> ## Documentation Index > Fetch the complete documentation index at: https://docs.vortexiq.ai/llms.txt > Use this file to discover all available pages before exploring further. # Monthly Active Users, PostHog > Monthly Active Users for PostHog stores. Tracked live in Vortex IQ Nerve Centre. How to read it, why it matters, and how to act on it. **Card class:** [Non-Hero](/nerve-centre/overview#card-classes-explained) • **Category:** [Analytics](/nerve-centre/connectors#connectors-by-type) ## At a glance > **Monthly Active Users** is an executive-overview metric tracked from PostHog data. It counts the distinct users who triggered at least one event across a rolling 30-day window, the broadest measure of your active audience over a month. Because it smooths out daily noise, MAU is the steadier line to watch for genuine audience growth or decline, and it is the denominator behind your stickiness ratio. | | | | --------------------- | -------------------------------------------------------------------------------------------------------------------------- | | **What it counts** | Distinct active users over a rolling 30-day window, compared against the prior period. | | **Sample type** | Backend API data from PostHog active-user insights, refreshed on the standard data refresh. | | **Why it matters** | MAU is the slow, reliable read on audience size. Sustained MAU growth is the clearest sign your top of funnel is widening. | | **Reading the value** | Compare the 30-day and 90-day reads against the prior period. Trend matters more than any single month. | | **Currency** | count | | **Time window** | `30D/90D vsP` | | **Alert trigger** | `-` | | **Sentiment key** | `ph_mau` | | **Roles** | owner, marketing | ## 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 **Monthly Active Users** for a typical merchant on PostHog.* Suppose MAU sits around 142,000 and rises to 158,000 over the next 30 days, an 11% gain against the prior period, after a content campaign launched on 05 May 26. Because MAU smooths daily swings, the rise is a credible sign the audience genuinely grew rather than a one-day spike. Cross-reference Daily Active Users for the short-term shape and Stickiness to see whether the larger base is also more engaged. For deeper investigation, use Vortex Mind to trace upstream causes; for natural-language exploration, ask Ask Viq. ## Sibling cards merchants should reference together | Card | Why merchants reach for it | | ------------------------------------------------------------------------------- | ------------------------------------------------- | | [`ph_dau`](/nerve-centre/kpi-cards/posthog/daily-active-users) | Executive sibling: Daily Active Users. | | [`ph_stickiness`](/nerve-centre/kpi-cards/posthog/stickiness-daumau) | Retention sibling: DAU as a share of MAU. | | [`ph_new_vs_returning`](/nerve-centre/kpi-cards/posthog/new-vs-returning-users) | Retention sibling: split of the active base. | | [`ph_retention_d30`](/nerve-centre/kpi-cards/posthog/d30-retention) | Retention sibling: do users return after 30 days. | | [`pos_users`](/nerve-centre/kpi-cards/posthog/users) | Audience sibling: total users. | ## Reconciling against the vendor's own dashboard **Where to look in PostHog's own dashboard:** In PostHog, MAU is a unique-users insight aggregated over a rolling 30-day window. Open that insight and align the window and property filters with the Vortex IQ profile. As with DAU, PostHog's identity stitching influences the unique-person count. **Why the Vortex IQ value may legitimately differ:** | Reason | Direction | What to do | | ----------------------------------------------------------------------------------------------------------- | --------- | ----------------------------- | | **Rolling vs calendar.** Vortex IQ uses a rolling 30-day window; a calendar month gives a different figure. | Variable | Match the window type. | | **Identity stitching.** Anonymous-to-identified merges adjust historical unique counts. | Variable | Allow for retroactive merges. | | **Filter scope.** Property or cohort filters narrow the active population. | Variable | Align the filters. | **Cross-connector reconciliation:** complement with sibling cards in the same category for the full diagnostic picture. For divergence investigations, use Vortex Mind. ## Known limitations / merchant FAQs **Q: How often does Monthly Active Users update?** The card refreshes on the standard data refresh (typically every 30-60 minutes for live integrations). For real-time signals, force a manual refresh from the dashboard. **Q: Is MAU just DAU times 30?** No. MAU counts each distinct user once across the whole window, no matter how many days they were active. It is always lower than the sum of daily actives. **Q: Why is rolling MAU different from my calendar-month number?** A rolling 30-day window moves every day, so it rarely equals a fixed calendar month. Pick one convention and compare consistently. **Q: Can I customise the alert threshold?** Yes, sensitivity thresholds are configurable per profile in the Sensitivity tab. Adjust to match your business baseline rather than relying on the generic default. *** ### Tracked live in Vortex IQ Nerve Centre *Monthly Active Users* is one of hundreds of KPI pulses Vortex IQ tracks across PostHog and 70+ other ecommerce connectors. Nerve Centre runs the detection layer; Vortex Mind investigates the cause when something moves; Ask Viq lets you interrogate any number in plain English. [Start for free](https://app.vortexiq.ai/login) or [book a demo](https://www.vortexiq.ai/contact-us) to see this metric running on your own data.