---
title: Sessions per User: Formula, Uses and Calculator
description: Sessions per user is sessions divided by active users: the formula, daily vs monthly versions, time in app per user, mistakes to avoid and a free calculator.
url: https://appmetricslibrary.com/metrics/sessions-per-user/
---

# Sessions per user

Engagement metric. How often and how deeply do they use it?

17 Spu Sessions per user Engagement

Definition

## What is sessions per user?

**Sessions per user is the average number of separate times each active user opens and uses an app in a given period.**

**Session frequency:** another name for sessions per user over a period.

Formula

## How to calculate Sessions per user

`Sessions per user = Sessions ÷ Active users`

**Sessions**

separate sessions in the period

**Active users**

unique active users in the same period

### Where definitions differ

| Variant | Formula | When to use it |
|---|---|---|
| Per day | Daily sessions ÷ DAU | How often a daily user comes back within a day. |
| Per month | Monthly sessions ÷ MAU | Mixes frequency and number of active days. |
| Time in app per user | Sessions per user × Average session length | Joins frequency and depth. |

Calculator

## Sessions per user calculator

> Interactive tool (metric calculator): runs in the browser at https://appmetricslibrary.com/metrics/sessions-per-user/#metric-calc. Its text content follows.

**Sessions per user calculator**

**Example inputs: change them to your own numbers.** The examples only make the calculator show a worked answer; they are not benchmarks or targets. Runs in your browser; nothing you type is sent anywhere.

**Sessions per user**

4

**Minutes in app per user per day**

20 min

**Track this automatically**

Sessions per user comes from product analytics. Send key in-app events to your MMP if you want to compare engagement by channel.

- [Events tab docs](https://docs.linkrunner.io/features/events-tab?utm_source=appmetricslibrary&utm_medium=referral&utm_campaign=metric-sessions-per-user&utm_content=panel)
- [Event capture API](https://docs.linkrunner.io/api-reference/event-capture?utm_source=appmetricslibrary&utm_medium=referral&utm_campaign=metric-sessions-per-user&utm_content=panel)

[Create a free account (25k installs free)](https://dashboard.linkrunner.io/sign-in?utm_source=appmetricslibrary&utm_medium=referral&utm_campaign=metric-sessions-per-user&utm_content=panel)

Answer

## What drives sessions per user up?

Habit-forming use cases, timely notifications and content that changes during the day. Notification-driven sessions that end in seconds raise the count without adding value, so read it with session length.

By vertical

## How Sessions per user differs by vertical

| [EdTech](https://appmetricslibrary.com/verticals/edtech/) | Short daily practice sessions are often the target behaviour. |
|---|---|
| [Fintech](https://appmetricslibrary.com/verticals/fintech/) | Balance checks drive many short sessions. |
| [OTT and streaming](https://appmetricslibrary.com/verticals/ott/) | Fewer, longer sessions are normal. |
| [Gaming](https://appmetricslibrary.com/verticals/gaming/) | Several sessions a day are common in casual games. |

Pitfalls

## Common mistakes

- Comparing daily and monthly versions of the metric.
- Counting background wake-ups or push-opened sessions that close instantly.

Related

## Related metrics

[16 Sl Average session length](https://appmetricslibrary.com/metrics/session-length/) [13 Dau Daily active users](https://appmetricslibrary.com/metrics/dau/) [15 Stk DAU/MAU stickiness](https://appmetricslibrary.com/metrics/dau-mau-stickiness/) [18 Wt Watch time per user](https://appmetricslibrary.com/metrics/watch-time-per-user/)

FAQ

## Questions

**How do you calculate sessions per user?**

Divide the number of sessions by the number of active users in the same period. 24k sessions from 6k daily users is 4 sessions per user per day.

**Is sessions per user an engagement metric?**

Yes. It measures frequency of use, which combined with session length gives total time in the app per user.

**Why did sessions per user rise but retention fall?**

A smaller group of very active users can raise the average while fewer users come back. Look at the distribution, not only the mean.

**What is the difference between a metric and a KPI?**

A metric is any measured quantity; a KPI is a metric a team has chosen as a target for judging performance. Most metrics here become KPIs only for the teams whose work moves them.

**Do I need an MMP to measure these metrics?**

Not for all of them. Engagement and monetisation metrics come from product analytics and billing data, while metrics split by ad channel, such as CPI, ROAS or retention by source, need installs attributed to campaigns.

**Are the calculator's example inputs benchmarks?**

No. The example inputs only make the calculator show a worked answer when the page loads; they are not typical, good or target values. Replace them with your own numbers.