cohort over time.
Previously, Cohort Table calculations could only be made based upon the inclusion metric. Today, Rolling Calculations enable increased flexibility by allowing you to calculate retention or churn progressively based on each previous time period.
The introduction of Latency Tables allows for effective pre-analysis and post-analysis. It measures the time that has elapsed before and after the inclusion event occurred.
Go beyond time-based cohorts and create cohorts based on a dimension, like marketing channel, campaign, product, page or region. Use any dimension in Adobe Analytics to show how retention changes based on these values.
When creating a project, Analysis Workspace now lets you add multiple components to a panel as a drop-down. These drop-downs act as filters, activated when a user selects any one of the included components. This way, you can consolidate panels and facilitate deeper analysis for projects shared with others. Panels also support multiple drop-downs on the same panel.
When building projects, you can change the colour palette used for visualisations within Analytics Workspace. You can choose an existing colour palette or create your own to match the colours of your brand.
Auto-Tracking Mode lets you automatically track search-engine data by your Adobe Analytics implementation, simplifying the process of augmenting Adobe Analytics data with search engine data.
Drop-Zone Guides help you be more effective using Analytics Workspace by describing what each drag-and-drop action will do.
Additions to Analysis Workspace
Analysis Workspace already provides a robust, flexible canvas for creating impactful analytics projects. New capabilities focus on making projects easier to build, making them more visually intuitive and augmenting access to critical data. This enhances the depth and utility of insights.
Server Call Usage Dashboard & Alerts
Server Call Usage provides you with a transparent view of primary and secondary server call usage against your commitment. It will proactively alert you when you're approaching your total commitment and analyse where your server calls are being used. Identify and fix uncontrolled implementations or scale back in places where large volumes of less-valuable data are being collected.
The Adobe Analytics APIs are a collection of APIs that power Adobe Analytics products like Analysis Workspace. Create data-rich user interfaces that you can use to manipulate and integrate data. Create reports to explore, get insights or answer important questions about your data.
Adobe Analytics customers can now get early access to cutting-edge analysis tools and help shape the future of Adobe Analytics. Participating customers will be able to access new prototypes as they become available, then provide direct feedback to our development teams.
Java 11 Compatibility for Ad Hoc Analysis
On 6 August, 2018, we announced plans to deactivate Ad Hoc Analysis, as Ad Hoc Analysis functionality and capabilities were slated to move to Analysis Workspace. However, we will not set a date for Ad Hoc Analysis deactivation until workflow parity has been reached in Analysis Workspace. Continued support for Ad Hoc Analysis now includes compatibility for Java 11. Additionally, throughout 2019 we will continue the process of moving Ad Hoc Analysis functionality to Analysis Workspace.
Due to unique regulations governing foreign Internet traffic in the People’s Republic of China, companies doing business in China but located outside the country typically experience some degree of data latency and loss. To increase performance for companies doing business in China, we have introduced regional data collection (RDC) in mainland China. This will allow customers within China to send data directly to a data collection centre (DCC) within China instead of other locations globally. This improves page load times and data accuracy over sending the data to DCCs outside of China. Regardless of where your digital property is hosted or which language it uses, your users in China will experience improvements if you are using RDC in China.
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