- Testing the assumption whether a high number of likes on the brands’ page would impact users to consume posts.
- Testing the assumption whether using Facebook Ads (paying Facebook) would generate more user consumption of a post.
- Investigating the relationship between the total likes of the total likes of a brand page and whether their post is using Facebook Ads or not.
- uilding a regression model to predict post consumptions based on the company’s page total likes and whether the post is using Facebook Ads.
To read the easy report please klik this link
I couldn't provide you the dataset in this repo, please kindly download it on the UCI machine learning. After you download the file do the following steps:
- Clone this repo
- Put the datset file on the same folder as the notebook
- Feel free to explore or revamp the analysis
(Moro et al., 2016) Moro, S., Rita, P., & Vala, B. (2016). Predicting social media performance metrics and evaluation of the impact on brand building: A data mining approach. Journal of Business Research, 69(9), 3341–3351.