ICO STARTUP CASE STUDY

 

We conducted a study of 1200 ICOs and more than 100 factors that influence their fundraising. The main goal was to understand what marketing activities our client should invest in to raise at least $10M. We used all historic data from the ICOs as training data and machine learning models to predict the ICO return. We suggested that they postpone the distribution of tokens to one month and strengthen marketing. As a result, about $12M was raised through this ICO.

CASE STUDY ON PREDICTING WIND TURBINE POWER

 

We analyzed the age and gender of users before and after the VK ban, the distribution of users’ friends, and their subscriptions to various groups. (See p. 38-58 of the research).

benefits of predictive analysis