Seller Growth Center

项	详情 Details	日期 Date	参与人 Participant
PRD初评 Initial PRD Review	奖金池：共享奖金池 Bonus Pool: Shared Bonus Pool 分阶段上线 Phased rollout 1预热：seller race——svc credits? 5w 美金行不行？seller race能不能用 Preheat: seller race - svc credits? Is 50,000 USD acceptable? Can seller race be used? agmv broi c小样本池 Small sample pool 2分层标： Layered label: a分层 Layering b打标 Labeling cby国家先放出来商家标 The country first releases the merchant's label	0906	Kim/Jelly/渚白 Kim/Jelly/Nagisa Shiro
PRD正式评审 PRD formal review

背景洞察 Background Insights

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现状产品洞察： Current Product Insights:

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现状数据盘点： Current status data inventory:

商家分类 Merchant Categories	new seller segment	segment总人数 Total number of segments	项目覆盖人数 Number of people covered by the project	覆盖人群的GMV情况 GMV situation of the covered population
头部卖家 Top seller	GSKA brands, China brands, Local KA, Emerging brands, Mass sellers	12482	4类program参加人数总计约6800 The total number of participants in the 4 types of programs is approximately 6,800	占比大盘28.5% Market share is 28.5%.
中小卖家 Small and medium-sized sellers	BD/incubation, Long-tailed sellers	514w	有孵化权益包：约20w Hatching rights package: approximately 200,000	在有权益的人群中 Among the group of people with rights 1K Seller: 4363，2.32% 1K Seller: 4363, 2.32% 3K Seller: 1452，0.77% 3K Seller: 1452, 0.77% 5K Seller: 748，0.40% 5K Seller: 748, 0.40% (D90 L30D GMV layer % out of live 0-90D seller 188464, as of 31 May 2024)

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问题： Question:

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策略： Strategy:

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目标：（呈现良性分布） Objective: (Present a healthy distribution)

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数据洞察 Data Insights

分层 Layering	店铺数 Number of stores	店铺数占比 Proportion of store numbers	GMV占比 GMV share
7
6
5
4
3
2
1
0
总计 Total

竞品分析 Competitive Product Analysis

	●淘宝： Taobao:
	●抖音： Douyin:
	●Shopee： Shopee:

需求概述： Overview of Demand:

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数据：

搭建商家经营诊断模型-

商家SDS分数及分层计算

Data: Build a merchant operation diagnosis model - Merchant SDS score and stratification calculation

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Step1：by行业（主营行业）和商家层级颗粒度，根据不同维度的商家经营指标值，去排名，根据排名的分位值进行赋分。
Step 1: Rank based on the industry (main industry) and merchant level granularity, using different dimensions of merchant operational metrics, and assign scores based on the ranking percentiles.

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step2：根据分值，结合指标权重，进行总分计算。根据总分，进行商家分层。
Step 2: Calculate the total score based on the scores and the weight of the indicators. Based on the total score, categorize the merchants.

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商家分层分为：评定分层（过去1个月的表现）；预测分层（当月）
Merchant stratification is divided into: assessment stratification (performance over the past month); forecast stratification (current month)

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根据基础分层，提供基础权益 According to the basic tier, provide basic rights

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根据限时任务完成情况，提供额外权益 Based on the completion of time-limited tasks, additional benefits will be provided

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商家端： Merchant side:

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首页重构(TBD；一期先透传评定层级&预测层级） Home Page Reconstruction (TBD; Phase One will first transmit the evaluation level & prediction level)

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ASC

Seller Growth页面重建

ASC Seller Growth Page Reconstruction

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招商入驻（TBD) Investment Attraction and Settlement (TBD)

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Onboarding(开店前准备） Onboarding (Preparation Before Opening a Store)

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新手期（Live daya=0-90） Newbie period (Live days = 0-90)

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经营期（liveday=91-180) Operating period (liveday=91-180)

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经营期(liveday=181-365） Operating period (liveday=181-365)

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经营期（liveday>365） Operating period (liveday > 365)

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WorkStation： WorkStation:

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新的Seller report New Seller Report

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分层分行业的考核指标/权重配置 Layered and industry-specific assessment indicators/weight distribution

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目标考核商家范围

：

BD, LT/Mass,

need to exclude Barter, test stores, Choice, MP3, CB stores

Target assessment merchant scope: BD, LT/Mass, need to exclude Barter, test stores, Choice, MP3, CB stores

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Mass Seller: GMV>5K USD（影响面太大了，会影响高质量商家）

LT Sellers: Live Date>12 Months & GMV<5K USD

BD/Incubation: Live Date<12 Months & GMV<5K USD

Mass Seller: GMV>5K USD (The impact is too large and will affect high-quality merchants) LT Sellers: Live Date>12 Months & GMV<5K USD BD/Incubation: Live Date<12 Months & GMV<5K USD

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补一个商家的商家数和占比，GMV Supplement the number of merchants and their proportion, GMV

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参考资料： Reference materials:

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淘宝商家：

淘宝

五力层级Lv.5~Lv.8的商家（

淘宝

Lv.1~Lv.4主要由子聪团队规模化运营，不展示五力产品），总数约37万（预估），GMV占比约68%（预估）。

Taobao merchants: Merchants at Taobao's five-force levels Lv.5 to Lv.8 (Taobao Lv.1 to Lv.4 are mainly operated on a large scale by the Zicong team and do not display five-force products), with a total of approximately 370,000 (estimated), accounting for about 68% of GMV (estimated).

