Embedded Customer Analytics

Develop better customer insights using AI and machine learning.

How SAS® Delivers Embedded Customer Analytics

Make better decisions, take action quickly and derive value faster with embedded customer analytics that delivers out-of-the-box insights.

Automated discovery

Automatically discover better options using SAS Customer Intelligence 360 to look for common attributes among customer data. This "do it for me" approach can, for example, help you discover a segment and find an alternate variant that performs better for that segment than the winning variant.

Testing, experimentation & recommendation engines

Test activity paths for web and mobile content across experiment methodologies, such as A/B/n testing, multi-armed bandit testing and multivariate testing. Out-of-the-box analytical automation supports the your desired agility for your optimization efforts. Product recommendations for a user are generated by analyzing navigational and behavior patterns to estimate preferences for products. Recommendations are then delivered using collaborative filtering.

Algorithmic & rules-based attribution

Analyze the impact and business value of all company-generated marketing interactions across the complex customer journey. Marketers can make strategic decisions about future investment levels, as well as more tactical decisions about what activities to run.

Why SAS® for embedded customer analytics?

Use better analytics that relies on better data

Acting on analytic suggestions inside marketing can be difficult without analytics-ready data sets. The open, configurable data model that underpins SAS marketing solutions contains a hierarchy of granular data, starting at the individual interaction and moving to the creation of complete customer profiles.

Uncover business challenges & facilitate shared knowledge

Most marketing solutions today require you to configure reports and dashboards before you can glean insights. SAS provides many out-of-the-box reports that require no data manipulation. Understanding both your business challenges and customer activity has never been easier.

Operationalize advanced analytics inside marketing

Creating models in development environments is simple. Putting those models to work to answer conversion, retention and loyalty questions is much more difficult. Solutions like SAS Visual Data Mining and Machine Learning provide data scientists with a variety of AI and machine learning techniques for use in marketing activities.

Iterate and improve your marketing analytics

Marketers want new technologies at their fingertips. With SAS Continuous Delivery, improvements and enhancements are provided as soon as they're available, not once or twice a year. As a result, you can react to the digital transformation challenges of today at the speed of digital.

Customers Reimagining Marketing With SAS®

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