UPLTV Releases UART, a Gamechanger for Mobile Game User Acquisition

SHANGHAI,Nov. 11,2019 -- Based on years of ad monetization and big data analytics technology,UPLTV released a "User-level Ad Revenue Tracking" (UART)and has shown how this new functionality has brought significant ROI improvement for mobile games predominantly with IAA (In-App Ads) strategy. Marketers can easily find their ad "whales" and execute their user acquisition through Facebook's Ad Impression and Ad Click App Events to generate Lookalike Audience for more targeted campaigns.

User-level Ad Revenue Tracking (UART) is a gamechanger of mobile game user acquisition

Current common practices on ad revenue distribution are based on two types of ad revenue breakdown methods which are both flawed:

1."Weighted Average Method" shown as below. This model assumes that each impression is valued equally and does not differentiate between CPC or CPI models,assuming users contributing more impressions generate more ad revenue.

Weighted Average Method

2. Segmented "weighted average" follows the same weighted average logic as the above method but before averaging it out,creates more segmented layers or price control settings on a specific ad placement. This method gets a bit closer than a pure "weighted average",but still has the following issues:

Due to its calculation method,it still has all the same problems as the weighted average method as above.

The more layers of segmenting on your ad settings can create reverse results monetization,in practice,this could lowerad revenue.

Introducing UART (User Ad Revenue Tracking)

UPLTV has been building our expertise on mobile game ad monetization. Accumulatingbillions of data points for user ad behavior,UPLTV has completely abandoned the "weighted average" method to estimate for user-level ad revenue.

UPLTV's approach to user level ad revenue:

Accurately identify,segment and track in-game "ad behavior" points

Differentiated algorithms for different ad types and formats

Our mediation platform can effectively tag and obtain data from each user-ad interaction

The 80/20 rule still applies

Based onthe UART function,UPLTV can see thataminority of users contributed to the majority of ad revenue. Therefore,treating all users equally cannot yield accurate insight.

a minority of users contributed to the majority of ad revenue

Similarly,from switching to an "impression" level view of the UART dashboard shows that thetop 20% of users(in terms of number of impressions) only contributed to 49% of ad revenue. Clearly,thenumber of impressions cannot be taken to equate to ad revenue.

UPLTV's improved ROI with UART

When it comes to UA strategy,UPLTV no longer needs to make subjective evaluations basedpurely onCPI and retention,but to accurately see the ROI of each channel based on UART.

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