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Pricing Analytics

 

Global companies operating in multiple countries face different economic and competitive landscapes in different market and hence pricing decisions can vary geographically. But this poses a different set of challenges like price arbitrage encouraging gray markets, dealership network dissatisfactions due to price differentials etc.

Defining a price corridor with highest and lowest pricing that can be used within a set of geographies that will maximize the profitability in individual markets and minimize the negative effects caused due to differential pricing across the markets.

Dexterity’s Pricing Analytics help customers get answers for some business critical questions like

- What are the key drivers impacting my volume share?

- How sensitive is the brand to change in price?

- How to maintain the volume share subject to market change?

The dynamics of pricing has a pronounced effect on the top and bottom line particularly for retail and CPG customers.

Dexterity provides solution by identifying the key drivers of volume share, calculating the price elasticity for price effectiveness, providing price corridor to maintain volume share and also a proprietary volume share calculator to predict the volume share of client’s product subject to changes in the market.

Dexterity uses Log Linear Regression Modeling techniques to measure own price/cross price elasticity and also predict the volume share for the brand of interest. The impact of trade elements on volume share is also measured.

The user will be able to observe the change in the volume share of the brand subject to price/trade elements change in the market. The change in predicted volume share is displayed in % gain or % loss in volume share per week.


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