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We will be analysis data obtained from a mobile application company in order to analyse customer behaviour.

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MohitGoel92/Customer-Mobile-Application-Behaviour-Analysis

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Directing customers to subscription products through app behaviour analysis.

In todays market, companies have apps that are free but also provide paid versions of the app which have additional features. An example of this is YouTube Red. Since marketing is always costly to companies, it will be beneficial to know exactly who to target with offers and promotions.

Market: The target audience are customers who use the companys free product. In this case study, this refers to users who downloaded and used the free app.

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 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

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We will be analysis data obtained from a mobile application company in order to analyse customer behaviour.

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