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Session 2 Marketing Research Forecasting Developing the research plan Data Sources Primary Secondary.

Jan 03, 2016

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Page 1: Session 2  Marketing Research  Forecasting Developing the research plan  Data Sources  Primary  Secondary.
Page 2: Session 2  Marketing Research  Forecasting Developing the research plan  Data Sources  Primary  Secondary.

Session 2

Marketing Research Forecasting

Page 3: Session 2  Marketing Research  Forecasting Developing the research plan  Data Sources  Primary  Secondary.
Page 4: Session 2  Marketing Research  Forecasting Developing the research plan  Data Sources  Primary  Secondary.

Developing the research plan Data Sources

Primary Secondary

Page 5: Session 2  Marketing Research  Forecasting Developing the research plan  Data Sources  Primary  Secondary.

Developing the research plan Approaches

Observational Focus group Survey Behavioral Data Experimental Technological Questionnaire

Page 6: Session 2  Marketing Research  Forecasting Developing the research plan  Data Sources  Primary  Secondary.

Question types – importance scale

Airline food service is _____ to me.

Extremely important

Very important

Somewhat important

Not very important

Not at all important

Page 7: Session 2  Marketing Research  Forecasting Developing the research plan  Data Sources  Primary  Secondary.

Question types – rating scale

Virgin Atlantic’s food service is _____.

Excellent

Very good

Good

Fair

Poor

Page 8: Session 2  Marketing Research  Forecasting Developing the research plan  Data Sources  Primary  Secondary.

Question types –intention to buy scale

How likely are you to purchase tickets on Virgin Atlantic if in-flight Internet access were available?

Definitely buy

Probably buy

Not sure

Probably not buy

Definitely not buy

Page 9: Session 2  Marketing Research  Forecasting Developing the research plan  Data Sources  Primary  Secondary.

Question types –completely unstructured

What is your opinion of Virgin Atlantic?

Page 10: Session 2  Marketing Research  Forecasting Developing the research plan  Data Sources  Primary  Secondary.

Question types –word association

What is the first word that comes to your mind when you hear the following?

Airline ________________________

British _____________________

Travel ________________________

Page 11: Session 2  Marketing Research  Forecasting Developing the research plan  Data Sources  Primary  Secondary.

Question types –sentence completion

When I choose an airline, the most important consideration in my decision is: ________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________.

Page 12: Session 2  Marketing Research  Forecasting Developing the research plan  Data Sources  Primary  Secondary.

Question types –story completion

‘I flew Virgin a few days ago. I noticed that the exterior and interior of the plane had very bright colors. This aroused in me the following thoughts and feelings’. Now complete the story. __________________________________________________________________________________________________________________________________________________________________________________________________________________________________________

Page 13: Session 2  Marketing Research  Forecasting Developing the research plan  Data Sources  Primary  Secondary.

Question types –picture (empty balloons)

Page 14: Session 2  Marketing Research  Forecasting Developing the research plan  Data Sources  Primary  Secondary.

Qualitative measures

Word associationWord association

Projective techniquesProjective techniques

VisualizationVisualization

Brand personificationBrand personification

LadderingLaddering

Page 15: Session 2  Marketing Research  Forecasting Developing the research plan  Data Sources  Primary  Secondary.

Technological devices

Galvanometers

Tachistoscope

Eye cameras

Audiometers

GPS

Page 16: Session 2  Marketing Research  Forecasting Developing the research plan  Data Sources  Primary  Secondary.

Sampling plan

Sampling unit: Who is to be surveyed? Sample size: How many people should

be surveyed? Sampling procedure: How should the

respondents be chosen?

Page 17: Session 2  Marketing Research  Forecasting Developing the research plan  Data Sources  Primary  Secondary.

Types of samples

Table 6.2 Probability and non-probability samples

Page 18: Session 2  Marketing Research  Forecasting Developing the research plan  Data Sources  Primary  Secondary.