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天猫商家：天猫五力层级Lv.1~Lv.7的商家，剔除SSKA和SKA商家外（主要考虑商务合作敏感性，且有单独JBP等合作），均展示五力产品，总数约32万（预估），GMV占比约58%（预估）。
Tmall merchants: Merchants at Tmall's Five Forces levels Lv.1 to Lv.7, excluding SSKA and SKA merchants (mainly considering the sensitivity of business cooperation and those with separate JBP and other collaborations), all display Five Forces products, totaling approximately 320,000 (estimated), with a GMV share of about 58% (estimated).

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Effective for whom

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非考核范围内的店铺：菜单配置黑名单，若通过链接直接进入页面：考核评分：暂无评分。
Stores not within the assessment scope: Menu configuration blacklist. If accessed directly via link: Assessment score: No score available.

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分层考核及权益执行周期：

商家分层考核数据为完整月，对应概念如下：

Layered assessment and rights execution cycle: The merchant layered assessment data is for a complete month, corresponding concepts are as follows:

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商家分层： Merchant Segmentation:

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评定层级：

上一完整自然月（如：6.1-6.30）

Evaluation Level: The previous complete natural month (e.g.: June 1 - June 30)

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计算与调整期：（如：7月2-4号）。7月5号展示评定分层层级
Calculation and adjustment period: (e.g., July 2-4). July 5 is the date for displaying and evaluating the grading levels.

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权益生效期：（如：7月5号-8月4号）----个别权益单独调整
Effective period of rights: (e.g., July 5 - August 4) ---- individual rights adjusted separately

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预测层级：

当月截止当前的数据，计算当天的分数对应的层级；

Prediction Level: The data up to the current month is used to calculate the level corresponding to the score for the day

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考核周期：

按自然月

Assessment period: by calendar month

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预测得分：

当天的SDS分

Predicted score: SDS score for the day

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权益：

见权益项，对应“预估层级”可拥有的权益项高亮，其他置灰；

Rights: See the rights items, with the corresponding "estimated level" rights items highlighted, and others grayed out;

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分层公式整体说明 Layered Formula Overall Explanation

商家分层方案由模块、权重、指标、指标权重共同决定，模块&权重，指标及指标权重均支持配置：
The merchant segmentation plan is determined by modules, weights, indicators, and indicator weights, all of which support configuration

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商家分层定级结果：根据商家分层评分和定级映射关系决定定级结果
Merchant tiering and grading results: The grading results are determined based on the merchant tiering scores and the mapping relationship of the grading

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商家分层评分：每一个考核能力项定义为1个考核模块，分层评分根据多模块加权动态计算得到，其中每考核模块结果= 单模块得分 *单模块对应的权重，模块权重加和=100%
Merchant tiered scoring: Each assessment capability item is defined as one assessment module, and the tiered scoring is dynamically calculated based on the weighted sum of multiple modules. The result of each assessment module = single module score * corresponding weight of the single module, and the sum of module weights = 100%

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单模块得分：由各个考核模块多个指标*权重加和得到 Single module score: obtained by summing the weighted values of multiple indicators from each assessment module

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eg:总得分=子指标得分*权重+子指标得分*权重+子指标得分*权重
Total score = sub-indicator score * weight + sub-indicator score * weight + sub-indicator score * weight

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Requests List： Requests List:

