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Brief
SAS Customer Intelligence

SAS Customer Intelligence

Customer Data Platform & Marketing Analyticssas.com

SAS Customer Intelligence enables enterprise marketers to unify customer data and activate AI-driven personalization across every channel, combining best-in-class analytics with omnichannel journey orchestration.

Last updated Jun 25, 2026 by ATDb automated enrichment · Connections updated Jun 29, 2026

Founded
2000
HQ
Cary, North Carolina, United States
Parent
Connections
14

At a glance

Employees
10001+
Revenue
$3B+ (SAS Institute overall)
13integrations1corporate family

About

A leading enterprise marketing analytics and CDP platform known for deep AI and advanced analytics capabilities, competing in the upper tier of the marketing technology stack

SAS Customer Intelligence, anchored by its flagship SAS Customer Intelligence 360 suite, is a comprehensive marketing technology platform built on SAS's decades-long heritage in advanced analytics and AI. The platform enables enterprise organizations to unify customer data, orchestrate omnichannel marketing campaigns, and leverage predictive analytics to drive personalized customer experiences at scale. It combines customer data management, journey activation, and real-time decisioning into a single integrated solution designed for data-driven marketers. The product suite includes capabilities for digital intelligence, customer journey management, marketing automation, and AI-powered segmentation and targeting. SAS Customer Intelligence 360 is delivered as a cloud-native SaaS platform, allowing brands to collect and activate first-party data while maintaining compliance with evolving privacy regulations such as GDPR and CCPA. Its deep integration with the broader SAS analytics ecosystem gives it a distinctive edge in applying sophisticated statistical modeling and machine learning to marketing use cases. In the competitive marketing technology landscape, SAS Customer Intelligence competes with platforms such as Adobe Experience Cloud, Salesforce Marketing Cloud, and Oracle Marketing. Its primary differentiator is the depth of its native analytics and AI capabilities, which are embedded directly into the marketing workflow rather than bolted on. The platform is particularly well-suited for large enterprises in regulated industries such as financial services, retail, telecommunications, and healthcare that require robust data governance alongside marketing sophistication.

Business model

SaaS

Target market

Enterprise

What they offer

  • SAS Customer Intelligence 360

    Cloud-native omnichannel marketing platform for data collection, segmentation, journey orchestration, and AI-driven personalization

  • SAS 360 Discover

    Digital analytics and behavioral data collection module for understanding customer interactions across web and mobile

  • SAS 360 Engage

    Omnichannel campaign execution and journey activation module supporting email, web, mobile, and paid media

  • SAS 360 Match

    Identity resolution and customer data unification module for building unified customer profiles

  • SAS Real-Time Decision Manager

    Real-time AI decisioning engine for delivering next-best-action recommendations at the moment of customer interaction

  • SAS Intelligent Decisioning

    Business rules and AI model deployment platform for automating customer-facing decisions across channels

Key features

AI-powered customer segmentation and predictive modelingOmnichannel journey orchestration and automationReal-time decisioning and next-best-action recommendationsFirst-party data collection and unified customer profilesAdvanced analytics and machine learning embedded in marketing workflowsPrivacy-by-design data governance and consent managementBehavioral analytics and digital intelligencePre-built connectors for major marketing and data platforms

Use cases

Personalized omnichannel marketing campaign orchestrationReal-time next-best-action and next-best-offer decisioningCustomer churn prediction and retention marketingCustomer lifetime value modeling and segmentationConsent and privacy-compliant first-party data activationCross-sell and upsell optimization in financial services and retailTriggered event-based marketing automation

Customer segments

Financial services and bankingRetail and e-commerceTelecommunicationsHealthcare and life sciencesInsuranceTravel and hospitalityGovernment and public sector

Tech & specs

Technology stack

Cloud-native SaaS architectureSAS Viya analytics platformMachine learning and AI model operationalizationRESTful APIsReal-time streaming data processingJavaScript tag-based data collectionCloud deployment on major hyperscalers

Security & compliance

GDPRCCPASOC 2ISO 27001Privacy by Design

Deployment

CloudHybrid

API

Yes

Corporate history
  1. 2000 · Founded
Connection details
See integrations with SAS Customer Intelligence (13)

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