Facebook Creator Monetization

Using GenAI to Improve Creator Performance

Developed a robust GenAI-powered platform to transform Facebook's performance data into actionable growth strategies for creators.

PROBLEM

While Facebook provided creators with performance data, a gap existed between this data and actionable strategies for growth.

My challenge was to transform this static data into dynamic, personalized insights using GenAI, ensuring these recommendations were both effective and aligned with our legal and policy standards.

PROCESS

PLAN

  • Build consensus on key growth levers

  • Construct a dynamic template

TRAIN

  • Train model on template

  • Build confidence that model will produce reliable outputs through iterative testing

REFINE

  • Mitigate legal risk by partnering with Eng to modify model outputs

  • Write string descriptions, send for translation

SOLUTION

— Key to this project's success was finding a way to deliver metrics in a way that felt personalized and actionable, regardless of the direction of the metrics.

—Design a dynamic template to systematically incorporate both positive and negative metrics.

—Facilitate review of model-generated copy to mitigate legal risk in a sensitive area (metrics regarding performance data, strategies for growth within the Facebook ecosystem).

RESULTS

We successfully developed a robust GenAI-powered platform that transforms Facebook's performance data into actionable growth strategies for creators and the project is ready for launch.

My strategic development of a dynamic template was instrumental to the success of this project. This framework enabled the systematic integration of diverse metrics, facilitating effective GenAI model training and establishing a scalable, repeatable process for future GenAI projects.

In addition, my structured approach to reviewing and refining model-generated content streamlined collaboration with Legal and Policy teams, ensuring compliance and accelerating this project's progress.

Sketch of requirements

Model outputs

Copy in progress

Final entrypoint and experierence

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