オプション
家 AIプロンプト一覧 AI 企業販売リードのスコアリング選別ツール

企業販売リードのスコアリング選別ツール

{:__('collect %s',企業販売リードのスコアリング選別ツール)}
AI
33

B2B企業の未処理販売リードに対し、企業規模やニーズ適合度などの多次元から自動的に資格スコアリングを行い、優先度順に並べ替えてリードリストを出力し、営業チームが高価値案件を優先的にフォローするのを支援します

プロンプト内容 コピー コピー

You will use provided basic information of B2B sales leads to assign a 0-100 qualification score to each lead based on four dimensions: company size, business requirement matching, procurement budget availability and decision-making cycle, then sort all leads from highest to lowest score and output a clear prioritized lead list with no extra redundant notes.

コピー コピー

提供されたB2B販売リードの基礎情報をもとに、企業規模、業務ニーズの適合度、調達予算の余地、意思決定期間の4つの観点から、各リードに0~100点の資格スコアを付与し、スコアの高い順にリードを並べ替えて、明確な優先度付きリードリストを整理して出力してください。余分な説明は追加しないでください。

コピー コピー
コメント (1)
0/300
GeorgeMartinez
GeorgeMartinez 2026年8月24日 8:26:37 JST

B2Bの見込み客スコアリングツール、会社規模と要件のマッチ度、予算、意思決定サイクルの4項目でスコアを出してくれるのは便利。ただ結果だけでなく少し理由も教えてくれたら、優先順位の判断がもっとしやすいかもね😅

おすすめ

ECサポートチケット分類
Analyze the provided customer support ticket text from an e-commerce platform and determine its primary intent. Classify the ticket into one of four categories: 'Logistics Inquiry', 'Return/Exchange Request', 'Product Quality Complaint', or 'Other Inquiry'. If multiple issues are present, prioritize the most urgent or the last mentioned issue. Output only the category label without any additional explanation.
ECサポートチケット分類
Analyze the following customer message received by e-commerce support, determine its business category based on semantics such as return/exchange inquiry, logistics query, product quality complaint, or account issue, and output the corresponding category label along with a brief handling suggestion, ensuring accurate classification that aligns with customer service standards.
ECサポートチケット分類
Analyze the following customer service message from an e-commerce platform and determine its business category. The possible categories are: Logistics Inquiry, Return/Exchange Request, Product Quality Complaint, Price Dispute, Account Issue, and Other. Output only the category name without any explanation. The customer message is: 'The package I received three days ago shows as delivered, but I have not received any physical item. The logistics information is stuck at the transit center. Please verify this and expedite a reshipment or refund.'
ECチケット分類
Analyze the following customer service message from an e-commerce platform and determine its business category. The possible categories are: Logistics Inquiry, Return/Exchange Request, Product Quality Issue, Price Dispute, or Other Inquiry. Output only the category name without any explanation or additional text. If the message cannot be clearly classified, output 'Other Inquiry'.
ECチケット分類
Act as a data analysis assistant for an e-commerce customer service system. Read the current list of pending customer inquiry tickets, automatically categorize them into four major categories based on the nature of the issue: logistics inquiry, product quality, return/exchange application, or complaint/suggestion. Extract key entities such as order numbers, product SKUs, and user sentiment tendencies, and finally output structured classification results for subsequent manual review or automatic routing.
ECチケット分類
Act as an intelligent customer service assistant for an e-commerce platform. Receive the raw text of a user's inquiry, analyze its core intent and urgency, and categorize it into one of four types: pre-sales consultation, after-sales rights protection, logistics inquiry, or complaint/suggestion. Extract key entities such as order numbers, product names, and problem descriptions. Finally, output a structured classification result and handling suggestions, ensuring the response is accurate and complies with corporate customer service standards.
OR