Hi @kshg7030
You are essentially describing a “did event, then did not return within X days” use case, which is more of a retention/churn problem than a straight event count. OOTB Workspace can’t directly calculate “users who did something once, but not again in 1M/3M,” but you can approximate it in two ways -
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Cohort Table - Use the Cohort Analysis panel in Workspace with “Login” as the inclusion metric and no additional metric for return. This lets you see users who logged in during a given period and whether (or not) they came back in subsequent periods (1M, 3M, etc.).
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Segments for churned users, you can build segments like -
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Visit where Login event exists within Date Range A
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AND Visitor does not have any Login event after Date Range A (exclude next 30/90 days).
This will isolate users who logged in during that window but didn’t return.
According to me, the Cohort panel is usually the most straightforward way to visualize this over time.
Let me know if that works.