SAS Customer Intelligence Software


SAS Customer Intelligence is an integrated marketing management suite for midsize businesses and enterprises across a wide range of both B2C and B2B industries. It leverages SAS’s position as a leading provider of business intelligence software to combine multichannel campaign management, marketing resource management and marketing performance management with strong data management and a wide range of analytics capabilities.

SAS’s Customer Link Analytics enables businesses to identify their customers' social communities and the roles that individual customers play in those communities. This allows marketers to improve campaign effectiveness by better targeting prospects and retaining high-value customers. Other analytics modules, including SAS Marketing Optimization and SAS Profitability Management, help marketers allocate costs and understand how their business constraints impact revenue.

In addition, SAS Customer Intelligence was positioned as a Leader in the 2014 Gartner Magic Quadrant for Integrated Marketing Management and the 2014 Gartner Magic Quadrant for Multichannel Campaign Management.


SAS Customer Intelligence - Decision tree analytics
  • SAS Customer Intelligence - Decision tree analytics
    Decision tree analytics
  • SAS Customer Intelligence - Marketing analytics
    Marketing analytics
  • SAS Customer Intelligence - Calendars
  • SAS Customer Intelligence - Decision managers
    Decision managers
  • SAS Customer Intelligence - Offer optimization
    Offer optimization
  • SAS Customer Intelligence - Sensitivity analysis
    Sensitivity analysis
Supported Operating System(s):
Windows 7, Windows Vista, Windows XP, Web browser (OS agnostic), Windows 2000, Windows 8

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Seddik from EPAC Technologies
Specialty: Software / IT
Number of employees: 51-200 employees Employees number: 51-200 employees

March 2018

March 2018

SAS Customer Intelligence



Product Quality

Customer Support

•Open data model
•Dynamic data collection
•Post-data-collection contextualization
•Anonymous behavior capture
•Predictive models, forecasting and goal-seeking routines
•Dynamic content placement


Pricy for medium and small firms.
Tough to learn.
Not user friendly.
Can have better visualizations.

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