This document is an introduction to Quick Tracking and technical integration and is not used as a sales basis. For specific products and technical services purchased by an enterprise, the commercial purchase contract shall prevail.
Overview
A session can be understood as a session , that is, a series of user behaviors that occur on the product within a specified period of time. For example, a session can include browsing, events, interactions, and transactions across multiple pages.
Session analysis connects users' single-point behaviors into a whole, helping enterprises to deeply interpret a series of users' behaviors on products. After a query is performed through session analysis, it can be saved as a report and added to a self-made dashboard for display and statistics.
Scenarios
session analysis can solve
Analysis requirements for analyzing continuous user behavior, such as how many times a user visits a page on average? How many pages do you average each time? How long do you stay here on average? How long does the average user stay on a particular page?
Analyze the page exit rate. For example, analyze the homepage exit rate based on channel groups. Find out which channel is more attractive to users to click on the web.
Take 「Statistics Lottery Page Exit Rate from Different Source Channels」 as an example
Select session metrics: select page 「Lottery Page」 and opt-out rate metrics
Select Attribute Group: group by 「Channel Source」
Select time range and intensity
Click 「Start Analysis」
Actions guide
Page composition
The session analysis feature consists of the following components: 
Select session metrics
Support for session metrics and custom metrics
Select session metrics:
Metrics support selection page and tracking events, and added session overall events
After you select an event, you can select metrics from the drop-down list, which are divided into preset metrics and session attributes. In addition to the 「Unique Count」 metric, numeric attributes also support the accumulated value, maximum value, minimum value, and average value metrics.
Meaning of preset metrics
Metric name
Metric meanings
Access requests
Number of sessions
Number of access users
Number of unique counts for the session split subject
Number of visits per capita
Times/Users
Exit rate (when a page is selected)
Number of sessions left after visiting this page /Number of sessions that contain current page visit events. The meaning is the percentage of exits from the page in the product usage path that contains the page.
Bounce rate (when session population is selected)
Number of sessions per page /Total number of sessions
session duration: the duration of the current session, in seconds
Meaning of the session attribute
session attributes
Metric meanings
Promotion activities
Promotion activities
Promote creativity
Promote creativity
Media
Media, identifying how the user came
Source
Sources, such as today's headlines and iQiyi
Search engine keywords
Search engine keywords
Mini program scenarios
Mini program scenarios
Source page path
Take the refer path of the landing page
Source domain
The source page path takes the domain
Landing page code
First page in session
Exit page code
Last page in session
Page code
Page encoding
Number of pages browsed
PV in a session
Whether the first day visit
Select Yes or No.
Custom indicator: provides four operations of addition, subtraction, multiplication, division, parentheses, and constants for indicators.
The name and description of the custom metric. The name can be up to 15 characters in length. The name can contain only letters, digits, underscores, and the
(+-*/)of calculated symbols.In the input box, enter the metric formula that is used for calculation, such as A + B and A- B. The calculation formula supports constants,
+-*/, and()operation symbols.You can choose to display the result as a percentage, an integer, or two decimal places. (Percentage by default).
The simple metrics that are used for compound calculation. You can specify up to three simple metrics in four operations. You can set filter conditions for each simple metric.
Add Filter Condition
Supports filtering by using session attributes.
Different filter symbols are supported based on different types of attributes.
Attribute type
Filter Symbol
Symbol Definition
Example
String
Equal to
Represents equal to one or more specific values
The device brand is equal to Huawei or Apple
Not equal to
Indicates that one or more specific values are excluded
Device brand excludes Huawei or Apple
Contains
Find values that contain certain characters in an attribute value
The character Huawei is included in the device brand
Does not contain
Exclude values with certain characters in attribute value
The character Huawei is not included in the device brand.
Empty
Find data without attributes
No device brand attribute value
Not empty
Find data with property values
with device brand attribute value
Numeric types
Equal to
Equal to a specific value
Order amount equals 1000
Not equal to
Not equal to a specific value
Order amount not equal to 1000
Greater than
Greater than a specific value
Order amount greater than 1000
Smaller than
Less than a specific value
Order amount less than 1000
In... with...
