Quantitative Marketing

Extract information from data and transform information into knowledge to optimize decision-making processes.

At Bayes Forecast we took full advantage of the information and knowledge on data repositories through our computational tools and mathematical models. Quantitative Marketing consists in the construction of dynamic models that represent the behavior of markets and measure in combination all kinds of effects that affect the market.

Inside the effects that we explained and quantified are the customers ‘ behavior, the actions of the competence, the dynamics of prices, the marketing mix, the social time (Christmas, summer, weekends, bridges, etc.), the informational effects, the substitution of products and/or outlets, weather effects and the macroeconomic variables.

Under this approach, we were able to acquire an accurate knowledge of all the relevant variables for understanding of markets, to:

  • Observe the historical conduct of any client or group of clients.
  • Knowing the typology of clients, the evolution of their fidelity, their life cycle and the consumption induced by acquiring new products and services.
  • Predict the level of risk or the propensity to abandonment.
  • To quantify the effectiveness of marketing actions by point of sale and typology of products.
  • Estimate potential markets before the launch of new products and services.
  • To determine the effects of advertising on the sale, whereas factors relating to the media, the quality of the points, marking and evaluation of deterioration.
  • Analysis of promotions by intensity, frequency, target and side effects.
  • Optimize the costs of “exhausted” and “product returns”.

    • Quantitative Marketing is a powerful tool for competitive intelligence, which provide a detailed knowledge about the variables that influence your business.