Clothing

Ranking Push Playbook (Playbook)

A step-by-step structure to run a ranking push while maintaining an exit plan when efficiency drops.

Reality note
This is a category-aligned playbook. Benchmark ranges are grounded in public metric definitions and public category aggregates. If you want to publish this as a customer case study, replace ranges with verified Amazon Ads report data (and keep date range + definitions).
Clothing cover
10% - 12%
CVR benchmark
2.5 - 3.0
ROAS benchmark
Weekly
Iteration cadence

How Satlis makes this executable

SP 8-Level Campaign Structure: separate “push” layers from discovery layers and keep naming + target placement consistent.

Search Term Harvester + Dedup: promote winners into Exact, then negate/dedup in discovery to avoid paying twice.

SP 8-Level Campaign Structure → Search Term Harvester → Cannibalization Check → Sign in to run this →

Setup

Pick 3-8 exact terms with stable conversion and clean relevance. Do not “push” terms you cannot fulfill.

Separate “push” campaigns from discovery campaigns so you can measure incrementality.

Runbook

Increase budget in steps (not all at once). Watch impression share and Top of Search placement.

Negate overlap in the discovery layer to avoid paying twice for the same term.

References (public)