Iomob
More strategic data-driven decisions for the startup betting on more accessible, integrated mobility.
100% Data unified
More strategic data-driven decisions for the startup betting on more accessible, integrated mobility.
Iomob is a Spanish startup connecting multiple transport services in a single app, making mobility more accessible and integrated. At Boost, we helped them overcome data management and interpretation challenges, implementing visualization solutions that allowed them to better understand their users, optimize their product, and make informed decisions that drove growth.
The challenge
Their infrastructure had fragmented databases and incorrect Google Analytics 4 implementation, hindering a clear view of user behavior. Added to this was a large volume of uninterpreted information and undetected app errors compromising user experience.
Our solution
At Boost, we tackled the challenges with an integral approach: we unified their databases in BigQuery, corrected the GA4 implementation, and enabled an advanced analytics system to detect errors and improve UX. We also developed real-time situation maps and trained their team in data interpretation.
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Data unified
Live dashboards
Decision speed
Strategies implemented
Some of the highest-return strategies executed in this project.
Understanding global user volume
Action
Through app engagement studies and database unification, Iomob gained a clear, precise view of their user volume.
Result
Understanding of the application's scale of impact and global reach.
User engagement study and analysis
Action
Implementation of analysis and visualization tools to study user behavior in detail: most-used features, usage patterns, and key moments.
Result
Application optimization and user experience improvement based on real behavioral data.
Data reliability and precise measurement
Action
Proper GA4 implementation and BigQuery database setup to ensure reliable, precise data.
Result
Clear view of application performance and business strategy effectiveness with trustworthy data.
Conclusions and learnings
Existing data was leveraged to obtain valuable insights and improve decision-making.
Implemented solutions facilitated better understanding of user behavior.
Product and user experience optimization was achieved.
Analytics and visualization tools directly contributed to commercial growth and success.
Iomob's experience demonstrates that a data-driven strategy can make the difference in product evolution and business decision-making.
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