A data analyst at a marketing company determines which advertising campaign will be most successful. Rather than only reviewing data about effective past campaigns, the analyst considers target audience demographics, market trends, competitor campaigns, and more. This enables them to achieve more insightful results.

Which fairness best practice does this scenario describe?

A. Considering all available data
B. Including self-reported data
C. Guiding business strategy
D. Oversampling



Answer :

Final answer:

Understanding target audience characteristics, competitive analysis, and sampling strategies are key in developing effective marketing campaigns.


Explanation:

Target audience research involves gathering data to understand the characteristics of the audience. This includes demographics like gender, age, race, and socioeconomic status. Analyzing this information is crucial in developing effective marketing strategies.

Competitive analysis is also important, as it helps in understanding what competitors are doing to target their audience. By considering all available data, including target audience demographics and market trends, a data analyst can make more insightful decisions about advertising campaigns.

Sampling strategy is essential for researchers to select a representative sample from the target population. Care must be taken to avoid biased samples that could lead to inaccurate observations.


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