New Product Launch Simulation
Decisions benefits from better analytics.
Would you like to consider the expected gain of market share for a product, according to the marketing actions they are able to take?
The use of a simulation model, that runs along time, and considers the changing market share allows to get an accurate result for your revenue.
What is It?
It is a New Product Launch simulator.
We have modeled different possible scenarios where Outside variables have impact in your potential share, as well as inside Action.
Adding to scenarios analysis, you can use the model to understand the sensitivity of your marketing variables on final results and the risk of the investment.
How it Works?
Loads your Data and allows different Scenarios Input from the model window, to play with.
Once started, the model will estimate the expected revenue for each month, estimating the gain or loss off market share according to population behavior and marketing actions.
Why Should I ?
It is key to evaluate the impact of marketing actions on the expected revenue.
Marketing actions are necessary to assure the market share, used to estimate the revenue.
Along the period of time chosen to estimate the terminal value of the investment, consumers behavior will impact on the market share, and product success also.
Once expected market share has been estimated, you will be able to calculate the terminal value, just in seconds!
ONE MODEL, different Experiments!
Explore all possible Scenarios.
When estimating per month, you will be able to pick the influence on the market from the previous month and all feed backs that may happen along time, as well as using variables with a probabilistic value.
Play with Scenarios & Play with your Variables. Imagine different answers to marketing actions from men or women, young or adults.
Compare Runs, with Parameters Variation. In a methodic way, the experiment will show you the variation on the outputs, and allow to compare costs and benefits of each action along time.
View in a Tornado graph, which of your variables have a larger or smaller probability of impact on your output.
Define your objective with an equation or number, apply constrains and just run the optimizer. It will deliver the best variables combination.
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Buenos Aires/ Argentina
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