节奏 Rhythm	产品能力项 Product Capability Items	子域 Subdomain	需求描述 Demand Description	优先级 Priority	开发 Development
0920？ 0920?	运营活动 Operational activities -预热for 商家成长 - Preheating for Merchant Growth	Seller Growth Center Page——Seller Race	●配置Race名称 Configure Race Name ●决定竞赛指标 Determining Competition Indicators ●配置激励 Incentive Configuration ●配置激励人群数 Number of configured incentivized crowds
0913	商家分层指标产出 Merchant Tiering Indicator Output	商品力数据 Product Power Data	●指标计算： Indicator calculation: ●明细数据:上一完整考核周期、当月MTD明细 Detailed data: Previous complete assessment period, current month's MTD details	P0	ETA
		营销力数据 Marketing Power Data	●指标计算： Indicator calculation: ●明细数据:上一完整考核周期、当月MTD明细 Detailed data: Previous complete assessment period, current month's MTD details	P0
		服务力数据 Service capability data	●指标计算: Indicator calculation: ●明细数据：上一完整考核周期、当月MTD明细 Detailed data: Previous complete assessment period, current month's MTD details	P0
		交易力数据 Transaction power data	●指标计算： Indicator calculation: ●上一完整考核周期、当月MTD明细 Previous complete assessment period, current month's MTD details	P0
	商家SDS总分与分层计算 Merchant SDS Total Score and Hierarchical Calculation	by主营行业 by main industry by商家分层 by merchant segmentation by国家 by country 根据4力指标的Value值进行排名赋分；根据各个指标的权重；计算各项得分 Rank and assign scores based on the Value values of the four force indicators; calculate scores according to the weight of each indicator 计算总的SDS分 Calculate the total SDS score		P0
0920	商家分层 Merchant Segmentation	根据SDS分进行商家分层 Merchant stratification based on SDS scores	●摸底数据定义商家分几层 The baseline data defines how many tiers the merchants are divided into ●意向层级： Intention Level: ○Onboarding：新商，0-90，做好经营准备 Onboarding: New business, 0-90, prepare for operations ○0：经营期，水平较差，未能参与评级 0: Operating period, performance is poor, unable to participate in rating ○1-5Level：经营期，可分为低层级；核腰；Top商家 1-5 Level: Operating period, can be divided into low level; core waist; top merchants ○6-7Level：高质量商家-Barter。（不外显分层产品） 6-7 Level: High-quality merchants - Barter. (Non-visible tiered products)	P0
0925	四力 Four Forces 子指标阈值 Sub-indicator threshold 含健康分 Contains health components	定义指标阈值 Define indicator thresholds	●敲定不同层级商家的渗透率后 After finalizing the penetration rates of merchants at different levels ●敲定升级为不同层级商家的四大力下设子指标的阈值 Determine the thresholds for the four major sub-indicators of different levels of merchants for the upgrade ●需要考虑商家健康分（如果》48分，不参加排级） The merchant's health score needs to be considered (if > 48 points, do not participate in ranking)	P0
0925	商家定级 Merchant Rating	商家层级取短板逻辑 Merchant Hierarchy Shortcomings Logic	●木桶理论商家总层级取短板逻辑 The wooden barrel theory: the overall level of merchants is determined by the shortest board ○评定层级 Evaluation Level ○预测层级 Prediction hierarchy eg： eg: ○商品力：3level Product Power: 3 levels ○营销力：2level Marketing Power: 2 level ○服务力：2level Service Capability: 2 level ○教育力：1level Educational Power: Level 1 ○商家层级：1level Merchant Level: 1 level	P0
0930	商家分层结果透出 Merchant tiering results revealed	【商家端】 [Merchant Side] >seller growth page页 Seller growth page	●评定层级： Evaluation levels: ○权益 Rights ●预测层级： Prediction hierarchy: ○权益 Rights ●评定层级结果、历史考核明细展示 Evaluation level results, historical assessment details display ●预测层级、当月考核明细数据展示 Forecast hierarchy, monthly assessment detail data display	P0
		【商家端】 [Merchant Side] >商家首页 > Merchant Homepage	●首页模块展示商家档案卡片 Home module displays merchant profile cards ○商家基础信息：（公司名称、头像、主营行业、BU） Merchant Basic Information: (Company Name, Avatar, Main Industry, BU) ○评定层级 Evaluation Level ○评定层级的Ranking排名 Ranking of evaluation levels ○预测层级 Prediction hierarchy	P0
		【数据看板】 Data Dashboard data monitor performance看板 Data monitor performance dashboard	●商家分层数据看板 Merchant Hierarchical Data Dashboard ●国家商家层级渗透率 National Merchant Tier Penetration Rate ●各层级指标完成情况 Completion status of indicators at each level ●任务曝光 Task Exposure ●任务完成率 Task completion rate	P0
		【商家端】 [Merchant Side] 分层与任务结合 Layering and Task Integration	●分层与成长任务结合 Combining stratification and growth tasks ●任何与Offering Package结合 Any combination with the Offering Package
		【小二端】【Little Second End】国家查看分层情况 National inspection of stratification 情况定义运营商家重点 Definition of Key Operators 智能任务下发 Intelligent task assignment	●小二端上线分层模型 The small second-end online layered model ●分层模型对应的任务池 Task pool corresponding to the layered model ●任务智能下发 Task intelligence distribution
		【数科端】 "Numerous subjects" A/B测试 A/B testing	●检测新的商家分层方法是否有负向影响 Testing whether the new merchant segmentation method has negative effects
1105		【算法端】 [Algorithm End] GMV影响因子算法模型需求 GMV impact factor algorithm model requirements	1运营分析指标有多样性，但与结果指标[GMV]关联性不强。 Operational analysis indicators are diverse, but their correlation with the outcome indicator [GMV] is not strong. 希望通过GMV模型帮助识别有潜力的商家，来加强分层与任务投放的精准度。 The hope is to use the GMV model to help identify potential merchants, thereby enhancing the accuracy of stratification and task allocation. 2常规指标的观测周期长，影响策略敏捷迭代。 The observation period for conventional indicators is long, affecting the agile iteration of strategies. 缺乏算法模型，目前通过GMV或商家层级等指标，整体观测周期较长(by月)。引入GMV影响因子模型后，可以将观测周期缩短到周，便于策略上做更敏捷的迭代。 The lack of algorithm models currently leads to a longer overall observation period (by month) through indicators such as GMV or merchant levels. After introducing the GMV impact factor model, the observation period can be shortened to weeks, facilitating more agile iterations in strategy.	P0
1205	权益发放 Distribution of benefits		●根据商家11月经营表现，12月05号展示评定层级 Based on the merchant's performance in November, the evaluation level will be displayed on December 5th ●发放属于11月表现的权益 Distribute the benefits corresponding to the performance in November ●权益生效周期：1205-0104 Effective period of rights: 1205-0104	P0
	数据需求 Data Requirements	BI	●分层数据看板等需求，单独提需 Layered data dashboard and other requirements, to be requested separately	单独提给DA/BI团队 Submitted separately to the DA/BI team

需求节奏 Demand Rhythm

Step1：Seller Race上线 Step 1: Seller Race goes live

Step2：数据指标开发完成 Step 2: Data indicator development completed

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四力子指标明细数据 Detailed data of the four-force indicators

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SDS分 SDS points

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商家分层：评定+预测 Merchant Segmentation: Assessment + Prediction

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子指标阈值 Sub-indicator threshold

Step3：商家端产品能力上线 Step 3: Launch of Product Capabilities on the Merchant Side

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Seller Growth Center Page：商家层级+权益
Seller Growth Center Page: Merchant Level + Benefits

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Home Page:

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商家卡片 Merchant Card

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任务| 激励权益+ 层级权益 Task | Incentive Rights + Hierarchical Rights

Step4：小二端产品能力上线 Step 4: Launch of the product capabilities for the secondary end

Step5：第一次商家分层权益生效 Step 5: The first tiered benefits for merchants take effect

需求详情： Demand details:

