Stop Guessing. Start Measuring with SQL
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Stop Guessing. Start Measuring with SQL

Gain real-time insights without waiting for dashboards Customize metrics to fit your exact business questions

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01Why SQL KPIs?

  • Gain real-time insights without waiting for dashboards
  • Customize metrics to fit your exact business questions
  • Understand the data behind the numbers completely
  • Reduce dependency on other teams or tools
  • Create a single source of truth for performance

02The KPI Foundation

  • Always start with a clear business question
  • Identify the correct data tables and columns
  • Choose the right aggregation (COUNT, SUM, AVG)
  • Define a precise time frame for your metric
  • Establish a target or benchmark for comparison

03Essential COUNT Metrics

  • Track total new user signups per day
  • Monitor daily active users (DAU) or weekly active users (WAU)
  • Count number of completed transactions
  • Measure support ticket volume by priority
  • Calculate new content or product uploads

04Powerful SUM & AVG Metrics

  • Sum total sales revenue by week or month
  • Calculate average revenue per user (ARPU)
  • Measure total session duration for engagement
  • Compute average order value (AOV)
  • Track total ad spend against campaigns

05Ratio & Rate KPIs

  • Calculate conversion rates (e.g., signup to purchase)
  • Monitor daily churn rate or customer retention rate
  • Compute click-through rate (CTR) for campaigns
  • Track inventory sell-through rate
  • Measure support ticket resolution rate

06Time-Based Analysis

  • Use DATE_TRUNC to group by week or month
  • Compare week-over-week (WoW) growth
  • Analyze month-over-month (MoM) trends
  • Calculate year-over-year (YoY) comparisons
  • Track metrics over rolling time windows

07Pro Tips

  • Use CTEs or temp tables to break down complex logic
  • Always filter out test data and NULL values
  • Comment your code for clarity and future you
  • Validate results with a spot-check in the raw data
  • Use window functions for running totals or rankings

08Your Next Steps

  • Start with one simple metric you care about
  • Write a basic query to calculate it for today
  • Expand it to show a trend over time
  • Share your SQL-based KPI with your team
  • Iterate and build more complex metrics