Process of defining a marketing product and opportunity, collecting and analyzing information and recommending actions
Steps Marketing Research
1. define the problem 2. develop the research plan 3. collect the relevant information 4. develop findings 5. take marketing actions
Define the problem
Set research objectives; identify possible marketing actions
Gather preliminary information that will help define problems and suggest hypotheses, it also provides initial information when the problem lacks any clear definition.
Generally involves trying to find the frequency that something occurs or the extent of a relationship between two factors.
The most sophisticated, tries to determine the extent to which the change in one factor changes another one.
Measures of success
criteria or standards used in evaluating proposed solutions to the problem
Define the problem
Jiwon is thinking of developing a candy specifically for college students. Before she begins manufacturing, she has decided to conduct some research to determine whether or not she should include caffeine in the candy. If the results show students prefer caffeine, she will market it as a caffeine product. If the results show students don’t care about caffeine, she will market it as an energy product. Jiwon is probably in the __________ stage of the market research process?
Develop the research plan
Specify Constraints, Identify data needed for marketing actions, determine how to collect data
Develop the research plan
Nick is thinking of conducting some market research to help him determine the best colors to use for the cover of his new hip-hop CD to be released in February. He decides that he can invest up to $500 in this research, but he needs to get it done in the next three weeks. Nick is probably in the _______________ stage of the market research process?
restrictions placed on potential solutions to a problem
Process of drawing conclusions about the population from a sample to help decide on marketing actions
Secondary data: Internal
marketing inputs and marketing outcomes
marketing input data
Relate to the effort expended to make sales. These range from sales and advertising budgets and expenditures to salespeople’s call reports
marketing outcome data
Relate to the results of the marketing efforts;billing records on shipments from the accounting dept. and included sales and repeat sales and communication from customers (emails, phone calls, letters)
Secondary data: External
Published data from outside the organization. Examples include, US Census, Trade Association studies, business periodicals, and internet-based reports
Facts and figures obtained by watching, either mechanically or in person, how people behave, can be collected by mechanical, including electronic,personal, or neuromarketing methods.
Trained observers seek to discover subtle behavioral and emotional reactions as consumers encounter products in their “natural use environment,” such as in their home or car.
use of brain scanning to analyze buying processes, mixing the study of the brain with marketing
facts and figures obtained by asking people about their attitudes, awareness, intentions, and behaviors
Idea generation methods
individual interview, depth interviews, focus groups, trend hunting
seeks to anticipate and track the evolution of cool, it is identifying emerging shifts in social behavior which are driven by changes in pop culture that can lead to new products
Idea evaluation methods
The process by which the marketing researcher tries to test the ideas discovered earlier to help marketing manager recommend marketing actions.
Allows respondents to express opinions, ideas, or behaviors in their own words without being forced to choose among alternatives that have been predetermined by a marketing researcher.
The simplest form of a fixed alternative question that allows only a “yes” or “no” response.
Semantic differential scale
A five-point scale in which the opposite ends have one- or-two-word adjectives with opposite meanings.
Respondents indicate their own attitudes by checking how strongly they agree or disagree with statements
A question phrased in such a way as to suggest the desired answer. E.g. Why do you like Wendy’s fresh meat hamburgers better than those of competitors?
A question containing a concept that is not defined clearly. Sample question: Do you eat at fast-food restaurants regularly? __yes ___no
Question that doesn’t give all possible answers; e.g.: where do you live, at home or in a dorm? (what if you live in apartment?)
Nonmutually exclusive answers
E.g.: What is your age? Under 20, 20-40, or 40 and over? (which does a 40 year old check?)
Primary data: other sources
1) social media – i.e. Face book, Twitter 2) Panels and experiments 3) Information technology 4) data mining
A sample of consumers or stores from which researchers take a series of measurements.
A research method in which an investigator manipulates one or more factors under tightly controlled conditions to observe the effect
Involves operating computer networks that can store and process data.
A method of extracting previously unknown relationships among individual data points in a database.
Lands End is a successful mail order catalog company. In order to expand their business, they decided to open retail outlets where customers could visit and actually see the merchandise. By analyzing the zip codes from past mail order shipments, they were able to locate the new stores in areas where many of their customers already lived. This is an example of?
Analyze the data; present the findings
Take marketing actions
Make action recommendations, Implement action recommendations, Evaluate Results(the decision itself and the decision process used)
consists of the total sales of a product that a firm expects to sell during a specified time period under specified environmental conditions and its own marketing efforts.
Sales forecasting techniques
1. Judgments of the decision maker (99%) 2. surveys of knowladgeable groups 3. Statistical methods
involves estimating the value to be forecast without any intervening steps
involves starting with the last known value of the item being forecast, listing the factors that could affect the forecast, assessing whether they have a positive or negative impact, and making the final forecast
Involves extending a pattern observed in past data into the future.