Data savvy mobile marketers love their dashboards, but they have a special place in their hearts for raw data. Raw data reports provide mobile app marketers with access to everything that their attribution and analytics providers measure – so the marketer can dive deeper into their data, slicing, dicing and analyzing the data to their heart’s content. AppsFlyer provides marketers with 24/7 access to their raw data reports.
At AppsFlyer, we believe that all marketers should have total access to their data, any way they want to use it. Raw data reports can be accessed at any time as a CSV download or synced automatically to external BI systems, or even delivered daily via email. Raw data access is an incredible feature, and one of the most popular components of the AppsFlyer platform, especially for experienced, professional marketers. In fact, many large mobile app marketers and ad networks now use their Raw Data Reports as a basis for performance-based billing (the networks are paid based on Raw Data Reports).
로데이터 분석 시작하기
로데이터는 정보의 보고이며 많은 마케터가 가능하다고 전혀 생각지 못했던 통찰을 제공할 수 있습니다. 무슨 요일에 사용자들이 가장 활발한가? 실제 매장 위치에 지리적으로 근접한 영역 안에서 구매가 자주 이루어지는가? 가능성은 무한합니다. 이 데이터는 리타게팅된 캠페인에 대한 고도의 타게팅, 더 나은 타게팅 메시지의 구축, 잠재적 사기 확인 등에 사용할 수 있습니다.
- Market Insights and New Market Discovery
While targeted campaigns help attract specific types of users, you may be surprised to discover other populations of users that are installing or using your app. Often, marketers discover new audiences, geos and demographics via their retention and cohort reports and raw data reports. This data can help you create new opportunities hadn’t been previously considered, including secondary uses for the app and expansion into foreign markets.
- Fractional Attribution
Some advanced mobile advertisers prefer to use fractional attribution models rather than multi-touch or last-touch attribution Raw Data Reports include reporting across the funnel, allowing these advertisers to leverage their own fractional models as desired.
- Trend and Fraud Analysis
One of the keys to raw data report analysis is to find new usage or behavioral patterns. Some patterns will be expected, such as users completing purchases after receiving discounts or special offers. However, there may be other patterns that may prove difficult to explain. These patters are often a sign of mobile fraud and should be addressed.
- 수치차이 해소
로데이터 보고서는 데이터 플랫폼 간의 불일치를 해결할 때에도 유용합니다. 흔히 발생하는 모바일 어낼리틱스 불일치와 그 해결 방법에 관한 자세한 내용은 다음 블로그 포스트에서 알아보시기 바랍니다.