At a glance
New vs Returning Users is a cohort metric tracked from Amplitude data. Shown as a donut by share, it splits the users active in the window into those seen for the first time and those who have returned. The balance between the two is a fast read on whether growth is coming from acquisition or from a loyal base, and a sharp shift in the mix usually points to a campaign, a seasonal spike, or a retention problem worth investigating. Cross-reference the related cards listed below for context.
Calculation
Calculated automatically from your Amplitude data. The card classifies each active user in the window as new or returning and renders the two counts as shares of the total in a donut. See the At a glance summary above for what the metric tracks and the worked example below for a typical reading.Worked example
A representative reading of New vs Returning Users for a typical merchant on Amplitude. In the 30 days to 12 Mar 26 the donut shows 62% new and 38% returning. In the 30 days to 19 Mar 26 it shifts to 78% new and 22% returning. The new share has jumped because a prospecting campaign drove a wave of first-time visitors, but the returning share shrinking in absolute terms would be the real story to chase, since it can mean the loyal base is not coming back as often. The split alone does not say which it is, so it pays to read it next to retention and returning-user cards. Vortex Mind can attribute the new-user surge to the campaign and check whether returning-user counts actually fell or just got diluted; ask Ask Viq “how did the new versus returning split change this month and why” to get the breakdown in plain English.Sibling cards merchants should reference together
Reconciling against Amplitude
Where to look in Amplitude’s own dashboard: Build the split in Event Segmentation or with a new-user behavioural cohort, grouping active users by whether their first-seen date falls inside the window. Cohorts is where you define and inspect new-user and returning-user segments directly, and Dashboards is where saved versions of this view typically live. Confirm the period boundaries and any segment filters match the Vortex IQ profile to reconcile cleanly. Why the Vortex IQ value may legitimately differ:
Cross-connector reconciliation: read the new-or-returning split against new and returning customer counts in your ecommerce connector to see whether the analytics mix matches actual buyers. For divergence investigations, use Vortex Mind.