Summary
Learn how to set up and configure a scoring workspace in Accoil, including event weighting and time frame selection.
How this helps
Provides a foundation for accurately measuring user engagement, allowing for tailored engagement strategies.
π Note: Workspaces are the new name for Profiles
Starting 20 August 2025, Accoil is progressively renaming Profiles to Workspaces. All functionality remains the same β only the terminology has changed.
Score Workspaces
Head to "Workspace settings in "Settings" on the left navigation button.
βSelect "Add workspace" to create a new workspace.
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Weighing Events
Click on "Options" button and select "Settings"
From here, all you have to do is add or delete 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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βTo delete an individual event, click on the delete button
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βWeight 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 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 product. Some may prioritize daily engagement as 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 workspace 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 setting up a score? Start without filters to understand your data before refining further.
Multiple Scoring Workspaces
With Accoil you can create multiple scoring workspaces. Learn more more about working with multiple scoring models (and why you would use them).
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