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TURNING MARKETING INFORMATION INTO ACTION

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Presentation on theme: "TURNING MARKETING INFORMATION INTO ACTION"— Presentation transcript:

1 TURNING MARKETING INFORMATION INTO ACTION
CHAPTER 8 TURNING MARKETING INFORMATION INTO ACTION

2 Five-step marketing research approach leading to marketing actions

3 STEP 1: DEFINE THE PROBLEM
Set the Research Objectives Identify Possible Marketing Actions Measures of success

4 STEP 2: DEVELOP THE RESEARCH PLAN
Specify Constraints Identify Data needed for Marketing Actions Determine How to Collect Data Concepts Methods Probability sampling Nonprobability sampling Statistical inference

5 Types of Marketing Information
STEP 3: COLLECT RELEVANT INFORMATION Types of Marketing Information

6 STEP 3: COLLECT RELEVANT INFORMATION
Secondary Data Internal Secondary Data External Secondary Data Primary Data Observational Data Questionnaire Data Panels and Experiments Advantages and Disadvantages

7 Example: Nielsen//NetRatings of the top 10 Internet Websites

8 STEP 3: COLLECT RELEVANT INFORMATION
Using Information Technology to Trigger Marketing Actions The Marketing Manager’s View of Sales “Drivers” Key Elements of an Information System The Challenge in Mining Marketing Data Data Mining: Approach to Searching the Data Ocean

9 STEP 4: DEVELOP FINDINGS
Analyze the Data Present the Findings

10 Converting data into marketing actions: What to do about supermarket chains . . .

11 STEP 5: TAKE MARKETING ACTIONS
Identify the Action Recommendations Implement the Action Recommendations Evaluate the Results

12 MARKET AND SALES FORECASTING
Basic Forecasting Terms Market or Industry Potential Sales or Company Forecast Two Basic Approaches to Forecasting Top-Down Forecast Buildup Forecast

13 Buildup approach to a two-quarter sales forecast for Apple Computer products

14 MARKET AND SALES FORECASTING
Specific Sales Forecasting Techniques Judgments of the Decision Maker Direct forecast Lost-horse forecast Surveys of Knowledgeable Groups Survey of buyers’ intentions forecast Salesforce survey forecast Jury of executive opinion forecast Survey of experts forecast Statistical Methods Trend extrapolatioN

15 Linear trend extrapolation of sales revenues of Xerox . . . 1999


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