30-second proof
Problem
The team needed to identify, prioritize, and coordinate product experiments that could improve advertisement spend while relying on clear metrics, operational signals, and cross-functional execution.
Product move
Aligned experiment goals with business advertisement spend outcomes and measurable product success metrics.
Result
Drove a 10% increase in business advertisement spend.
Context
Meta's advertising products operate in a high-scale environment where small improvements can create meaningful business impact. The work required collaboration across product, engineering, data, and stakeholder teams.
Problem
The team needed to identify, prioritize, and coordinate product experiments that could improve advertisement spend while relying on clear metrics, operational signals, and cross-functional execution.
Role
As Senior Product Manager, I coordinated experiments with engineering and data teams, monitored product performance metrics, and translated signals into prioritization and iteration decisions.
Product approach
Aligned experiment goals with business advertisement spend outcomes and measurable product success metrics.
Partnered with engineering and data teams to coordinate execution and measurement.
Used performance metrics and operational indicators to inform prioritization and ongoing improvements.
Decisions and tradeoffs
- Focused experimentation on measurable business impact.
- Used data signals to guide iteration instead of relying only on stakeholder preference.
- Balanced speed of learning with product quality and operational confidence.
- Kept cross-functional teams aligned around the experiment goal and success metrics.