 We extract information from data and transform it into knowledge to optimize
decision making processes.
» Quantitative marketing
Models |
We built explanatory and predictive models for the operations, customers, and
markets of our customers. More» |
At Bayes Forecast we make the most out of information ad knowledge available
in data repositories, business experience and market variables in order to make
them easy to reach and understand.
Bayes Forecast sees Quantitative Marketing as a process of building dynamic
models that capture the market behavior and measure simultaneously all kind
of effects that affect the market and provide a detailed and essential knowledge.
We include among the effects that are to be explained and quantified the customer
base behavior, rivals actions, price dynamics, marketing mix, social
time, products or points of sale substitution, and macroeconomic variables.
Under this perspective, we have acquired a solid knowledge of all the relevant
variables required for understanding the markets in order to:
- Understand the behavior of a customer or group of customers.
- Understand the customer segmentation, the evolution of their loyalty, their
life cycle, and their consumption as a result of the introduction of new products
and services.
- Forecast the risk level or probability of deflection of customers.
- Estimate potential demand before the introduction of new products and
services.
- Understand the production costs and management of cash and stocks.
- Quantify the efficiency of marketing actions by sales channel a kind of products.
- Determine the effects of publicity on sales, considering factors attending to
media, spot quality, brand, and decay rating.
- Promotions effect by intensity, frequency, target, and side effects.
- Optimize the cost of zero stocks and remaining stocks.
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Solutions /
The solutions implemented by Bayes Forecast help companies to understand
the past, control the current time and forecast the most probable outcomes
and take the best decisions..
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