# Pattern #34: Open In A New Tab

### Pattern #34  Tested 3 timesFirst tested by Grzegorz Jancewicz Recently tested by Alex James on Jan 18, 2019

Based on 3 Tests, Members See How Likely Version B Wins Or Loses And By How Much

LOSSES
-5
-4
-3
-2
-1
FLAT
+1
+2
+3
+4
+5
WINS

Measured by the sum of negative and positive tests.

A B

?

Progression

(1 tests)

?

(3 tests)

-

Signups

-

Engagement

-

Sales

-

Revenue

-

Retention

-

Referrals

?

ANY PRIMARY

(3 tests)

# Pattern #34: Open In A New TabWas Tested On Akademiafotografii.pl by Grzegorz Jancewicz

Replaced

Isolated

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

## Find Out How It Did With 3,923 Visitors

• Measured by any course page visits

• Measured by successful form submissions

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).

## The Same Pattern Was Also Tested Here

Replaced

Isolated

Test # 220    Jan 18, 2019 Test link

## Find Out How It Did With 55,703 Visitors

• Measured by successful applications

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).

Replaced

Isolated

Test # 209 on Vivareal.com.br by V. Barros Peixoto    Nov 12, 2018 Test link

## Find Out How It Did With 778,955 Visitors

• Measured by lead form submissions

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.

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.