Acoustic Analytics

Acoustic Analytics
Formerly IBM Watson Customer Experience Analytics

About TrustRadius Scoring
Score 9.0 out of 100
Acoustic Analytics

Overview

Recent Reviews

Good Product

9 out of 10
February 20, 2019
We are currently testing a couple projects using ML Algorithms in Watson to improve the customer experience. Watson Customer Experience …
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Practical CXA

7 out of 10
October 17, 2017
We leverage IBM CXA predominantly in support of clients. We do, however, use it against our own web assets to understand customer …
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Highly suggested

9 out of 10
August 02, 2014
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 …
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Pricing

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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…

Entry-level set up fee?

  • No setup fee

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting / Integration Services

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Features Scorecard

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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 SystemsUnspecified
Mobile ApplicationNo

Comparisons

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Reviews and Ratings

 (70)

Ratings

Reviews

(1-5 of 5)
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February 20, 2019

Good Product

Score 9 out of 10
Vetted Review
Verified User
Review Source
  • Simple implementation
  • Better results
  • Easy connectivity
  • More knowledge sharing sessions
  • UI/UX Improvements
  • More tooltips on icons
February 13, 2019

Automation is key

Score 8 out of 10
Vetted Review
Verified User
Review Source
  • 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

Chris Hall | TrustRadius Reviewer
Score 7 out of 10
Vetted Review
Reseller
Review Source
  • 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.
Nick Preese | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Reseller
Review Source
  • 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.