Overview

The page is to analyze the data coming from the Twitter account and create insights which could lead to stronger conversion rate and higher exposure, so that the content could reach out to a more range of audience.

This document will analysze the dataset by answering following questions and provide the ground for following up A/B testing.

Questions to answer

1. What type of the content would be more favorable in respect of Twitter recommendation algorithm
2. At what time slot (i.e. in the day / week) the content would be assessed by more audience
3. What type of the content would lead to a higher conversion rate of Twitter followers
4. Is there any differences between the content appealing to organic traffic and recurring visits
5. Potential follwer segment of the account and is there any different engagement strategy
6. How to respond to potential content policy and restrictions from Twitter official