遇见数据集

猴头菇产品市场价值分级数据

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浙江省数据知识产权登记平台2026-03-03 更新2026-03-04 收录
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通过分析猴头菇产品在全国各省级市场的销售表现与消费认知数据,基于市场价值评估体系,系统评估各区域市场的消费规模与需求稳定性,深入洞察不同区域对猴头菇产品的购买情况,构建科学的市场分级体系。该模型可有效识别出高价值核心市场、稳步成长市场及待培育潜力市场,为差异化区域战略制定和营销资源精准投放提供依据。根据分级结果,在A级核心市场开展每月1-2场线上线下联动的深度品类教育及促销活动;在B级成长市场每季度组织1次主题推广,侧重体验营销与渠道赋能;在C级潜力市场则每半年进行1轮品牌宣传与终端陈列优化,逐步培育消费认知。通过分层施策、动态运营,最终实现各区域市场消费渗透率的有效提升与全国市场的结构化增长。1.数据采集:采集2024年1月到6月抖音平台上猴头菇产品在全国各身份的销售数据,数据从抖音商城后台拉取,真实有效。包括以下字段:订单编号、商品ID、订单完成时间、销售省份、商品数量/件、商品金额/元,数据按需更新。 2.数据处理:数据清洗,排除异常订单,去除异常值影响;将订单号和商品ID用*进行匿名处理,根据销售省份字段聚类算出各省货品总价的平均值,表示平均单次下单金额,保存在商品单价(p)/元字段;计算出每个省订单总量,保存在交易次数(s)/次字段;计算出每个省单次下订单数量,保存在总交易数量(m)/件字段。 3.算法加工:对三个维度进行评分,交易次数评分(S):s≤5,为1分;5<s≤15,为2分;15<s≤20,为3分;20<s≤40,为4分;40<s,为5分。交易数量评分(M):m≤10,为1分;10<m≤20,为2分;20<m≤30,为3分;30<m≤40,为4分;40<m,为5分。商品单价评分(P):p≤25,为1分;25<p≤30,为2分;30<p≤35,为3分;35<p≤40,为4分;40<p,为5分。交易次数评分(S)是客户活跃度核心指标,权重设为0.4,交易数量(M)和商品单价评分(P)都设为0.3。市场价值评分(X)=0.4*S+0.3*M+0.3*P,客户等级分成ABC三级,X≥4为A级核心市场;3≤X<4为B级成长市场;X<3为C级潜力市场。在各省市场,采取差异性的销售策略,提升品牌形象。

By analyzing the sales performance and consumer perception data of Hericium erinaceus products across all provincial-level markets in China, and leveraging a market value assessment system, this dataset systematically evaluates the consumption scale and demand stability of regional markets, gains in-depth insights into the purchasing behavior of Hericium erinaceus products in different regions, and constructs a scientific market grading system. This model can effectively identify high-value core markets, steadily growing markets, and potential markets to be cultivated, providing a basis for formulating differentiated regional strategies and accurately allocating marketing resources. Based on the grading results, carry out 1 to 2 online-offline integrated in-depth category education and promotion activities per month in Class A core markets; organize 1 themed promotion per quarter in Class B growing markets, focusing on experiential marketing and channel empowerment; conduct 1 round of brand promotion and terminal display optimization every six months in Class C potential markets to gradually cultivate consumer awareness. Through differentiated policy implementation and dynamic operation, the effective improvement of consumer penetration rate in regional markets and the structured growth of the national market will be ultimately achieved. 1. Data Collection: Collect sales data of Hericium erinaceus products on the Douyin platform across all provincial-level regions in China from January to June 2024. The data is pulled from the Douyin Mall backend and is authentic and valid. The following fields are included: Order ID, Product ID, Order Completion Time, Sales Province, Product Quantity / piece, Product Amount / CNY. The data is updated as needed. 2. Data Processing: Perform data cleaning to exclude abnormal orders and eliminate the impact of outliers; anonymize Order IDs and Product IDs with *. Calculate the average total goods price per province based on the Sales Province field for clustering, which represents the average single-order amount, and store it in the Product Unit Price (p) / CNY field; calculate the total number of orders for each province and store it in the Transaction Count (s) / times field; calculate the average product quantity per single order for each province and store it in the Total Transaction Quantity (m) / piece field. 3. Algorithm Processing: Score three dimensions: Transaction Count Score (S): 1 point if s ≤ 5; 2 points if 5 < s ≤ 15; 3 points if 15 < s ≤ 20; 4 points if 20 < s ≤ 40; 5 points if s > 40. Transaction Quantity Score (M): 1 point if m ≤ 10; 2 points if 10 < m ≤ 20; 3 points if 20 < m ≤ 30; 4 points if 30 < m ≤ 40; 5 points if m > 40. Product Unit Price Score (P): 1 point if p ≤ 25; 2 points if 25 < p ≤ 30; 3 points if 30 < p ≤ 35; 4 points if 35 < p ≤ 40; 5 points if p > 40. The Transaction Count Score (S) is the core indicator of customer activity, with a weight of 0.4; both the Transaction Quantity Score (M) and Product Unit Price Score (P) have a weight of 0.3. The Market Value Score (X) = 0.4*S + 0.3*M + 0.3*P. Customer levels are divided into three grades: Class A core market when X ≥ 4; Class B growing market when 3 ≤ X < 4; Class C potential market when X < 3. Adopt differentiated sales strategies in each provincial market to enhance brand image.

创建时间:
2025-12-11
搜集汇总
背景与挑战
背景概述
该数据集基于2024年上半年抖音平台的猴头菇产品销售数据,通过分析交易次数、交易数量和商品单价三个维度,构建了市场价值评估模型,将全国各省级市场划分为A级核心、B级成长和C级潜力三个等级。数据集旨在为差异化区域营销策略提供依据,例如在核心市场加强促销活动,在潜力市场逐步培育消费认知,以提升整体市场渗透率和结构化增长。
以上内容由遇见数据集搜集并总结生成
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