Pattern #55: Conversational Filters

Pattern #55  Tested 2 timesTested by Craig Kistler on Jul 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
Conversational Filters (Variant A) Conversational Filters (Variant B)

Expected Median Effects Of B

?

Progression

(1 tests)

-

Leads

-

Signups

-

Engagement

?

Sales

(2 tests)

-

Revenue

-

Retention

-

Referrals

?

ANY PRIMARY

(2 tests)

Tested on

Tests

Pattern #55: Conversational Filters
Was Tested On Jared.com by Craig Kistler

Replaced

Isolated

Test # 529 on Jared.com by $conducted_test->test->user_->first_name . ' ' . $conducted_test->test->user_->last_name Craig Kistler    Apr 29, 2024 Test link

Find Out How It Did With 189,872 Visitors

  • Measured by add to cart

  • Measured by completed purchases

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

In this experiment, conversational filters were tested at the top of some listing pages. Instead of showing one set of product filters, customers were shown three sets of product questions. After selecting each answer, product results would narrow and update further down on the page. Impact on adds to cart and sales were measured.

Get Access To See The Test Results

The Same Pattern Was Also Tested Here

Added

Isolated

Test # 603 on Kay.com by $conducted_test->test->user_->first_name . ' ' . $conducted_test->test->user_->last_name Craig Kistler    Jul 30, 2025 Test link

Find Out How It Did With 3,080,311 Visitors

  • Measured by completed orders

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

In this experiment, product pages (variant) asked users if they were interested to see holiday gifts with two buttons. Upon clicking "yes", the UI expanded to make another choice in order to see gifts for: Her, Him or Kids. Clicking any of these three would send users to dedicated listing pages with more product recommendations. Impact on sales 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.