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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 userspreezie completed views per user vs non-preezie userspreezie completed session duration/bounce rate vs non-preezie users etc.
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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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