Contact methods

Mail questionnaire

Telephoneinterview

Personalinterview

Onlineinterview

Page 19: Session 2  Marketing Research  Forecasting Developing the research plan  Data Sources  Primary  Secondary.

Pros and cons of online research

Advantages Inexpensive Fast Accuracy of data,

even for sensitive questions

Versatility

Disadvantages Small samples Skewed samples Technological

problems Inconsistencies

Page 20: Session 2  Marketing Research  Forecasting Developing the research plan  Data Sources  Primary  Secondary.

1) Scientific method

2) Research creativity

3) Multiple methods

4) Interdependence of models and data

5) Value and cost of information

6) Healthy scepticism

7) Ethical marketing

Characteristics of good marketing research

Page 21: Session 2  Marketing Research  Forecasting Developing the research plan  Data Sources  Primary  Secondary.

Barriers to the use of marketing research

Narrow conception of research

Uneven calibre of researchers

Poor framing of the problem

Late and occasionally erroneous findings

Personality and presentational differences

Page 22: Session 2  Marketing Research  Forecasting Developing the research plan  Data Sources  Primary  Secondary.
Page 23: Session 2  Marketing Research  Forecasting Developing the research plan  Data Sources  Primary  Secondary.

Slide 15.23

Kotler, Keller, Brady, Goodman and Hansen, Marketing Management, 1st Edition © Pearson Education Limited 2009

The measures of market demand

Page 24: Session 2  Marketing Research  Forecasting Developing the research plan  Data Sources  Primary  Secondary.

Slide 15.24

Kotler, Keller, Brady, Goodman and Hansen, Marketing Management, 1st Edition © Pearson Education Limited 2009

Market demand = total volume that would be bought by a customer group, in a particular time period, in a marketing environment, under marketing program

Market forecast = market demand corresponding to a certain level of marketing expenditure

Primary demand = total volume demanded by customers for a product category

Secondary demand = total volume demanded by customers for a specific brand or product

Page 25: Session 2  Marketing Research  Forecasting Developing the research plan  Data Sources  Primary  Secondary.

Slide 15.25

Kotler, Keller, Brady, Goodman and Hansen, Marketing Management, 1st Edition © Pearson Education Limited 2009

Figure 6.4 Market demand functions

Page 26: Session 2  Marketing Research  Forecasting Developing the research plan  Data Sources  Primary  Secondary.

Slide 15.26

Kotler, Keller, Brady, Goodman and Hansen, Marketing Management, 1st Edition © Pearson Education Limited 2009

Figure 6.4 Market demand functions (continued)

Page 27: Session 2  Marketing Research  Forecasting Developing the research plan  Data Sources  Primary  Secondary.

Slide 15.27

Kotler, Keller, Brady, Goodman and Hansen, Marketing Management, 1st Edition © Pearson Education Limited 2009

Unit vs. Dollar Share in USRazor Blades

Page 28: Session 2  Marketing Research  Forecasting Developing the research plan  Data Sources  Primary  Secondary.

Slide 15.28

Kotler, Keller, Brady, Goodman and Hansen, Marketing Management, 1st Edition © Pearson Education Limited 2009

How can we estimate current demand?

Total market potential

Area market potential Market buildup method

Potential buyers x potential purchases Multiple-factor index method

Population, Income, Physicians, Retail sales

Page 29: Session 2  Marketing Research  Forecasting Developing the research plan  Data Sources  Primary  Secondary.

Slide 15.29

Kotler, Keller, Brady, Goodman and Hansen, Marketing Management, 1st Edition © Pearson Education Limited 2009

Sales Forecasting vs. Demand Forecasting

Basically interchangeable terms Sales Forecasts are biased by:

Inventory stock-out (under-estimation of demand)

Promotions (over-estimation of demand)

Page 30: Session 2  Marketing Research  Forecasting Developing the research plan  Data Sources  Primary  Secondary.

