Acoustic Analytics
Acoustic Analytics
Overview
Recent Reviews
Awards
Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards
Video Reviews
Leaving a video review helps other professionals like you evaluate products. Be the first one in your network to record a review of Acoustic Analytics, and make your voice heard!
Pricing
View all pricingEntry-level set up fee?
- No setup fee
Offerings
- Free Trial
- Free/Freemium Version
- Premium Consulting / Integration Services
Would you like us to let the vendor know that you want pricing?
Alternatives Pricing
Features Scorecard
No scorecards have been submitted for this product yet.Start a Scorecard.
Product Details
What is Acoustic 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.
Acoustic Analytics Technical Details
Operating Systems | Unspecified |
---|---|
Mobile Application | No |
Comparisons
View all alternativesCompare with
Reviews and Ratings
 (70)
Reviews
(1-5 of 5)- Popular Filters
Companies can't remove reviews or game the system. Here's why
February 20, 2019
Good Product
- Simple implementation
- Better results
- Easy connectivity
- More knowledge sharing sessions
- UI/UX Improvements
- More tooltips on icons
February 13, 2019
Automation is key
- Ease of use of the tool
- Fast results for sales from automated merchandising
- Great insight into top performers
- Good support
- Sometimes it times out and tool goes down
October 17, 2017
Practical CXA
- 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
Experiencing your website and mobile business as your customers do
- 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.
August 02, 2014
Highly suggested
- Enables you to see the exact path and UI that the customer has taken.
- More attributes to filter by.