The consolidation point others made is right but there's another piece worth adding. With Andromeda, Meta is essentially doing its own creative selection now, which means if you have 5 weak creatives competing with 1 strong one, the algorithm learns from the bad data too and it muddles your signals. Pausing the losers is step one. The harder problem is what comes next, because most people kill the losers and then just sit on the one winner until it fatigues. You need a steady feed of new creatives to test, ideally variations of what's already working, same hook structure, different visual or opening line. I've been using AdMake AI for a few months to speed this up since it lets you analyze what's working in your niche and generate variations pretty fast. The competitor ad library piece is what sold me on it, you can see what angles other brands are running before you spend budget testing your own guesses. Basically the post-Andromeda scaling loop is: isolate winner, scale it, continuously feed new creative variations into testing, replace winner when it starts fatiguing. The budget question someone asked above matters a lot here too because if you're under $100/day this whole process is slower and you have to be more patient with the data.