ローデータ分析 & レポート | AppsFlyer

ローデータレポート

すべてのデータを手元に

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).

ローデータレポートの活用

ローデータは情報の宝庫で、多くのマーケターが今まで取得不可能と思っていたインサイトを得られます。ユーザーが最もアクティブなのは何曜日か、購入は従来型の店舗から特定の距離内で行われることが多いのか等、ローデータが持つ可能性は無限大です。このデータは、かなりターゲットを絞ったリターゲティングキャンペーンや、よりターゲットを絞ったメッセージの構築、潜在的な不正の特定などにも利用できます。

  • 市場インサイトと新規市場の発見
    ターゲットを絞ったキャンペーンは、特定のタイプのユーザーを魅了するのに役立ちますが、貴社のアプリをインストールまたは使用している意外なユーザー群を発見して驚くこともあるかもしれません。マーケターは新しいオーディエンスや地理条件、人口動態を リテンションとコホートレポート やローデータレポートを通じて発見することがよくあります。このデータは、アプリの二次使用や海外市場への拡大など、これまでに検討されたことがなかった新しい機会の創出に役立ちます。
  • 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.
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