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Project Duration
5 Months
Client Industry
Services and Product subscriptions
Target Markets
United States

Audiio

Subscription Analytics Platform for Advanced Churn and Cohort Intelligence

Technology Stack

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Client Overview

Challenges in Modeling Subscription and Business Metrics

Audiio is a subscription-based music licensing platform that provides filmmakers, content creators, and marketers with unlimited access to a high-quality library of royalty-free music and sound effects. Designed for both commercial and creative use, Audiio offers affordable licensing plans that empower users to enhance their projects with professionally curated audio content.


Solutions Delivered

Centralized Stripe subscription data warehouse

Near real-time ETL with Stitch

Modeled churn, cohorts, retention metrics

Visualized CLV, MRR, churn trends

Team Composition

Data Warehouse Engineer

BI Analyst

Subscription Analytics Consultant

Client Success Liaison

Engagement Type

Subscription Analytics Initiative / Fixed-Term

Key Challenges

Challenges in Modeling Subscription and Business Metrics

Raw Stripe Data Normalization

Data needed to be reshaped for retention, churn, and cohort modeling.

Cross-Time Cohort Tracking

Aligning users across time windows while preserving subscription lifecycle.

Business KPI Alignment

Translating data outputs into marketing and product-relevant business insights.

Strategic Roadmap

The initiative began with extracting data from Stripe using Stitch and centralizing it into BigQuery. Once structured, transformation logic was built to support churn rate, retention curves, and monthly cohort comparisons. Key KPIs like Customer Lifetime Value (CLV) and Monthly Recurring Revenue (MRR) were derived and visualized using Looker Studio.

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We automated data replication from Stripe to BigQuery using Stitch, ensuring consistent and up-to-date data refreshes. Churn and cohort modeling was implemented in SQL to define time-based metrics aligned with business definitions.

Execution Approach

Subscription Analytics with Automated ETL and KPI-Driven Insights

We automated data replication from Stripe to BigQuery using Stitch, ensuring consistent and up-to-date data refreshes. Churn and cohort modeling was implemented in SQL to define time-based metrics aligned with business definitions.
In Looker Studio, we built self-service dashboards tailored for product, marketing, and leadership teams to support faster insights. Throughout the process, KPIs were refined through iterative validation with stakeholders, improving usability and trust in the metrics.
This setup enabled reliable subscription analytics and accelerated decision-making across key business functions.

BUSINESS IMPACT

Improved Retention Strategies
Optimized Marketing Spend
Data-Driven Forecasting
Faster Executive Reporting

15%

churn reduction via targeted retention strategies

10%

MRR increase from stable engagement


18%

CLV growth through plan optimization