Fixed ratio targets vs. competitor-derived baselines: stop using 1%

Fixed ratio targets vs. competitor-derived baselines: stop using 1%

A persistent tactic is targeting a fixed exact-match anchor percentage — "keep it under 1%", "aim for 5%". The alternative, deriving your target from the actual SERP, is more defensible and rarely done well.

Fixed targets assume a universal natural baseline exists. It does not. The natural exact-match ratio in a brandless, transactional niche ("payday loans") differs structurally from a strong-brand niche ("project management software"), because real link behavior differs.

The competitor-baseline tactic: profile the anchor distributions of stable, non-penalized pages ranking for your target term, and treat their median exact-match ratio as your reference band. You are matching the niche's observed normal rather than an arbitrary number.

On one hand, this is empirically grounded — you target the distribution that demonstrably survives in your SERP. On the other, it assumes ranking pages are not themselves over-optimized-but-not-yet-caught, which would poison your baseline.

Limitation: small SERP samples (you can realistically profile maybe the top 10) yield noisy medians, and survivorship contaminates the set.

My method: derive a band from competitor medians, then sit at the conservative end of it. Reject any fixed universal target.

Open question: how many ranking competitors must you sample before the median exact-match ratio stabilizes?