Customer Behavioral Segmentation

Powerful Customer (micro) Segmentation based on individual behavior, across inbound and outbound company borders.

Effective & high-personalized marketing campaigns by substantially reducing the impacts quantity by increasing radically its quality.

Purchasing Propensity Calculation

Calculation of each customer’s Purchasing Propensity score for any of your company’s products and services.

Full range of buying trends through analysis of the whole customer base behavior, including non-current or inactive customers.

Predictive Models

Advance to the future. Know what is going to happen before it actually happens.

Let the data predict what is going to occur and use that information to prevent negative consequences and foster positive ones.

Customer Churn

Predictive modelling of inactive and former customers for selecting those more likely to turn into active customers.

Behavioral & consumption patterns identification through old internal transactions, external interactions and social-demographic variables.

On-line Dynamic Product Conditions

Customized product and contract conditions for each customer, using his behavior and life style, the channel context, the offer moment, and competitor’s conditions for similar products.

Higher loyalty and retention indicators through better on-line decisions.

Technology

Our Data Analytics Solutions use a range of scientific principles and technological solutions to develop powerful but simple tools to allow you to finally unearth that knowledge and use it to make reliable data driven decision making.

We do the hard part in the background so you can do the important one with ease. We provide you with visualization tools that facilitate the understanding of the results as well as their impact on your business by emphasizing the most relevant insights in real time.

• Machine Learning techniques for proper modelling.
• Apache Kafka for ingesting and aggregating all your data sources.
• The ELK stack for indexing and searching textual data.
• The Hadoop ecosystem for batch processing of historical Big Data.
• Apache Spark for interactively querying your Big Data and real time processing of incoming streams of data.
• The lamda architecture for combining historical and streaming data.
• NoSql databases for aggregating and efficiently querying all your data.