From 9e901663afe16b656cb3d9f11eff59fa0a75ff34 Mon Sep 17 00:00:00 2001 From: Mohit Goel <55006916+MohitGoel92@users.noreply.github.com> Date: Sat, 3 Oct 2020 12:33:22 +0100 Subject: [PATCH] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index da8d53b..b620ea8 100644 --- a/README.md +++ b/README.md @@ -6,6 +6,6 @@ In todays market, companies have apps that are free but also provide paid versio **Product:** Paid memberships often provide enhanced versions of the free products already given for free, alongside new features. For example, YouTube Red allows you to leave the app while the audio from the video is still playing. -**Goal:** The aim of the model is to predict which users will not subscribe to the paid membership, so that greater marketing efforts can go into trying to convert them to be paid users. This selection of people can be referred to as the 'persuadables'. The term 'persuadables' was used during the Brexit campaign by data scientists who spent effort targetting voters who were deemed to have a Brexit voting probability of around 50% ± p%, where p% was pre-agreed threshold (e.g. 10%). This was so that voters who were hovering around 50% (on the fence about voting for Brexit) could be pushed into making a firm decision for voting for Brexit. +**Goal:** The aim of the model is to predict which users will not subscribe to the paid membership, so that greater marketing efforts can go into trying to convert them to be paid users. This selection of people can be referred to as the 'persuadables'. The term 'persuadables' was used during the Brexit campaign by data scientists who spent effort targetting voters who were deemed to have a Brexit voting probability of around 50% ± p%, where p% was a pre-agreed threshold (e.g. 10%). This was so that voters who were hovering around 50% (on the fence about voting for Brexit) could be pushed into making a firm decision for voting for Brexit. **Data Source:** https://www.kaggle.com/biphili/customer-behavior-app-data-analysis