A product can have a natural rank ceiling on a specific search term — e.g., stuck at #17 — because the products ranked above it convert better on that specific term, independent of how similar the niches otherwise are. Pushing ad spend past that ceiling doesn't buy more rank; it wastes budget on a term you can't out-convert.
Diagnostic method: compare your own ad conversion rate on a keyword against Data Dive Search Query Performance's "average competitor conversion rate" for that same term. Meaningfully below the competitor average with no realistic way to close the gap (listing/image changes) signals you've hit your ceiling on that term — stop pushing spend there. At or above it signals room to increase spend, since rank is still winnable.
This is done root-by-root and keyword-by-keyword, not as a blanket account-level decision — the same listing can have one ceiling-capped term to abandon and one strong root to double down on simultaneously.
This is the specific method behind the "fix conversion rate" step of Two-Step Conversion-Then-Indexing SOP, and pairs with Data Dive Rank Radar to confirm whether fixing conversion actually moves indexing/rank once a keyword is no longer capped.
Two data-reliability gotchas when using this benchmark:
The same Search Query Performance report also supplies the conversion-rate input for the New-Launch Ad Budget Formula (CPC ÷ CVR × Target Sales): select the brand, choose the most recent full quarter, and divide total purchases by total clicks for the target keyword. Because SQP aggregates purchases and clicks across every brand competing for that keyword, the resulting conversion rate is category-wide rather than brand-specific — treated as more reliable for a brand-new listing than guessing a future conversion rate with no history to measure against.