The Role of Marketing Research in Management Decision Making - PowerPoint PPT Presentation

1 / 41
About This Presentation
Title:

The Role of Marketing Research in Management Decision Making

Description:

Based on Robert Dolan's Note on Strategy, HBR ... AUTO. The 'Three Questions' Rule ... Possible Internal Sources of Secondary Data For Customer-Centric Research ... – PowerPoint PPT presentation

Number of Views:1582
Avg rating:3.0/5.0
Slides: 42
Provided by: daven189
Category:

less

Transcript and Presenter's Notes

Title: The Role of Marketing Research in Management Decision Making


1
  • The Role of Marketing Research in Management
    Decision Making
  • Raj Echambadi

2
Schematic of the Marketing Process
Product
Place
Promotion
Price
PROFITS
Based on Robert Dolans Note on Strategy, HBR
Press
3
Examples of Marketing Research
  • Any decision that helps in making informed
    marketing decisions. Information gathering.

4
Why do Marketing Research?
  • The individual (wo)man is an insoluble puzzle, in
    the aggregate (s)he becomes a mathematical
    certainty.

5
Why do we need Marketing Research?
  • Perception is Reality. SPAM. COLOR
  • Initial perceptions can lead to selective
    interpretation. That may hurt your prospects.
  • Environmental Changes.

6
Benefits of Marketing Research
  • Market research guides your communication with
    current and potential customers.
  • Market research helps you identify opportunities
    and problems in the marketplace.
  • Market research minimizes the risk of doing
    business.
  • Market research helps you to create benchmarks,
    track your progress, and evaluate your success.

7
Marketing Research for Businesses
  • Marketing Research is a mindset.It is an art as
    much as a science.
  • Observe the happenings around you carefully.
  • STYLE. ENTERT. AUTO.

8
The Three Questions Rule
  • Before conducting any MR, ask yourself the
    following three questions
  • What do I want to know?
  • Why do I need this information?
  • What decisions will I take once I've got it?
  • Answering these three questions will lead to
    ACTIONABLE RESEARCH.

9
Types of Data
Primary Data Collected by the researcher for
the problem at hand.FRESH Focus groups Indepth
interviewing Surveys Observation Experiments
  • Secondary Data
  • Already collected by persons other then the
    researcher

10
The Marketing Research Process
5. Data collection
4. Selecting the Sampling procedure
How?
3. Choosing the research method
What?
7. Follow-up
2. Creating the
Why?
research design
  • Identifying
  • Formulating the
  • Research Problem

11
Step 1 Problem Diagnosis
  • The root cause of the problem is harder to
    identify than its obvious manifestations.
  • To define the problem, list every factor that may
    have influenced it, then eliminate any that
    cannot be measured.
  • Assess the information that is immediately
    available. Weigh the cost of gathering more
    information against its potential usefulness.
  • Define Objectives and Set Parameters

12
Step 2 Research Design
13
Exploratory Research
  • Exploratory Research
  • Seeking insight into the general nature of the
    problem.
  • Examples
  • Why do consumers shop / not shop in our stores?
    SM.
  • What are the internal motivations of consumers
    for using DSL and not cable modems?
  • Focus groups, Depth Interviews, Observation

14
(No Transcript)
15
Focus Groups
  • Lower cost.
  • Quickness of execution.
  • Concept testing.
  • How do consumers use a product?
  • Good source of ideas about product improvements.
    Checking Account.
  • Exploring problems. Deans Tuxedos
  • Why do consumers behave the way they do?

16
In-Depth Interviewing
  • Why do customers exhibit certain behaviors? Why
    do consumers use a product in a particular way?
  • Sometimes give the marketers a better feel for
    customers lives.

17
Descriptive Research
  • Describe the characteristics of relevant groups
    of customers
  • Who buys our products?
  • What are their needs?
  • Where do they buy it?
  • Surveys (Mail., Telephone, Online)

18
Collecting Primary Data
Survey Methods
Mail and Personal Online
Telephone Interview
Costs Flexibility Interviewer Bias Length
5-10 Low Low Low
25 Med. Probes Med. Med.
gt 200 High High High
19
Causal Studies
  • Does one variable cause another?
  • Experiment
  • Test markets

A (Cause) ? B(Effect) Independent ? Dependent
20
Example of an Experiment
  • Firm A advertised in two formats the Yellow
    pages (Mode A) and a banner ad in a web site
    (Mode B).
  • Which format is most effective?
  • Import all the purchase records of people who
    used either Mode 1 or Mode 2 into separate
    spreadsheets. 
  • Compute the percentages in both modes. You know
    which mode worked better for your segment.

21
More Examples
  • Create special coupons. Use different codes for
    various messages or offers. That way, you'll know
    what attracts business or response.
  • Buy a group of toll free 800 numbers and use
    different numbers for varying promotions.
  • Can consumers decipher differences between a
    variety of broadband speeds?
  • Test your marketing strategies in a small
    geographic area first. Work out the kinks. Then,
    duplicate the strategy to all markets.

