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5. Cluster Analysis (Investment Startup)

Background

The Indonesian investment startup has developed an application for buying and selling mutual funds (reksadana). Next month, the marketing team wants to create a thematic campaign based on user preferences.


Problem Definition

As the data analyst in this investment startup, I have been tasked with creating customer segmentation for the campaign and providing theme recommendations for each segment.


Objective

  • Analyze the characteristics of users who make transactions in each mutual fund

  • Create a segmentation for the thematic campaign based on user preferences

  • Provide recommendations for themes for each campaign


Task & Actions


Result

This data analysis revealed four distinct segments based on user investment behavior, demographics, and investment amount. The segments and themes of the campaign are:

  • Newbie Investors: Focus the campaign on educating about mutual funds and facilitating easy investment with services such as risk profile checks and mutual fund recommendations.

  • Risk-Averse Investors: Highlight the campaign by showcasing the stability, low risk, and consistent returns of short-term investments.

  • Balanced Investors: Showcase the potential for enhanced returns by investing in various mutual funds.

  • Wealth Builders: Highlight the campaign by emphasizing the optimization of investments and achieving higher long-term returns.

Full Deck

Python Code

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