SAS^® for Customer Experience Analytics

SAS for Customer Experience Analytics translates Web site usage data into business context so you can discover how well your online experience is working from the customer's perspective. Features such as interactive reporting, behavioral analysis and detailed playback of customer interactions help you bring the online channel into your mainstream marketing activities.

In the Spotlight SAS expert featured on CNA TV, Singapore Customer Intelligence Global Strategist Jeff Gilleland explains the value of advanced customer analytics in this "Industry Watch" segment. (Requires Windows Media Player)

Benefits

• See a complete view of the customer. Combine disparate data sources within a pre-defined customer experience data model.
• Improve your multichannel contact strategy. Integrate the Web channel with campaign management, marketing optimization and real-time decision making products from SAS.
• Deliver better marketing performance. Use pre-built predictive models that give you a forward-looking view of your campaigns.
• Reduce your cost of ownership. Minimize maintenance costs and implementation efforts by using a single line of HTML code to dynamically collect all customer interaction data.

Features

• Open data model for immediate data analysis. All online data is housed in an open data model that promotes further data exploration and analysis. Pre-built data transformations further convert data into information that can be analyzed and reported on at a customer level.
• Self-service, Web-based reporting. Reporting is specifically designed for a wide range of users that want to view, interact, author and distribute both public and private reports.
• Component of the SAS^® Customer Intelligence suite. The solution fully integrates with the SAS Customer Intelligence suite so that you can easily have all of the tools you need to manage multichannel targeted marketing efforts within a unified environment.
• Built-in predictive models, forecasting and goal-seeking routines. Pre-built analytics help you project whether or not specific business goals will be met in the future. Goal-seeking capabilities let you determine the optimal levels needed for each driver that impacts a particular business goal.
• Dynamic data collection. All Web page information is dynamically captured and can be recorded. Privacy, security and data protection is rigorously managed, and industry-standard data encryption techniques are used.

How SAS is different

Only SAS delivers a complete solution for data collection, reporting and administration within one seamless package.

• Dynamic data collection technology that uses a one-line script allows you to avoid Web analytic tagging and quickly implement your analytic models.
• Captured data is transformed into business, process and customer-focused data, instead of merely being presented as page hits.
• SAS gives you the ability to get a multichannel understanding of your customers, allowing you to make better decisions about what campaigns should be offered to them.

For system requirements and additional information, download the SAS for Customer Experience Analytics fact sheet.