Good Product
We are currently testing a couple projects using ML Algorithms in Watson to improve the customer experience. Watson Customer Experience …
Acoustic AnalyticsFormerly IBM Watson Customer Experience Analytics
Overview
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…
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
Pricing
N/A
Unavailable
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
Would you like us to let the vendor know that you want pricing?
3 people also want pricing
Alternatives Pricing
What is Genesys Cloud CX?
Genesys Cloud CX (formerly PureCloud, Genesys Cloud) is a contact center application optimized for automatic call distribution, interactive voice response, email, social media, chat, and text/SMS. It is also a VoIP interconnect service provider.
What is Gainsight CS?
Gainsight’s customer-centric technology aims to drive the future of customer success. The company’s Customer Cloud offers a set of solutions focused on customer success, product experience, revenue optimization, customer experience, and customer data, that together are designed to enable businesses…
Product Details
- About
- Tech Details
What is Acoustic Analytics?
Acoustic Analytics Technical Details
| Operating Systems | Unspecified |
|---|---|
| Mobile Application | No |
Comparisons
Compare with
Reviews and Ratings
(75)Attribute Ratings
Reviews
(1-5 of 5)Companies can't remove reviews or game the system. Here's why
February 20, 2019
Good Product
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.
- Simple implementation
- Better results
- Easy connectivity
- More knowledge sharing sessions
- UI/UX Improvements
- More tooltips on icons
- Positive: Faster solution
- Positive: Better prediction and service
- Positive: Secure and private
Cognos has exploration but it doesn't have much AI and ML functionality. Watson is much more helpful when it comes to customer experience analytics. Watson gives clarity into end-to-end journeys and effectiveness while also giving the ability to visualize the actual customer experience on digital channels. The macro to micro view gives both the what and the why behind performance. The insights can be used to optimize journeys, boost conversion, and maximize profitability.
Not Sure
- Product Usability
- Visualizing, integration, and retrieval of structured and unstructured data for better decisions in an intuitive natural language user interface.
- Creating the most effective targeted marketing campaigns and effective sales strategy by leveraging multiple sources of data from analyst reports, social data, blogs, reviews, and market research, and leveraging Watson’s user profiling, message resonance, and psycholinguistic capabilities.
- Leveraging forward-looking structured and unstructured data to enhance intelligent merchandising and management decisions related to product, pricing, and inventory management
IBM Watson is designed to support business uses across a broad range of industries and functional areas. Watson is not a silver bullet capable of answering every question. In general, the following problems are not appropriate for Watson:
- Complex mathematical computation. Watson can perform only very simple number calculations and comparisons.
- Predictive analysis. Watson Advisors cannot perform predictive analysis or predict the future, because it is designed to extract existing knowledge instead of creating new knowledge. It can only find candidate answers by comparing huge amounts of data and considering their statistical strength.
February 13, 2019
Automation is key
We use the commerce insights portion for automated merchandising on our websites
- 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
- Positive impact
- Increase in web sales
Added benefit
October 17, 2017
Practical CXA
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.
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.
- 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.
- The ROI question needs to be focused on clients and not our use internally. We leverage this as a platform for designing customer journeys for our clients.
- The ROI case is far easier to make for eCommerce operators. Customer journey failings can be easily quantified and seemingly simple issues can generate large ROI outcomes. For web assets without a trading bias, ROI can be established using notional value attribution. For example, a lead for motor insurance that is lost can be costed based on average policy value over a typical lifetime; struggle on a customer self-service portal can be quantified on the cost of handling through a call centre; etc.
The alternative products mentioned differ wildly.
Adobe Analytics is similar to IBM CXA although not as strong for transactional web assets (eStores). In keeping with IBM CXA, integration with Adobe's own suite of products is strong. However, in a heterogeneous environment, this integration does not count.
Lucky Orange is a low-cost tool that will facilitate session replay of individual customer journeys. This solution does not scale since no one is going to observe 1,000+ customer interactions to deduce issues or failings. This is not suitable for large web assets.
The main reason we chose to work with IBM CXA was the ability to cover analog and digital scenarios by leveraging UBX. This was a major reason for us in designing customer experiences since they are naturally a mix of these two domains.
Adobe Analytics is similar to IBM CXA although not as strong for transactional web assets (eStores). In keeping with IBM CXA, integration with Adobe's own suite of products is strong. However, in a heterogeneous environment, this integration does not count.
Lucky Orange is a low-cost tool that will facilitate session replay of individual customer journeys. This solution does not scale since no one is going to observe 1,000+ customer interactions to deduce issues or failings. This is not suitable for large web assets.
The main reason we chose to work with IBM CXA was the ability to cover analog and digital scenarios by leveraging UBX. This was a major reason for us in designing customer experiences since they are naturally a mix of these two domains.
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.
- People tend not to believe the ROI because it tends to be so quick.
- Fraud detection and forensics pays for the product.
- Web analytics tends to be better understood than customer experience managment.
- I have used the product to find and resolve issues in hours where teams have spends months and sometimes years to find.
100
The product touches almost every department in the organization
August 02, 2014
Highly suggested
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.
- Enables you to see the exact path and UI that the customer has taken.
- More attributes to filter by.
- Faster issues resolution