Between two specific values
Order amount between 1000 and 5000
3. Enter attribute values to filter.
4. Supports multiple attribute filter conditions and the combination of and or for cross analysis.
Select attribute group 
Select the session attribute to group and display the metrics. You can also cross-analyze the two attributes.
2.3 Add global filter 
When two session metrics or more are selected, global filtering supports common filtering based on common attributes between different events. The specific filtering capability and the attribute filtering capability of the same single event are set.
Select time range 
You can select the time range and time granularity as required. You can select a time range in the 「Relative Period」 or 「Fixed Period」 mode. In the Relative Period mode, the default time is set to the past seven days and is displayed by day.
The 「Relative Period」 of time is based on the date range pushed forward by an anchor point and will change over time. It has three dimensions: the past X days, weeks, and months. You can also customize the time filter conditions for the past X days, weeks, and months. The day is a complete natural day, and the week is selected from Monday to Sunday, and the month is the natural month (from the 1st to the last day of each month)
The following list describes the rules:
A. Past n days: Push forward the complete n days based on the current time.
B. Past n weeks: Push forward n complete weeks based on the current time. If the current time is the last day of the week, the past n weeks include the week in which the current time is located. Example: If the current time is the 7.20 (Tuesday), then the past week is 7.12-7.18 (Monday to Sunday). If the current time is the 7.18 (Sunday), then the past week is 7.12-7.18.
C. Past n Months: Push forward n complete months based on the current time. If the current time is the last day of the month, then the past n months include the month in which the current time is located. Example: If the current time is 7.20, then the past month is 6.1-6.30; If the current time is 6.30, then the past month is 6.01-6.30.
「Fixed Period」 You can directly select the start date in the calendar box, and click OK to select the current time range for data analysis (the maximum selection range of a fixed period is 366 days)
View analysis charts and detailed data 
After setting the query criteria and clicking 「Start Analysis」, you can view 「Analysis Chart」 and 「Detailed Data」.
The chart style supports 「Polyline」, 「Column Chart」, 「Row Chart」 and 「Circular chart」 to display the chart.
「Detailed Data」 allows you to view the detailed data of the statistical results. The total data is de-duplication data for the time range. You can view the data by time dimension.
Click 「View SQL」in the upper right corner of 「Analysis Chart」 to view and copy the current query SQL.
Click 「Export Data」in the upper right corner of 「Detailed Data」 to download the Excel file.
Save common metrics for subsequent re-query. You can click the 「Save」 button in the upper-right corner.
Save data to report 
1. Enter a report name
2. Select the time period for saving the report.
-「Impact of Different Time Periods on Reports」
Select a relative time period. The report date can be queried according to the time selected on the dashboard.
Select a fixed period, the report date will not change according to the dashboard selection time
No period is selected, the report date follows the time selected on the dashboard
3. Click the 「OK」 button to save the data to the report list.
Add a report to the dashboard
For an already saved report, you can choose to add the report to the dashboard: 
Enter 「Report Name」
Select the added dashboard
Select the type of display you want the chart to display.
Select the display layout of the chart in the self-made dashboard
Click 「OK」
3. session splitting rules
session splitting rules are extracted from space, time, and business definitions. The three types of rules are superimposed on each other. The three types of rules include:
Space rules
This rule is mandatory and is a general system-level rule. You do not need to set the source parameters. The following table describes the supported source parameters. If the value of any of the following parameters changes, a new session is created.
Parameter | Parameter Key |
Promotion activities | utm_campaign |
Promote creativity | utm_content |
Media | utm_meduum |
Source | utm_source |
Search engine keywords | utm_term |
Mini program scenarios | scene |
Source Domain | refer_oage take domain |
Time rules
The splitting rule is: web applications have no logs for more than 30 minutes, and apps and mini programs have no logs for more than 1 minute are automatically split into one session.
Business definition
The attribute is not supported in IDaaS.