Page Comparison

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• Start rate what % of my users start preezie when seeing it? 20% is a good benchmark to aim for

  • preezie users / preezie loads users

• Completion rate what % complete preezie after starting it? Over 85% is a good benchmark to aim for

  • preezie completed users / preezie users

• Improved engagement is preezie helping grow more engaged users?

  • preezie completed engagement rate vs non-preezie users

  • preezie completed views per user vs non-preezie users

  • preezie completed session duration/bounce rate vs non-preezie users etc.

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preezie users Include users when Events > preezie_click
preezie completed Include users when Events > preezie_completed
preezie loads Include users when Events > preezie_load
non-preezie users We’ll create a segment that includes where it was loaded but not clicked Include users when Events > preezie_load Add sequence to excludeExclude users when Step 1: Exclude from segment permanently Step 2: Events > preezie_load is indirectly followed by Step 3: Events > preezie_click	Image Removed Image Added

Import these metrics

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• Total users

• Engagement rate - as defined by Google: Engaged sessions divided by Sessions

• Engaged sessions per user - as defined by Google: The number of sessions that lasted longer than 10 seconds, or had a conversion event, or had 2 or more screen or page views.

• Views per user - as defined by Google: The average number of mobile app screens or web pages viewed per user.

• Average session duration

• Bounce rate - as defined by Google the % of sessions that: lasted longer than 10 seconds, or had a conversion event, or had 2 or more screen or page views.

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• Duplicate your preezie conversion report and call it 'journey conversion'

• Import Dimension journeypreezie_user

Create the journey name breakdown report

• Add journeypreezie_user to a row

• All of the other settings inheried inherited from your preezie conversion report will appear here:

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• What answers are most/least popular?

• Is there a correlation with certain answers to add to cart events?

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Set up

First, add another Free form tab and call it ‘answer trends'.

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• Add preezie_answer dimension to your rows - note, this also includes the question number as a prefix

• Add preezie_journey to your columns

• Add Total users and Add to carts to your Metrics

• Add Filters of preezie_answer <> (not set) and preezie_journey <> (not set)

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• What product result position is most commonly clicked?

• How often are users purchasing the exact recommended product?

• Which product gets the highest clicks?

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• Add preezie_product_name, preezie_product_position and Product name dimensions to your rows

• Add preezie_journey to your columns

• Add Event count and Ecommerce purchases to your Metrics

• Add the segment preezie users - this will show us only those who have used preezie, clicked and then bought these products

You should now be able to match your products clicked (event count) with your purchased store’s product names (Ecommerce purchases):

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