B2B 영업 리드 대량 자격 스코어링 및 우선순위 정렬 자동화

집

AI 프롬프트 목록

기업 영업 리드 스코어링 필터링 도구

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B2B 기업의 미처리 영업 리드에 대해 기업 규모, 요구 매칭도 등 다차원에서 자동으로 자격 스코어링을 진행하고 우선순위별로 정렬해 리드 명단을 출력해 영업팀이 고가치 목표를 우선적으로跟进할 수 있도록 돕습니다

프롬프트 내용

복사

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.

복사

제공된 B2B 영업 리드 기본 정보를 바탕으로 기업 규모, 업무 요구 매칭도, 조달 예산 공간, 의사결정 주기 4가지 차원에서 각 리드마다 0부터 100까지의 자격 점수를 부여한 뒤, 점수가 높은 순서대로 리드를 정렬하고 명확한 우선순위 리드 목록을 정리해 출력해주세요. 불필요한 추가 설명은 넣지 마세요.

복사

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의견 (1)

0/300

제출하다

GeorgeMartinez

2026년 8월 24일 오전 8시 26분 37초 GMT+09:00

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😅

추천

이커머스 티켓 분류

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 고객 지원 티켓 분류

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.

이커머스 티켓 분류기

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.'

이커머스 티켓 분류기

EC 티켓 분류

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 티켓 분류기

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.