What typically happens if an ad set does not achieve about 50 optimization events?

When an ad set does not achieve about 50 optimization events, it typically becomes learning limited. This status occurs because the Facebook ad delivery system relies on a sufficient amount of data to optimize its targeting and delivery effectively. When there are insufficient events (like conversions or clicks), the algorithm lacks the necessary information to make optimal decisions, which can prevent the ad set from reaching its full potential.

Being in a learning limited state means that the ad set is not able to exit the learning phase, where it is experimenting with different audience segments and placement options to find the most effective combination. As a result, the ad performance may stagnate, leading to lower effectiveness and overall performance of the campaigns.

In this context, achieving 50 optimization events is considered a benchmark that helps the system learn and adapt over time. This allows for improved audience targeting, better bidding strategies, and more effective ad placements as the system gathers data and learns from user interactions.