Pattern #58: Full Height False Bottom

Pattern Author: Jakub Linowski - Founder @ GoodUI

Based on 3 Tests, Members See How Likely This Pattern Will Win Or Lose And Its (?) Median Effect

Almost Certain Loser
Almost Certain Winner
Full Height False Bottom
  1. Add: Full Height

    Set the height of a welcome mat (interstitial) to the 100% height of a window - giving it full attention. Also show a content indicator (down arrow) hinting that the page is scrollabale.

Median Effects



Ex: First Action

(1 tests)



Ex: Leads, Quotes



Ex: Trials

(2 tests)



Ex: Future Action



Ex: Transactions

(1 tests)






Ex: Return Visits



Ex: Social Shares


Test #358 Tested on by Gleb Hodorovskiy Gleb Jun 03, 2021

Find Out How It Performed With 133,252 Visitors

Home & Landing Desktop
  • Measured by initiated searches   |   p-val (?)

  • Measured by transactions   |   p-val (?)

In this experiment, the header section of the homepage drastically focused around the call to action. This was done by removing elements and forcing a false bottom.

Get Access To See The Test Results

Test #111 Tested on by Daniel Shapiro Daniel Jul 01, 2017

Find Out How It Performed With 7,003 Visitors

Home & Landing Desktop
  • Measured by form submits   |   p-val (?)

Get Access To See The Test Results


Leak #24 from   |   Sep 13, 2019 Home & Landing

Airbnb A/B Tests And Rejects Full Height Photos On Their Landing Page

Airbnb ran an experiment where they increased the size of the header photo on their Host signup landing page. And interestingly it was rejected a month later.   View Leak

For each pattern, we measure three key data points derived from related tests:

REPEATABILITY - this is a measure of how often a given pattern has generated a positive or negative effect. The higher this number, the more likely the pattern will continue to repeat.

SHALLOW MEDIAN - this is a median effect measured with low intent actions such as initiating the first step of a lengthier process

DEEP MEDIAN - this is derived from the highest intent metrics that we have for a given test such as fully completed signups or sales.