Inspired by Photoshop, Adobe has added the high in demand Customer Journey Analytics to its array of solutions.
In a very market-focused addition to its Analytics platform, Adobe has released Customer Journey Analytics as part of its Adobe suite. The new analytics offering that is powered by Adobe Experience Platform, has been touted as an easy-to-use, interactive analytics interface that enables “anyone in an organization” to work with data, not just data scientists. With the new tool, marketing teams can bring in data sets from point-of-sale systems and call centers, to analyze and derive much better and deeper insights on the customer preferences and behavior, across all industries. The new application will make it very easy for brands to collate all metrics around orders, conversions, visits and more across different channels using a drag-and-drop model
“From the start, the team developed the Customer Journey Analytics interface with cues taken from Photoshop,” writes Adobe Analytics Product Marketing Manager Nate Smith, “Both are rooted in the concept of layers…In Customer Journey Analytics, the layers are data sets.”
Also read: 2 Ways to Improve Your Business’s Brand
This solution meets a key challenge that marketers face- a comprehensive view of the customer journey across online and offline campaigns and channels. As customer engagement avenues evolve and increase, they create unique data sets that often reside in silos. The effort that goes into collating, structuring and analyzing that data is humongous and very discouraging for most teams. With this product, Adobe will make it simpler for marketers to stitch together disparate data and the analysis, in a much more user-friendly manner. This could be the starting point of an extremely insightful data analytics journey for any marketer.
Further, it aims to help marketers act by giving them recommendations derived from predictive modeling. The platform includes pre-built AI and ML models from the Adobe Experience Platform that offers predictive analytics attached to the customer journey and suggest recommendations on best next steps.