
Manual bid and cost caps in Meta ads often fail because they ignore product Average Order Value (AOV), causing algorithms to disproportionately favor lower-priced items that are easier to convert. This misalignment results in wasted spend on low-margin products while starving higher-value inventory of necessary traffic. To maintain profitability, media buyers must ensure ad sets are AOV-coherent by either isolating individual products or grouping those with similar price points. Beyond structural adjustments, optimizing site-level factors—such as pricing, merchandising, and in-cart upsells—can normalize AOV and improve overall account stability. Decisions regarding these changes require sufficient data, typically at least 30 to 100 purchases, to avoid reacting to statistical noise. Ultimately, successful scaling depends on aligning ad-level controls with the broader economic profile of the brand’s product catalog.
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