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강해수
강해수

Posted on • Originally published at themedilog.com

Naver catalog quality score: the field that tanked impression share wasn't the one we were optimizing

A skincare brand I operate spent two weeks stuck at 23% impression share on Naver Shopping. We pushed bids. Raised budget. Nothing moved. The fix turned out to be two feed fields — neither of which was in the optimization checklist we'd been running.

Naver's catalog quality scorer weights fields in ways that aren't documented anywhere officially. What I know comes from controlled feed tests across accounts running ₩8M–₩35M monthly Naver Shopping spend. The short version: product_name and category_id are the fields that actually move impression share. description — which gets the most optimization time from almost every team I've seen — had under 2% impression share delta in my tests, whether the field was 50 characters or 500 keyword-stuffed characters. That gap between effort and impact is where most Naver Shopping operators bleed time.

The toner brand incident illustrated this clearly. The Cafe24 default feed export was mapping products to a parent category (화장품/미용 — 스킨케어) instead of the correct leaf-level category (화장품/미용 — 스킨케어 — 토너/스킨). Naver's catalog matching runs on leaf-level category IDs. Parent-level mapping doesn't throw an error — it just quietly suppresses catalog inclusion. The quality score was sitting at 3 out of 6 with a category mismatch flag that's easy to miss in the admin UI. Second issue: images were exporting at 700×700, where Naver's catalog display for this category favors 1000×1000 with white background. Two field fixes, feed reprocessed in 36 hours, impression share went from 23% to 51% in 10 days. No bid changes.

The morning check I now run on day 3 of every new catalog campaign is three questions: impression share below 40%? Quality score at 3 or below? Did the feed go live with default Cafe24 field mapping? If all three are yes, I don't touch bids until the feed is corrected. Bid optimization on a suppressed catalog is just burning budget against a structural ceiling.

I wrote up the full breakdown — including the complete field impact hierarchy, the brand verification status issue that drops quality score by roughly a point, and the exact feed health checks I added to the daily workflow — over on themedilog.

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