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Meta & paid social

Andromeda

Andromeda is the name associated with Meta’s machine-learning retrieval engine that selects which ads to consider for each opportunity — the system behind the platform’s improved ability to match ads to people from a huge candidate pool.

— In practice

Andromeda sits at the retrieval stage of Meta’s ad system: from an enormous pool of eligible ads, it narrows to the strongest candidates for a given person and moment before the auction ranks them. Its improvement is a large part of why broad targeting and consolidated structures now outperform manual segmentation — the system is simply better at finding the right ad from more options.

For operators the practical implication is not a setting to change but a strategy to accept: give the system more high-quality creative to retrieve from and cleaner signal to judge with, because a better retrieval engine rewards variety and punishes thin, repetitive creative pools.

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