How to use Audience Studio
Using Audience studio
Audience studio is a very powerful tool to analyse your competitor app using DMP Insights, cohort analytics, and Targeting / De-Targerting Campaigns.
- DMP Insights (KOREA ONLY)
- DFINERY Template for the dynamic audience.
- Cohort Analytics
- Targeting Message
- Targeting / De-Targeting Campaign
[Understanding Audience Studio]
(1) DMP Insights
You can use DMP insights by creating an App-based audience in Audience Studio.
Using this audience you can analyze, current your app's usage, and the major characteristics of your competitors (cross-app usage, current new install/app delete).
[[인용:정보:작게]] DMP insights require setting App Category and competitors' apps. (How to set competitors' Apps)
A minimum of 100,000 audiences is required to use DMP Insights. (Android)
- My Audience Analytics
- Current New Install / App deletes
- Current status of competitors' apps.
(2) DFINERY template for Dynamic Audience
Using the DFINERY template for Dynamic audiences, you can send targeting messages or targeting / de-targeting campaigns. (These templates cannot be deleted or modified)
[[인용:정보:작게]]Dynamic audience calculate audience based on a schedule that set this audience.
This is a paid feature. If you wish to create your own Dynamic audience please contact our sales team.
[DFINERY Dynamic Audience Template]
| Name | Date Range | Simple Condition |
| The Recent New install user in 30 days | -30day ~ 0day | Event Name = abx:new_install |
| The recent app opened user in 30 days | -30day ~ 0day | Event Name = abx:start_session |
| The recent app opened user in 7 days | -7day ~ 0day | Event Name = abx:start_session |
| The Recent purchase user in 7 days | -7day ~ 0day | Event Name = abx:purchase |
| The Recent purchase user in 30 days but not app open in 7 days | -30day ~ 0day | Event Name = abx:purchase (purchase user in 30 days - app open user in 7 days) |
(3) Cohort Analytics
The created audience can be selected as "Audience Condition" in Data studio.
For example, if you create an audience that spent an amount of $100 in-app purchase user in 30 days, you can analyze daily in-app purchase amount, the app opens, and app attributions report only using this audience.
[[인용:안내:작게]]You can avoid so-called "Average's traps" using Cohort Analytics.
Cohort Analysis : Avoiding Average Traps
Example
- Percentage of Non-register users vs registered users with the App campaign.
- App re-opens analytics between VIP users and Novice Users.
(4) Targeting Message
The created audience can be used on Growth Action (push / in-app message) to the in-app campaign.
For example, if you create an audience as spent an amount of $100 in-app purchase user in 30 days, you can send push / in-app messages only targeting this audience.
Example
* Send push message to Non-register users for registering your app.
* Send push message to VIP users to purchase the high-valued product
(5) Targeting Campaign
You can download the user's ADID / IDFA in the created audience. Using this ADID / IDFA you can run Targeting / De-Targetring campaign.
For example, if you create an audience as spent an amount of $100 in-app purchase user in 30 days, you can download ADID / IDFA list to run Targeting / De-Targetring campaign.
[[인용:안내:작게]] DFINERY's main device ids are ADID / IDFA
_ What is an ADID / IDFA?
[[인용:안내:작게]] You can download the audience only Status is Completed.