# 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]]