5a84473213
Replace hardcoded Keboola-specific metrics card in Data Catalog with dynamic Jinja template that renders whatever metric YAMLs exist in docs/metrics/. Add 10 sample e-commerce metric definitions across 4 categories (revenue, customers, marketing, support) that align with the sample data generator tables. Key changes: - MetricParser: new category colors + dynamic sql_* field discovery - _load_metrics_data(): scans docs/metrics/*/*.yml with prod fallback - catalog.html: 240 lines hardcoded HTML -> 35 lines Jinja loop - metric_modal.js: regex-based category class removal, new categories - 21 tests validating YAML schema, parser, and loader
46 lines
1.5 KiB
YAML
46 lines
1.5 KiB
YAML
- name: lead_conversion_rate
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display_name: Lead Conversion Rate
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category: marketing
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type: ratio
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unit: "%"
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grain: monthly
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time_column: created_at
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table: web_leads
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expression: "COUNT(CASE WHEN status = 'converted' THEN 1 END) / COUNT(*) * 100"
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description: "Percentage of web leads that convert to paying customers. Measures the effectiveness of the sales funnel from initial lead capture through purchase completion."
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dimensions:
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- source
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- landing_page
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- lead_score_tier
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notes:
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- "A lead is 'converted' when they complete their first purchase"
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- "Conversion window is 90 days from lead creation"
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- "Duplicate leads (same email) are deduplicated by earliest creation"
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synonyms:
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- conversion_rate
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- lead_to_customer_rate
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- funnel_conversion
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sql: |
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SELECT
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DATE_TRUNC('month', created_at) AS month,
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COUNT(*) AS total_leads,
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COUNT(CASE WHEN status = 'converted' THEN 1 END) AS converted,
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ROUND(
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COUNT(CASE WHEN status = 'converted' THEN 1 END) * 100.0
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/ COUNT(*), 2
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) AS conversion_rate_pct
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FROM web_leads
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GROUP BY 1
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ORDER BY 1
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sql_by_source: |
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SELECT
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source,
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COUNT(*) AS total_leads,
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COUNT(CASE WHEN status = 'converted' THEN 1 END) AS converted,
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ROUND(
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COUNT(CASE WHEN status = 'converted' THEN 1 END) * 100.0
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/ COUNT(*), 2
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) AS conversion_rate_pct
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FROM web_leads
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GROUP BY 1
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ORDER BY 4 DESC
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