5.1 Seller Race

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配置端 Configuration End

12.12LAZMALLCAMPAIGNRESO 12.12 LAZ MALL CAMPAIGN RESO 11.11LAZMALLCAMPAIGN 11.11 LAZ MALL CAMPAIGN ACESTARTTIME: 2023-10-16 SEARCHBYRACESTATUS 2024-01-29 RACEENDTIME: TOTALTRACK:5 SEARCHBYRACELD ROM2023-09-18 TO2023-10-26 SEARCHBYRACENAME ACE[剑屏测试线上活动] ACE [Sword Screen Testing Online Event] CREATENEWRACE CREATE NEW RACE TO2023-11-23 ROM2024-01-31 MANAGETRACK 2023-09-08 RACESTATUS: EASINGSTAR OTALTRACK:5 ROM2023-10-18 TOTALTRACK:1 TO2024-02-15 MANAGETRACK RACENAME RACENAME: SELECTDATE RCERACE SELECTDATE 剑屏 Sword Screen RACEADMIN 剑屏 Sword Screen MANAGETRACK RCERACE RACELD RACETIME +剑屏 +Sword Screen SEARCH RACELD: ACTION ACTIVE ACTIVE CTIVE RESET 九物 Nine things 59 80 242599 STATUS .590 场亿代 TIME 242O 九畅2 九畅2 鱼 O成~ 鱼 PAIANRESOU	●Check Seller Race lists ○标注竞赛举办方 Labeling competition organizer
PLEASEUPLOADPDFFILES,FILESIZE(MAX):10M PLEASE UPLOAD PDF FILES, FILE SIZE (MAX): 10M PLEASEUPLOADPDFFILES,FILESIZE(MAX):10M PLEASE UPLOAD PDF FILES, FILE SIZE (MAX): 10M UPLOADTERMS&CONDITIONSFILE UPLOAD TERMS & CONDITIONS FILE PLEASEUPLOADPNG,JPG,JPEGFILES, PLEASE UPLOAD PNG, JPG, JPEG FILES, PLEASEENTERRACENAME PLEASE ENTER RACE NAME CREATENEWRACE CREATE NEW RACE PLEASEENTERRACEDESCRIPTION PLEASE ENTER RACE DESCRIPTION PLEASESELECTADMIN PLEASE SELECT ADMIN RACELIVEDURATION RACETEASINGSTARTDATE RACEBACKGROUNDLMAGE RACE BACKGROUND IMAGE RACEDESCRIPTION RACE DESCRIPTION RACENAME TERMS&CONDITIONS TERMS & CONDITIONS RESOLUTION:210BY120 RESOLUTION: 210 BY 120 RACEMATERIALPDF FILESIZE(MAX:2M STARTDATE UPLOADPDFFILE ENDDATE ADMIN ADDPICTURE SELECTDATE 0/120 SUBMIT CANCE 0/300 审鱼 Examine Fish	●Creat New Race Create New Race
ALPLEASEUPLOADPDFFILES,FILESIZE(MAX):10M BASICLNFORMATION(TRACEID:120) BASIC INFORMATION (TRACE ID: 120) SF133C9AFEEA24A5FA6F97F1E245E2CB2U.PDF TEST剑屏测试线上活动 TEST Sword Screen Test Online Event RACERULESETTINGD TEST剑屏测试线上活动 TEST Sword Screen Test Online Event RACETRACKDETAIL *TESTTRACK TRACKDESCRIPTION TRACK DESCRIPTION PROPORTION RACETYPE RACEMETRIC 剑屏(267575) Sword Screen (267575) STORENEWBUYER TRACKMATERIALPL SELLER CANCEL TRACKNAME SUBMIT 14/300 14/120 YES ADMIN NO 50 X	●Set Race Details ○date ○name ○race type ○Metrics ○
FASTFULFILLMENTRATE(NON-FBL) FAST FULFILLMENT RATE (NON-FBL) RACETRACKDETAIL RACEAWARDSETTINGD RACE AWARD SETTING D RACERULESETTINGI CANCELLATIONRATE CANCELLATION RATE STORENEWBUYER AWARDTHRESHOLD RETURNRATE RETURN RATE CREATENOVAPOOLHERE CREATE NEW POOL HERE RACEPARTICIPANTPOOL RACE PARTICIPANT POOL RACEMETRIC STOREVISITORS PRIORITY1 ADDMETRIC PRIORITY4 PROPORTION SELLERRATING PRIORITY2 PROPORTION PRIORITY3 SUBMIT CANCEL 72951 50 50
RACETRACKDETAIL RACEPARTICIPANTPOOLCREATENOVAPOOLHERE RACE PARTICIPANT POOL CREATE NOVA POOL HERE FASTFULFILLMENTRATE(NON-FBL) FAST FULFILLMENT RATE (NON-FBL) *NUMBEROFWINNERS STORENEWBUYER RACEAWARDSETTINGD RACE AWARD SETTING D SELLERRATING PROPORTION PRIORITY3 AWARDTHRESHOLD PRIORITY4 CANCELLATIONRATE CANCELLATION RATE PRIORITY2 STOREVISITORS RETURNRATE RETURN RATE WINNERS CREDITS PROPORTION ADDMETRIC RIORITY1 PRIORITY1 CANCEL SUBMIT 50 72951 山命 50 市 %

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Display terminal

SELLERRACE

LEVEL2A

MINIMUMREVENUES80OK

DANNISWANGDANNISWANGDAN...

