At a glance
New vs Returning Users is a retention metric tracked from PostHog data. It splits your active audience into first-time visitors and people who have been seen before, shown as a share of the whole. The balance is a direct read on where your growth comes from: a store leaning heavily on new users is acquisition-driven and fragile, while a healthy returning share means the audience you paid to acquire keeps coming back.
Calculation
Calculated automatically from your PostHog data. 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 PostHog. Suppose the donut shows 68% new and 32% returning over 30 days. After a post-purchase email programme launched on 20 Mar 26, the returning share climbs to 41% while total active users hold steady. That shift means the same traffic is now producing more repeat visits, a healthier mix even without more acquisition spend. Cross-reference D30 Retention and Stickiness to confirm the returning users are genuinely sticking. For deeper investigation, use Vortex Mind to trace upstream causes; for natural-language exploration, ask Ask Viq.Sibling cards merchants should reference together
Reconciling against the vendor’s own dashboard
Where to look in PostHog’s own dashboard: In PostHog, a trend insight broken down by the new-versus-returning user property gives this split. Align the date range and any filters with the Vortex IQ profile. PostHog decides “new” by first-seen date, so a user is new only on their first appearance. Why the Vortex IQ value may legitimately differ:
Cross-connector reconciliation: complement with sibling cards in the same category for the full diagnostic picture. For divergence investigations, use Vortex Mind.