Testing is an essential to creating profitable media buying campaigns and learning to test economically can make or break your whole business. However testing is a skill that many marketers overlook. In this powerful module, Purple Leads Founder and CEO, James Van Elswyk teaches you the exact testing methodology that has helped him scale his 8 figure business on Facebook and Native Ads.
What Will I Learn?
James' module on Ad campaign Testing will teach you the exact system he uses to analyze and optimize his Facebook and Native Ad campaigns for both lead generation and ecommerce offers, in the most economical way possible.
How to Test Images, Headlines, and Body Text
How to Test Audiences and Interests
How to Test Offer and Landing Page
How to Test with Manual Bidding
How to Define Statistical Significance
How Much to Spend on Testing Total and Per Variable
How to Maintain Data Hygeine
Handy Benchmarks for CTRs and Conversion Rates
Course Description
In this module James Van Elswyk teaches the exact testing methodolgy that has helped his business save millions of dollars. By learning to test quickly, thoroughly, and economically, you can put your affiliate campaigns as well as your business as a whole in a better position to thrive and grow. Testing is often overlooked by marketers, or worse yet, marketers tend to go with their gut. This approach can lead to thousands in wasted ad spend, days of lost time and campaigns that never reach their potential.
James Van Elswyk says stop going with your gut! Here he provides his methodology to test headlines, ad copy, images, landing pages, audiences and interets. Learn to test properly and watch your campaigns and business flourish.
Curriculum
Section 1 – Data Hygiene
If you don’t buy clean data you've paid for nothing
- How to name campaigns
- How to create a proper testing environment to isolate variables
- How to run a control
- Testing is not performance or scaling. Its testing – Don’t fall In love
Secton 2 – Data Purchasing
- Assume Loss – PNL loss but info Profit
- How to keep testing cheap by ordering your testing
- What KPIs to measure and their unique testing requirements
Section 3 – Data Testing Planning
- How to create a testing plan
- How much should you spend and how long should you test?
- Testing with or without algo influence
Section 4 – Data analysis
- What constitutes statistical significance
- When to prolong a test
- How to analyze results
- Winner moves on: How to advance your test
- How to verify results
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