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Chapter 4
Marketing Research
Marketing Information and Customer Insights
Managing Marketing Information
4-10
Marketing Research
Steps in the Marketing Research
Process
4-21
Copyright © 2016 Pearson Education, Inc.
Marketing Research
Defining the Problem and Research
Objectives
Exploratory research
Descriptive research
Causal research
Copyright © 2016 Pearson Education, Inc. 4-22
Marketing Research
Developing the Research
Plan
Secondary data is information that
already exists somewhere, having been
collected for another purpose.
Primary data is information collected for
the specific purpose at hand.
Copyright © 2016 Pearson Education, Inc. 4-25
Marketing Research
Gathering Secondary Data
Advantages
Lower cost
Obtained quickly
Cannot collect
otherwise
Disadvantages
- data may not be
Relevant
Accurate
Current
Impartial
4-26
Copyright © 2016 Pearson Education, Inc.
Marketing Research
Primary Data Collection
Copyright © 2016 Pearson Education, Inc. 4-28
Marketing Research
Implementing the Research Plan
• Collecting the information
• Processing the information
• Analyzing the information
Interpreting and Reporting Findings
• Interpret findings
• Draw conclusions
• Report to management
Copyright © 2016 Pearson Education, Inc. 4-38
Sales Forecasting
SALES FORECASTING
Who is affected by it?
 Ops – raw materials, support for existing products,
warehousing, production equipment
 Finance – inventory, all finance statements and
expectations, Wall Street Guidance
 Marketing – mix variables drive forecast and are
effected by it, etc.
 Sales force – budgets, territory sized and # of reps,
sales support, customer service
 HR – hiring in Ops, Mktg, Sales, all parts of the
company,
 R&D – existing product support, new product
investments ($ and direction of investment)
 All budgets across the company flow from sales budget
Functional area
Forecast
Too high Too low
Production excess output, unsold
products
inadequate output to meet
customer demand
Inventory overstock understocks
Finance idle cash cash shortage
Promotion wasted expenditures insufficient expenditures to
cover the market
Distribution costly, insufficient to sell
excess products
inadequate to reach market
Pricing reductions to sell excess
products
price increases to allocate
scarce products
Sales force too many salespeople, high
selling costs
too few salespeople, market
not covered
Customer
relations
money wasted on unneeded
activities, resulting in lower
profits
unsatisfactory due to out-of-
stock products
Profits lower unit profits since
expenses are high
lower total profits because
market not covered
Impact of Erroneous Sales Forecasts
Qualitative Sales Forecasting Techniques
Executive/Owner Judgment
Surveys
 Customer forecasting survey
 Sales force forecasting survey
 Expert forecasting survey
 Delphi technique (panel of experts)
Quantitative Sales Forecasting Methods
Averaging
Simple averages
Moving (rolling) averages
Exponential smoothing
Time-Series Analysis
Trend Analysis
Cycle analysis
Seasonal analysis
Quantitative Sales Forecasting Techniques
Regression Analysis: Predicting sales based on the
relationship between past sales and one or more variables
 Simple Regression: relationship between 1 independent
variable and 1 dependent variable (sales)
 Multiple Regression: shows strength of relationships
between multiple independent variables and dependent
variable (sales)
Caution 1: no one has yet been able to create a formula
that guarantees accurate output
Caution 2: correlation does NOT equal causation
Other Sales Forecasting Techniques
Market Tests
Making a product available in the marketplace and
measuring purchases and consumer responses
 Test full mix on limited scale
 Search for test markets that look like your
national target, but on smaller scale
Assumptive Reasoning (Chain Ratio)
Break a problem down into “knowable” parts,
then rebuild it using reasonable assumptions for
those parts
Market Share-Based Forecast
1. Determine the market size
a) Actual best; potential if actual is unknown
2. Determine the market share you will obtain
a) Excellent justification of share figure(s)
b) “We think…” is insufficient
3. Translate share into units and dollars
Market share is after-the-fact calculation;
measures success of marketing plan and
execution
Business Plan Sales Forecasting
Exhibit #2: Market Quantification
Year
Tot Mkt
Potential (#
Customers)*
Mkt Growth
Projection**
Market
Share***
Product
Annual Unit
Sales
Unit Price or
Weighted ASP
Annual $ Revenue
Year 1
Year 2
Year 3
Year 4
Year 5
* How did you determine your market potential? Identify key sources and assumptions
** Actual market or market potential. How did you determine the growth projection(s)? Identify key sources and assumptions
*** How did you determine your market share? Indicate key sources and assumptions
**** How did you determine your unit forecast? Indicate key sources and assumptions

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Bai trinh bay Marketing research Chapter 4x .ppt

  • 2. Marketing Information and Customer Insights Managing Marketing Information 4-10
  • 3. Marketing Research Steps in the Marketing Research Process 4-21 Copyright © 2016 Pearson Education, Inc.
