Pattern #34: Open In A New Tab

Pattern Author: Grzegorz Jancewicz - Tech Lead @ Akademia Fotografii

Based on 2 Tests, Members See How Likely This Pattern Will Win Or Lose And Its (?) Median Effect

Almost Certain Loser
-5
-4
-3
-2
-1
0
+1
+2
+3
+4
+5
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

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Engagement

Ex: Any Action / Visit

(1 tests)

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Conversions

Ex: Signups, Leads

(2 tests)

?

Sales

Ex: Transactions, Upsells

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Revenue

Ex: AOV, LTV

?

Retention

Ex: Return Visits

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Referrals

Ex: Social Shares

Tests

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

Find Out How It Performed
With 3,923 Visitors
Screen: Product

  • Measured by successful form submissions

    (?)% Converted ((?) of (?) visits)
    (?)% Converted ((?) of (?) visits)

  • Measured by any course page visits

    (?)% Converted ((?) of (?) visits)
    (?)% Converted ((?) of (?) visits)

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).

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The Same Pattern Was Also Tested Here

Find Out How It Performed
With 778,955 Visitors
Screen: Listing
Devices: Mobile

  • Measured by lead form submissions

    (?)% Converted ((?) of (?) visits)
    (?)% Converted ((?) of (?) visits)

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.

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Total sample size of all tests is based on 21,050,098 visitors - that's a lot of testing time

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