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Using statistical analysis to analyze the impact of recency to the amount of purchases

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The Impact of Page Likes and Facebook Ads to Facebook’ Lifetime Post Consumptions Metric

Objective

  1. Testing the assumption whether a high number of likes on the brands’ page would impact users to consume posts.
  2. Testing the assumption whether using Facebook Ads (paying Facebook) would generate more user consumption of a post.
  3. 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.
  4. 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

The dataset and How to use

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:

  1. Clone this repo
  2. Put the datset file on the same folder as the notebook
  3. Feel free to explore or revamp the analysis

References

(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.

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