Understanding General Event Analytics
Overview
The report type ‘General Event Analytics’ supported by adbrix provides the analysis on ‘App Open Event’ and the other additionally integrated customized ‘In-App Event’.
(Visit Analytics > Data Explorer >General Event Analytics report type)
General App Analytics Setting
Metric Setting
|
Metric |
Definition |
|
Total Event count |
Total number of the selected ‘Event’ carried outIf three purchases were carried out in an identical device, the number will say ‘3’. |
|
Unique Event count |
Unique number of the selected ‘Event’If three purchases were carried out in an identical device, the number will say ‘1’. |
|
Price x Quantity |
Shows the value if the ‘In-App Event’ with the property of ‘Price’ and ‘Quantity’ is integrated. |
What ‘Event’ means in adbrix
The ‘Event’ of adbrix is a concept which includes the ‘App Open Event’ and ‘In-App Event’. You can freely constitute the indexes like ‘App Open’ and ‘In-App Event’ by setting ‘Event name’ at ‘Group-by’ and ‘Conditions’.
Please refer to the document Data Analysis and Reports: Understanding the Event in adbrix for your information.
[[인용:정보:작게]] Please check more regarding the basic structure and concept of the ‘Data Explorer’ including ‘Group-by’, ‘Analytics Conditions’, ‘Audience’, etc. at Data Explorer
Report Details
Example 1: DAU reports by ‘Platform’
Report Setting
| Classification | Setting |
| Date Type | Daily |
| Group by | Platform |
| Metrics | Unique Event Count |
| Open Attribution Type | N/A |
| Event Attribution Lookback Window | N/A |
| Attribution View Point | N/A |
| Date Range | 2019.03.01 ~ 2019.03.31 |
| Time Zone | UTC+9 |
| Audience | N/A |
| Analytics Conditions | N/A |
Explanation
This is the report setting to check DAU by ‘Platform(Android, iOS). The definition of DAU is Daily Active User, and that means the number of unique users who activated the application on a daily basis. You can calculate the unique number of the device which activated daily app events by selecting ‘Date Type’ as ‘Daily’, and ‘Metric’ and ‘Unique Event’.
By setting the report as the above, you can analyze the DAU for each platform on a daily basis.
Example 2: Revenue Report by Time and Platform
Report Setting
| Classification | Setting |
| Date Type | Hourly |
| Group by | Platform |
| Metrics | Total Event count |
| Unique Event count | |
| Price x Quantity | |
| Open Attribution Type | N/A |
| Event Attribution Lookback Window | N/A |
| Attribution View Point | N/A |
| Date Range | 2019.03.01 ~ 2019.03.31 |
| Time Zone | UTC+9 |
| Audience | N/A |
| Analytics Conditions | Event Name = Purchase |
Explanation
This is the report setting to check the purchase status for each platform(Android, iOS). Since it is necessary to analyze the purchase status on an hourly basis, select ‘Purchase’ from the ‘Event Name’ in ‘Analytics Conditions’, ‘Hourly’ for ‘Date Type’, and ‘Unique Event’, ‘Total Event’, ‘Price x Quantity’ for ‘Metrics’.
By setting the report as the above, you can track ‘Total Number of Purchase’, ‘Unique Number of Purchase’, ‘Total Amount of Purchase’ by platform on hourly and daily basis.
Example 3: Revenue Report for Specific Product
Report Setting
| Classification | Setting |
| Date Type | Daily |
| Group by | Platform |
| Metrics | Total Event count |
| Unique Event count | |
| Price x Quantity | |
| Open Attribution Type | N/A |
| Event Attribution Lookback Window | N/A |
| Attribution View Point | N/A |
| Date Range | 2019.12.01 ~ 2019.12.10 |
| Time Zone | UTC+9 |
| Audience | N/A |
| Analytics Conditions | Event Name = Purchase |
| Product ID = Product ID |
Explanation
This is the report setting to track specific product’s purchase status for each platform(Android, iOS). Since you want to analyze specific product’s purchase status, you should select ‘Purchase’ from ‘Event Name’ in ‘Analytics Conditions’, and type in the product number for the ‘Product ID’. For the ‘Metrics’, select all the options, ‘Unique Event’, ‘Total Event’, ‘Price x Quantity’.
By setting the report as the above, you can track specific product’s daily ‘Total Number of Purchase’, ‘Unique Number of Purchase’, ‘Total Purchase Amount’ for each platform on a daily basis.