This document describes Quick Tracking features and technical integration. It is not a sales commitment. The commercial purchase contract governs the specific products and services purchased.
Overview
Distribution analysis shows how users are distributed across intervals of an event metric. Common use cases include viewing user counts by event frequency, product usage days, or attribute values. This helps you identify user characteristics. You can save query results as reports and add them to custom dashboards.
Use cases
Distribution analysis helps you:
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Discover user distribution patterns to optimize product and operational strategies. For example, view how users are distributed across order payment ranges in the last month.
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Identify core user groups for targeted operations. For example, find power users by analyzing per-user session duration for a core feature.
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Remove outliers to measure product health. For example, analyze the 5th–95th percentile of new user login frequency.
Example: Analyze the distribution of user app active days in the last month
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Select the number of days as the event distribution metric for Application Startup events.
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Set the distribution interval: 5 equal parts
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Select a time range of the last month.
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Click Start Analysis.
User guide
Page layout
The distribution analysis page consists of the following areas: 
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Saved queries: Click to load a previously saved query.
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Query configuration: Select events, metrics, and time ranges.
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Analysis results: View charts and detailed data.
Select events and metrics
1. Select an event. Both page events and tracking events are supported.
2. Select a distribution metric: preset metrics, system attributes, or global attributes.
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Preset metrics: times, hours, and days
A. Times: The number of times an event occurs within the specified time range. Each occurrence counts once.
B. Hours: The number of distinct natural hours in which a user triggers the event within the specified time range.
C. Days: The number of distinct natural days in which a user triggers the event within the specified time range.
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System attributes and global attributes: Statistical values of an attribute for users who triggered the event within the specified period. Numeric attributes support Unique Count, Accumulated Value, Maximum, Minimum, and Average metrics.
Metric category
Metric name
Metric description
Example
Event metrics
Number of users
Deduplication by device ID
Number of users browsing the homepage
N/A
Number of times the selected event was triggered
Number of visits to the homepage
Number of times per capita
Times/users
Number of homepage views per capita
Number of logon users
Deduplication by login user accounts
Number of login users who browse the homepage
Number of user logons
Number of triggers for login users
The number of logon users who browse the homepage.
Number of logons per user
Number of login user times/number of login users
Number of home page views per logon user
Attribute metrics
Unique count
Deduplication of event attributes
Number of exposed products
Accumulated value
The sum of numerical attributes
The sum of payment order amounts
Maximum
Maximum value of a numeric property
Maximum payment order amount
Minimum value
Minimum value of a numeric property
Minimum payment order amount
Average value
The arithmetic mean of a numeric attribute
Average of payment order amounts
3. Add filter conditions. The available filter operators depend on the attribute type.
|
Attribute type |
Filter Symbol |
Symbol Definition |
Example |
|
String |
Equal To |
Matches one or more specific values |
The device brand is equal to Huawei or Apple |
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Not equal to |
Excludes one or more specific values |
Device brand excludes Huawei or Apple |
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|
Contains |
Matches values containing certain characters |
Device brand contains "Huawei" |
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Does not contain |
Excludes values containing certain characters |
Device brand does not contain "Huawei" |
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|
Empty |
Matches records with no attribute value |
Device brand has no value |
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|
Not empty |
Matches records with an attribute value |
Device brand has a value |
|
|
Numeric types |
Equal to |
Equal to a specific value |
Order amount equals 1000 |
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Not equal to |
Not equal to a specific value |
Order amount not equal to 1000 |
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Greater than |
Greater than a specific value |
Order amount greater than 1000 |
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|
Smaller than |
Less than a specific value |
Order amount less than 1000 |
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|
In... with... |
Between two specific values |
Order amount between 1000 and 5000 |
Select distribution interval 
Supported division methods: 5 equal parts, 10 equal parts, and custom.
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5 or 10 equal parts: Divide the metric range into 5 or 10 equal intervals and count users in each interval.
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Custom: Define your own interval range across the full data.
Select time range 
Select a time range using Relative Period or Fixed Period mode. The default is the past 7 days displayed by day.
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Relative Period calculates a rolling date range from the current date across three dimensions: days, weeks, and months. A day is a full calendar day, a week runs Monday to Sunday, and a month is a full calendar month.
Rules:
A. Past n days: The n complete calendar days before the current date.
B. Past n weeks: The n complete weeks (Monday–Sunday) before the current date. If today is the last day of the week, the current week is included. Example: If today is July 20 (Tuesday), the past week is July 12–18. If today is July 18 (Sunday), the past week is July 12–18.
C. Past n months: The n complete calendar months before the current date. If today is the last day of the month, the current month is included. Example: If today is July 20, the past month is June 1–30. If today is June 30, the past month is June 1–30.
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Fixed Period: Select a start and end date from the calendar. The maximum range is 366 days.
View analysis charts and detailed data 
After you configure the query and click Start Analysis, the results appear as charts and detailed data.
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Click View SQL in the upper-right corner of the analysis chart to view and copy the query SQL.
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Click Export Data in the upper-right corner of Detailed Data to download an Excel file.
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Click Save in the upper-right corner to save the current query for reuse.
Save data to report 
1. Enter a report name.
2. Select a time period for the report.
How the time period affects reports:
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Relative period: The report date adjusts based on the time selected on the dashboard.
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Fixed period: The report date remains fixed regardless of the dashboard time selection.
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No period: The report date follows the dashboard time selection.
3. Click OK to save the report.
Save a report to a dashboard
You can add a saved report to a dashboard: 
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Enter a report name.
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Select a target dashboard.
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Select a chart type.
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Select the chart layout on the dashboard.
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Click OK.