Pattern #110: Optional Field Labels

Pattern #110  Tested 3 timesFirst tested by Julian Gaviria Recently tested by Ardit Veliu on Jul 26, 2022

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
Optional Field Labels (Variant A) Optional Field Labels (Variant B)

Expected Median Effects Of B

-

Progression

?

Leads

(1 tests)

?

Signups

(2 tests)

-

Engagement

-

Sales

-

Revenue

-

Retention

-

Referrals

?

ANY PRIMARY

(3 tests)

Tested on

Tests

Pattern #110: Optional Field Labels
Was Tested On Thomasnet.com by Julian Gaviria

Added

Isolated

Test # 258 on Thomasnet.com by $conducted_test->test->user_->first_name . ' ' . $conducted_test->test->user_->last_name Julian Gaviria    Sep 12, 2019 Test link

Find Out How It Did With 5,965 Visitors

  • Measured by successful registrations

Zoom In
  • ?% (? successes out of ? visits)
A
  • ?% (? successes out of ? visits)
B
Signup

In this variation an optional field label was added.

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The Same Pattern Was Also Tested Here

Added

Isolated

Test # 423 on Expertinstitute.... by $conducted_test->test->user_->first_name . ' ' . $conducted_test->test->user_->last_name Ardit Veliu    Jul 26, 2022 Test link

Find Out How It Did With 1,462 Visitors

  • Measured by form completions

Zoom In
  • ?% (? successes out of ? visits)
A
  • ?% (? successes out of ? visits)
B
Home & Landing

In this experiment, an "optional" label was shown near a message form field. Impact on overall leads was measured (requesting experts).

Get Access To See The Test Results

Added

Isolated

Test # 259 on Thomasnet.com by $conducted_test->test->user_->first_name . ' ' . $conducted_test->test->user_->last_name Julian Gaviria    Sep 12, 2019 Test link

Find Out How It Did With 5,890 Visitors

  • Measured by successful registrations

Zoom In
  • ?% (? successes out of ? visits)
A
  • ?% (? successes out of ? visits)
B
Signup

Get Access To See The Test Results

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.