Effortless in-app purchase management and revenue growth for mobile and beyond
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Updated
Apr 8, 2026 - Swift
Effortless in-app purchase management and revenue growth for mobile and beyond
Data models for Fivetran's Zuora transformation package, built using dbt.
Why manual SaaS analytics tools waste your time — and how Chartsy fixes it all in one place.
Python CLI to fetch all Chargebee account data and run rule-based subscription analytics: churn prediction, revenue forecasting, CLV, customer segmentation, payment failure detection, anomaly detection, and more.
AI-powered subscription health monitor using RevenueCat Charts API
Analysis of Netflix user behavior, demographics, and subscription data to optimize engagement and marketing strategies.
RevenueCat Charts API analytics
API and integration profile for ProfitWell.
SaaS Subscription & Churn Analytics | SQL Server + Power BI | 40+ queries across 4 complexity levels | MRR, ARR, churn drivers, feature usage, support impact | 3-page interactive dashboard built on normalized relational database.
A Subscription case study fully in excel
Python toolkit for simulating SaaS subscriptions and analyzing business metrics using the Razorpay API in test mode
📊 Subscription Churn Analysis (OTT / SaaS) is an end-to-end data analytics and machine learning project designed to analyze customer churn behavior, identify key retention factors, and predict churn probability for subscription-based platforms such as OTT streaming services and SaaS products.
Cohort-driven subscriber forecasting with Weibull survival, SARIMA gross adds, and cohort stacking
API and integration profile for ChartMogul.
Customer retention and churn analysis project using SaaS subscription data. Includes cohort analysis, churn patterns, customer lifetime trends, dashboard visuals, and business recommendations.
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