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Mini Drama Analytics

This guide provides a centralized reference for your mini drama's performance analytics, designed to help you track and interpret key metrics. It details the specific data modules across monetization and operations to help you understand user behavior and revenue performance. All analytics modules can be found on your app page in the Developer Portal.

Available analytics modules

The developer platform offers analytics for the following modules found on your app page:

Category	Module	Navigation path
Dashboard	Daily metrics	Dashboard page
Monetization	In-App Purchases (IAPs)	Monetization > In-App Purchase tab
Operations	Users	Operations > Analytics page > Users toggle
Operations	Performance	Operations > Analytics page > Performance toggle

Note: For all analytics modules, data is refreshed every day.

Dashboard analytics

The Dashboard of your app page provides a quick overview of your mini drama's main daily metrics.

You can further refine your results by setting the Date Range and Region filters.

Metric	Description
Total users	Total number of users that launched the app at least once till date
Active users	Number of users who launched the app at least once (including new users)
New users	Number of users who launched the app for the first time
Median duration per user	Median time spent in the app per user

For more detailed analytics, click the Go to Analytics button. This will navigate you to the analytics page for Operations.

Monetization analytics

In-app purchases (IAPs) data for mini dramas is available on your app's Monetization page. IAP analytics allow you to track metrics for both users and orders.

Note: For monetization analytics, data is deduplicated, meaning that redundant or duplicate data has been removed.

In-App Purchases

To find IAP analytics on your app page:

Navigate to the Monetization dropdown from the sidebar.
Click the In-App Purchases (IAPs) tab.

Choose what type of data you want to view by switching the toggle between Users and Orders. For both types of data, you can refine your results by setting the filters:

Date range
Operating system
Region
Payer type (Orders only)

User analytics

User analytics provides data on users who have made purchases in your mini drama.

Click on any one of the metrics to view it in line graph form. You can also download the data by clicking the Download button in the corner of the graph.

Metric	Description
Paying users	Number of deduplicated users who have completed at least one in-app purchase
Percentage of paying users	The proportion of users who have completed at least one in-app purchase
Repeat paying users	Number of deduplicated users who have completed more than one in-app purchase
Percentage of repeat paying users	The proportion of users who have completed more than one in-app purchase
ARPPU	Average revenue per paying user
Lifetime value	Average sales value generated by new users in the specified date range

Order analytics

You can also analyze aggregate data for transactions.

Click on any one of the metrics to view it in graph form.

GMV is viewable as a line chart or a pie chart.
Redeem orders lets you view the top 10 most ordered products.

You can download the data by clicking the Download button in the corner of the graph.

Metric	Description
GMV	Gross Merchandise Value (GMV) is the total sales value of the orders
Average GMV	Average sales value per transaction
Recharge orders	Number of times users purchased Beans to spend in the app
Redeem orders	Number of times users used purchased Beans to unlock content

Operations analytics

Operational analytics contains data on both users and app performance. Make sure the toggle is set to your desired data type: Users or Performance.

User analytics

User analytics contains the following categories:

Behavior
Retention
Profile
Entry point
Conversion funnel

Each category allows you to refine your results by setting the filters:

Date range
Operating system
Region
User type (Retention, Profile, and Device only. Selectable options depend on the category.)
Order type (Conversion funnel only)

Behavior

Metric	Description
Total users	Total number of users that launched the app at least once till date
New users	Number of users who launched the app for the first time
Repeat users	Number of users who launched the app more than once
User visit counts	Number of times the app was launched
Average user visit counts	Number of times the app was launched by each user on average
Median duration per user	Median time spent in the app per user
Median duration per session	Median time spent in the app per session
Active users	Number of users who launched the app at least once (including new users)
Effectively active users	Number of users who launched the app and spent time on it at least once (including new users)

Retention

Retention is the number of users who remain active for however many days since their first game launch. Select the retention period you want to display data for:

1-day
7-day
14-day
30-day

Profile

Profile analytics contain data for the following:

Gender
Age
Region

Device

Device analytics contain data for the following:

Brand
Model
TikTok app version

Entry point

Track where users enter the app. These metrics consider multiple touchpoints throughout the user journey, factoring in all actual interactions and assigning them equal weight.

Active users
New users
Launch sessions
Average duration per session

Conversion funnel

Evaluate user behavior across each stage of the conversion funnel to identify drop-off points and improve overall conversion rate.

Entrance Exposure PV
Entrance Click PV
TT Minis Visit PV
Last Free Episode Watch PV
3P Payment Panel Show PV
3P Payment Panel Click pV
TT Payment Panel Show PV
TT Payment Panel Click PV
Consumption Order Cnt (Topup Order Cnt)

Performance analytics

Track your app's launch speed and success rate in the performance analytics section.

Refine your results by setting the filters:

Date range
Operating system
Region

Displayable metrics are defined below.

Metric	Description
Loading success rate	Percentage of times the app is launched successfully. This is the ratio of clicking the app to when the display of the first frame is reported
Average launch speed	Average app launch time (in milliseconds)

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