Pattern #79: Mixed Search Cues

Pattern Inspired By Airbnb's Leaked Decision

Based on 1 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
Mixed Search Cues
  1. Additional Search Criteria Choice

    Instead of showing search cues from a single category (ex: fruit types), more search criteria is exposed (ex: fruits, food groups, inspirational content, recommendations, and fruits again in a different format). This provides users with more cues or categories to initiate their search and find what they are looking for.

Median Effects

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Engagement

Ex: Any Action / Visit

(1 tests)

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Conversions

Ex: Signups, Leads

?

Sales

Ex: Transactions, Upsells

(1 tests)

?

Revenue

Ex: AOV, LTV

?

Retention

Ex: Return Visits

?

Referrals

Ex: Social Shares

Tests

Test #279 Tested on Umbraco.com by Lars Skjold Iversen Lars Jan 16, 2020

Find Out How It Performed With 22,540 Visitors

Home & Landing Desktop, Mobile
  • Measured by visiting any course landing page   |   p-val (?)

  • Measured by starting any course checkout   |   p-val (?)

In this experiment, 3 additional course links with descriptions were added to the homepage. The idea was to increase course sales aside of the Saas subscription signups.

Get Access To See The Test Results

Leaks

Leak #1 from Airbnb.com   |   Feb 14, 2019 Product

Airbnb Added More Search Cues

In this leak, three Airbnb property page screenshots with different time frames have been compared. Having done this, it became clear that at least one design decision was made near the bottom of the screen - further confirmed by the final screenshot. View Leak

Leak #3 from Etsy.com   |   Mar 30, 2019 Product

Etsy A/B Tested And Implemented Related Products Thumbnails

Showing related products might be considered popular practice by now. If a customer doesn't feel that a given product is exactly what they are looking for, somewhere at the bottom of a page they might get nudged with other hopefully relevant product options. View Leak

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.