Data strategy
Financial service
Boost revenue with data strategies
Client
Sofia Martinez
Service
Data strategy
Category
Financial service
Locations
Spain
Marketing decisions were backed by activity data, but leadership needed clearer strategy around which channels could scale profitably.
Tough situation ahead!
The team had access to performance data, but it was not connected to a confident growth strategy. Without a clearer decision framework, marketing activity was difficult to compare and revenue planning remained less predictable than leadership needed.
Channel data was available but not strategically connected.
Revenue forecasting needed stronger alignment with acquisition planning.
Experiment results were difficult to compare across teams.
Leadership needed clearer visibility into quality of growth.
Marketing plans were not always tied to revenue timing.
Here’s how we tackled it.
We built a data strategy that connected acquisition signals, conversion quality, and revenue planning into a sustainable growth model.
We also introduced a measurement rhythm that helped the team evaluate experiments by revenue quality instead of surface-level activity.
Implementation
The company needed a stronger operating model for turning raw performance data into confident growth decisions.
Built channel-level performance dashboards.
Aligned growth experiments with revenue targets.
Defined revenue-quality indicators for campaigns.
Built a repeatable experiment review process.
Connected forecasting with channel investment decisions.
