Linking user behaviour to revenue for smarter product growth
Objective
Enable a global app with millions of users to optimise product performance by overlapping feature usage with lifetime value data.
Obstacle
Understanding not only which features were popular, but which actually drove revenue and subscriptions.
Outcome
Over 1000 hours of development saved by focusing on high return app features, and scaleable infrastructure.
Background
World of Peppa Pig is an educational app designed to engage and delight young children through interactive learning experiences. With a small development team supporting a massive global audience, the app required a scalable analytics solution to uncover which features maximised both engagement and revenue.
Operating across multiple countries, currencies, and subscription models, the team faced complex data challenges, from fragmented revenue tracking to inconsistent reporting. They turned to 173tech to design and implement a system that could translate raw usage data into actionable business insight.
Challenges
Starting Fresh: The app had no existing infrastructure for collecting, processing, or analysing data. Without a data pipeline or central repository, the team lacked visibility into user journeys, engagement trends, or feature performance.
Scaleability: Handling analytics for millions of users required a solution capable of supporting multiple markets, languages, and currencies. Performance and accuracy had to be maintained even as data volumes grew exponentially.
App Optimisation: The team’s primary goal was to identify and prioritise app features that would deliver the greatest impact on user satisfaction and subscription rates. They needed analytics to provide clear, actionable insights; such as understanding which features were most engaging, which drove users to subscribe, and which required improvement.
Solution
One Source Of Truth: A comprehensive Data Dictionary was created to formalise and standardise key data concepts, ensuring consistency across analytics efforts. It served as a blueprint for structuring the user journey, mapping out critical touchpoints, and defining metrics such as engagement rates, subscription triggers, and feature interactions.
The Right Tools: A reliable and efficient data pipeline was built to extract raw data from the app, model it into meaningful formats, and structure key app usage metrics for analysis. This automated system enabled real-time tracking of user behavior, feature engagement, and subscription patterns.
Currencies: Managing multiple currencies across global markets added complexity to revenue tracking. We simplified this through a standardised monthly FX rate, enabling consistent financial reporting while still serving detailed actuals to finance. This approach ensured accuracy without sacrificing usability.
Impact
Insightful Dashboards: We created interactive dashboards visualising app performance, engagement, and revenue metrics in real time. These tools allowed teams to explore trends by market, feature, or demographic, turning complex data into clear, actionable insights.
Linking Usage with Value: By overlapping behavioural data with lifetime value, we helped the team identify the features that truly drove long-term engagement and subscriptions. Not only were we able to provide detailed analytics on app usage, but we also directly linked these insights to subscription behavior and overall value generation. By understanding these dynamics, the team could pinpoint where to focus their efforts, ensuring that development priorities aligned with the features delivering the greatest impact on user satisfaction and revenue growth.
Broader Organisational Impact: The clarity and structure of the Data Dictionary proved so effective that it was later adopted as a best-practice model by Hasbro’s wider data team, extending 173tech’s impact beyond a single product to the global organisation.
Creating Value For Peppa Pig...
For over four years we supported this app,
Building features and entering 8 new markets internationally,
And saved them over 1157 development hours.
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