Andromeda Algorithm
meta-specificMeta's Andromeda Algorithm Update
Definition
Meta's major algorithm update that improved machine learning and made broad targeting more effective than detailed targeting.
How to Calculate Andromeda Algorithm
N/A - Algorithm Update
Example
Scenario: Campaign with broad targeting outperforming detailed interest targeting
Calculation: Broad: 4.2x ROAS vs Interest-based: 3.1x ROAS
What's a Good Andromeda Algorithm?
Post-Andromeda, broad campaigns often outperform detailed by 20-40%
Common Mistakes
- Still relying heavily on detailed targeting post-Andromeda
- Not testing broad audiences for fear of wasted spend
💡 Expert Tip
Give Meta's algorithm more data with broader targeting. Let the machine learning find your customers instead of trying to define them manually.
— Based on $100M+ in managed ad spend
Related Terms
By Kristijan Arapov • Based on $100M+ in managed ad spend • Updated 2026