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AIプロンプト一覧 論文・レポート 四半期別ECユーザーリピート購買分析記事

四半期別ECユーザーリピート購買分析記事

ECプラットフォーム直近四半期のユーザーリピート購買トランザクションデータを基に、明確で専門的な分析記事を作成し、リピート購買の法則をまとめて運用最適化案を提示します

プロンプト内容 コピー

Sort out one quarter of user transaction data from an e-commerce platform, write an analysis article combining repurchase data of different customer groups and product categories, sort out core characteristics and influencing factors of current user repurchase, summarize existing operation problems, and put forward actionable optimization suggestions for improving repurchase for the operation team.

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あるECプラットフォームの直近四半期のユーザー取引データを整理し、異なる顧客層・商品カテゴリーのリピート購買データを組み合わせて分析記事を執筆し、現在のユーザーリピート購買のコアな特徴と影響要因を整理し、既存の運用課題をまとめた上で、運用チームに向けて実行可能なリピート購買向上のための最適化提案をまとめてください。

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