Page Comparison

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This will allow you to calculate some engagement metrics for all or individual journeys:

• 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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• 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.

Create

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a segment report

Add the segments and metrics to your report, it should look something like this:

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If you establish how much preezie can help new users then you can use it as a dedicated landing experience for marketing/advertising campaigns, e.g. www.preezie.com/christmas-gift-finder

Create a journey name report

• Duplicate the preezie user engagement report rename it journey engagement

• Delete the 4 segments

• Import Dimension preezie_journey - this is the name of each journey

• Add this Dimension to your report, you’ll now see each stat by journey name

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🛒 Conversions and revenue

There are 2 reports you can now create.

1. preezie user conversion

Now using your segments you can create an additional report tab to analyse preezie ecommerce metrics.

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First, add another Free form tab and call it ‘preezie conversion'

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Add 2 segments

Add your preezie users and non-preezie users segments created in step 1 above, this will breakdown allow us to compare performance:

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Import these metrics

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• User conversion rate - we use this as preezie users drive more sessions

• Add to carts

• Ecommerce purchases

• Purchase revenue

• Average revenue per user

• First-time purchaser conversion - as defined by Google: Percentage of active users that completed their first purchase event for the time period selected.

• First-time purchasers per new user - as defined by Google: Ratio of active users that completed their first purchase event divided by new users for the time period selected. These two populations are exclusive.

Create the segment report

• Make sure the 2 segments are added to the report

• Change the PIVOT to first row

• Add the imported Metrics from above, plus Total users (already imported)

It should look something like this:

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2.

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Journey user conversion

We can also breakdown ecommerce metrics by journey by following these steps. Example metrics:

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

• Import Dimension journey_user

Create the

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journey name breakdown report

• Add journey_user to a row

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

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❔ Answer trends

This will allow you to calculate some answer metrics, for example:

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Add a dimension of preezie_answer, this will expose the quiz answers:

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Create the report

• 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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Import these metrics

• Event count

Create the report

• 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

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