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Frequency Capping

A control that limits the number of times a specific user sees a particular ad within a defined time period, preventing ad fatigue and wasted spend while maintaining a positive user experience.

Frequency capping sets maximum impression thresholds per user to prevent overexposure. A typical cap might limit a user to seeing the same ad no more than three times per day or ten times per week. Without frequency caps, programmatic systems tend to over-serve ads to the most reachable users, wasting budget and potentially creating negative brand associations.

For growth teams, frequency capping is a critical lever for balancing reach and efficiency. Too low a cap may not create enough exposure to drive conversion, while too high a cap wastes budget on users who have already decided not to engage. AI-powered frequency optimization goes beyond static caps by dynamically adjusting exposure based on user behavior signals. If a user has engaged with previous impressions, the model might allow additional exposure, while immediately capping users showing fatigue signals. Growth engineers should analyze the relationship between frequency and conversion rate in their data to identify the optimal exposure range for each campaign type and audience segment.

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