Files
our-claude-skills/custom-skills/95-ourdigital-presales-seo/references/rate_card.yaml
Andrew Yim 3a8edebfef estimate.py: scale local_seo/onpage_entity by portfolio size
Add configurable sub-linear scope-scaling bands to rate_card.yaml; estimate.py
now multiplies monthly line-item rates by properties_total (local_seo) and
subbrands_total (onpage_entity), with the scope note written into the 견적.

Validated: L'Escape (1 property) stays at base 23-47M; SHR (25 properties,
5 sub-brands) scales to 54.8-110.6M (local ×4.5, on-page ×2.2).

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-28 00:24:33 +09:00

64 lines
2.1 KiB
YAML

# OurDigital service rate card — single source for estimate.py
# Mirrors the ourdigital-backoffice quote ranges. Values are KRW, treated as
# pre-sales estimate RANGES (finalize after a precise diagnostic with access).
quote_prefix: OD # quote number format: OD-YYYY-NNN
currency: KRW
services:
technical_audit:
label_ko: "Technical Audit / 기술 SEO 진단"
unit: one_time # one_time | monthly | project
min: 3000000
max: 5000000
technical_remediation:
label_ko: "기술 개선 실행 (sitemap/CWV/SSR)"
unit: project
min: 3000000
max: 8000000
onpage_entity:
label_ko: "On-Page / Entity Optimization (월 운영)"
unit: monthly
min: 1500000
max: 3000000
schema_build:
label_ko: "구조화 데이터(Schema) 구축 (1회)"
unit: one_time
min: 2000000
max: 4000000
local_seo:
label_ko: "Local SEO (프로퍼티 로컬 최적화)"
unit: monthly
min: 1000000
max: 2000000
gtm_setup:
label_ko: "GTM Setup / 태그 관리 구축"
unit: project
min: 2000000
max: 4000000
ga4_impl:
label_ko: "GA4 Implementation / 분석 환경 구축"
unit: project
min: 1500000
max: 3000000
dashboard:
label_ko: "Dashboard Development / 대시보드 개발"
unit: project
min: 3000000
max: 6000000
defaults:
retainer_months: 6 # default contract length for monthly line items
disclaimer_ko: "본 견적은 공개 데이터 기반 사전 추정 범위이며, Search Console/Analytics 권한 확보 후 정밀 진단을 통해 확정됩니다."
# Scope scaling — monthly line items scale (sub-linearly) by portfolio size.
# driver: a count under findings.entity (properties_total | subbrands_total).
# bands: ordered [max_count, multiplier]; first band whose max_count >= count wins.
# A 25-property chain costs more to run than a single hotel, but not 25x.
scaling:
local_seo:
driver: properties_total
bands: [[1, 1.0], [5, 1.6], [15, 2.8], [30, 4.5], [999999, 6.5]]
onpage_entity:
driver: subbrands_total
bands: [[1, 1.0], [3, 1.6], [6, 2.2], [999999, 3.2]]