Lucas and Luna dig into one of the most under-appreciated levers in Facebook Ads: ad scheduling. They break down how Meta's delivery system decides when to show your ads, why 'always-on' isn't always optimal, and how advertisers can use dayparting to align with customer behaviour. Using the example of a D2C meal-kit brand that shifted ad delivery to weekday evenings, they show how a simple scheduling change lifted return on ad spend by 18 percent without increasing budget. They also explain the difference between ad scheduling and ad delivery controls, how Meta's machine learning interacts with time-based rules, and when it's smarter to let the algorithm decide. If you've ever wondered why your ads seem to vanish at certain hours, or why your delivery can feel lumpy, this episode is for you.
#FacebookAds #MetaAds #AdScheduling #Dayparting #ReturnOnAdSpend #D2C #DigitalMarketing #PaidSocial #AdDelivery #Marketing #BusinessPodcast #FexingoBusiness #SocialMediaAds #AudienceTargeting #AdOptimization #MachineLearning #Ecommerce #AdStrategy
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