4.4 Market research Flashcards

1
Q

What is market research?

A

marketing activities designed to discover the opinions, beliefs and preferences of potential and existing customers

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2
Q

What is the purpose of market research?

A

gives businesses up-to-date info
enables businesses to improve their marketing strategies
assesses customer reactions to a new product by testing it on a small group of customers
gives businesses an understanding of the activities and strategies of rivals
helps businesses to predict what is likely to happen in the future

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3
Q

What is primary research?

A

market research that involves gathering new data first-hand for a specific purpose

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4
Q

What are the different techniques of primary research?

A

surveys
interviews
focus groups
observations

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5
Q

Ads + disads of primary research

A
\+ relevance 
\+ up to date 
\+ confidential and unique 
- time consuming 
- costly 
- validity
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6
Q

What is secondary research?

A

involves the collection of second-hand data and information that already exists.

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7
Q

What are the different techniques of secondary research?

A

market analyses
academic journals
governmental publications
media articles

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8
Q

Ads + disads of secondary research

A
\+ cheaper and faster
\+ provides insight
\+ huge range of resources
\+ based on large sample sizes
- outdated
- irrelevant 
- only provide partial information 
- available to competitors
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9
Q

What are ethical considerations of market research?

A

needs to be systematic, consistent and unbiased.

must not cause damage, be deceitful, deceptive.

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10
Q

What is the difference between quantitative and qualitative market research?

A

Qualitative market research involves getting non-numerical answers and opinions from respondents.
Quantitative market research relies on a much larger number of responses to get hard’ answers (factual and measurable information rather than people’s opinions).

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11
Q

What are the advantages of qualitative research?

A

+ explore driving and restraining forces
+ rich info
+ inexpensive
+ one-to-one interviews: respondents are not under the pressure
- findings are not representative of the whole population
- time consuming
- expertise
- interview bias

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12
Q

What is sampling?

A

the practice of selecting a small group (or sample) of the population for a particular market for primary research purposes.

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13
Q

What are the different types of sampling?

A
Quota
Random 
Stratified 
Cluster 
Snowballing 
Convenience
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14
Q

Quota sampling ads + disads

A

a certain number of people (known as the quota) from different market segments is selected according to shared characteristics such as age, gender or occupation.
+ relatively representative sample can be obtained
+ findings are reliable
- not representative of the whole population –> sampling errors

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15
Q

Random sampling ads + disads

A

involves giving everyone in the population an equal chance of being selected for the sample.
+ easy to get a sample
+ everyone has an equal chance of being selected
- indiscriminate

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16
Q

Stratified sampling ads + disads

A

chooses a number of respondents from each stratum that is proportional to the population and then randomly selects them as the sample.
+ more representative
- difficult to select relevant data
- expensive

17
Q

Cluster sampling ads + disads

A

used when getting feedback from respondents involves too much time, travelling or money.
+ quick, easy, cheap
- bias and sampling error

18
Q

Snowballing sampling ads + disads

A

market research carried out with individuals who then suggest other friends, family members or colleagues to increase the sample size.
+ cheap and quick
- difficult to determine unbiased findings

19
Q

Convenience sampling ads + disads

A

uses subjects that are easy (convenient) to reach.
+ ease of data collection
- exclude a large proportion of the population

20
Q

What are the two types of errors from data collection?

A

non-sampling errors

sampling errors

21
Q

Non-sampling errors and causes

A
  • caused by human error or human behaviour.
  • researcher’s mistakes in recording, processing or analysing data.
  • respondents do not give truthful responses
22
Q

Sampling errors and causes

A

sample size is too small
sample selected is not representative
inappropriate sampling is used
bias