What are the key steps in developing a sampling plan, and how does the choice between probability and nonprobability sampling methods influence the reliability of research results?
(200-300 words)
-Promotions are a very common tool used by companies to gauge market share and generate trial. From the different promotions you observe in Hypermarkets, which do you think are the key failures on a view of an ROI mindset?
Full Answer Section
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Sampling Method: Choose a probability or non-probability sampling method.
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Probability Sampling: Ensures each member has a known chance of being selected, leading to generalizable results (e.g., random sampling, stratified sampling).
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Non-Probability Sampling: Selection is not random, making results less generalizable but potentially quicker or cheaper (e.g., convenience sampling, snowball sampling).
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Data Collection: Collect data from the chosen sample.
Reliability and Sampling Method:
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Probability Sampling: Provides a more reliable representation of the target population, allowing researchers to generalize findings with more confidence.
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Non-Probability Sampling: Results might not be generalizable to the entire population, limiting the reliability of conclusions.
Hypermarket Promotion Fails: An ROI Perspective
Here are some key promotion failures in hypermarkets from an ROI (Return on Investment) standpoint:
- Poorly Targeted Promotions: Discounts on products irrelevant to a store's core customer base or with low profit margins.
- Lack of Clear Goals: Promotions without defined objectives for sales increase, customer acquisition, or brand awareness make it difficult to measure ROI.
- Short-Term Focus: Overreliance on immediate discounts without building long-term customer loyalty or brand relationships.
- Cannibalization of Sales: Discounts that simply lead to customers buying the same product at a lower price, not increasing overall sales.
- Excessive Complexity: Promotions with overly complex rules or mechanics that confuse customers and reduce participation.
- Poor Measurement and Tracking: Failure to properly track promotion effectiveness through data analysis, hindering future optimization.