Slide 15.30

Kotler, Keller, Brady, Goodman and Hansen, Marketing Management, 1st Edition © Pearson Education Limited 2009

Demand Forecasting Model

Page 31: Session 2  Marketing Research  Forecasting Developing the research plan  Data Sources  Primary  Secondary.

Slide 15.31

Kotler, Keller, Brady, Goodman and Hansen, Marketing Management, 1st Edition © Pearson Education Limited 2009

Page 32: Session 2  Marketing Research  Forecasting Developing the research plan  Data Sources  Primary  Secondary.

Slide 15.32

Kotler, Keller, Brady, Goodman and Hansen, Marketing Management, 1st Edition © Pearson Education Limited 2009

Mathematical

Time Series Exponential Smoothing Statistical Demand Analysis Econometric Analysis

Page 33: Session 2  Marketing Research  Forecasting Developing the research plan  Data Sources  Primary  Secondary.

Slide 15.33

Kotler, Keller, Brady, Goodman and Hansen, Marketing Management, 1st Edition © Pearson Education Limited 2009

Qualitative Adjustments

Price Promotions, Events Trends Growth Rates Market Data

Page 34: Session 2  Marketing Research  Forecasting Developing the research plan  Data Sources  Primary  Secondary.

Slide 15.34

Kotler, Keller, Brady, Goodman and Hansen, Marketing Management, 1st Edition © Pearson Education Limited 2009

Non-mathmatical

Group discussion (Consensus) Pooled individual estimates Delphi technique Jury of executive opinion Composite of sales force opinion

(Rollup) Analogy

Customer surveys Test marketing

Page 35: Session 2  Marketing Research  Forecasting Developing the research plan  Data Sources  Primary  Secondary.

Slide 15.35

Kotler, Keller, Brady, Goodman and Hansen, Marketing Management, 1st Edition © Pearson Education Limited 2009

Page 36: Session 2  Marketing Research  Forecasting Developing the research plan  Data Sources  Primary  Secondary.

Slide 15.36

Kotler, Keller, Brady, Goodman and Hansen, Marketing Management, 1st Edition © Pearson Education Limited 2009

Page 37: Session 2  Marketing Research  Forecasting Developing the research plan  Data Sources  Primary  Secondary.

Slide 15.37

Kotler, Keller, Brady, Goodman and Hansen, Marketing Management, 1st Edition © Pearson Education Limited 2009

Page 38: Session 2  Marketing Research  Forecasting Developing the research plan  Data Sources  Primary  Secondary.

Slide 15.38

Kotler, Keller, Brady, Goodman and Hansen, Marketing Management, 1st Edition © Pearson Education Limited 2009

Look for S Curves Inflection points 20 years: “Never mistake a clear

view for a short distance” Look for indicators

“The future’s already arrived. It’s just not evenly distributed yet.” William Gibson

Black Swans What do we really know? Turkey example. Open Minded, Skeptical, History Jumps

Page 39: Session 2  Marketing Research  Forecasting Developing the research plan  Data Sources  Primary  Secondary.

Slide 15.39

Kotler, Keller, Brady, Goodman and Hansen, Marketing Management, 1st Edition © Pearson Education Limited 2009

Black Swan

member of the species Cygnus atratus, which remained

undocumented until the eighteenth century

Page 40: Session 2  Marketing Research  Forecasting Developing the research plan  Data Sources  Primary  Secondary.

Slide 15.40

Kotler, Keller, Brady, Goodman and Hansen, Marketing Management, 1st Edition © Pearson Education Limited 2009

Taleb – The Black Swan

Mediorcistan vs. Extermistan Average (weight vs. income) of 1000 ppl.

Mistake map for territory Platonification – overvaluation of factual

information and creation of categories “absence of evidence vs. evidence of

absence” Precisely wrong (narrow model with

precise assumptions) or broadly right (across broad set of eventualities)