Pattern #34: Open In A New Tab

Pattern Author: Grzegorz Jancewicz - Tech Lead @ Akademia Fotografii

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

Almost Certain Loser
Almost Certain Winner
Open In A New Tab
  1. Add: Opening Links In New Tab

    This pattern suggests to open links in new tabs. Perhaps it makes recall a little easier with a
    visible trail of all detailed results.


Median Effects



Ex: First Action

(1 tests)



Ex: Leads, Quotes

(3 tests)



Ex: Trials



Ex: Future Action



Ex: Transactions






Ex: Return Visits



Ex: Social Shares


Pattern #34: Open In A New Tab
Was Tested On by Grzegorz Jancewicz

Test #118 Tested on Akademiafotograf... by Grzegorz Jancewicz Grzegorz Oct 01, 2017

Find Out How It Performed With 3,923 Visitors

Product Desktop
  • Measured by any course page visits   |   p-val (?)

  • Measured by successful form submissions   |   p-val (?)

The only change in this test was the way links were opened on this course listings page. Variation A opened links in the same window, and variation B opened them in a new tab (and focusing on the newly opened screen).

Get Access To See The Test Results

The Same Pattern Was Also Tested Here

Test #220 Tested on An Anonymous Site Jan 18, 2019

Find Out How It Performed With 55,703 Visitors

Listing Desktop
  • Measured by successful applications   |   p-val (?)

This experiment measured the effect of opening new listing (job applications) in a new tab, against opening them in the same window. The experiment A-B was inversed to match the pattern (in reality, the original already opened the tabs in a new window).

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Test #209 Tested on by V. Barros Peixoto Vinicius Nov 12, 2018

Find Out How It Performed With 778,955 Visitors

Listing Mobile
  • Measured by lead form submissions   |   p-val (?)

The idea of this experiment was taking advantage of mobile browser behavior. When a link is open in a new tab on mobile browsers, and users hit the back button, the tab closes and users get back exactly where they were before without any new result page load.

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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.