选项
首页 AI 提示词列表 AI 企业销售线索打分筛选工具

企业销售线索打分筛选工具

{:__('collect %s',企业销售线索打分筛选工具)}
AI
33

针对B2B企业的未处理销售线索,结合企业规模、需求匹配度等多维度自动完成资质打分,按优先级排序输出线索名单,帮助销售团队优先跟进高价值目标

提示内容 复制 复制

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.

复制 复制

你需要结合提供的B2B销售线索基础信息,从企业规模、业务需求匹配度、采购预算空间、决策周期四个维度,为每条线索给出0到100的资质评分,之后按照评分从高到低完成线索排序,整理出清晰的优先级线索列表输出,不需要额外添加冗余说明。

复制 复制
评论 (1)
0/300
GeorgeMartinez
GeorgeMartinez 2026-08-24 07:26:37

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😅

推荐

电商客服工单分类
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.
电商客服工单分类
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.
电商客服工单分类
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.'
电商客服工单分类
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'.
电商客服工单分类
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.
电商客服工单分类
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