This course shows you how to design and execute marketing campaigns using SAS Customer Intelligence Studio 6.6. Specifically, you learn how to create a campaign, work with nodes to define the campaign audience, set up a Communication node, assign offers to groups, and schedule and execute a campaign. The course also addresses how to create different types of subgroups when you create the target population, set up A/B tests, and work with groups that have different subjects.

The self-study e-learning includes:

• Annotatable course notes in PDF format.
• Virtual lab time to practice.

Learn how to

• Use SAS Customer Intelligence Studio.
• Define the target groups and subgroups for a marketing campaign.
• Set up holdout control groups.
• Schedule and execute campaigns.
• Generate and view export files and reports.
• Manage and monitor campaigns.

Who should attend

Users of SAS Marketing Automation who want to learn how to use SAS Customer Intelligence Studio to create marketing campaigns

Formats available	Standard duration
Live Web Classroom:	3 half-day session(s)	System Requirements
e-Learning:	10.5 hours/180 day license	System Requirements

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

This course addresses SAS Customer Intelligence Tools, SAS Marketing Automation software.

Introduction

• Course overview.
• SAS Marketing Automation overview.

Specifying the Campaign Audience

• Creating a new campaign.
• Defining the target audience.
• Using cells.
• Creating a calculated data item (self-study).

Executing and Evaluating Campaigns

• Choosing a communication channel.
• Assigning an offer.
• Scheduling and executing a campaign.
• Monitoring responses.

Defining and Comparing Groups

• Creating subgroups using the Split node.
• Testing competing offers.
• Prioritization.

Working with Subjects

• Introduction to subjects.
• Data-item-subject relationships.

Reports and Custom Tasks

• Creating documents.
• Creating SAS Visual Analytics reports and other reports.
• Report linking.
• Executing custom tasks.