subscription-analytics

MRR tracker for the macOS menu bar — free and open source. One total from Stripe, RevenueCat, Paddle, Lemon Squeezy, Polar, Dodo Payments and Gumroad. No account, no server: your API keys stay in the macOS Keychain.

Effortless in-app purchase management and revenue growth for mobile and beyond

Open-source, local-first usage and subscription analytics for AI coding agents — tokens, costs, activity, quotas, and optional privacy-controlled sync.

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.

BigQuery SQL for transforming subscription data into customer-level MRR movements and a reconciled monthly bridge.

A Power BI cohort retention heatmap analyzing monthly subscriber churn trends from September 2022 to September 2023.

Backend for SaaSfit, turning Stripe billing data into deterministic signals, evidence-based diagnoses, prioritized actions, and founder-ready reports.

Admin reporting for WooCommerce Subscriptions — active, churn & MRR trends with charts, immutable monthly snapshots, CSV export, scheduled email, and a REST/CLI API.

Alternative-data methods for independent TMT research: entity resolution, panel measurement, pipelines, and dashboards.

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

Python toolkit for simulating SaaS subscriptions and analyzing business metrics using the Razorpay API in test mode

Subscription metrics semantic layer: dbt models, documented definitions, and a harness measuring how wrong the plausible answer is.

Cohort-driven subscriber forecasting with Weibull survival, SARIMA gross adds, and cohort stacking

Predict 14-day subscription trial conversion from first-three-day engagement using logistic regression and XGBoost. Python, scikit-learn, PostgreSQL, and growth analytics.

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.

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.