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IBM Watson Customer Experience Analytics vs SAS Customer Intelligence 360 comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

IBM Watson Customer Experie...
Average Rating
10.0
Reviews Sentiment
8.1
Number of Reviews
1
Ranking in other categories
Customer Data Analysis (4th), Customer Experience Management (14th), Web Analytics (20th)
SAS Customer Intelligence 360
Average Rating
8.2
Number of Reviews
6
Ranking in other categories
Marketing Resource Management (1st), Personalization Engines (2nd)
 

Mindshare comparison

While both are Marketing Applications solutions, they serve different purposes. IBM Watson Customer Experience Analytics is designed for Customer Data Analysis and holds a mindshare of 9.3%, down 14.6% compared to last year.
SAS Customer Intelligence 360, on the other hand, focuses on Marketing Resource Management, holds 6.8% mindshare, up 6.6% since last year.
Customer Data Analysis Mindshare Distribution
ProductMindshare (%)
IBM Watson Customer Experience Analytics9.3%
Amplitude11.1%
Glassbox8.9%
Other70.7%
Customer Data Analysis
Marketing Resource Management Mindshare Distribution
ProductMindshare (%)
SAS Customer Intelligence 3606.8%
Aprimo14.2%
BrandMaker9.9%
Other69.1%
Marketing Resource Management
 

Featured Reviews

MC
Techincal Pre-sales Specialist - Collaboration & Customer Engagement Solutions at GBM
Great granular DOM level with excellent analytics and reporting
There are three valuable areas: One of them is the granular DOM level where it captures behaviors on the application. Another is the analytics, because you don't need to provide it with a rule to identify the issues, it will analyze the usage of all the customers accessing that site and see if there are any abnormalities and it will identify unexpected changes in the pattern and that there is something wrong that needs to be checked out. That is extremely useful. Finally, the ability to create meaningful reports and dashboards to tell stories. The reports enable you to re-target customers if they've had any problems.
CI
Assistant Banking Officer at Zenith-bank
Customer screening has strengthened due diligence and now prevents fraud in onboarding
SAS Customer Intelligence 360 offers the best features, including a very broad database that serves to determine if customers are watchlisted. It provides the platform and room necessary for these purposes. It helps to know your customer and determine whether they have been watchlisted by other countries. It also provides more profiling information about whether this customer has been indicted by other organizations before. Regarding the broad database and customer profiling capabilities, SAS Customer Intelligence 360 is user-friendly. Once you log on with your username and ID, you can navigate to the options you want. There are many options available, including the watchlist option and audit features. You simply click on what you want and select the organizations you want to check to determine if this customer has been watchlisted. SAS Customer Intelligence 360 has positively impacted my organization by making our work process seamless, effective, and timely. It has helped us avoid and mitigate risk involving customer onboarding. Since using SAS Customer Intelligence 360, we have not had to assume any details during the onboarding process. You simply put the customer's name in the system, search it, and the system provides the search results immediately. Regarding SAS Customer Intelligence 360's AI capabilities, the governance and security of the platform is very enhanced, which is why most organizations use it to search customer details. The security details and everything about it are highly enhanced and private. The accuracy and reliability of output from SAS Customer Intelligence 360 is approximately ninety percent. While it is not without error, the search results are adequate and responsive.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"The ability to create meaningful reports and dashboards to tell stories."
"You can let your imagination think about a use case and if it's related to customer behavior on the district channels, it can most probably be done."
"SAS Customer Intelligence 360 is an affordable, AI-powered platform that transforms the entire customer engagement journey by delivering accurate analytics from past client behaviors, enabling personalized, mutually beneficial engagement, higher customer retention, and a more efficient, modern sales and marketing process."
"SAS Customer Intelligence 360 has positively impacted my organization very well, as times have been reduced and the number of acquired customers who want personal loans has increased."
"SAS Customer Intelligence 360 has positively impacted my organization by making our work process seamless, effective, and timely."
"SAS Customer Intelligence 360 unified offline branch interactions with digital portal activity and campaigns that were delivered, facilitating seamless real-time personalization across all customer touchpoints and driving approximately a 35% increase in qualified sales leads."
"SAS Customer Intelligence 360 has positively impacted my organization by improving time efficiency and also helping me, as a founder, to track what is going on with the clients, which I think was something important."
"I have seen measurable improvements since using SAS Customer Intelligence 360, as customer engagement rates increased by around 15 to 20 percent and conversion rates improved by approximately 10 to 15 percent for targeted campaigns."
 

Cons

"An area that can be improved is on the technical side where you identify an event."
"The technical side requires development skills during implementation. This could be simplified."
"SAS Customer Intelligence 360 is a strong platform, but there are a few areas where it could be improved."
"SAS Customer Intelligence 360 could be improved by adding other organizations to the watchlist."
"SAS Customer Intelligence 360 could be improved by enhancing the integration with other MarTech platforms, as the integration is somewhat difficult and may require significant IT knowledge and data engineering support, which I would consider drawbacks."
"SAS Customer Intelligence 360's initial implementation requires heavy involvement from enterprise data engineers, developers, and data scientists specialized in SAS platform administration, which is an area that needs improvement for a smoother initial setup process."
"I think SAS Customer Intelligence 360 could be improved because the interface can feel a bit heavy and not very intuitive for new users."
"There are a number of areas where SAS Customer Intelligence 360 can be improved, one of them is the initial setup process, as the platform is data-intensive and requires quite an investment in terms of infrastructure to support it, and that process is not easy."
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Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business5
Large Enterprise3
 

Questions from the Community

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What needs improvement with SAS Customer Intelligence 360?
SAS Customer Intelligence 360 could be improved by enhancing the integration with other MarTech platforms, as the integration is somewhat difficult and may require significant IT knowledge and data...
What is your primary use case for SAS Customer Intelligence 360?
My main use case for SAS Customer Intelligence 360 is orchestrating our customer data and personalization, as we are an agency. A specific example of how I use it for orchestrating customer data an...
What advice do you have for others considering SAS Customer Intelligence 360?
I rate SAS Customer Intelligence 360 an eight out of ten. I chose eight out of ten because the positive parts are much more important than the negative ones in this platform, as it is helping with ...
 

Also Known As

IBM Coremetrics Digital Marketing Optimization aSuite, IBM Tealeaf, IBM Coremetrics Web Analytics
SAS Marketing Operations Management, Assetlink, SAS 360 Engage
 

Overview

 

Sample Customers

IMM, Whogohost Ltd., Stonyfield, Grupo WTW, Big Scary Cranium, Brockenhurst College, SiteMinis, RCI Banque Espana
Amway China, DSW
Find out what your peers are saying about Amplitude, Glassbox, OpenText and others in Customer Data Analysis. Updated: August 2026.
909,099 professionals have used our research since 2012.