chapter Q&A

Rock1027
02_Chapter02.pptx

2. Secondary Data

CONTENT

Need for research

Secondary vs. Primary Data

Applications of Standardized Information

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Need for Research

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When is marketing research not needed?

Information already available

Costs > benefits

Lack of time & resources

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Secondary Versus Primary Data

Secondary data

Existing data

Developed or gathered by someone other than the researcher and/or for some purpose other than the research project at hand

Databases

Primary data

New data

Developed or gathered by the researcher specifically for the research project at hand

Focus group/survey

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Uses of Secondary Data

Sometimes the entire research project may depend on the use of secondary data.

Explore changes in trend and life style or opportunities

Market size

Growth rate

etc.

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An Example of Secondary Data

Source: A Summary of the 2010 Census, City of Hayward, CA

Assume your target market is 35 to 54-year-olds, do you want to run your business in Hayward?

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Classification of Secondary Data

Internal secondary data

Data that have been collected within the firm, such as sales records, customer information.

Research on existing customers

New offers

Loyalty/satisfaction

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Classification of Secondary Data

External secondary data

Data supplied by firms/agencies outside a company

Research on new customers/market

Published

Overview of industry and/or demographics

Available in libraries

http :// sju.v1.libguides.com/marketing

Government agencies

US Census bureau

Syndicated services data

More specialized, not available in libraries

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Figure 2.1 Sources of secondary data

Source: Adapted from Aaker, Kumar and Day (1998)

Internet

(electronic)

Printed

Private market research firms

(e.g. Euromonitor))

Governments

Industry associations

Trade magazines / journals

Article databases (e.g. Proquest)

Websites of competitors

Firms’ annual reports

Newspaper

Books

Standardized

sources of marketing

data

Consumer purchase panels

Nielsen’s Television Index

Web-traffic (monitoring

traffic on Web-sites)

Primary

data sources

Data sources

Secondary

data sources

External

data sources

Published data

Data collection with a specific

purpose in mind -

typical personal interviews

Internal

data sources

Sales reports

Marketing activities

Cost information

Sales force feedback

Sales reps’ reports

Advantages of Secondary Data

Obtained quickly

Inexpensive relative to primary data

Usually available

Only option

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Disadvantages of Secondary Data

Incompatible reporting units

Measurement units do not match

Class definitions are not usable

Data are outdated

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Application of Standardized Information

Measuring Consumer Attitudes and Opinion Polls

http://www.gallup.com/poll/101905/gallup-poll.aspx

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Application of Standardized Information (Cont’)

Defining Market Segments

http:// www.strategicbusinessinsights.com/vals/ustypes.shtml

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Application of Standardized Information (Cont’)

Conducting Market Tracking

Nielsen Scantrack

http://www.nielsen.com/us/en/solutions/measurement/retail-measurement.html

Nielsen/IRI Homescan

https://www.homescan.com/homescan/US/EN/Login.htm

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Application of Standardized Information (Cont’)

Monitoring Media Usage and Promotional Effectiveness

Nielsen TV ratings

http://www.nielsen.com/us/en/solutions/measurement/television.html

Nielsen website ratings

http://www.nielsen.com/us/en/solutions/measurement/online.html

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Market Potential Analysis

BDI – Brand Development Index

Indicator of brand sales potential

How well a brand is doing in a specific market relative to the population size of that market

The relative strength and weakness for the brand in each market

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Example

Percentage of total US sales for Bud Light in Seattle: 1.40

Percentage of total US population in Seattle: 1.20

Bud Light’s BDI in Seattle

(1.40/1.20) x 100 = 117

Bud Light sales in Seattle are 17% above what would be expected given the population in the area

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Percentage of brand to total (U.S.) sales in market

Percentage of total (U.S.) population in market

BDI =

X 100

Brand Development Index

Market Potential Analysis (Cont)

CDI – Category Development Index

Indicator of category sales potential

How well a product category is doing in a specific market relative to the population size of that market

The relative strength and weakness for the product category in each market

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Example

Percentage of total US sales for all light beer in Seattle: 1.30

Percentage of total US population in Seattle: 1.20

Light beer’s CDI in Seattle

(1.30/1.20) x 100 = 108

Light beer sales in Seattle are 8% above what would be expected given the population in the area

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Percentage of a product category to total (U.S.) sales in market

Percentage of total (U.S.) population in market

CDI =

X 100

Category Development Index

High market share

Good market potential

Low CDI

High CDI

High BDI

Low market share Good market potential

Low BDI

High market share

Monitor for sales decline

Low market share

Poor market potential

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Market Potential Analysis (Cont)

Exercise: What are the light beer CDIs of Jacksonville and Tampa? Assuming you are the marketing manager of a foreign beer brand and have to choose one from the two, which market will you choose and why?

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Category Sales (%) Population (%) CDI
Jacksonville 0.12 0.12
Tampa 0.15 0.10

Market Potential Analysis (Cont)

Other factors

Local affiliation and distribution

Local regulations

Selling imported light beer in St. Louis, Missouri

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End of chapter questions

2. Why should a company use all potential sources of secondary data before initiating primary data research?

4. What pitfalls might a researcher encounter in using secondary data?

7. What are the major sources of competitive intelligence (CI)?

9. Collect data on beer consumption in your country for the latest available year. Calculate the per capita consumption for your country and compare it with other countries where data is available. What accounts for possible differences?

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WRAP-UP

Basics of marketing research process

Secondary data and applications

Market potential analysis with CDI and other factors

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Next Week

10 in-store observations

Documents in “Chapter 3” on Course Content

03_Sample Observation Form

03_Observation Form

Location: large grocery stores

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