App Annie Announces Ascend Advertising Analytics Product

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App Annie has announced the launch of App Annie Ascend – a mobile performance suite providing app market data and ad analytics.

After acquiring analytics company Libring last year, App Annie has rebranded its ad analytics offering in the form of a new product – App Annie Ascend.

The new product combines app market data and advertising analytics in a single mobile performance suite that is powered by data science and insights from benchmarking data.

Up until now, brands and publishers try to optimize their ad revenue and user acquisition with fragmented data sources “with heavy reliance upon agencies, IT and large internal teams instead of focusing on driving value for their consumers.” However, B2B2C mobile performance needs “a single point of control that unifies all advertising data sources for a clear line of sight to ROI.”

App Annie Ascend brings together all advertising data in one system, reducing complexity, and highlighting metrics that matter – customer acquisition costs, lifetime value, and return on ad spend.

“Ascend takes away the burden of integrating, maintaining, and constantly updating dozens of APIs, allowing us to focus on what matters: achieving our KPIs and improving our campaigns. Thanks to the critical insights Ascend provides, via its well-designed reporting tools, it has become an essential part of our marketing analytics infrastructure,” explains Spiros Christakopoulos, Director of Marketing, Reddit.

App Annie has announced the launch of App Annie Ascend – a single mobile performance suite that combines app market data and advertising analytics.

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According to Ted Krantz, App Annie’s CEO, App Annie is the first company to offer a side-by-side mobile view of market data and analytics to maximize performance.

The situation is getting more and more difficult for advertisers with the end of third-party cookies. So there’s an opportunity to combine market data with publishers’ first-party data, pull it from different platforms, and letting customers see data sets “side by side.”