Two very important updates have been added to Libring’s solution, that gives our customers deeper visibility into their overall Acquisition to Monetization performance.

 

A critical piece to understanding In-App Purchase monetization performance is Daily Paying Users. Libring now collects the number of Daily Paying Users from the App Stores. Initially, it will be Google Play and iTunes, but other stores are coming soon.

With the inclusion of the Daily Paying Users metric (see below all the metrics that Libring collects at this point), our solution automatically calculates and shows you ARPPU (Average Revenue per Paying User) and Conversion-Rate (Daily Paying Users/Daily Active Users). These three-new metrics are essential in giving our customers a complete picture of their In-App Purchase monetization performance.

Another major update is the addition of several Acquisition Attribution partner connectors. This allows our customers to connect their Adjust, Appsflyer, Branch, Kochava and Tune accounts (other partners coming soon) to Libring. Beyond a simple connector to Libring this integration allows us to report on Cohort as a new dimension and can be used to breakout the UA metrics we collect.

Getting data from Attribution partners and being able to correlate them with the appropriate Cohort provides a powerful way to dig deeper into your User Acquisition performance. This allows you to “slice and dice” your metrics by Connection, App, Platform, AdPosition, Priority, Country, Campaign, AdName, TrackingCode, Cohort and more, up to 15 in total.

This is an exciting step in the evolution of Libring’s solution. Our goal is to constantly innovate and provide the most comprehensive report aggregation solution for Mobile App and Game Publishers.

Hope you enjoy the new features. Cheers!


Metrics Libring collects at this point:

 

Ad Network

Ad Revenue
Requests
Impressions
Completions
Conversions
Clicks
CPM
CTR
Fill Rate
ARPU (Ads)
Ads Per User
ARPPU (Ads) (New)

App Store

IAP
Downloads
Updates
Returns
ARPU (IAP)
ARPPU (IAP) (New)

Usage

User Sessions
DAU
MAU
New Users
Daily Paying Users (New)
Hits

Acquisition

Spent
Requests
Impressions
Clicks
Completions
Installs
CPI
ROI
Conversion Rate (New)

Two very important updates have been added to Libring’s solution, that gives our customers deeper visibility into their overall Acquisition to Monetization performance.

 

A critical piece to understanding In-App Purchase monetization performance is Daily Paying Users. Libring now collects the number of Daily Paying Users from the App Stores. Initially, it will be Google Play and iTunes, but other stores are coming soon.

With the inclusion of the Daily Paying Users metric (we’ve listed below all the metrics Libring collects at this point), our solution automatically calculates and shows you ARPPU (Average Revenue per Paying User) and Conversion-Rate (Daily Paying Users/Daily Active Users). These three-new metrics are essential in giving our customers a complete picture of their In-App Purchase monetization performance.

Another major update is the addition of several Acquisition Attribution partner connectors. This allows our customers to connect their Adjust, Appsflyer, Branch, Kochava and Tune accounts (other partners coming soon) to Libring. Beyond a simple connector to Libring this integration allows us to report on Cohort as a new dimension and can be used to breakout the UA metrics we collect.

Getting data from Attribution partners and being able to correlate them with the appropriate Cohort provides a powerful way to dig deeper into your User Acquisition performance. This allows you to “slice and dice” your metrics by Connection, App, Platform, AdPosition, Priority, Country, Campaign, AdName, TrackingCode, Cohort and more, up to 15 in total.

This is an exciting step in the evolution of Libring’s solution. Our goal is to constantly innovate and provide the most comprehensive report aggregation solution for Mobile App and Game Publishers.

Hope you enjoy the new features. Cheers!


Metrics Libring collects at this point:

Ad Network
Ad Revenue
Requests
Impressions
Completions
Conversions
Clicks
CPM
CTR
Fill Rate
ARPU (Ads)
Ads Per User
ARPPU (Ads) (New)

 

App Store
IAP
Downloads
Updates
Returns
ARPU (IAP)
ARPPU (IAP) (New)

 

Usage
User Sessions
DAU
MAU
New Users
Daily Paying Users (New)
Hits

Acquisition
Spent
Requests
Impressions
Clicks
Completions
Installs
CPI
ROI
Conversion Rate (New)


Libring Interviews: Camilo Fitzgerald

 

 

Check out our interview with Camilo Fitzgerald, game analyst at Futureplay Games. Camilo talks about How Futureplay Nailed Game Monetization and more.
Read More here


Tips and Tricks: Data Normalization

 

 

Yes, we know Data Normalization can be tricky sometimes! So we have come up with all the tips you need to keep you on top of the normalization process.
Read more here

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