Pattern #45: Benefit Bar

Pattern Author: Viljo Vabrit - Managing Director @ ConversionXL Agency

Based on 4 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
Benefit Bar
  1. Add: Above The Fold Bar Attention Grabs

    The idea is to start off by showing a full width bar that is visible above the fold.

  2. Add: Benefits Benefits

    The bar container is then populated with 2-4 benefits or reassurances. These are answers to commonly asked customer questions or pain points. These may refer to concerns about shipping, delivery, ratings or any active bonuses. (Viljo highly recommends to use qualitative research to uncover these from real customers).

  3. Add: Specific Descriptions

    Last but not least, an element of specifity is added with short but detailed descriptions for each of the benefits. Ex: if free shipping is offered, it's important to clarify under which conditions this becomes true.

Median Effects

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Engagement

Ex: Any Action / Visit

(2 tests)

?

Conversions

Ex: Signups, Leads

(1 tests)

?

Sales

Ex: Transactions, Upsells

(3 tests)

?

Revenue

Ex: AOV, LTV

?

Retention

Ex: Return Visits

?

Referrals

Ex: Social Shares

Tests

Find Out How It Performed With 17,926 Visitors

Screen: Sitewide
Devices: Mobile
  •  

  • Measured by completed sales   |   p-val (?)

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Find Out How It Performed With 4,302 Visitors

Screen: Listing
  • Measured by any course page visits   |   p-val (?)

  • Measured by course enrollments   |   p-val (?)

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Find Out How It Performed With 1,614 Visitors

Screen: Checkout
  • Measured by next page visits   |   p-val (?)

  • Measured by thank you page visits   |   p-val (?)

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  • Test 150
  • Tested on Normanrecords.co... by   Nathon Raine
  • Feb 07, 2018

Find Out How It Performed With 120,700 Visitors

Screen: Home & Landing

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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.