Want to learn paid search marketing, but are not sure where to start? This interactive course is for you. The IAB Canada Paid Search course will teach you all you need to know about paid search marketing from account structure, keyword strategy and ad copy creation to optimizing. The course is taught by industry experts who live and breathe paid search every day. Go ahead, ask them anything!
This course will focus on paid search strategy, tactics and techniques that are critical to executing a successful paid search campaign on all the major search platforms in Canada. You will learn:
All marketers, media planners and buyers as well as small to medium business owners who want to better understand paid search marketing and how it can be used to grow their brand.
Our flexible two-day training program delivers focused learning on paid search. Day 1 provides the theoretical foundation marketers need. Day 2 offers hands-on experience with modern tools, essential for planners and buyers. Choose the training depth that best suits your role.
Date | Time | Language | Venue |
|---|---|---|---|
Day 1: Fundamentals – March 3, 2026 Day 2: Practical – March 4, 2026 | 10:00am – 2:00pm EST | English | Virtual |
Day 1: Fundamentals – October 6, 2026 Day 2: Practical – October 7, 2026 | 10:00am – 2:00pm EST | English | Virtual |
If you have any questions about participating remotely or if you have a question about the course, please contact us at [email protected].
1.1: Defining Paid Search
1.2: The Canadian Search Landscape
1.3: Getting Started with Search
1.4: How Paid Search Works
1.5: Ad Rank
2.1: Keyword Definition
2.2: Building a Keyword List
2.3: Keyword Research Tools
2.4: Google Keyword Planner
2.5: Keyword Match Type
2.6: Broad Match
2.7: Account Structure
3.1: Ad Copy Best Practices
3.2: 4 Principles of Behavioral Economics
Social Proof
Scarcity
Anchoring
Framing
3.3: Competitor Comparison
3.4: Google’s Editorial Guidelines
3.5: Responsive Search Ads
4.1: Types of Ad Assets
4.2: Ad Extensions
4.3: Additional Types of Search Ads
5.1: The Main Challenges of Measurement
5.2: Understanding Your Customer
5.3: Attribution – Today’s Conversion Path
5.4: Attribution Models
5.5: Attribution Reporting in Google Ads
5.6: Telling the Story Behind the Data
6.1: Machine Learning’s Role in Search
6.2: Machine Learning Best Practices
6.3: Integrating Generative AI into the Mix
6.4: Machine Learning Personalization
6.5: Generative AI Capabilities Coming to Google Ads
6.6: Performance Max
6.7: Privacy-Centric Marketing Ecosystem
6.8: Closing the Cookie Gap with Enhanced Conversions
3.1: Ad Copy Exercise
3.2: AI Tools – ChatGPT and other Generative AI Tools
I would recommend this course to anyone who wants to brought up to speed or has questions. Wasn’t sure what to expect, however I found the day incredibly valuable, engaging and inspiring. Excited to go to work tomorrow. Thank you! – Robin Brooks, Marketing, Exodus Travels
Highly recommended course for people – Anonymous
Vicki is a great presenter/instructor. Very much enjoyed the course and have a much better understanding of paid search. – Anonymous
Please provide 48 hours notice before the course if you wish to transfer to the next session or transfer to a different course. Requests made less than 48 hours notice will not be accommodated.

