Welcome!
Discovering opportunities & Forecasting demand
Dr. Satyendra Singh
Professor, Marketing & International Business
Conference Chair, ABEM Conference
University of Winnipeg, CANADA
Issues with international marketing research
Secondary data
Primary data
Estimating foreign demand/opportunities
Analyzing/Interpreting research information
Communicating with decision makers
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Top 20 marketing research firms (in million)
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Secondary data
Problem definition
Availability of data
No government agency, proxy, language barrier
Reliability of data
Too optimistic government, false data reporting, match production with sales
Comparability of data
Old data, data in different categories—definition of superstore, manager
Validating secondary data
Judgment validity—check for correlations e.g. diapers and babies
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Primary data
Ability to communicate opinions
Must have the product, understand usefulness
Willingness to respond
Males, socially desirable answers, suspicious researcher, political interference
Sampling in field surveys
Sampling problems, no street names, no house nos., no accurate maps, outdated tel. directory, limited use of questionnaire/tel. method, lack of demographic details
Language and comprehension
Language barrier, equivalent concept eg def of family, literacy, back translation and parallel translation, conservative responses (Japan vs. USA)
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Estimating market demand
Historical data, if available
Production + Import
Expert opinion for size and growth
Poll experts, sales managers, distributors, consultants, govt officials
Triangulation—compare estimates produced by different sources
Analogy (chain-ratio method)
Establish correlation between product and GDP/sales/…
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Trend Cyclical Seasonal
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Irregular demand ??
Analyzing and interpreting research information
Cultural understanding -- local interpreter
Adaptive research methodology -- more pictures, focus group
Skeptical about primary or secondary data
Correlate with other sources—governments…
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Demand Forecasting: Values and Lifestyle (VALS - USA)�Motivation and resources
Thinkers
Reflective
Informed
Content
Believers
Literal
Loyal
Moralistic
Innovators
Take-charge
Sophisticated
Curious
Survivors
Nostalgic
Constrained
Cautious
Achievers
Goal oriented
Brand conscious
Conventional
Strivers
Contemporary
Imitative
Style conscious
Experiencers
Trend setting
Impulsive
Variety seeking
Makers
Responsible
Practical
Self-sufficient
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Demand Forecasting: Values and Lifestyle (VALS - JAPAN) �Life orientation and Social Change
Innovator segments show a distinct and individualistic self-concept, high Levels of involvement and activity in areas of personal interest, and enthusiasm for innovations.
Adapter segments tend to follow the trends started by the Innovators in their interest areas, but at moderate levels of involvement and activity.
Pragmatic segments show slightly below average involvement and activity; flexible behavior, few distinct interests, and avoidance of risk.
Sustainers show low levels of activity, a focus on the past, and resistance to social change and innovations
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Managing culture barrier in international marketing research
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Group Exercise
Q1. Discover VALS (at least 5 segments) for any one country in Africa, Asia, Middle East, Far East, and South America.
Q2. These VALS / lifestyle-based segments should be based on 2 primary dimensions (X and Y axis).
Q3. Justify the selection of dimensions and segments. And link them to forecasting demand (ie #, %...) for each segment with justification.
Please email your file to s.singh@uwinnipeg.ca with group no and “Forecasting” in the subject line
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Group activity
Q1. What is the difference between India and China sales? Comment.
Q2. Forecast demand for the next 4 weeks for both countries.
Q3. Justify the forecasting method.
Q4. Write any assumptions, if any, when using forecasting methods.
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Group Exercise
Q1. Predict demand for Tyres in 2021?
Q2. Do you find seasonality?
Q3. Do you find cycle?
Q4. Do your find randomness?
Year | Snowfall (inches) | Demand for tyres |
2011 | 25.6 | 2050 |
2012 | 27.6 | 1944 |
2013 | 22.4 | 2250 |
2014 | 24 | 1700 |
2015 | 28.2 | 1842 |
2016 | 22.2 | 2404 |
2017 | 23.4 | 1756 |
2018 | 25.2 | 1780 |
2019 | 23.8 | 2144 |
2020 | 24.6 | 1862 |
2021 | 26 | ?? |
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Questions?�s.singh@uwinnipeg.ca