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Configuring a Profile
Configuring a Profile
Simon Herd avatar
Written by Simon Herd
Updated over 3 months ago

Summary

Details the process of creating and configuring a scoring profile in Accoil Analytics, including event weighing and time frame setup.

How this helps

Provides a foundation for accurately measuring user engagement, allowing for tailored engagement strategies.

Score Profiles

Select "Profiles" at the top navigation button and create a new scoring profile or select an existing one.

Weighing Events

Click on "Options" button and select "Settings"

From here, all you have to do is add the event that you want to be a part of your scoring model by clicking on the drop down menu of events.


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To delete an individual event, click on the delete button


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​Weight each event

After adding an important event to your model, you should weight each event using the sliders. You can give each event a weight between 1-10. You can see how these weights are used to calculate engagement scores here.

Engagement Time Frame

Lastly, you just need to set your engagement time frame. Your engagement time frame selection will define how far back Accoil Analytics looks back in order to measure your engagement scores. You can choose either 1, 7, or 30 days.

What time frame you select will depend on your application. For some applications, daily engagement is the most important measurement. For others it's weekly and for others it's monthly. This is completely up to you.

Score Filtering

You can filter your scoring profile to only apply to a subset of your user base. This is very helpful if you want to create a different scoring model for different types of users (trial vs paid users , admin users vs team members, buyers vs sellers, etc).

Note: First time creating a score? We recommend not applying a filter until you better understand how Accoil Analytics works as a whole - then you can refine.

Multiple Scoring Profiles

With Accoil Analytics, you can create multiple scoring profiles. Learn more more about working with multiple scoring models (and why you would use them).
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