Small teams should treat Apple Ads as a learning loop first. The danger is spending like acquisition is proven before the search terms, product page, and pricing are ready.
Separate discovery from winners
Keep broad discovery terms away from exact-match winners. Discovery is allowed to explore; winner campaigns should be controlled.
Set a learning budget
Decide how much you are willing to spend to learn which queries matter. Stop the test when the terms are clearly irrelevant or when you have enough evidence to promote winners.
Cut irrelevant search terms quickly
Negative keywords protect the budget. Remove terms that attract the wrong category, wrong platform, wrong buyer, or users looking for something your app does not do.
Fix the product page before scaling
If TTR is acceptable but conversion is weak, bigger bids may only buy more weak traffic. Improve screenshots, reviews, pricing, or keyword intent first.
Separate learning from scaling
Discovery campaigns should find language. Exact campaigns should test known terms. Scaling should happen only after conversion and downstream quality are clear.
Review search terms early
Waste usually appears in the search terms report: wrong platform, wrong category, free-seeking users, broad competitor traffic, or unrelated feature searches. Add negatives with intent.
Fix the listing before raising spend
If taps do not convert, more budget will only buy more leakage. Improve screenshots, reviews, pricing, or keyword fit before increasing bids.