# IAP Personalization Dashboard

Assetario serves its customers with IAP Personalization Dashboard. It might be used by a marketing department for the visualization and analysis of outputs.

![General view of IAP Recommendation dashboard](/files/otb46lj5B6NvUxSsgtld)

### Filtration

This block has a variety of parameters for filtration. Using them, you can set up a needed combination for analytics. Assetario provides filtration for these fields: 

* Time frame. A customer can chose a data frame he is interested in. He can pick an option from last week, last month, etc or put a custom date. By default Assetario is showing the data from from the date of going live. 
* Device. A customer can choose the devices he or she wants to include in the shown group. By default, Assetario uses a split between IOS/Android. However, if the customer provides Assetario data about the device models, those could be added upon request. 
* Country. A customer can choose the countries he or she wants to include in the filtration. It could be changed to the cities or states upon request. 
* Offer type. A customer can choose which products/offer type he or she wants to include. 
* Cheaters. Including or excluding “cheaters.” 
* Testers. Including or excluding “testers.” 
* Fraud. Including or excluding “fraud.” 

In case you as a customer are not sharing some of the needed information with Assetario, you will have a default value.

### General overview

This block helps to see highlighted numbers. Using it, a customer can get updated daily stats and review the most important numbers.

It includes Daily [Uplift](/docs/dictionary.md#uplift-daily), Daily [ARPU](/docs/dictionary.md#arpu-average-revenue-per-user), Daily [Revenue](/docs/dictionary.md#revenue).

![](/files/BvOOcP6VhmtJ3m5I0fpu)

### Charts

Charts are grouped by two blocks: General and Uplift.

### Uplift. Daily statistic 

#### Uplift Daily

Uplift Daily is the difference in response rate between a predicted group and a randomized control group. This chart helps to get day-to-day uplift analysis. Assetario uses a bar chart. 

X-axis: Time grain;

Y-axis: %, [Uplift daily](/docs/dictionary.md#uplift-daily).

#### ARPU Daily

This chart shows the average revenue generated by a set of users within a defined timeframe. By default, Assetario shows the ARPU for the initial day here.  The chart displays:

* X-axis: Time grain
* Y-axis: $ or any other currency, [ARPU](/docs/dictionary.md#arpu-average-revenue-per-user)

![](/files/sOOl7D2ZodNIScJyNnIC)

### Uplift. 30 days running statistic

#### Uplift 30 days Running

For a period of n days, 30-day Running Uplift on day x means uplift calculated over the 30 days preceding day x. This chart helps to get more precise uplift analysis. Assetario uses a bar chart to show:

* X-axis: Time grain
* Y-axis: %, [Uplift Running Day 30](/docs/dictionary.md#30-day-running-uplift)

#### ARPU 30 days Running

This chart shows the average revenue generated by a set of users within a defined timeframe. By default, Assetario shows the ARPU for the last 30 days. The chart displays:

* X-axis: Time grain
* Y-axis: $ or any other currency, [ARPU](/docs/dictionary.md#arpu-average-revenue-per-user)

![](/files/uJy0NxPKoVuwZEqawSkJ)

### General

#### Revenue

The revenue chart helps to track the income from In-App-Purchases. It shows the total sum of all the IAP during the chosen day. Also with the lines you can see how much revenue can from Control and Personalized groups according to the A/B test. The chart displays: 

* X-axis: Time grain
* Y-axis: $, or any other currency a customer agreed with Assetario on

#### DAU

The charts show the number of unique users that have opened the app during a given day. With the bars chart you can see the total number of DAU. Other then that we have two more lines which show you the split for the A/B test: Control and Personalized. The chart displays:

* X-axis: Time grain
* Y-axis: Number users, [DAU](/docs/dictionary.md#dau-daily-active-users)

![](/files/cuNzmwqTZrikX7XdVjJQ)


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