I'll be dead specific here because this is exactly the kind of margin-killer that keeps me up at night.
Tested a new jacket - 5-8 static creatives, fresh CBO, one broad ad set at $50/day. Three performed, one dominated hard. That winner kept converting day after day, so I doubled the budget to push it past learning phase faster. in my experience, once an ad set hits Learning Limited, delivery quality nosedives and performance falls off a cliff. heard people say it can still work, but personally, saw a massive difference the second it flipped.
Fast forward: ad exits learning, performance goes beast mode. Scaled to around $200/day, that single image pulling 15-20 purchases daily. Consistent.
Then Tuesday hit. been almost a week now. Purchases dropped to 7-8/day. Engagement slowed to a crawl - few likes and shares. But still seeing tons of ATCs and abandoned checkouts. Usually when engagement flows naturally, sales follow because people click through from the sales campaign itself. I'm not running any engagement campaign here.
What I did: made iterations of the same winning angle, launched them in a new ad set inside the same winning CBO. One iteration ran okay for two days, then tanked by day four - $48 CPA. Killed it.
now I'm back on the original winning image, hoping performance picks up.
Main question: what should I actually do? because I know the product has legs - still getting ATCs, abandoned checkouts, CTR is decent. so is Meta delivery just unstable again? End-of-month spending affecting conversion intent? Or am I testing/scaling wrong?
And the real kicker: when a winning fashion image ad starts dying, do I keep testing new iterations inside the same CBO, or leave the original untouched and launch entirely new CBO campaigns for each batch of creatives?
Would love answers from people running static image fashion ads profitably in 2026.