Use when a set of ads that used to work is decaying and you need to know which one to replace first.
Replace each placeholder with your own detail. The more specific you are, the less the model invents.
When ads that used to work are decaying and the plan is to replace all of them. Wholesale refreshes throw away the ads still performing and teach you nothing about why the others stopped. This separates genuine fatigue from creative that never worked at all, and that distinction changes what you brief next.
Weekly splits per creative with frequency, CTR and CPA, because decay is invisible inside a lifetime average. Then {{CREATIVE_DESCRIPTIONS}} of what each one shows and says, {{AUDIENCE_CONTEXT}} including whether targeting changed, and an honest {{PRODUCTION_CAPACITY}}, since the refresh order is sized to what you can actually deliver in a fortnight.
A verdict per creative with anything under a week live or 1,000 impressions held out of the ranking, an audience versus creative diagnosis naming the figure that decided it, a capacity-sized refresh order, and the element common to everything still working. That last line is the most useful output, because it tells you what to shoot.
Commissioning new creative when the diagnosis points at the audience. Rising frequency with flat CTR means you have run out of people rather than out of ideas, and widening the targeting is cheaper than a shoot. When you do replace something, change one element at a time or the refresh teaches you nothing about which change worked.