Baseline Sales Analysis Case Study

Baseline Sales Analysis_Case_StudyA leading manufacturer of cosmetics, skincare and haircare products wanting MSA to analyze the performance of their trade promotions, as they were specifically not satisfied with the base vs. incremental sales volume estimates they were receiving from their syndicated sales data provider. MSA provided a consistent, accurate approach for measuring sales volume driven by trade promotions (i.e., incremental), while excluding brand marketing and temporal factors (i.e., base).

The Challenge

The Client is a leading manufacturer of cosmetics, skincare and haircare products.  They approached Management Science Associates, Inc. (MSA) wanting us to analyze the performance of their trade promotions.  One of their reasons for coming to MSA was that they were specifically not satisfied with the base vs. incremental sales volume estimates they were receiving from their syndicated sales data provider.  These baseline sales estimates were often higher than total sales volume, resulting in unrealistic, negative incremental sales estimates.

Members of their Trade Promotions Team felt they were wasting a lot of time on trying to come up with alternative calculations for better estimates of base sales volume.  They knew more accurate baseline vs. incremental sales volume estimates would result in better ROI calculations of their trade promotion investments.

The Solution

MSA’s goal was to provide the Client with a consistent, accurate approach for measuring sales volume driven by trade promotions (i.e., incremental), while excluding brand marketing and temporal factors (i.e., base).

MSA tested and compared the results of several modeling methodologies to determine which approach would be best for the three years’ worth of weekly data available for the Client.

In the end, MSA used a model-based approach that decomposed sales into short-term incremental volume vs. base volume driven by loyalty/momentum, seasonality and marketing factors.  For the modeled baseline estimates, MSA also considered trend and cyclical patterns, as well as factors related to distribution and competition.  The models produced estimates by sub-brand and account.

The Result

MSA shared the modeled results with the client who then compared them to a syndicated sales data provider’s estimates.  The client concluded that MSA’s baseline estimates were more consistent over time and more intuitive.

The modeling solution MSA designed is very flexible.  The definitions of ‘baseline’ and ‘incremental’ are adjustable based on a Client’s industry and product category.  For instance, FSIs can be included in incremental volume along with trade promotions.


For more information on this MSA solution, please contact Kevin Mason (kmason@msa.com), Vice President.