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 Cross Sectional Baseline
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Use ACNielsen’s renowned baseline methodology for highly seasonal or heavily promoted products

ACNielsen baselines measure the expected normal volume for a product in the absence of any promotion (feature, display or temporary price reduction) within a given store for a given week. ACNielsen’s baseline measure is considered an industry standard in terms of its wide range of applicability for manufacturers, and now retailers, in measuring the effectiveness of their trade promotion spending.

ACNielsen’s Cross Sectional Baselines help CPG marketers understand the sales dynamics of highly seasonal or heavily promoted products. Generally, these products have sales patterns that are cyclical and present a challenge from a promotional effectiveness measurement perspective. When seasonal effects are present, the sales volume that is truly incremental may be overshadowed by volume that is inherently realized due to these seasonal effects. This baseline methodology separates any artificiality in data by statistically adjusting baseline volume using sales patterns in stores within a defined market/geography.

Cross Sectional Baselines can assist you in making informed marketing and planning decisions.

Cross Sectional Baseline Methodology:

Straightforward approach:

  • An estimate of base=5 in week four for store #1 is consistent from a time-series perspective, BUT
  • Volume DOUBLED in week four in stores 2 and 3, perhaps due to the holiday

We can improve our time series forecast by applying a cross-sectional adjustment of 2 to week four volume in store #1

Cross Sectional Baselines can help you:

  • Track underlying health of a brand (base volume) and compare it to its competition.
  • Identify temporary growth driven by a promotion (incremental volume) or volume net of seasonal effects.
  • Determine specific source of volume and share gains or losses.
  • Forecast demand/volume expected during seasons or holidays, including floating holidays (e.g., Easter).
  • Optimize mix: feature, display and promoted price.
  • Monitor competitive promotional practices.
  • Compare lift across brands, categories, weeks, channels and price points.
 
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