Transforming Tonal’s Data Ecosystem to Reduce User Churn

Discover how we optimized Tonal's data pipelines, delivered powerful analytics, and implemented predictive modeling to drive growth and retention.

Predictive Analysis
Data Science
Customer Analysis
Tonal Training - Churn Prediction Cover

About Tonal

Tonal is a startup founded in San Francisco in 2015 and has raised 450 million USD, with a valuation of 1.6 billion. Its concept revolutionizes fitness and strength training with patented digital weight, machine learning, and expert coaching.

The Challenge

On this second project made for Tonal, they needed to manage complex data streams, including workout metrics, subscription details, and marketing analytics. Additionally, reducing user churn in their subscription model was critical to maintaining growth and profitability.

The Solution

We streamlined Tonal’s data pipelines using Snowflake, Databricks, and DBT. We delivered actionable insights through dashboards built with Looker and Amplitude, and tackled churn with analytics, including root cause analysis and predictive modeling.

Our partnership enabled Tonal to:

  • Enhance user experiences with seamless data insights.
  • Improve operational efficiency with robust analytics.
  • Reduce churn through proactive engagement strategies.

Impact

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