Hi @jimmywijaya

It IS confusing and there isnâ€™t much of a discussion about the two (from what I read in the lesson). Plus, it would be super helpful if there was a cheatsheet! (IMO).

No, theyâ€™re different.

Lift is your desired conversion rate as calculated from your baseline.

Letâ€™s say your baseline conversion rate for your site is currently 20% and you want to increase that by changing something on your website (or in a marketing campaign, etc.) to 22%.

So, 22%-20% = 2% *lift* in conversion.

Your MDE is calculated as a percent of the baseline and itâ€™s the amount of effort you need to put forth to arrive at the desired change, or, lift.

MDE = desired conversion rate lift / baseline conversion rate x 100%

So, 2% / 20% = 10% MDE for your experiment.

The MDE is used when designing the A/B test and is the minimum improvement youâ€™d like to see in your hypothesis test.

https://www.invespcro.com/blog/calculating-sample-size-for-an-ab-test/

https://help.optimizely.com/Ideate_and_Hypothesize/Use_minimum_detectable_effect_to_prioritize_experiments

" The simplest way to think of MDE is the following â€“ *it is essentially the smallest possible change in your primary KPI that your experiment can detect with statistical certainty* ."

From here: https://www.brooksbell.com/resource/blog/minimum-detectable-effect/

Maybe someone else can chime in if Iâ€™m not correct or explaining it well enough?