CSA
Since 2007, we have provided technologies and services that allow our clients to collect the correct data and transform it into useful information for decision-making, effectively with the aim of increasing revenues and reducing costs. Also increasing the satisfaction of its users and customers.
Implementation of a reliable information system, automated in real time. They worked with the managers of the local offices of Millicom in Latam to: Implement a user-centered measurement strategy, which allowed understanding the detailed behavior of users in each market. Ensure accurate tracking of all metrics by implementing Segment, a premium data collection tool. Thanks to a user-centric methodology, Millicom was able to build a thorough consumer journey. Today, following the implementation of data collection and analysis tools and marketing activations, Millicom can identify and impact new and current users at the right time. As a result, churn rates have dropped and billing for digital channels has hit historic peaks.
Through the implementation of an algorithm, it was possible to automate and consolidate the information from each call center, to later integrate it into a homogenized database and put it on a board in Power Bi. This improvement makes it possible to display, in a more user-friendly and understandable way, all the information necessary for monitoring the most important conversion flows: Portability-Refills-Renewal-Sales. Currently, this development facilitates the evaluation of the integral management (online and offline) of this commercial process, and guarantees greater efficiency in making business decisions.
"Through the implementation of Tealium Data hub and GA 360, Santander was able to implement a robust data model, also profiling audiences by behavior and user history, which allowed it to: Understand user interactions. Optimize the contact points. Customize notices and offers. Activate audiences and personalizations in real time."
We worked on the identification of targets before launch, through a parameterization of all the data required to develop visualizations. Results. The implementations and the dashboard could be known: Characteristics of the users who entered the landing (target, age and gender). Traffic by day and time. Interactions on the landing. Navigation depth. Performance of the general campaign and segmented by channel, format, target and region. Performance of the campaign by keywords. Real investment data vs. Dear. User sentiment regarding the campaign. Insights about the behavior of the different segments.
