💾 SQL Query Library

SQL Query Examples

Real queries generated from plain English — against your actual data schema

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Every query on this page was generated by Taptic Data's AI from a plain-English question, run against a real database schema. They're not textbook examples — they're the queries actual business analysts need: SQL query for monthly revenue trend with year-over-year comparison, SQL query for Shopify customer lifetime value, SQL query for Amazon return rate by SKU, SQL query for Amazon net margin after FBA fees, SQL query for DAU/MAU ratio in Snowflake.

In Taptic, you type the question. The AI reads your live schema — table names, column types, relationships — and generates SQL that actually runs. You see the query, you can edit it, you can ask the AI to explain it line by line. Then you save it as a report and how to automate report email delivery to your team.

Amazon queries

Amazon Seller Central SQL query examples

How to calculate Amazon return rate by SKU
Return events joined to order items — return rate and cost per product
How to calculate Amazon net margin after FBA fees
Revenue minus referral, fulfillment, and storage fees per SKU
How to query Amazon revenue by month
Monthly revenue trend with year-over-year LAG window function
How to track Amazon buy box percentage by ASIN
Buy box win rate and sessions from the sales traffic table
How to break down Amazon FBA fees by SKU
Referral, fulfillment, and storage fees with net margin percentage
How to combine Amazon and Shopify revenue in one query
UNION ALL across both platforms with channel breakdown and totals

Shopify queries

Shopify SQL query examples

How to calculate Shopify revenue by month
Monthly revenue from orders with refund exclusions and prior period comparison
How to calculate Shopify customer LTV with SQL
Total revenue per customer with order count, AOV, first and last order dates
How to calculate Shopify refund rate by product
Refund events joined to line items — refund rate and revenue impact per product
How to calculate Shopify repeat purchase rate
New vs returning customer revenue split with cohort breakdown
How to find products that drive Shopify repeat buyers
First product bought → second order rate — identifies your best acquisition products

QuickBooks queries

QuickBooks Online SQL query examples

How to calculate QuickBooks net income by month
Revenue minus expenses from QBO invoices and expense tables with YoY comparison
How to find overdue QuickBooks invoices by customer
AR aging report — customers, total owed, days overdue, oldest invoice date

Database queries

SQL query examples for databases and warehouses

How to build a monthly revenue trend with MoM and YoY
LAG window functions for month-over-month and year-over-year comparison in one query
How to find top customers by revenue with SQL
Customer ranking with order count, AOV, and percentage of total revenue
How to calculate revenue by region with quarter comparison
Regional revenue with quarter-over-quarter comparison using CASE and window functions
How to calculate DAU/MAU ratio from Snowflake data
Daily and monthly active users with stickiness ratio from event tables

Learn

Concepts and definitions

How to build a monthly revenue trend report
MoM and YoY comparison using SQL window functions — works on any orders table
How to find top customers by revenue
Customer ranking with order count, AOV, and revenue share using SQL
How to calculate revenue by region
Geographic segmentation with quarter-over-quarter comparison
How to calculate DAU/MAU ratio
Product stickiness formula, benchmarks, and event table query
What is text-to-SQL?
How AI converts plain English to SQL and why schema-awareness matters

Related analytics

More Taptic Data analytics hubs

Amazon Analytics
FBA analytics, settlement reconciliation, return rates, and buy box tracking
Shopify Analytics
Custom reports, SQL queries, and AI-powered insights for Shopify merchants
QuickBooks Analytics
Custom financial reports and plain-English queries beyond what QBO builds in

Generate any of these queries from plain English

Connect your data source and type your question. Taptic writes schema-aware SQL against your real tables — no prompt tuning, no hallucinated columns. $29.99/mo.

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FAQ

Common questions about sql query examples

How does Taptic generate SQL from plain English?
Taptic reads your live database schema at query time — table names, column types, relationships — then generates SQL that matches your actual data structure. It never hallucinates table names or invents columns that do not exist.
Can I edit the SQL that Taptic generates?
Yes. Every query is shown in a full Monaco editor. You can edit it directly, ask the AI to explain any line, or request a revision in plain English. You are always in control of the final SQL.
What databases do these SQL queries work with?
Taptic supports Amazon Seller Central, Shopify, QuickBooks Online, PostgreSQL, MySQL, Microsoft SQL Server, Snowflake, and Oracle. Each connector imports your data into a normalized schema that the AI understands.
Can I save and schedule these queries as reports?
Yes. Any query result can be saved as a report, enriched with charts and KPIs in the canvas editor, and scheduled to email your team as a PDF on any cadence — daily, weekly, or monthly.

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