IBM Watson Customer Experience Analytics vs SAS Marketing Automation comparison

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Featured Review
Mouhanad Chebib
Trini Olivan
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."

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"You can enable it for business users or marketing users to use it in a self-service way. So, the technical team is needed to build the features or processes, and then those processes can be used in a self-service way by your non-technical users.""SAP Marketing Automation is user-friendly. The interface is nice and clear. You can see the different diagrams and define various filters and targets. You can also export the customer information you collect to make the campaign. It's easy to understand how this information is entered. There are also a lot of platforms that show the results of campaigns. You can customize your data and define different reports, but SAS also provides a standard report."

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Cons
"The technical side requires development skills during implementation. This could be simplified."

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"The product is highly customizable, but the marketing and business teams want a lot of things to be built out of the box. A lot of features that could be out of the box aren't there. The main concern is to keep the system in such a way that it provides you with some out-of-the-box features and some customizable features as well.""You need to buy connectors to integrate Marketing Automation with various suppliers. For example, if I want to see the data through Power BI, I need a connector to see the data directly. Otherwise, you need to do everything manually. You have to download information from SAS and then save a text file, and then I can import it into Power BI. I would like Marketing Automation to have this native functionality without the need to pay more for connectors."

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Pricing and Cost Advice
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  • "I'm not aware of the full cost. The financials are not with me. In terms of additional costs, there are always OpEx and CapEx. That's one way to look at it. You also need separate hardware to deploy the product."
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    Top Answer:You can enable it for business users or marketing users to use it in a self-service way. So, the technical team is needed to build the features or processes, and then those processes can be used in a… more »
    Top Answer:The product is highly customizable, but the marketing and business teams want a lot of things to be built out of the box. A lot of features that could be out of the box aren't there. The main concern… more »
    Top Answer:I'm using it for micro-segmentation-based campaigns and inbound and outbound campaigns. I'm using its latest on-prem version.
    Ranking
    1st
    Views
    218
    Comparisons
    96
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    7th
    Views
    373
    Comparisons
    314
    Reviews
    2
    Average Words per Review
    614
    Rating
    7.5
    Comparisons
    Also Known As
    IBM Coremetrics Digital Marketing Optimization aSuite, IBM Tealeaf, IBM Coremetrics Web Analytics
    SAS Campaign Management
    Learn More
    Overview

    IBM Watson Customer Experience Analytics is a powerful tool that enables organizations to gain deep insights into customer behavior and preferences. Its primary use case is to analyze customer interactions across various touchpoints, such as websites, mobile apps, and social media platforms.

    The most valuable functionality of Watson Customer Experience Analytics is its ability to provide a holistic view of the customer journey. It combines data from multiple sources, including clickstream data, customer feedback, and sentiment analysis, to deliver comprehensive insights. This allows organizations to understand the entire customer experience, identify pain points, and make data-driven decisions to improve customer satisfaction.

    By leveraging advanced analytics and AI capabilities, Watson Customer Experience Analytics helps organizations uncover hidden patterns and trends in customer behavior. It provides actionable insights that enable businesses to optimize their marketing strategies, personalize customer experiences, and enhance overall customer satisfaction.

    Furthermore, this tool helps organizations identify opportunities for cross-selling and upselling by understanding customer preferences and purchase patterns. It also enables businesses to proactively address customer issues and reduce churn by identifying dissatisfied customers and resolving their concerns promptly.

    SAS Marketing Automation lets you get more campaigns out the door in an automated, trackable and highly repeatable fashion. You can quickly define target segments, prioritize selection rules, select communication channels, schedule and execute campaigns, analyze campaign results and easily make adjustments to improve future campaign performance.

    Sample Customers
    IMM, Whogohost Ltd., Stonyfield, Grupo WTW, Big Scary Cranium, Brockenhurst College, SiteMinis, RCI Banque Espana
    Staples
    Top Industries
    No Data Available
    VISITORS READING REVIEWS
    Financial Services Firm29%
    Computer Software Company17%
    Comms Service Provider10%
    Insurance Company7%
    Company Size
    No Data Available
    VISITORS READING REVIEWS
    Small Business28%
    Midsize Enterprise11%
    Large Enterprise62%

    IBM Watson Customer Experience Analytics is ranked 1st in Customer Data Analysis while SAS Marketing Automation is ranked 7th in Marketing Automation with 2 reviews. IBM Watson Customer Experience Analytics is rated 10.0, while SAS Marketing Automation is rated 7.6. The top reviewer of IBM Watson Customer Experience Analytics writes "Great granular DOM level with excellent analytics and reporting". On the other hand, the top reviewer of SAS Marketing Automation writes "It's good at visualizing large amounts of data ". IBM Watson Customer Experience Analytics is most compared with IBM Watson Commerce Insights and Anthology Engage, whereas SAS Marketing Automation is most compared with Salesforce Marketing Cloud, SAP CRM and Siebel Marketing Resource Management.

    We monitor all Customer Data Analysis reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.