SQL for Ads Performance Analysis
Master SQL to extract, analyze, and optimize advertising campaign performance, driving data-informed decisions and maximizing ROI.
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SQL Fundamentals for Advertising Data
Unit 1: Relational Database and SQL Intro
Databases & Advertising
What is SQL?
Setting Up Your SQL Env
Unit 2: Basic SQL Queries
SELECT Statement
Filtering with WHERE
WHERE and Dates
Sorting with ORDER BY
Limiting Results
Unit 3: Aggregate Functions
SUM it Up!
AVG This!
Counting Rows
Min and Max Values
Aggregate Function Tips
Joining Tables for Enriched Advertising Insights
Unit 1: Understanding Joins
Why Join Tables?
Relational Data Review
Intro to Joins
Unit 2: Inner Joins
Inner Join Explained
Inner Join in Action
Multiple Inner Joins
Unit 3: Left and Right Joins
Left Join Explained
Left Join in Action
Right Join Explained
When to Use RIGHT JOIN
Unit 4: Aliases and Filtering
Aliases: A Quick Tip
Filtering Joined Tables
Aggregating Joined Data
Putting It All Together
Calculating Key Performance Indicators (KPIs) with SQL
Unit 1: Introduction to KPIs in SQL
KPIs and SQL: Overview
Data Types for KPIs
Casting Data Types
Unit 2: Calculating Click-Through Rate (CTR)
CTR: The Formula
Avoiding Division by Zero
Formatting CTR
Unit 3: Calculating Conversion Rate (CVR)
CVR: The Formula
Handling Zero Clicks
Formatting CVR
Unit 4: Calculating CPA and ROAS
CPA: The Formula
Handling Zero Conversions
ROAS: The Formula
Handling Zero Spend
Formatting CPA & ROAS
Segmenting and Grouping Advertising Data for Granular Analysis
Unit 1: Fundamentals of Data Segmentation with GROUP BY
Intro to GROUP BY
Single Column Grouping
Grouping by Date
Multiple Column Grouping
Naming Grouped Columns
Unit 2: Advanced Segmentation and Filtering
Filtering with HAVING
HAVING and Aggregate Funct
Combining WHERE & HAVING
Case Studies: Filtering
Common Mistakes
Unit 3: Ordering and Analyzing Segmented Data
Ordering Segments
Order by Multiple Columns
Limiting Results
Putting It All Together
Analyzing Trends in Advertising Performance Over Time
Unit 1: Understanding Time-Based Analysis in SQL
Intro to Time Series
Date and Time Data Types
Date Function Basics
Unit 2: Rolling Averages and Window Functions
Rolling Averages Intro
Calculating Rolling Avg
Rolling Sums
Window Frame Variations
Unit 3: Period-Over-Period Comparisons
Period-Over-Period Intro
LAG() and LEAD()
Calculating Growth Rate
Date Truncation
Unit 4: Visualizing Trends and Advanced Techniques
SQL-Based Reporting
Visualizing Trends
Seasonality
Optimizing SQL Queries for Performance
Unit 1: Understanding Query Performance
Why Optimize Queries?
Query Optimization Goals
Intro to EXPLAIN
Reading EXPLAIN Output
EXPLAIN Example
Unit 2: Indexing Techniques
What are Indexes?
Creating Indexes
Index Best Practices
When NOT to Index
Index EXPLAIN Impact
Unit 3: Optimizing JOIN Operations
Understanding JOINs
JOIN Order Matters
Filtering Before JOIN
Efficient JOIN Syntax