Andromeda is the name for Meta's upgraded AI-powered ad ranking and delivery system — an internal system that determines which ads are shown to which users across Facebook and Instagram. The Andromeda update introduced significant changes to how Meta's algorithm processes audience signals, evaluates creative quality, and distributes ad delivery, shifting the platform further toward an AI-first model where Meta's systems take a more dominant role in deciding who sees your ads rather than relying purely on the targeting parameters advertisers set manually.

Common signs of Andromeda-related performance changes include a noticeable increase in CPM without a corresponding change in your bid strategy, shifts in the demographic breakdown of who your ads are reaching, a decline in reach efficiency on campaigns that were previously stable, and ad sets that previously exited the learning phase reliably now taking longer to stabilise. This tutorial includes a dedicated module on diagnosing these symptoms and distinguishing Andromeda-related issues from other campaign problems.

Not necessarily a complete rebuild — but some structural adjustments are likely needed for most accounts. The Andromeda update particularly affects campaigns with highly fragmented ad set structures and very narrow audience targeting, as these approaches work against the way Meta's updated AI delivery system learns and optimises. This tutorial gives you specific guidance on which structural changes make the most difference and how to prioritise them.

Interest-based targeting still works, but it carries less weight than it did before Andromeda. The update has significantly expanded the role of Meta's Advantage+ audience tools and broad targeting, which now allow Meta's AI to find the most responsive users within or beyond your specified parameters. This tutorial explains exactly how to balance manual audience signals with Meta's automated delivery tools for the best results under the updated system.