22
How effective is your pricing?
  • Testing various price points to compute price
    elasticity.

23
Step 3 Choosing a Method of Research Data
Sources
Primary Data Collected by the researcher for
the problem at hand. Focus groups Indepth
interviewing Surveys Observation Experiments
  • Secondary Data
  • Collected by persons other then the researcher

24
Step 4 Sampling Fundamentals
  • Population vs. Sample.
  • Probability vs. Non-probability sampling.

25
Non Probability Sampling Techniques
  • Convenience
  • Used to obtain information quickly and
    inexpensively
  • Quota
  • Minimum number from each specified subgroup in
    the population.
  • Often based on demographic data.
  • Snowball
  • Each respondent, after being interviewed, is
    asked to identify one or more others in the
    appropriate group
  • Example When conducting personal interviews
    about customer satisfaction with a treadmill, the
    interviewer can ask Do you know anybody that
    uses the same type of treadmill?

26
  • CUSTOMER RESEARCH

27
Customer Characteristics
  • As a small business owner, you should be able to
    answer the following questions
  • What need does my product or service satisfy?
  • Who needs and can afford what I am offering?
  • Who has the authority to say "yes" to the product
    or service I am offering?
  • How accessible is my product or service to my
    customers?

28
KNOW your Customer
  • Now that you know what youre looking for,
    develop an ideal demographic profile of your
    customer.
  • Example Customer is married, age between 25-54,
    has children, lives in an upscale neighborhood,
    and reads the Time magazine
  • Visualize your "ideal" customer. Then, try to
    imagine what their priorities might be in
    relation to your product or service.

29
Possible Internal Sources of Secondary Data For
Customer-Centric Research
30
Possible Internal Sources of Secondary Data For
Customer-Centric Research
31
How do we get Customer Info?
  • Telephone numbers Phone prefixes will tell
    geographic areas of your customers.
  • Key your ads and coupons.
  • Communicate with customers Every customer should
    get a "How did you find us?" question.
  • Check license plates in your parking lot.

32
Scoring Customers
  • Create a customer database. Include prospects.
  • All customers are not equal. Some customers are
    more equal than others.
  • Use past customer behaviors to predict future
    behaviors.

33
Using RFM to find best customers
  • Recency, Frequency, Monetary (RFM) analysis can
    be used to categorize customers.
  • Best Customers are those who
  • Bought from you recently
  • Buy from you frequently
  • Spend a lot of money on your products and
    services.

34
Recency
  • Recency is the time that has elapsed since the
    customer made his most recent purchase.
  • A customer who made his most recent purchase last
    month will receive a higher recency score than a
    customer who made his most recent purchase three
    years ago.
  • Example of a Scoring system
  • 1 Customers who made a purchase more than 9
    months ago2 Customers who made a purchase more
    than 3 months ago but fewer than 9 months ago3
    Customers who made a purchase in the last 3
    months

35
Frequency
  • Frequency is the total number of purchases that a
    customer has made within a designated period of
    time.
  • A customer who made six purchases in the last
    three years would receive a higher frequency
    score than a customer who made one purchase in
    the last three years.
  • Example of a Scoring system
  • 1 Customers who made a single purchase in the
    past 12 months2 Customers who made between two
    12 purchases in the past year.3 Customers
    who made more than 12 purchases in the past year.

36
Monetary
  • Monetary is each customer's average purchase
    amount.
  • A customer who averages a 100 purchase amount
    would receive a higher monetary score than a
    customer who averages a 20 purchase amount.
  • Example of a Scoring system
  • 1 Customers with an average purchase amount up
    to 15.2 Customers with an average purchase
    amount from 15 to 50.3 Customers with an
    average purchase amount greater than 50.

37
Calculating RFM
  • Rank customers in your database based on time
    since last purchase - Divide into 3 EQUAL groups
    with 3 being the 33 of customers who bought most
    recently
  • Do the same thing again for frequency.
  • Repeat the same exercise for total dollars spent.
  • These three codes give us 27 different categories
    of customers ranging from 333 111.

38
ANALYZE your Customers Highest Monetary Cells
39
ANALYZE your Customers Lowest Monetary Cells
40
Benefits of RFM Analysis (TRANSACTION or ONE-TIME
CUSTOMERS?)
  • RFM Analysis can provide answers to the following
    questions
  • Can I identify my best customers?
  • Who do I e-mail offers to?  When do I e-mail
    them?  How often?
  • Should I promote to some customers more often
    than others?  YES.
  • How much incentive should I provide to get a
    customer to do something?
  • How can I tell when Im losing a customer?
  • Can I refine my marketing mix variables?

41
  • The next step after knowing and analyzing your
    customers is CLONING your customers.
Write a Comment
User Comments (0)
About PowerShow.com