Skip to main content

Conversion Uplift

Full Factorial

Definition

Full factorial is a multivariate design of experiment (DOE) where all possible combinations of variables (where a combination is called a recipe) are included in the test.

A test with 3 elements (e.g. heading, image and asset) with 3 levels for each. Would have 27 combinations or recipes (3x3x3). For this reason a full-factorial design takes much longer than a fractional-factorial design to complete, but it has a much higher degree of accuracy and is less likely to lead to incorrect conclusions being drawn.

Resources:

Conversion marketing – Glossary of Conversion Marketing.

Over 300 tools reviewed – Digital Marketing Toolbox.

A/B testing software – Which A/B testing tools should you choose?

Credit:

Cook icons created by Freepik – Flaticon

Generic selectors
Exact matches only
Search in title
Search in content
Post Type Selectors
Neal Cole

Neal Cole

Neal is the founder of Conversion Uplift and the author of the official GA4/GTM audit course for CXL. It's the course much of the industry trains on. He's spent over 20 years in digital analytics, including senior roles in online gaming and financial services, working out where businesses' numbers go wrong and what it costs them. His work now focuses on server-side tracking, GA4 and BigQuery: getting the data right, and being the person who's accountable for it when a decision depends on it.
Neal Cole

Neal Cole

Neal is the founder of Conversion Uplift and the author of the official GA4/GTM audit course for CXL. It's the course much of the industry trains on. He's spent over 20 years in digital analytics, including senior roles in online gaming and financial services, working out where businesses' numbers go wrong and what it costs them. His work now focuses on server-side tracking, GA4 and BigQuery: getting the data right, and being the person who's accountable for it when a decision depends on it.

Free audit checklist to

Fix GA4 Tracking Like a Professional

Acceptance