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
53 lines
1.7 KiB
YAML
53 lines
1.7 KiB
YAML
- name: cost_per_acquisition
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display_name: Cost per Acquisition
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category: marketing
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type: ratio
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unit: USD
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grain: monthly
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time_column: start_date
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table: campaigns
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tables:
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- campaigns
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- customers
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expression: "SUM(spend) / NULLIF(COUNT(DISTINCT new_customer_id), 0)"
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description: "Average cost to acquire one new customer through marketing campaigns. Compares total campaign spend to the number of new customer registrations attributed to those campaigns."
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dimensions:
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- campaign_type
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- channel
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- region
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notes:
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- "Only counts first-time customers (no repeat purchasers)"
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- "Joins campaigns to customers via attribution tracking"
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- "CPA below customer lifetime value indicates sustainable growth"
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synonyms:
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- cpa
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- customer_acquisition_cost
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- cac
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sql: |
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SELECT
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DATE_TRUNC('month', c.start_date) AS month,
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SUM(c.spend) AS total_spend,
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COUNT(DISTINCT cust.customer_id) AS new_customers,
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ROUND(
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SUM(c.spend) / NULLIF(COUNT(DISTINCT cust.customer_id), 0), 2
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) AS cost_per_acquisition
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FROM campaigns c
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LEFT JOIN customers cust
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ON cust.attribution_campaign = c.campaign_id
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AND cust.is_first_purchase = true
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GROUP BY 1
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ORDER BY 1
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sql_by_channel: |
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SELECT
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c.channel,
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SUM(c.spend) AS total_spend,
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COUNT(DISTINCT cust.customer_id) AS new_customers,
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ROUND(
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SUM(c.spend) / NULLIF(COUNT(DISTINCT cust.customer_id), 0), 2
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) AS cpa
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FROM campaigns c
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LEFT JOIN customers cust
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ON cust.attribution_campaign = c.campaign_id
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AND cust.is_first_purchase = true
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GROUP BY 1
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ORDER BY 4
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