- Assess Your Knowledge
-
Knowledge Check
- Introduction to Ad Campaign Experimentation
-
What is Experimentation? 1 Min.
-
Experimentation Offerings 2 Min.
-
Statistical Significance 4 Min.
-
Privacy Regulations 1 Min.
-
Where do I start? 1 Min.
-
Knowledge Check
- Brand Lift Studies
-
What are Brand Lift Studies? 2 Min.
-
Setting up a Brand Lift Study 1 Min.
-
Measures of Brand Lift 5 Min.
-
Control vs. Exposed Methodology 2 Min.
-
Interpreting the Results 2 Min.
-
How to Improve Results 2 Min.
-
Kayla's Brand Lift Results 2 Min.
-
Knowledge Check
- A/B Testing
-
What is A/B Testing? 4 Min.
-
Scientific Rigor in A/B Testing 2 Min.
-
Setting Up an A/B Test 6 Min.
-
A/B Test Best Practices and Recommendations 5 Min.
-
Getting the Results 2 Min.
-
Knowledge Check
- Course Review
-
Summary 4 Min.
-
Congratulations!
Ad Campaign Experimentation
Leverage experimentation tools to monitor brand perception, refine creative and hone delivery parameters to improve campaign performance.
LinkedIn's Campaign Manager provides scientifically-rigorous testing tools to help you identify opportunities to create a more effective campaign. The survey-based Brand Lift study offers insight into how well a campaign resonates with audiences while A/B testing helps to define specific adjustments you can make for improved campaign performance.
What you'll learn
After this course, you'll be able to:
- Set up each type of experiment
- Interpret the results of your experiment
- Fine-tune your campaign for stronger performance and a higher return on investment (ROI)
This course is for you if
- You're running campaigns using LinkedIn's Campaign Manager
- You're looking for opportunities to improve your ad campaigns
Still not sure if this course is for you?
Take the knowledge check to see what you already know or jump to the video summary. Then, choose the lessons you want to review.
Topics
A/B test, Brand Lift study, Campaign Manager