Retention¶

Overview¶

Retention is a feature that analyzes whether users who triggered a specific event at a specific point in time later trigger subsequent events, based on events created in Analytics.

You can analyze user revisit/retention rates and, through cohort-based analysis, identify which cohorts have higher retention.

What Can You Do?¶

Business/Marketing Users¶

• Set D+1 to D+30 retention as a key KPI and add it to a dashboard to monitor daily/weekly/monthly user retention status.
• Compare cohort retention before and after a campaign to quantitatively measure whether the campaign contributed to revisits.
• Identify retention differences by country to build content strategies suited to specific regions.

Data Analysts¶

• Compare cohorts at the time of a new feature release with earlier cohorts to analyze the feature's impact on retention.
• Use dimension-based cohort segmentation to identify which user groups have higher retention.
• Analyze the retention curve (the decrease pattern of N-day retention) to discover critical drop-off points for users.

Developers¶

• Verify whether event data is being sent correctly using the D+0 value.
• After adding a new event, set it as the reference event to confirm data reception.

Quick Start¶

If you are creating retention for the first time, follow the steps below to create your first retention.

1. Click the Create button at the top, then select Retention.
2. Select the workspace where you want to save the retention at the top.
3. In the [Settings] tab, set the project, period (daily/weekly/monthly), and date range to analyze.
4. In the [Data] tab, select the reference event and return event.
5. Select the identifier (userId / deviceId).
6. Check the retention values in the preview on the right.
7. Click the Save button at the bottom and enter the retention title and description.

Full Features¶

Key Concepts¶

[Settings] Tab¶

Enter the basic retention information.

When selecting a date range, you can use the quick select buttons or choose dates directly through the calendar button.

The Recent and Last quick select buttons use different reference dates.

[Data] Tab¶

Set the cohort definition and retention measurement criteria.

Reference Event¶

Select the event that forms the cohort.

• Example: hive_app_login -> group users who logged in during the period into the cohort
• Example: hive_character_level_change -> group users who leveled up a character into the cohort

Return Event¶

Select the event used to measure cohort user revisit/reaction.

• Can be set the same as the reference event (for example, login -> re-login tracking)
• Can be set to a different event (for example, login -> in-app purchase completion)

Identifier¶

Select the identifier used as the basis for user tracking.

Dimension Value¶

Analyze cohorts defined by the reference event by subdividing them using specific attributes.

• Example: Split cohorts by country and compare retention differences by country
• Example: Split cohorts by OS and compare retention by platform

[Filter] Tab¶

Set filter conditions that apply to both the reference event and return event added in the [Data] tab.

If you want to apply a condition only to a specific event, use the individual event filter in the [Data] tab.

Select the filter target from Attribute and Segment.

• Reference Event Filter: Include only reference events with specific attributes in the cohort
• Return Event Filter: Aggregate only return events with specific attributes as retention

Filter Condition Operators¶

• You can combine multiple filter conditions with AND / OR operators.
  • AND: Includes only data that satisfies both conditions.
  • OR: Includes data that satisfies either condition.

Segment Filter¶

If you choose a segment as a filter, only data for users belonging to that segment will be reflected in retention. Depending on how you combine segment conditions, you can use it in two ways: dynamic cohort and static cohort.

For how to create segments and segment snapshots, refer to the Segment document.

[Chart] Tab¶

Set how retention results are displayed.

Chart Type¶

Visualization Details¶

Add Summary Statistics¶

When the chart type is 'Table', this feature displays aggregate statistics for the full selected period. You can check statistical values while viewing the retention trend.

Edit Retention¶

1. In All Content, click the title of the retention you want to edit to open the edit page.
2. Change the settings in the desired tab.
3. Click the Save button at the bottom.

Notes & Tips¶

• Period selection matters: Daily cohorts are suitable for detailed analysis, while weekly/monthly cohorts are better for long-term trend analysis.
• If the date range is too short, long-term retention for recent cohorts (such as D+30) may not be calculated.
• D+0 is always 100%. If later values are shown as 0%, it may mean there is no data for that period or the event name is configured incorrectly.
• Retention values are not continuous retention rates. Because the percentage of users who triggered the return event on that specific day is calculated independently, D+3 can be higher than D+1.
• If you set the reference event and return event to the same event, you can measure revisit rate (re-access rate).

Related Menu¶

• Event - Define the events used for retention
• Segment - Use as conditions for specific user groups in retention filters
• Chart - Analyze key metrics together with retention
• Dashboard - Add created retention to a dashboard for unified management