Data Mining
Analyze and predict customer’s behaviors
Context
Data, accumulated by firms, hide underlying links existing between several behavioral variables. We may notice that the fact of having an important quantity of data hides their richness.
Need
To define new discriminatory variables related to your customers, profiles and behavioral variables, in order to significantly increase the customer knowledge, to adapt your strategies and to improve your return on investment.
Our solution
Quatrax uses data mining and statistical methods in order to promote data and to exploit the richness of customer’s data by bringing to light existing correlations between all the data of your customer’s database to respond to enterprise needs in terms of:
Main data mining applications proposed by Quatrax :
Need
To define new discriminatory variables related to your customers, profiles and behavioral variables, in order to significantly increase the customer knowledge, to adapt your strategies and to improve your return on investment.
Our solution
Quatrax uses data mining and statistical methods in order to promote data and to exploit the richness of customer’s data by bringing to light existing correlations between all the data of your customer’s database to respond to enterprise needs in terms of:
- Segmentation and customer targeting
- Cross selling and clients loyalty improvement
- Multi-channel strategies optimization
- ROI increase and customer risk forecasting
Main data mining applications proposed by Quatrax :
- Scoring: to assign a "score" to measure your potential customers interest in your products based on a partial knowledge according to their similarity to your core target.
- Behavioral segmentation: to define homogeneous customers groups characterized by a similar behavior and to bring to light the links existing between available several variables.
- Predictive models: to predict and to anticipate risky behaviors.