Pattern #98: Auto Suggest

Pattern #98  Tested 2 timesFirst tested by Frederik Fröhle Recently tested by Jakub Linowski on Dec 30, 2025

Based on 2 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
Auto Suggest (Variant A) Auto Suggest (Variant B)

Expected Median Effects Of B

-

Progression

-

Leads

-

Signups

-

Engagement

?

Sales

(2 tests)

-

Revenue

-

Retention

-

Referrals

?

ANY PRIMARY

(2 tests)

Tested on

Tests

Pattern #98: Auto Suggest
Was Tested On Volders.de by Frederik Fröhle

Replaced

Confounded

Test # 414 on Volders.de by $conducted_test->test->user_->first_name . ' ' . $conducted_test->test->user_->last_name Frederik Fröhle    May 31, 2022 Test link

Find Out How It Did With 128,199 Visitors

  • Measured by successful cancellations

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

Does adding Google's address auto complete functionality to an address field help with higher form completions? This auto fill feature has been tested in the variation of a contract cancellation funnel. After selecting an auto completed address from a pulldown menu, the following fields were preselected: house number, zip code, city and country (potentially lowering friction?). Impact on successful form completions (contract cancellations) has been measured. Notice how the form also expanded progressively upon selecting the complete address in the variation.  

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The Same Pattern Was Also Tested Here

Replaced

Isolated

Test # 628 Dec 30, 2025 Test link

Find Out How It Did With 4,442 Visitors

  • Measured by completed sales

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

In this experiment (1) the zip code field position was moved up, right below the last name. And (2) entering the zip code would populate the state and city using an autofill API call. Impact on orders completed was measured.

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.