Pattern #80: Persitent Filters

Pattern Author: Vinicius Barros Peixoto - SEO & Growth Product Manager at VivaRealBrasil

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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Almost Certain Winner
Persitent Filters
  1. Defaulted Filters Smart Defaults

    Filters are automatically applied from any searches or result adjustments performed on any screens. These user choices are then remembered and re-used across the site as the user continues the search.

  2. New Session Confirmation Recognition

    When users leave and come back (starting a new session), they are also recognized as having expressed some filter choices in the past.

  3. New Session Confirmation Choice

    At this point, upon return, users are provided a choice if they wish to apply their past filters.

Median Effects

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Engagement

Ex: Any Action / Visit

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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

Pattern #80: Persitent Filters
Was Tested On Vivareal.com.br by Vinicius Barros Peixoto

Find Out How It Performed
With 441,738 Visitors
Screen: Listing
Devices: Mobile

  • Measured by lead form submits on property page

    (?)% Converted ((?) of (?) visits)
    (?)% Converted ((?) of (?) visits)

The experiment goal was automatically applying filters the users have already done in our result page, during their navigation to the site. The variation always applied the filters in the same session and asked users on new sessions.

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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.

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