Acoustic Analytics (formerly IBM Watson Customer Experience Analytics)

We collaborate with business and technology teams and come up with predictive algorithms to get better business results from our existing analytics program. It provides us with an understanding of omnichannel customer performance and directs decision-making. It captures all of a website's traffic, no got to tag pages or decide before time what data you would like to capture. Acoustic Analytics is not only is the capture of user behavior through activity automatically recorded but other, physical activity can also be channeled into the solution e.g. physical store purchases, call center interactions, etc.

We leverage IBM CXA predominantly in support of clients. We do, however, use it against our own web assets to understand customer journeys. Predominantly, we help clients first create a simulation to identify customer experience issues or opportunities and create a hypothesis. In collaboration with the company, we then establish a proof of concept using real customer transactions to validate our initial findings and confirm areas of opportunity.

Whilst there are many low-cost tools that provide insight into user activity and indeed offer session replay, this is an invalid basis for analysis; the focus is on raw data and not drawing conclusions from user activity. IBM CXA is particularly strong for transactional assets such as an eStore. It can, however, be applied to any situation involving user activity.

A particularly strong aspect of IBM CXA is the core foundation it sits upon - UBX or Universal Behaviour Exchange. Not only is the capture of user behaviour through activity automatically recorded, but other, physical activity can also be channeled into the solution e.g. physical store purchases, call centre interactions, etc.

IBM CXA is, therefore, in a strong position to represent entire customer journeys and not simply digital ones.

We are currently testing a couple projects using ML Algorithms in Watson to improve the customer experience. Watson Customer Experience Analytics excels at journey analytics, automatically identifying the pain points of customer experience. We collaborate with business and technology teams and come up with predictive algorithms to get better business results from our existing analytics program. It provides us actionable omnichannel customer behavioral insights and also guides decision making.

We use the commerce insights portion for automated merchandising on our websites

To view customer sessions to see how they navigate the site. We align this with OpinionLab feedback to couch the comments. We also use it to verify releases as our site is personalized--it differs based on your profile.