IBM SPSS Predictive Web Analytics vs IBM Watson Customer Experience Analytics comparison

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Featured Review
Use IBM SPSS Predictive Web Analytics?
Mouhanad Chebib
Ranking
8th
Views
45
Comparisons
27
Reviews
0
Average Words per Review
0
Rating
N/A
1st
Views
220
Comparisons
98
Reviews
0
Average Words per Review
0
Rating
N/A
Comparisons
Also Known As
SPSS Predictive Web Analytics
IBM Coremetrics Digital Marketing Optimization aSuite, IBM Tealeaf, IBM Coremetrics Web Analytics
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Overview
IBM SPSS Predictive Analytics Enterprise features descriptive and predictive analytics, data preparation and automation, and it provides analytics for structured and unstructured data from any source. The single solution enables you to apply statistical analysis, data mining, real-time scoring and decision management to human capital management, evidence-based medicine, crime prediction and prevention, supply chain analysis and more. It includes a deployment framework for integrating predictive intelligence with business rules and optimizing operational decisions.

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.

Sample Customers
LDB Group, RightShip, Tennessee Highway Patrol, Capgemini Consulting, TEAC Corporation, Ironside, nViso SA, Reiseburo Idealtours GmbH, Western Sydney University, Razorsight, Si.mobil
IMM, Whogohost Ltd., Stonyfield, Grupo WTW, Big Scary Cranium, Brockenhurst College, SiteMinis, RCI Banque Espana
Top Industries
No Data Available
VISITORS READING REVIEWS
University15%
Educational Organization13%
Insurance Company11%
Financial Services Firm11%
Company Size
No Data Available
VISITORS READING REVIEWS
Small Business21%
Midsize Enterprise17%
Large Enterprise62%

IBM SPSS Predictive Web Analytics is ranked 8th in Customer Data Analysis while IBM Watson Customer Experience Analytics is ranked 1st in Customer Data Analysis. IBM SPSS Predictive Web Analytics is rated 0.0, while IBM Watson Customer Experience Analytics is rated 10.0. On the other hand, the top reviewer of IBM Watson Customer Experience Analytics writes "Great granular DOM level with excellent analytics and reporting". IBM SPSS Predictive Web Analytics is most compared with , whereas IBM Watson Customer Experience Analytics is most compared with IBM Watson Commerce Insights and Anthology Engage.

See our list of best Customer Data Analysis vendors.

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