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Customer Relationship Management & Database Marketing Certification - Outline

Day 1 | Day 2

Day 1: 9:00 A.M. - 5:00 P.M.
Please arrive 30 minutes earlier than the start time to register.

Database Marketing: An Introduction and Strategic Overview

  • What is database marketing? How is it different from direct marketing and CRM?
  • What are the key benefits?
  • Is database marketing likely to succeed in your industry?
  • What are the key phases of database marketing?

The Role of Strategy and Planning

  • Conduct situation analysis including resource assessment and market factors
  • Set quantifiable marketing objectives
  • Develop long-term strategy for reaching the marketing objectives
  • Establish marketing programs for pricing, promotion, product and placement
  • Create methods to test, track, and compare performance to objectives

Building the Foundation: A Marketing Database

  • Test your knowledge: What are the different types of marketing databases?
  • What are the key components of a marketing database?
  • Learn about the different types of available data and sources
  • Know the sources of data that can enhance your marketing database
  • Clearing up confusion about Customer Data Integration (CDI)
  • Define and explain the importance of CDI
  • Understand the value of data marts
  • Find out the key processes in database development
  • Learn about key considerations in building marketing database capabilities
  • Management decisions such as in-house vs. outsourcing
  • Technical issues such as database models, application software, and platform choices
  • Eye-opening examples

Tapping into the Database with Effective Reporting, Profiling and Business Intelligence

  • The role of business intelligence in database marketing
  • Test your knowledge: What is the difference between reports, queries, OLAP, BI, dashboards and “What If” scenarios
  • Everyday applications of profiling 
  • Understand the building block: Recency, Frequency, Monetary Analysis (RFM)

Mining the Database with Advanced Analytics
 Overview

  • What is data mining?
  • What are the most frequently used data mining techniques?
  • Test your Knowledge: Statistical vs. Artificial Intelligence Techniques
  • How others are applying data mining to solve problems

 Using Predictive Modeling to Enhance Targeted Marketing

  • Basic principles of predictive modeling
  • Most frequently used types of models
  • Key steps in model development
  • What marketers need to know about modeling
  • Comparison of modeling techniques and which to use when: Regression vs. Neural Networks
  • Compute the ROI on a predictive model
  • Everyday applications of predictive modeling

 Learning Classification Techniques to Leverage Marketing Opportunities

  • A simple way to think about classification and CHAID
  • Compare CHAID to regression-based approaches
  • Examples and applications

Day 2: 9:00 A.M. - 5:00 P.M.

Mining the Database with Advanced Analytics (cont'd.)

 Applying Segmentation for Enhancing Relevance and Personalization

  • Basic concepts and types of segmentation
  • What are the different types of segmentation
  • What and why do marketers segment?
  • Why do marketers segment?
  • How to create segments using Cluster Analysis
  • The role of the marketer in developing a segmentation scheme
  • Real world applications: Strategic customer segmentation using Cluster Analysis

 Using Association and Sequences for Optimizing Bundles, Offers and Placement

  • Basic concepts underlying Association and Sequence Analysis
  • Frequently used applications: Market basket analysis/product affinity analysis
  • The most important things to understand about product affinity analysis
  • How measuring product affinity can pay off later
  • Real-life success stories

 Leveraging Customer Lifetime Value for Driving Strategic Decisions

  • What the fuss about Customer Lifetime Value is all about?
  • How do you estimate it?
  • Understand the different types of Customer Lifetime Value – before you jump in
  • Improve your decision-making using Customer Lifetime Value
  • Make accurate predictions about business growth
  • How to apply Customer Lifetime Value in your business?
  • Examples and applications

Managing Campaigns and Contact Strategies

  • What you may not understand about contact strategy
  • Why segment, target and manage contact strategies?
  • Multi-step targeting: Making it work
  • Multichannel integration: The wave of the future
  • The secrets of contact strategy optimization
  • Steps to effective campaign management

The Internet and Database Marketing

  • The role of the internet in database marketing
  • The relationship between the Internet and other database marketing media
  • The promise of personalization
  • What types of data can be collected from the web?

Putting It All Together

  • Dive deep into effective database marketing: The benefits, costs, trends, issues, and success factors


* Outline is subject to change.

 

 

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DMA Member: $1,399
Non-Member: $1,699

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