LEVEL3A

SELLERCENTE

MINIMUMREVENUES800K MINIMUM REVENUES 800K

MAINCATEGORYEMOBLE&TABLET
MAIN CATEGORY: MOBILE & TABLET

S9000MORETOLEVELUP> S9000MORETOLEVELUP>

AJOINFOREXCLUSIVEBENEFIT

RANK2:T0P10%UPVS.YESTER RANK2:TOP10%UPVS.YESTER

ORDERS&DELIVERY ORDERS & DELIVERY

REVENUEOS989

MARKETINGCENTER

LEARNANDGROW

ELLERPOLICIES

DATAINSIGHT

AZADAUNIVERSIT

ROWTHCENTE

一LEVEL2 LEVEL 2

LAZADA

IVESTREAM

四PRODUCTS Four PRODUCTS

LEVEL1-

IDATAISUPDATEDASOF26OCT2023
DATA IS UPDATED AS OF 26 OCT 2023

BABYESSENTIALSBYFIRSTFEWYE
BABY ESSENTIALS BY FIRST FEW YE

EGOOFFICIALSTORE

POINTS:48.37 POINTS: 48.37

OINTS:49.46 POINTS: 49.46

STORENEWBUYERI

TOP2OSTORES

POINTS:48.37 POINTS: 48.37

STOREVISITORSD

RANKING

POINTS:46.74 POINTS: 46.74

POINTS:48.91 POINTS: 48.91

BABYKINGDOM

MOTHERSWORK

POINTS:46.74 POINTS: 46.74

POINTS:43.48 POINTS: 43.48

POINTS:45.65 POINTS: 45.65

POINTS:49.46 POINTS: 49.46

TOTALPOINTS

POINTS:47.28 POINTS: 47.28

POINTS:48.91 POINTS: 48.91

STORENAME

POINTS:47.28 POINTS: 47.28

92.93

POINTS:47.83 POINTS: 47.83

KRAFTER

96.74

POINTS:47.83 POINTS: 47.83

RBHOME

WALCH

95.11

93.48

RANK

98.37

94.57

95.11

ARS

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竞赛规则 Competition Rules

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决定竞赛指标（可以是商家分层的子指标） Determine competition indicators (which can be sub-indicators of merchant segmentation)

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决定竞赛的激励 Incentives that determine the competition

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SVC Credits

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Actions to win:

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Use PDF to Clarify how to win

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权益发放 Distribution of benefits

	●决定获胜比例 Determining the winning ratio ●决定权益类型是SVC Credits The type of equity determined is SVC Credits
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5.2 商家综合经营能力-四力与子指标 5.2 Comprehensive Business Capability of Merchants - Four Forces and Sub-indicators

本期包含 ①交易力、②商品力、③营销力、③ 服务力 4大模块，各大模块分别包含1个，2个指标，1个指标，3个指标。本次指标均为默认指标。（后续行业可以自行添加，进行后端配置）。计算包含的指标描述如下，详细计算口径及计算办法如下：
This issue includes four major modules: ① Trading Power, ② Product Power, ③ Marketing Power, and ④ Service Power. Each major module contains 1, 2, 1, and 3 indicators, respectively. The indicators this time are all default indicators. (Subsequent industries can add their own and configure them in the backend). The descriptions of the included indicators are as follows, with detailed calculation standards and methods outlined below:

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计算每个指标的得分，要分venture + main cate的维度
Calculate the score for each indicator, considering the dimensions of venture + main category

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如果店铺有几个行业，则取每个行业下，各个指标加总的SDS分，取最高值对应的行业
If the store has several industries, take the SDS score of each indicator summed under each industry and select the industry corresponding to the highest value

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各个子指标的数据分析，尽可能保证分数均匀； Data analysis of each sub-indicator should ensure that scores are as evenly distributed as possible

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参考值维度venture + segament + Main Category+ bu level1 + bu level2 ：
Reference value dimensions: venture + segment + Main Category + bu level1 + bu level2:

