Data-driven growth and revenue forecasting for a diets and fitness platform
Discover how we turned fitness and nutrition data chaos into clear insights — slashing churn and boosting plan sales with a next-level analytics overhaul.
Lower churn and
customer retention
by analyzing diets sales to spot drop-offs and promote additions that boost loyalty
Self-service
analytics
with 8 new interactive dashboards tailored for dietitians and trainers
Access to the latest data
in hours, not days
thanks to a new ELT pipeline, which enabled faster decision-making process
Client results
We built a modern data warehouse by connecting multiple sources, enabling data-driven decisions across marketing, operations, and development.
This allowed us to answer key questions such as:
Which diet add-ons like ebooks, video consultations or menu exchanges increase users’ likelihood to renew their subscriptions, and which diet bundles have the highest sales potential?
How should new diet and training bundles be structured to maximize profit, and how will those changes improve revenue forecasting for the upcoming year?
Which user segments should be prioritized in the marketing and sales strategy to drive conversions and minimize churn — and how can we predict a potential increase in churn before it happens?
Our challenges
- Lack of data transparency and trust across the organization
- Missing analytics infrastructure which delays business insights
- Complex data sources without scalable pipelines
- Need to forecast revenue and support AI initiatives
- Desire to reduce churn by understanding usage patterns
The client struggled with fragmented data and limited analytical capabilities that undermined decision-making. Integrating complex sources delayed business intelligence, and the absence of forecasting tools restricted strategic growth planning. Our project aimed to unify these challenges, enabling the client to become a data-driven organization.
Automatic daily data refreshes
Previously, the client relied on time-consuming manual data extraction processes. We established an automated ELT pipeline with daily updates that consolidated multiple mixed data sources into a trusted data warehouse.
This automation eliminated the need for manual extracts and enabled real-time data availability, providing the foundation for data-driven decision-making across the entire organization.
Forecasting revenue impact of training and diet plans
We developed a custom revenue forecasting engine integrated directly with the BI dashboards. This tool allows the client’s leadership to set precise sales targets, track progress toward revenue goals, and simulate how adding different diets or bundles will impact overall revenue — enabling proactive and strategic financial planning.
Data-driven insights and user retention
By analyzing various data, such as sales, app activity or payments, we identified behaviors and patterns strongly linked to customer retention and churn. Our dashboards highlight these insights, empowering marketing and product teams to promote specific diet add-ons and improve subscription renewal rates effectively.
Example of one analyzed process among many that identified the most frequently purchased diet and training plans:
Solution architecture
We designed and implemented a scalable data ecosystem using modern cloud-native tools.
See more of our work
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