DIGITAL MARKETING NEWS
MoPub gives publishers impression-level revenue data, links with attribution platforms
MoPub, the Twitter-owned mobile ad exchange, announced Tuesday it is making impression-level revenue data available to publishers and has partnered with seven third-party attribution platforms to deliver the data. The platforms include Adjust, Appsflyer, Branch, Kochava, Singular, SOOMLA and Tenjin.
The impression-level revenue data will be delivered in real-time once an ad impression is triggered and will include a variety of data fields, such as the demand source, ad placement, currency and country information.
Why we should care
This granular data will give mobile app publishers deeper insight into user acquisition campaign performance. MoPub said publishers will have the flexibility to process the data themselves, or send it through one of the seven third-party platform partners that has access to the data via an integration with MoPub (versus having to create a new API).
“We are extremely excited about the level of granularity and precision the impression-level revenue data from MoPub provides,” said Scott Koenigsberg, SVP of product for the social game development company Zynga, “With a more accurate and precise view of the ad revenue across each user and campaigns, we are able to spend more effectively and efficiently across different marketing channels and double down on what works.”
MoPub’s impression-level revenue data benefits any app developer aiming to monetize their app with ads and in-app purchases. The added value of the third-party integrations will make it easier for publishers who are already using those platforms to analyze the data — giving them granular details on the campaigns that generate the highest return on in app ads and purchases.
“Publishers could use the data to identify users who are valued higher by advertisers, and could potentially generate higher earnings by more strategically offering ad opportunities,” writes MoPub, “The publisher might also decide not to funnel these users into an IAP model unless the potential for revenue is higher.”
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