Campaign Management with SAS^® Marketing Automation

Features

Customer segmentation, profiling and testing

• Pick lists and histograms are used to create selection criteria.
• Multiselection nodes enable complex segment creation, but decrease diagram clutter.
• Filters for list creation are customizable.
• Test cells and other splits can be created using percentage, count and analytic techniques. Splits can include remainder rows.
• Any entity level (e.g., household, customer, account, business) within a campaign can be selected.
• Custom node creation easily extends standard capabilities so you can address all client segmentation, profiling and testing requirements.

Campaign planning, execution and management

• Campaign diagrams can be easily created, viewed and edited.
• Campaigns and campaign components can be shared and reused.
• Communications can be prioritized within and across campaigns.
• ROI estimation, break-even analysis, budget-to-actual comparison and what-if analysis can be configured at any level of the campaign structure.
• A Web-based user interface allows remote or distributed users to create and schedule end-to-end campaigns.
• In-line integration with SAS Digital Marketing provides personalized e-mail, SMS and RSS message creation, delivery and response management.
• In-line integration with SAS Marketing Optimization ensures the most optimal allocation of customers in marketing campaigns.
• Web site insights from SAS Web Analytics can be leveraged to drive future campaigns.

Campaign measurement and analysis

• Contact history can be recorded at any level (e.g., customer, account, household, business).
• A common reporting data model supports contact history, response history and performance analysis across all SAS Customer Intelligence solutions.
• Customer data can be quickly browsed and profiled for quality assurance.
• Complete table information can be viewed.
• A drag-and-drop interface helps you create entity relationship diagrams.
• All values for a categorical field can be listed.

Advanced analytics

• Drag-and-drop clustering is used for advanced segmentation and analysis.
• In-line visual analysis helps you refine campaign plans.
• Models from SAS Enterprise Miner™ can be registered and executed.
• Models, analyses and macros created in SAS Enterprise Guide® can be imported.
• Custom node creation easily extends the standard capabilities and supports all advanced analytical requirements.
• Groups may be split by deciles, quartiles and decimal percentages.
• SAS and SQL code can be easily incorporated into a graphically designed page.
• Model scores may be used just like any other data column.

Administration and security

• Administrator, group and user permissions may be set down to the row level.
• Administrative logs are created for troubleshooting and system maintenance activities.
• Multiple campaign-level templates can be created.
• Folders and other objects may be shared between user groups.
• User access may occur simultaneously.
• Multiple lines of business can be supported in the same environment. Product lines, customer segments and geographies can be managed independently while sharing the same system.
• Separate development, testing and production environments can be set up to build campaigns.

Flexible deployment options

• On-premise: Based on a client’s unique business challenges and enterprise goals, this solution is deployed on client site through tailored implementation services.
• Enterprise hosted: Based on a client’s unique business challenges and enterprise goals, this solution provides a tailored implementation that is hosted and managed by SAS OnDemand.
• Software as a service (SaaS): The quickest deployment option for clients, SaaS leverages a pre-packaged and standardized approach to jumpstart clients on a quick time to value. This option is also hosted and managed by SAS OnDemand.