Basic Data Overview

What information is included in the basic data?

The basic data overview is a data overview group automatically generated based on Sensors Data's full-tracking and a small amount of user-defined data. It can be broadly divided into the following five categories:

Overall Overview: Based on the overall usage of the product, basic data indicators are automatically generated, providing a basic understanding of the overall usage of the product.
User Acquisition: Starting from the customer acquisition channels and versions, generate some metrics based on different channels and versions to understand the advantages and disadvantages of each channel, and clearly observe the traffic, conversion and other performance of each channel.
Activity and retention: By observing user visits and engagement, we can observe trends in user visits and return visits, and clearly understand the user's stickiness and immersion in the product.
Event Conversion: Based on the selected event and attributes, this feature generates data metrics such as the number of occurrences, number of participants, and distribution of the event, allowing you to understand the overall user conversion and revenue-related data.
User characteristics: Users are grouped based on basic attributes such as location, gender, and operating system, making it easier for you to understand the distribution of users.

How do I add and set up a basic data overview?

In the role permissions, members with the "Manage Public Overview" permission can add "Basic Data Overview" to "Public Overview" from the scene library.

Members without "Manage Public Overview" permissions can only view the introduction of this scene library. If they need to use it, they can contact a member with the appropriate permissions to add it.
The basic data overview consists of multiple overviews. Only overall sorting is possible in the public overview, and copying and sharing settings are not currently supported.

See the usage guide for the Scene Library for instructions on how to add and set up a "Basic Data Overview".

Detailed analysis of indicators

Category 1: Overall Overview

Real-time data
Real-time product data every hour helps you understand the current status of your products.
- Real-time visitor count
  - Real-time visitor count for the product, updated hourly.
- Real-time new user count
  - Real-time new user visits to the product, updated hourly.
- Number of real-time revenue events
  - The number of real-time revenue events for the product, updated hourly.
  - If you wish to add new monitored events, please contact the administrator for configuration and addition.
Overview
The overall product usage data, including user volume, access frequency, and retention, helps you gain a general understanding of the product's overall metrics.
- Total users
  - Cumulative user base since product launch
- New users yesterday
- Total number of visitors/times yesterday
- Average number of visits/duration/depth per person yesterday
  - Web-based metrics are calculated using session (session_default).
  - App-side metrics are calculated using the $ExitApp event.
- The ratio of new and returning users
  - Daily distribution of new and existing users
- 7-day retention rate of new users / all users
  - Both the start and subsequent events involve users accessing the page.
- Page visit distribution
  - Grouping based on page title attributes in $App browsing pages and $Web browsing pages using full-tracking.
- Access Terminal Distribution
  - Grouped by the operating system accessed

Category 2: User Acquisition

Channel Access
User usage data for each channel, including the percentage of new users and retention rates, helps you understand your product's strengths and weaknesses in customer acquisition. The app's channel data is further segmented by iOS and Android.
- New users
  - Total number of new users, including organic traffic and channel traffic.
- New users from channels
  - Only count the number of new users from channel traffic
- Average visit duration
  - Web-based metrics are calculated using session (session_default).
  - App-side metrics are calculated using the $ExitApp event.
- Abnormal traffic
  - Abnormal app traffic is defined as access behavior where the app is opened and then closed within 5 seconds.
Version data
This data on app usage for each version helps you understand whether there have been improvements in activity and retention during product upgrades.
- Version access traffic
- Average visit duration
- Retention of each version
  - 7-day user retention for each version

Category 3: Activity and Retention

Access traffic
The product's daily access data focuses on the access behavior of both new and returning users, providing metrics such as access frequency, duration, frequency distribution, and peak access times to help understand some behavioral characteristics of new and returning users when using the product.
- Number of visitors
- The ratio of new and returning users
- Average usage time for both new and existing users
- Number of new and existing users starting up/accessing the site
- Daily/Weekly Startup Time
  - Distribution of user visits to products during daily time periods
  - Weekly distribution of user visits to the product
User retention
Provides user retention data for 7 days, the following day, the following week, and the following month to help you understand the engagement of both new and existing users.
- 7-day retention/churn
- Day 2 retention/churn
- Week 2 retention/churn
- Next month retention/churn

Category 4: Event Transformation

Event Transformation
For user-defined key events, Sensors Analytics will automatically generate the number of occurrences, the number of participants, and their distribution.
- Number of incidents involving both new and existing users / Number of users / Average number of incidents per user
- Distribution of event frequency
Revenue-generating event conversion
For user-defined revenue-generating events, Sensors Analytics will automatically generate the number of occurrences, the number of participants, and the distribution of the event. Based on the numerical data type attributes you selected, it will calculate the total value, average value per person, and sub-average value for that value.
- Number of revenue events for both new and existing users / Number of users / Average number of events per user
- Benefits for both new and existing users

Category 5: User Characteristics

User characteristics
- Distribution of visited provinces
- City distribution
- Gender distribution of visitors
- Access Operating System Distribution
- The ratio of new and old users

Frequently Asked Questions

Q: What user permissions allow users to set up the default overview?
A: The administrator account can configure the preset overview settings.
Q: How do I modify the indicator information in the management dashboard?
A: If you want to add new events to the event transformation, you can notify the administrator to add them. Sensors Analytics currently does not support adding metrics to other modules.
Q: How do I correct inaccurate metrics within some modules?
A: Currently, most of the metrics used by Sensors Analytics are calculated and statistically analyzed using fully tracked data, and user-defined modifications are not supported at this time. Of course, you can contact the developers to modify the code configuration.
Q: How do I replicate the metrics?
A: You can click on the indicator to enter the analysis model, and then click "Save" to save it to your bookmarks. You can then add the bookmark to the overview you created.
Q: How do I turn off the preset overview?
A: You need to enable the default view module in public sharing by the administrator account. After enabling it, the default view module will not be displayed for non-administrator accounts.
Q: What problems can the preset overview help me solve?
A: The metrics in the pre-built overview are categorized by customer acquisition, traffic, and conversion, which can help you systematically and comprehensively understand the overall health of your product. If you wish to add custom metrics, you can use a specific metric as a template for customization.

Basic computation events

Calculate active class
- The app will use fully tracked events such as $AppViewScreen, $AppStart, and $AppEnd for calculations.
- The web application will use fully tracked events such as $pageview for calculations.
Class for calculating session duration
- The app will use the session named session_default_1 for calculations.
- The web application will use the `session_default` session for calculations.
If your project does not have the above-mentioned event, you can enable full event tracking for data collection.
For session-type events, you can manually construct the session, just make sure the name is consistent with session_default_1 / session_default.