Reviews (1-5 of 5)
Read Chris Hall's full review
Pros and Cons
- IBM CXA comprises an acquisition called Tealeaf. This tool has deep heritage and this is evident in its present-day capabilities.
- The Universal Behaviour Exchange or UBX puts the concept of personalisation at the forefront. The ability to combine physical (analog) and digital transactions to create the complete picture of a customer journey, is a stand out benefit.
- The solution does not have to involve the purchase of software. IBM CXA can be sold as a service bundled with analytics as a service. This not only lowers the cost of ownership, it gets around one of the principal issues. Strong staff with design and analytical capability to drive the solution and deliver tangible benefits.
- The seamless integration of Watson AI services to help with the heavy lifiting. Watson reinforces the analytical focus this solution has and can learn to recognise situations specific to a company.
- IBM CXA leverages script tagging to inspect specific behaviour patterns. A tagging engine against your web assets is a must-have to simplify script insertion and avoid having to leverage internal IT resources to modify web code.
- Tag management is perhaps the most challenging aspect of IBM CXA. In our view, this could be abstracted further and therefore simplified.
- We would like to see connectors with UBX to common platforms such as CRM, marketing automation. The more this is readily available, the quicker the time to value for clients.
December 10, 2014
Score 9 out of 10
Read Nick Preese's full review
Pros and Cons
- Tealeaf provides a unique view into a website beyond what typical web analytics can provide.
- It captures all of a website's traffic, no need to tag pages or decide ahead of time what data you want to capture.
- Data is captured and processed in real-time which reveal unknown issues as they are happening.
- Replay session to see what a customer or user actually did and not just they remember doing when a problem occured.
- Data is passively captured and is quick to implement because there is no need to change an app, which is great. Client side interactions also can be captured, but takes extra time because of integration into a site. There could be improvements made there.
- It can be hard to start making sense of the data because of the large volume of data it captures.
Acoustic Analytics (formerly IBM Watson Customer Experience Analytics) Scorecard Summary
About Acoustic Analytics (formerly IBM Watson Customer Experience Analytics)
Acoustic Analytics (formerly IBM Watson Customer Experience Analytics) is a customer journey analytic technology for recording and analyzing customer interactions on a company's website and any mobile channels. It allows the company to catch any mistakes or glitches in the system that may be hindering customer experience.
Categories: Customer Experience Management
Acoustic Analytics (formerly IBM Watson Customer Experience Analytics) Technical Details