Rare Mile worked with a silicon valley startup to analyze user's social behaviour for user segmentation
A silicon valley start up wanted to develop an analytics platform that could gather intelligence about users' preferences and social behaviour pertaining to their products and offerings. This data could then be used for targetted selling of products and services to the users.
The developed platform was expected to have the following features
Rare Mile worked with the client's team to collect publicly available users' data from Facebook and Twitter and apply text analysis rules on top of the data to produce analytics. The solution also used Natural Language Processing (NLP) capabilities to infer likes and dislikes from the data. The system was also integrated with two external websites to enrich the product feed before running analysis on it.
Rare Mile proposed and implemented a solution with the following features: