Calculate LTV for New SoFi Invest Members | Dataford Interview Questions - Dataford

Business Context

SoFi Invest, a leading investment platform, aims to enhance its customer acquisition strategy by understanding the lifetime value (LTV) of new members. Recently, marketing campaigns have successfully increased new user sign-ups by 30%, but the company needs to assess the financial impact of these new members over time.

Available Data

Data Source	Description	Granularity
user_profiles	Member demographics including sign-up date, referral source, and account type	Per user
transaction_history	Records of all trades and investment actions taken by users	Per transaction
revenue_data	Revenue generated from fees, commissions, and interest from investments	Monthly per user
engagement_metrics	User activity data, including login frequency and feature usage	Daily per user

Task

Define the lifetime value (LTV) metric specifically for SoFi Invest members, including its components.
Calculate the LTV using historical data, considering average revenue per user (ARPU) and average customer lifespan.
Decompose the LTV into its key drivers, such as transaction frequency, average transaction value, and retention rate.
Identify potential strategies to increase LTV based on your findings.
Propose metrics to monitor the effectiveness of these strategies over time.

Problem

Business Context

Available Data

Data Source	Description	Granularity
user_profiles	Member demographics including sign-up date, referral source, and account type	Per user
transaction_history	Records of all trades and investment actions taken by users	Per transaction
revenue_data	Revenue generated from fees, commissions, and interest from investments	Monthly per user
engagement_metrics	User activity data, including login frequency and feature usage	Daily per user

Task

Define the lifetime value (LTV) metric specifically for SoFi Invest members, including its components.
Calculate the LTV using historical data, considering average revenue per user (ARPU) and average customer lifespan.
Decompose the LTV into its key drivers, such as transaction frequency, average transaction value, and retention rate.
Identify potential strategies to increase LTV based on your findings.
Propose metrics to monitor the effectiveness of these strategies over time.

Problem

Business Context

Available Data

Data Source	Description	Granularity
user_profiles	Member demographics including sign-up date, referral source, and account type	Per user
transaction_history	Records of all trades and investment actions taken by users	Per transaction
revenue_data	Revenue generated from fees, commissions, and interest from investments	Monthly per user
engagement_metrics	User activity data, including login frequency and feature usage	Daily per user

Task

Define the lifetime value (LTV) metric specifically for SoFi Invest members, including its components.
Calculate the LTV using historical data, considering average revenue per user (ARPU) and average customer lifespan.
Decompose the LTV into its key drivers, such as transaction frequency, average transaction value, and retention rate.
Identify potential strategies to increase LTV based on your findings.
Propose metrics to monitor the effectiveness of these strategies over time.

Problem

Business Context

Available Data

Data Source	Description	Granularity
user_profiles	Member demographics including sign-up date, referral source, and account type	Per user
transaction_history	Records of all trades and investment actions taken by users	Per transaction
revenue_data	Revenue generated from fees, commissions, and interest from investments	Monthly per user
engagement_metrics	User activity data, including login frequency and feature usage	Daily per user

Task

Define the lifetime value (LTV) metric specifically for SoFi Invest members, including its components.
Calculate the LTV using historical data, considering average revenue per user (ARPU) and average customer lifespan.
Decompose the LTV into its key drivers, such as transaction frequency, average transaction value, and retention rate.
Identify potential strategies to increase LTV based on your findings.
Propose metrics to monitor the effectiveness of these strategies over time.