Pattern #25: Nagging Results

Pattern Author: Jakub Linowski - Founder & Editor @ GoodUI.org

Based on 1 Tests, Members See How Likely This Pattern Will Win Or Lose And Its (?) Median Effect

Almost Certain Loser
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0
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Almost Certain Winner
Nagging Results
  1. Search Results

    The pattern begins by showing a large number of search results of which only a smaller set is displayed initially (as with many other search results; ex. 10 to 20 results per screen).

  2. The Nag Curiosity

    Once a user reaches the bottom of the screen, instead of showing pagination, the lowest result is partially covered with a call to action. This is the start of “the nag” which contains: a high contrast background area, a benefit headline promising the remainder of the results, a call to action button and three reassurances. only after performing this action does the nag disappear and the remaining results are shown.

  3. Floating Interaction Repetition

    After reaching the bottom, the call-to-action also begins to stick or float - hence if users scroll back up it still maintains its visibility (while still allowing access to the initial search results).

Median Effects

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Engagement

Ex: Any Action / Visit

(1 tests)

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Conversions

Ex: Signups, Leads

(1 tests)

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Sales

Ex: Transactions, Upsells

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Revenue

Ex: AOV, LTV

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Retention

Ex: Return Visits

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Referrals

Ex: Social Shares

Tests

  • Test 21
  • Tested on Findsomeone.co.n... by Daniel Bridges
  • Jan 01, 2016

Find Out How It Performed With 55,182 Visitors

Screen: Listing
  • Measured by visits to first step of signup process   |   p-val (?)

  • Measured by visits to successful signups   |   p-val (?)

Get Access To See The Test Results Now

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.