Mathematics to predict audience ratings
PROBLEM
Predicting the prime-time audience on the main networks in the near term in order to better plan programming and purchases of broadcast content.
SOLUTION
Development of a system based on machine learning to rapidly perform various scenario analyses and forecasting strategies.
+ Reduced estimation time share
+ Simple framework
Mobile advertising strategies
PROBLEM
The need to understand users’ behaviour and habits.
SOLUTION
A profiling algorithm was developed to classify users in relation to their offline behaviour.
+ Clustering
+ Greater adherence of the campaign to user’s interest
Television Programming Support
PROBLEM
The marketing departments of companies need to know not only which channel determines the last click, but how the customer arrives at the last click and then the buying behavior.
SOLUTION
A profiling algorithm was developed to classify users in relation to their offline behaviour.
+ Reduction of planning time
+ High profiling
Digital marketing: Customer Journey Analysis and Simulation of Win-Win Scanarios
PROBLEMÂ
Companies’ marketing departments need to know not only which channel determines the last click, but how the customer gets to the last click and thus to the purchasing behaviour.
SOLUTION
An algorithm able to independently track the contribution that each channel visited makes to the user’s conversion by analysing their entire customer journey was developed.
+ Customized simulations
+ Extensive analysis and interpretation
