What is Monthly Active Users (MAU)?
Monthly Active Users (MAU) is the number of unique people who use Hearo at least once during a given 30‑day period. It’s a simple measure of how many distinct users are actively engaging with your surveys, forms or admin tools each month.
MAU counts unique users who take a defined active
action within a month. For Hearo this can mean different things depending on who you care about: participants who open or submit a survey, and/or creators/admins who sign in, create or review responses. MAU is usually measured as either a calendar-month total or a rolling 30‑day window. The important parts are (1) what action qualifies as active
and (2) how you identify unique users (account ID, email, cookie or other identifier).
Usage example
If 1,200 unique people submitted at least one response and 80 staff members logged into the admin console during August, you might report 1,200 participant MAU and 80 admin MAU. If you combine them, your platform MAU would be 1,280 unique users for that month (deduplicating anyone who appears in both groups).
Practical application
MAU helps you understand reach and health: are more people responding this month, or are participation rates falling? For Hearo you can use MAU to evaluate how well a multilingual outreach campaign worked (compare MAU by language), to spot retention issues (falling MAU after launch), to size infrastructure and support, and to inform pricing or resource decisions. Measuring separate MAUs for participants and creators gives clearer insight than a single combined number.
FAQ
Does MAU count people who only open a survey link but don’t answer anything?
That depends on how you define active.
For accurate engagement signals, many teams require a meaningful action—like starting or submitting a response—rather than just loading a page. Choose the definition that matches your goals and be consistent.
Should we track one MAU for everyone or separate MAUs for participants and admins?
Track them separately. Admin/creator activity and participant activity reflect different behaviours and needs. Separate MAUs avoid misleading results and help you make better product, outreach and capacity decisions.
How do we avoid counting the same person multiple times if they use different devices or don’t sign in?
Use a reliable unique identifier where possible (account ID or email). For anonymous participants, combine cookie-based identifiers, response tokens or invite links and reasonable heuristics to deduplicate, and be transparent about limitations in your reporting.