Improve campaigns with
LinkedIn Ads experimentation
4h 25min | 20 lessons | 0 downloadable resources
In this course, you will learn how to:
- Design a structured experimentation framework for LinkedIn Ads.
- Test different ad formats, targeting options, and bidding strategies.
- Analyze LinkedIn campaign metrics and performance indicators.
- Optimize LinkedIn ad spend for cost-effective results.
- Scale successful LinkedIn ad experiments to reach new audiences.
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Boost LinkedIn ad performance and optimize campaigns with strategic testing
Many marketers struggle with optimizing LinkedIn Ads, often relying on trial and error without clear results. This course teaches you how to create a strategic experimentation framework to test different ad formats, targeting options, and bidding strategies. By learning to analyze LinkedIn’s performance metrics and scale successful experiments, you’ll gain the skills to optimize your ad spend and improve ROI, ensuring better outcomes with more effective, data-driven campaigns.
Master LinkedIn ads experimentation to improve campaign performance and maximize ROI
Course Length:
4h 25min. 20 lessons.
This course provides hands-on expertise in designing and running experiments for LinkedIn Ads, helping you test various ad formats, targeting, and bidding strategies. By mastering experimentation methods, you’ll walk away with the ability to optimize ad performance, reduce wasted spend, and scale successful campaigns. This will enable you to continuously improve your LinkedIn advertising results and drive more efficient campaigns.
After completing this online course on LinkedIn ads experimentation, you will be able to assist your team and company with:
- Designing and running structured ad experiments.
- Optimizing ad copy, formats, and targeting for better results.
- Analyzing LinkedIn ad performance data effectively.
- Scaling successful ad experiments across campaigns.
- Maximizing ad spend efficiency and ROI.
This course is for you if you are responsible for:
- Managing LinkedIn Ads campaigns.
- Optimizing paid social media advertising.
- Scaling ad performance across digital platforms.
- Testing ad strategies and improving campaign results.
- Maximizing return on ad spend (ROAS).
Subscribe now and get access
Course Curriculum
LinkedIn Experimentation
1 Importance of Experimentation and Testing in LinkedIn Ads – what you unlock from testing.
2 Designing a Structured Experimentation Framework
3 Identifying key metrics and performance indicators
4 A/B testing and multivariate testing strategies
5 Evaluating results from testing
6 Testing audiences with native Linkedin targeting
7 Exclusions and how to negatively target
8 Using your own data to target on LinkedIn.
9 Analyzing advanced demographic breakdowns in tests
10 Best practices for ad copy and creative
11 Testing different objective options
12 How to test ad formats and variations
13 Understanding bidding on LinkedIn
14 Monitoring campaign performance and key metrics
15 Analyzing trends and identifying areas for improvement
16 Optimizing bids, budgets, and frequency
17 Conversion tracking and attribution analysis
18 Iterating and refining strategies based on data analysis
19 Scaling limitations and recognizing signs of diminishing returns
20 Additional levers available to scale Linkedin ad success
21 Setting up tracking mechanisms and pixels
22 Analyzing campaign data and generating reports
23 Presenting insights and recommendations to stakeholders
24 Final Exam: LinkedIn Experimentation
This online course
comes with a
Certificate
Completing this course earns you an official CXL LinkedIn Ads Experimentation Course Certificate to prove your achievement. CXL is recognized as an industry-leading qualification by employers worldwide, and it is an official qualification on Linkedin that can be added to your profile.
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