考核能力项维度 Assessment Capability Dimension	能力项权重 Weight of Ability Items	考核指标 Assessment indicators		定义 Definition	得分计算公式 Scoring Calculation Formula	得分机制说明 Scoring Mechanism Description
成交力 Transaction power	0.3	GMV成交金额 GMV transaction amount Last 30 day GMV in USD	by国家 by country	近30天GMV成交金额(排风控) GMV transaction amount in the last 30 days (excluding risk control) 1/7/30/60天 1/7/30/60 days	排名得分 Ranking Score	●[95%,100%]，得总分100% [95%,100%], total score 100% ●[90%,95%)，得动态总分90% [90%,95%), dynamic total score 90% ●[80%,90%)，得动态总分80% [80%,90%), dynamic total score 80% ●[70%,80%)，得动态总分60% [70%,80%), dynamic total score 60% ●[60%,70%)，得动态总分40% [60%,70%), dynamic total score 40% ●[0%,60%)，得0分 [0%,60%), score 0 points
商品力 Product power	0.2	动销新品数 Number of new products sold Effective New Products	by行业 by industry	近30天发布且发布后30天内能动销的商品数 The number of products released in the last 30 days that can be sold within 30 days after their release	排名得分 Ranking Score	●[95%,100%]，得动态总分100% [95%,100%], dynamic total score 100% ●[90%,95%)，得动态总分90% [90%,95%), dynamic total score 90% ●[80%,90%)，得动态总分80% [80%,90%), dynamic total score 80% ●[70%,80%)，得动态总分60% [70%,80%), dynamic total score 60% ●[60%,70%)，得动态总分40% [60%,70%), dynamic total score 40% ●[0%,60%)，得0分 [0%,60%), score 0 points
商品力 Product power	0.1	PHP品数 PHP product quantity	by行业 by industry	近30天发布且发布后30天内能动销的商品数 The number of products released in the last 30 days that can be sold within 30 days after their release	排名得分 Ranking Score	●[95%,100%]，得动态总分100% [95%,100%], dynamic total score 100% ●[90%,95%)，得动态总分90% [90%,95%), dynamic total score 90% ●[80%,90%)，得动态总分80% [80%,90%), dynamic total score 80% ●[70%,80%)，得动态总分60% [70%,80%), dynamic total score 60% ●[60%,70%)，得动态总分40% [60%,70%), dynamic total score 40% ●[0%,60%)，得0分 [0%,60%), score 0 points
营销力 Marketing Power	0.1	流量 Flow rate UV	by行业 by industry	Last 30 day shop total UV for this seller. Last 30 days shop total UV for this seller. 1/7/30/60	1d/7d/60d
营销力 Marketing Power	0？ 0?	付费流量 Paid traffic UV
服务力 Service capability	0.1	10分钟及时回复率 10-minute timely response rate 10-mins Chat Response Rate	by行业 by industry	近30天 Last 30 days	排名得分 Ranking Score	●[95%,100%]，得动态总分100% [95%,100%], dynamic total score 100% ●[90%,95%)，得动态总分90% [90%,95%), dynamic total score 90% ●[80%,90%)，得动态总分80% [80%,90%), dynamic total score 80% ●[70%,80%)，得动态总分60% [70%,80%), dynamic total score 60% ●[60%,70%)，得动态总分40% [60%,70%), dynamic total score 40% ●[0%,60%)，得0分 [0%,60%), score 0 points
	0.1	退货率 Return rate Return Rate	by行业 by industry	近30天 Last 30 days	排名得分 Ranking Score	●前[0%,5%]，得动态总分100% Before [0%, 5%], the dynamic total score 100% ●前（5%,10%] ，得动态总分90% For the range (5%, 10%], the dynamic total score 90% ●前（10%,20%]，得动态总分80% Before (10%, 20%], the dynamic total score 80% ●前（20%,40%]，得动态总分60% Before (20%, 40%], the dynamic total score 60% ●前（40%,60%]，得动态总分40% Before (40%, 60%], the dynamic total score 40% ●前（60%,100%]，得0分 In the range (60%, 100], you get 0 points
	0.1	好评率 Positive review rate Seller Rating	by行业 by industry	默认好评算不算 Does a default positive review count?	排名得分 Ranking Score	●[95%,100%]，得动态总分100% [95%,100%], dynamic total score 100% ●[90%,95%)，得动态总分90% [90%,95%), dynamic total score 90% ●[80%,90%)，得动态总分80% [80%,90%), dynamic total score 80% ●[70%,80%)，得动态总分60% [70%,80%), dynamic total score 60% ●[60%,70%)，得动态总分40% [60%,70%), dynamic total score 40% ●[0%,60%)，得0分 [0%,60%), score 0 points
●排名逻辑：按照商家此项能力在三级行业排名，排名越靠前，得分越高，举例top1%得100分。若三级行业的动销商家数不足100，则根据二级行业排名；依次向上一级类目递推。 Ranking Logic: The ranking is based on the merchant's capability within the tertiary industry. The higher the rank, the higher the score; for example, the top 1% scores 100 points. If there are fewer than 100 active merchants in the tertiary industry, the ranking will be based on the secondary industry; this process continues up to the higher category. ●异常处理：考核指标若为0，或者空值，则得0分 Exception handling: If the assessment indicator is 0 or null, then the score is 0 ●风险底线要求：NCP<48。否则商家评Unhealth商家，不参加评级 Risk bottom line requirement: NCP < 48. Otherwise, the merchant will be rated as Unhealthy and will not participate in the rating.

5.2.1 商家分层说明 5.2.1 Explanation of Merchant Hierarchy

层级 Hierarchy	评判标准 Evaluation Criteria	解释 Explanation
7		Barter商家 Barter merchant 不展示评级产品形态 Do not display the rated product form
6
5	SDS>=90 SDS>=90	●经营期商家 Business period merchant ○Top商家 Top merchants ○核腰 Nuclear waist ○底部 Bottom ○未进入层级商家 Not yet entered the tiered merchant *左侧值均值拟定，需要测算后拍出 The average value on the left side is to be determined and measured before being finalized
4	SDS>=80 SDS>=80
3	70<SDS<=80 70%
2	60<SDS<=70 60%
1	40<SDS<=60 40%
0	SDS<=40 SDS<40
新商 New Business		●Onboarding商家 Onboarding merchants ●需要做好经营前准备不参与评级 Preparation for management is necessary; do not participate in the rating
Leads		●招商入驻（TBD) Investment Attraction and Settlement (TBD)

5.2.2 商家分层及权益说明 5.2.2 Merchant Tiering and Benefits Explanation

层级 Hierarchy	评判标准 Evaluation Criteria	商家对应形态 Merchant Corresponding Form	层级权益 Hierarchical Rights	激励权益 Incentive rights
7		Barter商家 Barter merchant 不展示评级产品形态 Do not display the rated product form
6
5	SDS>=90 SDS>=90	●经营期商家 Business period merchant ○Top商家 Top merchants ○核腰 Nuclear waist ○底部 Bottom ○未进入层级商家 Not yet entered the tiered merchant *左侧值均值拟定，需要测算后拍出 The average value on the left side is to be determined and measured before being finalized	●SVC Credits ○奖金大池 Bonus Pool 不限定SVC总额度 Unlimited total quota for SVC ●未来权益 Future Rights ○买家侧透标（未解锁） Buyer side transparent label (not unlocked) ○.....	Offering Package 的各项激励权益 Incentive rights and benefits
4	SDS>=80 SDS>=80
3	70<SDS<=80 70%
2	60<SDS<=70 60%
1	40<SDS<=60 40%
0	SDS<=40 SDS<40
新商 New Business		●Onboarding商家 Onboarding merchants ●需要做好经营前准备不参与评级 Preparation for management is necessary; do not participate in the rating
Leads		●招商入驻（TBD) Investment Attraction and Settlement (TBD)

5.3 数据端：落表需求 5.3 Data End: Drop Table Demand

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1. 排名： 1. Ranking:

