零售企業客戶回購行為預測與行銷策略生成

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零售客戶回購預測分析工具

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針對實體零售企業的歷史消費數據，預測客戶未來3個月回購機率，篩選高潛力用戶並生成個人化觸達行銷方案

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複製

Process 12 months of customer consumption records from a offline chain convenience store, calculate each customer's consumption interval, average order value and total consumption times features, predict each customer's repurchase probability in the next three months, screen dormant customers with repurchase probability over 60%, match each selected customer with a matching discount coupon outreach plan that fits their consumption preference, and organize the result into a clear executable table.

複製

處理實體連鎖超商提供的過去12個月客戶消費記錄數據，計算每個客戶的消費間隔、單價、累計消費次數特徵，預測客戶未來3個月的回購機率，篩選出回購機率高於60%的沉睡客戶，為每個篩選出的客戶配對符合其消費偏好的滿減優惠券觸達方案，整理成清晰可執行的表格輸出結果

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BenHernández

2026-10-14 04:26:34

コンビニの購買データ1年間を分析して再購入確率を予測するツール、なかなか実用的だな。休眠顧客に適切なクーポンを送るって発想は良いけど、オフライン店舗のデータ収集が面倒そう。でも、実行可能なテーブルに出力されるなら業務効率化に役立ちそう。試してみよう！

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