Row 53292

Row ID: 53292 | Dataset Entry | Axioma AXP Content Repository

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You need a price and promotion study that uses hierarchical linear models to test the variables and coefficients at multiple levels. A logit regression model won’t work because there’s too much noise in the data for it to accurately predict when a promotion is on or off. There’s also a lag effect with promotions. If you use a 30% retention rate on a tpr, you’ll see a much more effective impact to sales.

The HLM will help tease out the noise and identify the price elasticities when a product goes on promotion.

FieldValue
text You need a price and promotion study that uses hierarchical linear models to test the variables and coefficients at multiple levels. A logit regression model won’t work because there’s too much noise in the data for it to accurately predict when a promotion is on or off. There’s also a lag effect with promotions. If you use a 30% retention rate on a tpr, you’ll see a much more effective impact to sales. The HLM will help tease out the noise and identify the price elasticities when a product go…
label r/datascience
dataType comment
communityName r/datascience
datetime 2024-05-22
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Raw Record

{
  "text": "You need a price and promotion study that uses hierarchical linear models to test the variables and coefficients at multiple levels. A logit regression model won’t work because there’s too much noise in the data for it to accurately predict when a promotion is on or off. There’s also a lag effect with promotions. If you use a 30% retention rate on a tpr, you’ll see a much more effective impact to sales. \n\nThe HLM will help tease out the noise and identify the price elasticities when a product goes on promotion.",
  "label": "r/datascience",
  "dataType": "comment",
  "communityName": "r/datascience",
  "datetime": "2024-05-22",
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