Effortless in-app purchase management and revenue growth for mobile and beyond
Data models for Fivetran's Zuora transformation package, built using dbt.
Open-source, local-first usage and subscription analytics for AI coding agents — tokens, costs, activity, quotas, and optional privacy-controlled sync.
Why manual SaaS analytics tools waste your time — and how Chartsy fixes it all in one place.
BigQuery SQL for transforming subscription data into customer-level MRR movements and a reconciled monthly bridge.
Admin reporting for WooCommerce Subscriptions — active, churn & MRR trends with charts, immutable monthly snapshots, CSV export, scheduled email, and a REST/CLI API.
Backend for SaaSfit, turning Stripe billing data into deterministic signals, evidence-based diagnoses, prioritized actions, and founder-ready reports.
Alternative-data methods for independent TMT research: entity resolution, panel measurement, pipelines, and dashboards.
Python toolkit for simulating SaaS subscriptions and analyzing business metrics using the Razorpay API in test mode
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.
Cohort-driven subscriber forecasting with Weibull survival, SARIMA gross adds, and cohort stacking
Subscription churn analysis using SQL to evaluate price-rise impact and cohort trends
📊 Aether Analytics | Interactive Power BI Sales & Revenue Dashboard for customer insights, category performance, seasonal trends, subscription analysis, and business intelligence. Project Workflow: Raw Dataset → Data Cleaning → Feature Engineering (SQL) → Data Modeling → Power BI Dashboard
AI-powered subscription health monitor using RevenueCat Charts API
This model Generates 2 years of synthetic user subscription and revenue event data for cohort retention analysis. It builds weekly and monthly cohort tables from subscription event data then computes retention curves, churn rates, and Net Revenue Retention (NRR) from the cohort tables.
Auditable subscription contribution and portfolio P&L analytics for fees, benefit costs, renewal, sensitivity, and executable SQL.
📊 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.
Analysis of Netflix user behavior, demographics, and subscription data to optimize engagement and marketing strategies.
Excel-based telecom customer churn dashboard with KPIs, pivot tables, and interactive slicers.
To associate your repository with the subscription-analytics topic, visit your repo's landing page and select "manage topics."