App Radar continues to Leverage AI on its way to become One-stop Shop for App Marketers 

• App Radar reveals its latest OpenAI-powered tool, Ad Copy Generator, following the recent launch of its industry-first market intelligence tool, AI Review Summaries
  

• The new features bring App Radar one step closer to becoming a one-stop shop for app marketers following the launches of Search Visibility Score, a tool for marketers to measure the real impact of their ASO efforts, and a Google and Apple Ad Performance Tracking tool

App marketing and analytics platform App Radar has launched a further OpenAI integration, Ad Copy Generator, enabling marketers to create effective ad copy for mobile app campaigns with Google Ads and Meta Ads.

Ad Copy Generator is a powerful tool that can benefit app businesses in terms of time, cost, and efficiency. The tool cuts the ad copy creation process in half while at the same time enabling app marketers to boost ad conversion, improve ads testing framework and to stay ahead of their competition.

The new tool is simple to use, and all App Radar users need to do to start getting results is fill out a form with information such as ad channel, app name and description, valuable features, target audience, tone of ad copy and select English or German. Instantaneously, the Ad Copy Generator suggests ad headlines and descriptions optimised for Google Ads and Meta Ads.

App Radar has previously launched an industry-first market intelligence tool, AI Review Summaries, which enables app marketers to instantly gather critical insight into their own apps and competition with cutting-edge Generative AI technology.

The past year has seen App Radar introduce innovative features bringing it a step closer to becoming a one-stop shop platform for app marketers. Earlier this year, App Radar boosted its platform with, Search Visibility Score, a feature that enables app marketers to measure how their app is performing in organic search results and the impact of their App Store Optimisation (ASO) efforts. It provides a full overview of how an app is performing via organic search. The tool calculates a score through a combination of an app’s keyword rankings, the search volume of those keywords and the impressions per keyword.

Last year, App Radar also released an innovative tool, Ad Performance Tracking, that enables marketing teams to work within one platform and combine their app’s organic and paid user acquisition data in one place for both Google and Apple app stores.

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Thomas Kriebernegg, Co-Founder and Managing Director at App Radar said: “The app market is very competitive and with the current economic climate the competition will only keep increasing. That’s why we need to equip marketers with the tools that they need to give them and their app a better chance of cutting through the noise.

“For example, writing effective ad copy for mobile app campaigns is time-consuming, especially if performance marketers need to test different ad copy variations. Our new OpenAI-powered Ad Copy Generator tool, however, enables app performance marketers to save time and improve their ad performance within minutes.

“Together with our AI Review Summaries and our other new tools, Search Visibility Score and Ad Performance Tracking, we are delivering solutions that will help marketers save time, and money and enable their processes to be more efficient, overall.

“We are continually innovating and developing new tools and we are excited to eventually become a one-stop shop for app marketers.”

App Radar enables best-practice marketing for all businesses with apps. It empowers app marketers to reach more users through organic and paid user acquisition, by combining simple analytics and standardized marketing workflows. The international team of App Radar is working with customers like DEGIRO, ProCamera, Ironhide Game Studio, and Kolibri Games.

App Radar is an app marketing company founded in 2015 in Austria by Thomas Kriebernegg and Christian Janesch. App Radar is managed by Thomas Kriebernegg, Silvio Peruci and Michael Müller.

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