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Analytics & Reporting Guide

Purpose

Give you a single source of truth and clear decisions. We define metrics, build models and dashboards, and set a cadence for reviews.

Data Model

⭐ Star Schema Architecture

  • Fact tables: Events, orders, spend
  • Dimensions: Date, channel, product, customer
  • Channel mapping: Standard UTMs and vendor sources
  • Currency handling: Code and rate tables for KRW and USD
  • Identity resolution: user_id, lead_id, and account_id crosswalks

Refresh and Access

🔄 Refresh Schedule

  • Ads: Daily
  • SEO: Daily
  • Orders: Daily or hourly
  • Returns: Daily

🔐 Access Control

  • Power BI or Tableau front end
  • Row-level security when needed
  • Shows "Last refresh" on every view
  • Filter badges visible

Metric Dictionary

🌐 Traffic Metrics

  • Sessions, users
  • Device mix
  • New vs returning

📈 Marketing Metrics

  • • CPC, CPM, CTR
  • • CPA, CAC
  • • ROAS, MER

💰 Commerce Metrics

  • • AOV, CVR, RPV
  • Contribution margin
  • Cart abandonment

🔄 Retention Metrics

  • Repeat rate
  • Reorder interval
  • LTV, cohort retention

📍 Local Metrics

  • Calls, direction requests
  • Website clicks from GBP
  • Review metrics

🏪 Retail Pilot Metrics

  • Units per store per week
  • Return rate
  • Out-of-stock count

Standard Dashboards

👔 Executive KPIs

High-level business metrics

RevenueOrdersContribution MarginCACROASRepeat Rate

🔄 Marketing Funnel

Sessions to purchase with step rates

Sessions → Product Views → Add to Cart → Checkout → Purchase

🔍 SEO Performance

  • Non-branded clicks and impressions
  • CTR and average position
  • Page lift after fixes

💰 Paid Media

  • Spend, CPA, ROAS by channel and campaign
  • Creative test panel
  • Performance matrix table

📦 Product Margin

  • SKU Pareto analysis
  • Price vs units scatter
  • Returns and contribution

↩️ Reverse Logistics

  • Return rate trend
  • Return reasons breakdown
  • RMA aging report

🏪 Retail Pilot

  • Velocity by store
  • Promo performance
  • Distribution metrics

Attribution

  • Default to last non-direct click for reporting
  • Add model comparisons when spend is material
  • Keep decisions simple: use contribution margin and payback windows

Operating Rhythm

📅

Weekly

30-minute check-in with wins, issues, next steps

📊

Monthly

Review with decisions and updated plan

🎯

Quarterly

Deep dive on strategy and budget

Issue Handling

📝 Change Log

Track data incidents with owner and fix window

📢 Release Notes

Never change definitions without documentation

Export Options

📄
CSV
📊
Google Sheets
🔌
API
🏢
Warehouse Sync

Supported Warehouses: BigQuery, Snowflake, Redshift, S3

Dashboard Examples

Executive Dashboard Layout

┌─────────────────────────────────────────────────────┐
│  Revenue      Orders      Margin      CAC           │
│  $125,432     1,234       32%         $45           │
│  ▲ 12%        ▲ 8%        ▲ 2pp       ▼ 15%         │
├─────────────────────────────────────────────────────┤
│  [Revenue Trend Chart]    │  [Channel Performance]  │
│  ━━━━━━━━━━━━━━━━━━━━━━   │  ■ Paid Search  45%     │
│                           │  ■ Organic      30%     │
│                           │  ■ Social       15%     │
│                           │  ■ Direct       10%     │
└─────────────────────────────────────────────────────┘

Ready for Data-Driven Decisions?

Get the insights you need with professional dashboards and clear reporting. Contact henry@primechasedata.com to get started.

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