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商家各项经营指标的事实 The facts of various business performance indicators

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风险健康分 Risk Health Score

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(tbd)可新增指标 New indicators can be added

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2.权重： 2. Weight:

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商家各项经营指标的权重 Weight of various business performance indicators

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可调整指标权重 Adjustable indicator weights

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3.分层： 3. Layering:

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分值：分层（评定 vs 预测） Score: Stratification (Assessment vs Prediction)

Table1：DA—商家经营实力表现—指标明细表 Table 1: DA—Merchant Operational Strength Performance—Indicator Detail Table

需求：育商指标体系建设，新增如下底表 Requirement: Construction of the business cultivation indicator system, with the addition of the following base table

1	seller_segment	string	seller segment: GSKA/KA/HPM/LM/SMALL
2	cluster	string	cluster
3	main_category_id	bigint	major category id for this seller (major = most sales/most online)
4	main_category_name	string	major category id for this seller
5	business_type	string	Seller business type. LazGlobal, LazMall and Lazada Seller business type. LazGlobal, LazMall, and Lazada
6	business_type_level2	string	LazMall (official Stores - local, cb, retail, supermart), LazGlobal (Crossborder) or Lazada (normal seller)
7	overall_take_rate_30d overall take rate 30d	double	30d Seller overall take rate = 30d Seller overall spent / 30d GMV
8	overall_take_rate_guideline overall take rate guideline	double	take rate guideline
9	overall_spend_usd_30d	double	L30d Seller overall spent amount
10	ads_spend_usd_30d	double	L30d Advertising Spent
11	fs_spend_fee_usd_30d	double	L30d Freeshipping Spent
12	edc_fee_usd_30d	double	L30d Everyday cashback Spent
13	lpi_fee_actual_usd_30d	double	L30d LPI Spent
14	lazpick_comm_usd_30d	double	L03d lazpick spent
15	lazmall_comm_usd_30d	double	L30d lazmall spent
16	ipv_order_rate_30d	double	[Traffic Conversion] L30D IPV CR (Order/IPV)
17	uv_buyer_rate_30d	double	[Traffic Conversion] L30D Buyer CR(Buyer/UV)
18	pv_uv_30d	bigint	[Traffic Acquisition] L30d store uv
19	pay_uv_30d	bigint	[Traffic Acquisition] L30d pay uv (ss+sp+asa+ams)
20	pay_uv_rate_30d	double	[Traffic Acquisition] L30d pay uv / store uv
21	per_pay_uv_cost_30d	double	[Traffic Acquisition] L30d per pay uv cost
22	gmv_usd_30d	double	[Transaction] Internal use only. Last 30 day GMV in USD.
23	byr_cnt_30d	bigint	[Transaction] Internal use only. Last 30 day buyer count
24	arpu_usd_30d	double	[Transaction] average revenue per user (gmv_usd_30d/byr_cnt_30d) Average revenue per user (gmv_usd_30d/byr_cnt_30d)
25	ord_buyer_rate_30d 30-day buyer rate	double	[Transaction] L30d orders / buyers
26	ord_buyer_rate_90d order_buyer_rate_90d	double	[Transaction] L90d orders / buyers
27	selling_itm_cnt_30d selling_item_count_30d	bigint	[Assortment] L30d Internal use only. Last 30 day selling item count
28	effective_new_product_30d
29	php_product_30d
30	onsite_itm_cnt_1d	bigint	[Assortment] L30d 1 day onsite item count for this seller. L30d 1 day onsite item count for this seller.
31	selling_itm_rate_30d selling_item_rate_30d	double	[Assortment] L30d selling_itm_cnt_30d/onsite_itm_cnt_30d [Assortment] L30d selling_item_count_30d/onsite_item_count_30d
32	prd_rvw_pos_cnt_90d	bigint	[Assortment] L30d Count of positive product ratings(rating=5) for last 90 days [Assortment] L30d Count of positive product ratings (rating=5) for the last 90 days
33	price_disadvantage	double	[Assortment] disadvantage_item_cnt /(disadvantage_item_cnt + advantage_item_cnt + equal_item_cnt)
34	price_advantage price advantage	double	[Assortment] advantage_item_cnt /(disadvantage_item_cnt + advantage_item_cnt + equal_item_cnt)
35	price_equal	double	[Assortment] equal_item_cnt /(disadvantage_item_cnt + advantage_item_cnt + equal_item_cnt)
36	lzd_matched_item_cnt	bigint	[Assortment] LZD COF Matched Items [LZD COF Matched Items]
37	cof_exclusive_cnt	bigint	[Assortment] COF exclusive item count
38	lzd_exclusive_cnt	bigint	[Assortment] LZD exclusive item count LZD exclusive item count
39	assortment_completeness_rate assortment completeness rate	double	[Assortment] (A+B)/(A+B+C) A-lzd exclusive, B-matched; C-coffee exclusive. AC-Assortment completeness;
40	free_shipping_orders_30d	bigint	[Marketing] the total number of orders Free Shipping Tool has guided for 30d The total number of orders the Free Shipping Tool has guided for 30 days
41	ord_cnt_30d order_count_30d	bigint	[Marketing] L30d order count 30-day order count
42	free_shipping_orders_rate_30d	double	[Marketing] free_shipping_orders_30d/ord_cnt_30d [Marketing] free_shipping_orders_30d/order_count_30d
43	voucher_collected_cnt_30d voucher_collected_count_30d	bigint	[Marketing] L30d voucher collected count L30d voucher collected count
44	voucher_redeemed_cnt_30d voucher_redeemed_count_30d	bigint	[Marketing] L30d voucher redeemed count
