Brands are facing problem in understanding the customer journeys Analytics as they do not have a complete image of data. Companies are trying to decode the complex information that is scattered across various functions and departments. Therefore, teams are gaining incomplete data insights. As a result of this, the problem is getting worse with static dashboards and top-line vanity metrics. Connecting real-time data is still a significant challenge, but, people are trying to link different systems like CRM and ERP. Millions of transactions are occurring every day on mobiles, videos, and more, while, brands are still using out of date insight and inheritance analysis tools to inform customers.

Adobe Analytics has brought Customer Journey Analytics which is a breakthrough in this arena. It equalizes and glues together customer data from several organizations and lends a new way of considerate information transversely online, offline, and third-party channels. The best part is that you need not be a data scientist to understand it as it is easy to use and understandable. 

The Web Analytics team has developed customer journey analytics by directly taking indications from Adobe Photoshop. The backbone of the working of both of them is in layers. That is, in Adobe Photoshop, images and graphics are taken, edited and modified and are grafted over one another to produce the final visual output. In the case of customer journey analytics, the layers are data sets. Brands can generate metrics such as orders, leads, and visits across diverse channels with Adobe Analytics Experience Platform. After this, they can drag and drop data together to find out how customers connect with brands. It provides a more profound and better understanding of the customer journey.

Various international brands are using Adobe Analytics to analyze digital engagement in real-time. Using Customer Journey Analytics, teams associated with Adobe Analytics can bring in new data sets like point-of-sale systems and call centers to produce insights that are enhanced and aligned with how consumers interact with brands. Due to this, the creativity gap in data analysis can be filled. The individuals will be more inventive, and they will try new ways to combine and merge data layers in the same way that is done in Adobe Photoshop. Brands will move a step to step with customers, and they can understand the customer journey in a better way.

Below are the advantages of Customer Journey Analytics for brands:

Allocate solutions to intricate problems

The potential to unite and layer brands can evaluate customer segments, analyze fallout behavior, and uncover high performing journeys, and so on. Different from the traditional interfaces, individuals can present compilations of insight of multiple addressees in real-time. The best example is of retail stores where brands can bring physical stores and e-commerce data and insights. 

 Anyone can work on the data

Customer journey analytics is an asset for data scientists, but, this is also accessible to a broad type of product managers. This new interface in Web Analytics gives the individual the liberty to view data according to their preference and requirements. Whether it is routine tasks of a hotel considering their customer fallout or a technical job where the individual views data sets using SQL, it all can be carried through Adobe Analytics

 Grip the power of Artificial Intelligence and Machine Learning

Through Adobe Analytics and your Web Analytics in general, your brands can neutralize resource limitation that is characteristic of most data science teams. Better predictions can be made on the activities happening across the customer journey, recommend on most exceptional next steps or automate burdensome processes using the pre-built AI/ML models in Adobe Analytics Experience Platform. A subscription service, for example, can begin to see when a section of users is likely to disable their membership and the category of content or promotions that can make advanced maintenance.

Announcement of Cross-device Web Analytics in Adobe Analytics helps brands understand customers like humans and not just devices. Behaviors of different devices are merged into a solitary flow so that brands can better understand how customers interact with them across various devices. With these Web Analytics, brands can minimize unnecessary and negative experiences for customers. 

This Photoshop inspired working in Adobe Analytics processes data in a better and complete way. In addition to this, it is so user-friendly that any individual can use it.