  • 4. Marketing Research Defining the Problem and Research Objectives Exploratory research Descriptive research Causal research Copyright © 2016 Pearson Education, Inc. 4-22
  • 5. Marketing Research Developing the Research Plan Secondary data is information that already exists somewhere, having been collected for another purpose. Primary data is information collected for the specific purpose at hand. Copyright © 2016 Pearson Education, Inc. 4-25
  • 6. Marketing Research Gathering Secondary Data Advantages Lower cost Obtained quickly Cannot collect otherwise Disadvantages - data may not be Relevant Accurate Current Impartial 4-26 Copyright © 2016 Pearson Education, Inc.
  • 7. Marketing Research Primary Data Collection Copyright © 2016 Pearson Education, Inc. 4-28
  • 8. Marketing Research Implementing the Research Plan • Collecting the information • Processing the information • Analyzing the information Interpreting and Reporting Findings • Interpret findings • Draw conclusions • Report to management Copyright © 2016 Pearson Education, Inc. 4-38
  • 10. SALES FORECASTING Who is affected by it?  Ops – raw materials, support for existing products, warehousing, production equipment  Finance – inventory, all finance statements and expectations, Wall Street Guidance  Marketing – mix variables drive forecast and are effected by it, etc.  Sales force – budgets, territory sized and # of reps, sales support, customer service  HR – hiring in Ops, Mktg, Sales, all parts of the company,  R&D – existing product support, new product investments ($ and direction of investment)  All budgets across the company flow from sales budget
  • 11. Functional area Forecast Too high Too low Production excess output, unsold products inadequate output to meet customer demand Inventory overstock understocks Finance idle cash cash shortage Promotion wasted expenditures insufficient expenditures to cover the market Distribution costly, insufficient to sell excess products inadequate to reach market Pricing reductions to sell excess products price increases to allocate scarce products Sales force too many salespeople, high selling costs too few salespeople, market not covered Customer relations money wasted on unneeded activities, resulting in lower profits unsatisfactory due to out-of- stock products Profits lower unit profits since expenses are high lower total profits because market not covered Impact of Erroneous Sales Forecasts
  • 12. Qualitative Sales Forecasting Techniques Executive/Owner Judgment Surveys  Customer forecasting survey  Sales force forecasting survey  Expert forecasting survey  Delphi technique (panel of experts)
  • 13. Quantitative Sales Forecasting Methods Averaging Simple averages Moving (rolling) averages Exponential smoothing Time-Series Analysis Trend Analysis Cycle analysis Seasonal analysis
  • 14. Quantitative Sales Forecasting Techniques Regression Analysis: Predicting sales based on the relationship between past sales and one or more variables  Simple Regression: relationship between 1 independent variable and 1 dependent variable (sales)  Multiple Regression: shows strength of relationships between multiple independent variables and dependent variable (sales) Caution 1: no one has yet been able to create a formula that guarantees accurate output Caution 2: correlation does NOT equal causation
  • 15. Other Sales Forecasting Techniques Market Tests Making a product available in the marketplace and measuring purchases and consumer responses  Test full mix on limited scale  Search for test markets that look like your national target, but on smaller scale
  • 16. Assumptive Reasoning (Chain Ratio) Break a problem down into “knowable” parts, then rebuild it using reasonable assumptions for those parts
  • 17. Market Share-Based Forecast 1. Determine the market size a) Actual best; potential if actual is unknown 2. Determine the market share you will obtain a) Excellent justification of share figure(s) b) “We think…” is insufficient 3. Translate share into units and dollars Market share is after-the-fact calculation; measures success of marketing plan and execution
  • 18. Business Plan Sales Forecasting Exhibit #2: Market Quantification Year Tot Mkt Potential (# Customers)* Mkt Growth Projection** Market Share*** Product Annual Unit Sales Unit Price or Weighted ASP Annual $ Revenue Year 1 Year 2 Year 3 Year 4 Year 5 * How did you determine your market potential? Identify key sources and assumptions ** Actual market or market potential. How did you determine the growth projection(s)? Identify key sources and assumptions *** How did you determine your market share? Indicate key sources and assumptions **** How did you determine your unit forecast? Indicate key sources and assumptions