"App Analysis" provides relevant operational indicators and data for effective app management, including "Overview," "Push Analysis," and "Employee Referral Details." You can have a clear and complete picture of your app's operational status through these data. Please go to SHOPLINE Admin > [Mobile App Management] > [App Data Analysis] as illustrated below.
In this article, you will be introduced to:
1. Overview
Three indicators will be available in the "Overview" tab: Install Activation, Page Views, and Unique Visitors.
i. Overview indicators
| Indicator | Description |
| Install Activation | When a visitor downloads and installs the app and has their first visit to the app, it is counted as 1 time of Install Activation. |
| Page Views | Each time a visitor views a page while browsing the app, it is counted as 1 Page View. |
| Unique Visitors |
"New Visitor" refers to those who are visiting the app for the first time, while "Return Visitor" means those who have previously visited the app. The system will use a visitor's device ID to identify whether they have entered the app multiple times. The visitor count will be accumulated depending on the timings of a certain device ID accessing the app.
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ii. Functionality on this page
a. Hovering the cursor over the indicator will display a tooltip explaining what this indicator is about.
b. Upon clicking on an indicator, the enlarged run chart will be displayed below.
c. Click on the "calendar" icon at the top right and select the analysis range. The system defaults to "Last 30 days" and currently supports 4 options: Yesterday, Last 7 Days, Last 30 Days, and Custom. You can switch between them for comparison as per your needs. Upon completion, click Apply.
d. Click Export to download data such as Installation Activation, Page Views, Unique Visitors, New Visitor, Return Visitor, and more within the Selected Analysis Range. The downloaded file will be in .csv format.
2. Push Analysis
You can view the performance of app push notifications in the "Push Analysis" tab, and optimize the content and Send Time of the notifications based on the data.
i. Push Analysis indicators
| Indicator | Description |
| Total push notification visitor |
The number of visitors who click the push notifications and visit the app. Note that under the aforementioned condition, the visitor count will be accumulated depending on the timings of a certain device ID accessing the app.
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| Percentage of push notification visitor |
The proportion of "Total push notification visitor" to the total "Unique Visitors" of the app. The calculation method is as follows:
Suppose there are 100 visitors to the app within the selected analysis range, and the number of push notification visitors is 10, then the "Percentage of push notification visitor" would be 10 (Total push notification visitors) / 100 (Unique Visitors to the app) = 10%. |
ii. Push funnel data
| Indicator | Description |
| Notification Name | Identifying the name of each push notification message |
| Push notification type | Identifying the type of each push notification message; there are four types altogether, including "Message Notification - Full Users," "Message Notification - Group Users," "Personal Message - Order," and "Personal Message - Ｍember." |
| Send Time | The sending date and time of the push notification message |
| Status | The current status of the push notification message |
| Push Notification Quantity | The number of push notification messages sent by the system |
| Delivery |
The number of push notification messages successfully sent to users' mobile devices *Note: If the user has uninstalled the app, disabled notification services, or the mobile device is unable to connect to the internet, it will result in delivery failure. |
| Delivery Rate |
The proportion of successfully delivered messages out of the total number of messages sent. The calculation method is as follows:
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| Impressions |
The number of push notification messages successfully delivered and displayed in the app |
| Impression Rate |
The proportion of successfully displayed quantity out of the delivered quantity. The calculation method is as follows:
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| Click | The number of users who clicked on the push notification messages |
| Click Rate |
The proportion of the number of users who clicked on the push notification messages out of the display quantity. The calculation method is as follows:
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iii. Functionality on this page (Push funnel data)
a. Filter: Click on the drop-down menu to filter the push notification types (multiple selections allowed). Upon completion, the data list below will be updated accordingly.
b. Search: Enter keywords to search for specific push notification messages.
3. Employee Referral Details
You can view the performance of store referrals in the "Employee Referral Details" tab.
i. Employee Referral Details Indicators
| Indicator | Description |
| Employee Name | Displaying all employees' names from the Admin > [Retail Store] > [Employee] |
| Number of App Referrals | The number of customers who have downloaded and installed the app through employee referrals and have successfully linked to their referrers. Each customer will be counted only once. |
ii. Another Route to Employee Referral Details
You can also go to the Admin > [Mobile App Management] > [App Settings] > [Store Referral Settings] > [Staff Referral Analytics] to view the Employee Referral Details.
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