This course provides an overview of SAS Real-Time Decision Manager 6.5 and prepares you to construct inbound marketing decisions using the solution.

Learn how to

• navigate the SAS Real-Time Decision Manager interface
• create campaigns and diagrams using SAS Real-Time Decision Manager
• create treatments
• arbitrate treatments
• create history campaigns
• test and validate campaigns
• mark campaigns for deployment.

Who should attend

Anyone responsible for designing, implementing, and testing marketing campaigns using SAS Real-Time Decision Manager

Formats available	Standard Duration
Classroom:	2.5 days
Live Web Classroom:	5 half-day session(s)	System Requirements
e-Learning:	17.5 hours/180 day license	System Requirements

There are no formal prerequisites for this course. Before attending this course, you should have basic skills using a web browser and software based on the Windows environment, and be familiar with business issues and processes for interactive marketing campaigns.

This course addresses SAS Customer Intelligence Tools, SAS Real-Time Decision Manager software.

Introduction to SAS Real-Time Decision Manager

• introduction
• creating and implementing campaigns
• working in SAS Customer Intelligence Studio
• inbound campaign basics

Campaign Fundamentals and Basic Nodes

• the Start and Reply nodes
• the Process and Business Rules node
• the Filter node
• the Branch node
• assigning treatments
• assigning reply variable values

Advanced Nodes

• the A/B Test node
• calculated variables and the Assignment node
• the Cross Table node
• the Subdiagram node
• the Stage node

Creating Treatments

• creating treatments
• inbound contact rules
• dynamic treatment custom details
• updating treatments

Treatment Eligibility and Arbitration

• treatment eligibility
• treatment arbitration using sorting
• treatment arbitration using self-learner processes

Decision Treatment Campaigns and Campaign Sets

• overview of decision campaigns, decision treatment campaigns, and decision treatment campaign sets
• creating decision treatment campaigns
• creating and using decision treatment campaign sets

Finalizing a Campaign

• validation and testing
• documenting and marking for deployment

History Campaigns

• introduction to the common data model
• capturing campaign history data