Viewing Customer Datasets
Vitally provides you with immediate access to any customer segment + any customer dataset.
Vitally's UI is quite powerful, providing you with immediate access to any segment of accounts + any set of customer data belonging to those accounts. The datasets Vitally provides access to are broken up into 5 categories (Workspaces, Dashboards, Relationships, Activity, and Reporting) located on the left-hand navigation bar in the UI, which include:
- Workspaces
- All Company Data - Dashboards and Views will display all Accounts and Users in Vitally
- My Accounts & Data - Dashboards and Views will display only Accounts and Users for which you are assigned as the CSM
- Dashboards
- Custom dashboards - Advanced reports based on all of the customer data and activity objects in the current Vitally Workspace
- Relationships
- Organizations - A list of current (or churned) organizations
- Accounts - A list of current (or churned) accounts
- Users - A list of current (or churned) users
- Activity
- Reporting
At the right-hand side of the UI is our Filters Pane, where you'll see a collection of filters and facets. As you modify the options, whichever Data View is displayed will auto-limit its data based on your filters.
For example, if you are in your Customers Reporting view and you select Subscribed customers, then add a custom filter for MRR is greater than $200, revenue KPIs are only displayed for customers who pay you more than $200 a month!
Columns are the individual data points available to you for your accounts. There are dozens, and often hundreds, of columns, and every column can be viewed, sorted, reordered, and filtered on. Columns include:
- Total event counts and last seen dates for every event ever sent by your analytics service
To add, remove, or reorder columns, simply click the Columns icon in the top right.
Sorting accounts
You can order displayed accounts by any column simply by clicking on that column's header in the accounts list.
You can also save pre-built Account and User Explorer views with saved columns and filters, so specific combinations of data are easily and readily accessible. Read our article on Views to learn more!