Test 1 Flashcards

1
Q

Evidence-based marketing

A

type of marketing where the company uses stats, research, and trends to make informed marketing decisions.

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2
Q

why to avoid EBM

A

-too much trust in one’s own experience
-hype of info
-capitalize one’s strength

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3
Q

what makes it hard to be evidence-based

A

-too much evidence
-the evidence does not apply
-misleading

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4
Q

5 c’s

A

care, clear, concise, credible, correct

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5
Q

Evidence has many shapes:

A

Descriptibe. diagnostic, predictive

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6
Q

descriptive

A

gathering & presenting statements of facts, sales trends, wants & needs.

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7
Q

diagnostic

A

what was the impact of the new promotion?

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8
Q

Scale of increasing risk of decisions

A

systemic reviews, experiments, mixed method studies, quant, qual, expert opinion.

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9
Q

qualitative, exploratory

A

-focus groups, interviews/customer visits, social listening

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10
Q

quantitative, confirmatory

A

-survey research, experimentation

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11
Q

Leading indicators

A

-where things could go
-harder to measure, easier to influence

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12
Q

lagging indicators

A

-what has already happened
-easier to measure, difficult to influence

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13
Q

types of secondary research-internal

A

numerical records, free form or text/numbers

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14
Q

types of secondary research-external

A

published data-trade press, commercial reports

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15
Q

advantages of secondary data

A

-less costly
-help clarify or refine the issue or problem
-can be the only available source of data

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16
Q

Disadvantages of secondary data

A

-might not be available
-quality varies and problems can be subtle

17
Q

volume, variety, velocity

A

-amount of data
-type of data collected
-time data is collected

18
Q

Big data strengths

A

its big, real, automatic

19
Q

big data weaknesses

A

superficial, susceptibility to hype

20
Q

a large amount of info that is too massive and complex for regular databases and tools to handle effectively

A

Big data

21
Q

pros of big data

A

-uncover patterns and trends, can lead to better decision-making.
-quicker and more informed

22
Q

cons of big data

A

-privacy concerns
-complex—> requires special sills and tools

23
Q

how to get big data

A

-internal (company logs,text and numbers, external sources (social media, 3rd party).

24
Q
A