Data-driven identification of high-value user accounts
Notable increase in user engagement
Individual focus on different user groups
The California-based global microblogging and social networking website company wanted to segment its users based on certain markers and attributes that drive the growth of an account or a post.
Quantiphi developed an end-to-end solution leveraging the clustering model to segment users with similar behavioral attributes into groups.
Extensive driver’s analysis was performed to identify the metrics and attributes that have a propensity to drive post and follower growth.
A custom UI was then built to display different clusters that were created using the clustering model.