Study | Price & Portfolio Strategy Simulator

Price & Portfolio Strategy Simulator (P&POSS)

Cart

Detailed

Maximize your market share by generating a data driven pricing strategy for your portfolio of products, services or solutions.

Evaluates different competitive market scenarios through a preference share simulator and identifies the optimal configuration of up to 150 SKU's, taking into consideration variables such as format, price and cannibalization.

See One page

If you want to be informed

Click here and
know our blog

Maximize your market share by generating a data driven pricing strategy for your portfolio of products, services or solutions.

Example See One page

Product Information

What includes? Methodology

Market preference analysis

Market preference of the current scenario
By brand
By SKU
By subcategory
By special grouping
Absolute variation vs the current scenario
Relative variation vs the current scenario
Business group
product brand

Participation scenarios

Participation by format and variation vs current scenario
Participation by product line and variation vs current scenario
Participation by brand and variation vs current scenario
Participation by SKU and variation vs current scenario
Participation by specific demographic segmentations
Participation by purchase channel and variation vs current scenario

atlantia search, market research, price elasticity curves

Price sensitivity by SKU

Price elasticity curves (only for customer SKUs)
Revenue maximization point

Price Sensitivity Innovation

Minimum price point per SKU
Maximum price point per SKU
Optimal price point per SKU
Acceptance of the launch price point
Comparative Risk Price Analysis (CRPA)

InnoSOV

Level of cannibalization between own brands
Brand Incrementality
Volume from category

Preference Share Simulator

Includes the possibility of generating different scenarios and filtering information according to your needs.

Filtered by age range
Filtered by genre
Filter by region
Filtered by Socioeconomic Levels
Filtered by buyers and non-buyers of the brand

Preference Share Simulator

Includes the possibility of generating different scenarios and filtering information according to your needs.

Preference Share Simulator

Includes the possibility of generating different scenarios and filtering information according to your needs.

The Atlantia Search methodology incorporates multinomial logistic regression techniques, with which the market-preferred product combinations and price points. In addition, the information is processed with the advanced statistical analysis method Conjoint Analysis, which identifies absolute and relative variations from changing your competitors' price points.

Additionally we set up a Market Share Simulator (Product vs Product), a tool at your disposal that will allow you to calculate the percentage of market that a product has compared to competing products.