Potential Customer Profit Calculation by Rule Based Classification

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Problem

A game company wants to create level-based new customer definitions (personas) by using some features of its customers, and to create segments according to these new customer definitions and to estimate how much the company can earn on average from new customers based on these segments.

For example: The company wants to determine how much a 25-year-old male user from Turkey, who is an IOS user, can earn on average to the company.

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Dataset

Persona.csv data set contains the prices of the products sold by an international game company and some demographic information of the users who buy these products. The data set consists of records created in each sales transaction. This means that the table is not singularized. In other words, a user with certain demographic characteristics may have made more than one purchase.

• Price: Customer's Spending Amount
• Source: Customer's Device
• Sex: Customer's Gender
• Country: Customer's Country
• Age: Customer's Age

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View of dataset before process

PRICE   SOURCE    SEX    COUNTRY   AGE
 39     android   male     bra     17
 39     android   male     bra     17
 49     android   male     bra     17
 29     android   male     tur     17
 49     android   male     tur     17

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View of dataset after process

CUSTOMER_LEVEL_BASED            PRICE       SEGMENT
bra_android_female_0_18        35.6453         B
bra_android_female_19_23       34.0773         C
bra_android_female_24_30       33.8639         C
bra_android_female_31_40       34.8983         B
bra_android_female_41_66       36.7371         A

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Installation

1. Clone this repository

https://github.com/nedimcanulusoy/Rule-Based-Classification.git

2. Change directory to the cloned repository

cd Rule-Based-Classification

3. Open the notebook and run the cells

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Disclaimer

The data set is not included due to General Data Protection Regulation (GDPR) rules.

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