Data Science & Machine Learning helps us at Terragon to identify patterns in data and use these patterns to dynamically make predictions or decisions on a marketing campaign. Data is mined, pre-processed and machine learning algorithms are used on these data to make predictions. There 4 basic classifications of these predictions based on the kind of target/label of data available are Supervised, Unsupervised, Semi- Supervised and Reinforcement Learning.
Terragon leverages greatly on these techniques and methods to target the right campaigns to the right people at the right time.
This is a process that uses data mining techniques and probability to forecast outcomes. Predictive modelling is heavily used in online advertising and marketing. It uses historical data from diverse sources to determine what kinds of products and/or services users might be interested in.
The Click Through Rate (CTR) Optimization Model for any piece of marketing activities is the number of clicks that it generated as a percentage of the number impressions that were served. Achieving a high CTR is essential to the success of a digital campaign, it measures the interest level of users.
Our Look-alike Modeling process identifies people who look and act just like your target audiences. This tool analyzes your seed audience, identifies some key characteristics and finds users who are similar to your target.