Subscriber Analysis
Strategic analysis of Wattpad's subscription trends, driving revenue growth by identifying key factors for optimizing premium service offerings.
Subscriber Analysis
Strategic analysis of Wattpad's subscription trends, driving revenue growth by identifying key factors for optimizing premium service offerings.
Subscriber Analysis
Strategic analysis of Wattpad's subscription trends, driving revenue growth by identifying key factors for optimizing premium service offerings.
Project
Applied Research
Qualitative Applied Research
Role
Data Scientist
Year
2023 - 2024
Situation
In the wake of Wattpad's acquisition by Naver, there was an imperative need to accurately understand the subscription preferences among our vast user base. Despite having 90 million monthly users, a misconception prevailed regarding the proportion of paying users. My role was to debunk these assumptions by providing Naver stakeholders with hard data, revealing that less than 2% of users subscribe, with a preference for the base premium subscription over premium plus. The task at hand was not only to analyze the current subscription trends but also to provide forecasts, leveraging Python and machine learning to create 3D visualizations of sales trends. This analysis was crucial for informing future marketing and product development strategies, aiming to align with user preferences and drive revenue growth.
Situation
In the wake of Wattpad's acquisition by Naver, there was an imperative need to accurately understand the subscription preferences among our vast user base. Despite having 90 million monthly users, a misconception prevailed regarding the proportion of paying users. My role was to debunk these assumptions by providing Naver stakeholders with hard data, revealing that less than 2% of users subscribe, with a preference for the base premium subscription over premium plus. The task at hand was not only to analyze the current subscription trends but also to provide forecasts, leveraging Python and machine learning to create 3D visualizations of sales trends. This analysis was crucial for informing future marketing and product development strategies, aiming to align with user preferences and drive revenue growth.
Situation
In the wake of Wattpad's acquisition by Naver, there was an imperative need to accurately understand the subscription preferences among our vast user base. Despite having 90 million monthly users, a misconception prevailed regarding the proportion of paying users. My role was to debunk these assumptions by providing Naver stakeholders with hard data, revealing that less than 2% of users subscribe, with a preference for the base premium subscription over premium plus. The task at hand was not only to analyze the current subscription trends but also to provide forecasts, leveraging Python and machine learning to create 3D visualizations of sales trends. This analysis was crucial for informing future marketing and product development strategies, aiming to align with user preferences and drive revenue growth.
Task
My task was to implement an analytical study of Wattpad's subscription data using Python to decipher purchasing patterns for Premium services. The mission was to construct a 3D visualization of sales trends, aiding in the prediction of user behavior and facilitating data-driven decisions for revenue optimization in product and service offerings.
Task
My task was to implement an analytical study of Wattpad's subscription data using Python to decipher purchasing patterns for Premium services. The mission was to construct a 3D visualization of sales trends, aiding in the prediction of user behavior and facilitating data-driven decisions for revenue optimization in product and service offerings.
Task
My task was to implement an analytical study of Wattpad's subscription data using Python to decipher purchasing patterns for Premium services. The mission was to construct a 3D visualization of sales trends, aiding in the prediction of user behavior and facilitating data-driven decisions for revenue optimization in product and service offerings.
Requirements Definition
Defined research requirements with stakeholders to address knowledge gaps. This involved understanding business questions and data structures, enabling the development of fast, efficient SQL queries for scalable data analysis.
Requirements Definition
Defined research requirements with stakeholders to address knowledge gaps. This involved understanding business questions and data structures, enabling the development of fast, efficient SQL queries for scalable data analysis.
Requirements Definition
Defined research requirements with stakeholders to address knowledge gaps. This involved understanding business questions and data structures, enabling the development of fast, efficient SQL queries for scalable data analysis.
Data Collection
Collected comprehensive purchase data using SQL. Learned the intricacies of Wattpad's data structure to perform efficient queries that could validate our hypotheses at scale.
Data Collection
Collected comprehensive purchase data using SQL. Learned the intricacies of Wattpad's data structure to perform efficient queries that could validate our hypotheses at scale.
Data Collection
Collected comprehensive purchase data using SQL. Learned the intricacies of Wattpad's data structure to perform efficient queries that could validate our hypotheses at scale.
Trend Forecasting
Applied machine learning to predict purchasing behavior. Analyzed sales data to discern trends and prepare for market changes, aiming to align future marketing efforts and inventory management with consumer preferences.
Trend Forecasting
Applied machine learning to predict purchasing behavior. Analyzed sales data to discern trends and prepare for market changes, aiming to align future marketing efforts and inventory management with consumer preferences.
Trend Forecasting
Applied machine learning to predict purchasing behavior. Analyzed sales data to discern trends and prepare for market changes, aiming to align future marketing efforts and inventory management with consumer preferences.
Data Visualization
Created a 3D plot for a vivid depiction of sales trends. This visual representation facilitated a clear understanding of the dynamic preferences between Premium and Premium Plus products.
Data Visualization
Created a 3D plot for a vivid depiction of sales trends. This visual representation facilitated a clear understanding of the dynamic preferences between Premium and Premium Plus products.
Data Visualization
Created a 3D plot for a vivid depiction of sales trends. This visual representation facilitated a clear understanding of the dynamic preferences between Premium and Premium Plus products.
Business Strategy
Translated analytical insights into actionable business strategies. These insights are crucial for maximizing sales, improving customer satisfaction, and offering the right product mix at the right time.
Business Strategy
Translated analytical insights into actionable business strategies. These insights are crucial for maximizing sales, improving customer satisfaction, and offering the right product mix at the right time.
Business Strategy
Translated analytical insights into actionable business strategies. These insights are crucial for maximizing sales, improving customer satisfaction, and offering the right product mix at the right time.
Result
The 3D plot analysis revealed dynamic preferences for Premium and Premium Plus products in 2023. Initially, Premium products dominated, but later, Premium Plus gained more popularity. This trend suggested a potential increase in demand for Premium Plus in the future. Strategically, this insight was vital for aligning marketing efforts and managing inventory, ensuring that stock levels met the shifting consumer preferences. This approach helped maximize sales and improve customer satisfaction by offering the right product mix at the right time.
Result
The 3D plot analysis revealed dynamic preferences for Premium and Premium Plus products in 2023. Initially, Premium products dominated, but later, Premium Plus gained more popularity. This trend suggested a potential increase in demand for Premium Plus in the future. Strategically, this insight was vital for aligning marketing efforts and managing inventory, ensuring that stock levels met the shifting consumer preferences. This approach helped maximize sales and improve customer satisfaction by offering the right product mix at the right time.
Result
The 3D plot analysis revealed dynamic preferences for Premium and Premium Plus products in 2023. Initially, Premium products dominated, but later, Premium Plus gained more popularity. This trend suggested a potential increase in demand for Premium Plus in the future. Strategically, this insight was vital for aligning marketing efforts and managing inventory, ensuring that stock levels met the shifting consumer preferences. This approach helped maximize sales and improve customer satisfaction by offering the right product mix at the right time.