Predictive Analytics
- Increase productivity
- Cost reduction
- Improve the user experience, personalizing the offer of new services
- Increase customer awareness and brand commitment
Visual Analytics
- Access to information at any time and place.
- Finding valuable insights for the business.
- Decentralization of the analysis to anyone in the organization.
- Sound decision making.
- Greater knowledge and anticipation of consumer behavior or needs.
- Automated alerts and real-time monitoring of processes.
Cognitive Analytics
Study of the senses: consists of the possibility of recognizing through sound patterns -a call-, the emotional state of the client, their gender, their taste, and age.
Social analytics
- Community: Number of followers / fans, ratio of followers vs followed or number of lost followers.
- Scope: How many people are reaching, how many people are being impacted.
- Interaction: Total interactions, interaction rate, link clicks, number of private messages, etc.
- Conversion: Traffic to the web from social networks, time on page, total sales or leads obtained from visits that come from social etc.
Loyalty Analytics
Identify customer profiles by their interaction with the brand, their sociodemographic, socioeconomic variables and historical preferences. They allow you to know what are the main causes that motivate churn in your companies, and facilitate the creation of cost-efficient and proactive loyalty programs.