45	voucher_used_cnt_30d	bigint	[Marketing] L30d voucher used count L30d voucher used count
46	key_attr_rate	double	[Content] key attribution rate
47	followers	bigint	[Content] Total follwers count as of bizdate Total followers count as of business date
48	content_score8	bigint	[Content] count distinct of visible products where Content Score > 0.8 Count distinct of visible products where Content Score > 0.8
49	byr_cancellation_rate	double	[Service] L90d cancellation rate for buyer cancel L90d cancellation rate for buyer cancel
50	return_rate	double	[Service] return_rate
51	im_resp_rate_7d	double	[Service] 667 im response rate in last 7 days [Service] 667 in response rate in the last 7 days
52	10m_resp_rate_30d 10m_response_rate_30d
53	ncp_point	bigint	[Service] non compliance points [Service] non-compliance points
54	seller_rating	double	[Service] Seller rating(latest)
55	pnr_rate_30d	double	[Fulfillment] Package Not Ready (Percentage) - last 30 days
56	sot_n1_rate	double	[Fulfillment] ship on time n+1 %
57	sot_rate	double	[Fulfillment] shipped on time %
58	seller_cancellation_rate	double	[Fulfillment] L90d cancellation rate for seller cancel
59	ads_account_bal	double	seller advertising account balance
60	overall_cap_score	bigint	overall capability score
61	assortment_cap_score	bigint	assortment capability score
62	marketing_cap_score	bigint	marketing capability score
63	content_cap_score	bigint	content capability score
64	traffic_acquisition_cap_score traffic acquisition cap score	bigint	traffic acquisition capability score
65	traffic_conversion_cap_score	bigint	traffic conversion capability score
66	transaction_cap_score	bigint	transaction capability score
67	fulfillment_cap_score	bigint	fulfillment capability score
68	service_cap_score	bigint	service capability score
69	cooperation_score	bigint	seller cooperation socre seller cooperation score
70	s_ipv_order_rate_30d	bigint	Score [Traffic Conversion] L30D IPV CR (Order/IPV)
71	s_uv_buyer_rate_30d	bigint	Score [Traffic Conversion] L30D Buyer CR(Buyer/UV)
72	s_pv_uv_30d	bigint	Score [Traffic Acquisition] L30d store uv
73	s_pay_uv_rate_30d	bigint	Score [Traffic Acquisition] L30d pay uv / store uv
74	s_per_pay_uv_cost_30d	double	Score [Traffic Acquisition] L30d per pay uv cost
75	s_ads_spend_usd_30d	bigint	Score [Traffic Acquisition] L30d spend(ss+sp+sa)
76	s_gmv_usd_30d	bigint	Score [Transaction] Internal use only. Last 30 day GMV in USD.
77	s_byr_cnt_30d	bigint	Score [Transaction] Internal use only. Last 30 day buyer count
78	s_arpu_usd_30d	bigint	Score [Transaction] average revenue per user (gmv_usd_30d/byr_cnt_30d)
79	s_ord_buyer_rate_30d	bigint	Score [Transaction] L30d orders / buyers
80	s_ord_buyer_rate_90d	double	Score [Transaction] L90d orders / buyers
81	s_selling_itm_cnt_30d	bigint	Score [Assortment] L30d Internal use only. Last 30 day selling item count
82	s_onsite_itm_cnt_1d	bigint	Score [Assortment] L30d 1 day onsite item count for this seller.
83	s_selling_itm_rate_30d	bigint	Score [Assortment] L30d selling_itm_cnt_30d/onsite_itm_cnt_30d Score [Assortment] L30d selling_item_count_30d/onsite_item_count_30d
84	s_prd_rvw_pos_cnt_90d	bigint	Score [Assortment] L30d Count of positive product ratings(rating=5) for last 90 days Score [Assortment] L30d Count of positive product ratings (rating=5) for last 90 days
85	s_price_advantage	bigint	Score [Assortment] advantage_item_cnt /(disadvantage_item_cnt + advantage_item_cnt + equal_item_cnt)
86	s_price_equal	bigint	Score [Assortment] equal_item_cnt /(disadvantage_item_cnt + advantage_item_cnt + equal_item_cnt)
87	s_assortment_completeness_rate	bigint	Score [Assortment] (A+B)/(A+B+C) A-lzd exclusive, B-matched; C-coffee exclusive. AC-Assortment completeness;
88	s_free_shipping_orders_rate_30d	bigint	Score [Marketing] free_shipping_orders_30d/ord_cnt_30d
89	s_voucher_collected_cnt_30d	bigint	Score [Marketing] L30d voucher collected count
90	s_key_attr_rate	bigint	Score [Content] key attribution rate
91	s_followers	bigint	Score [Content] Total follwers count as of bizdate Score [Content] Total followers count as of bizdate
92	s_content_score8	bigint	Score [Content] count distinct of visible products where Content Score > 0.8 Score [Content] count distinct of visible products where Content Score > 0.8
93	s_byr_cancellation_rate	bigint	Score [Service] L90d cancellation rate for buyer cancel
94	s_return_rate	bigint	Score [Service] return_rate
95	s_im_resp_rate_7d	bigint	Score [Service] 667 im response rate in last 7 days Score [Service] 667 in response rate in the last 7 days
96	s_ncp_point	bigint	Score [Service] non compliance points Score [Service] non-compliance points
97	s_seller_rating	bigint	Score [Service] Seller rating(latest)
98	s_pnr_rate_30d	bigint	Score [Fulfillment] Package Not Ready (Percentage) - last 30 days
99	s_sot_n1_rate	bigint	Score [Fulfillment] ship on time n+1 %
100	s_sot_rate	bigint	Score [Fulfillment] shipped on time %
101	s_seller_cancellation_rate	bigint	Score [Fulfillment] L90d cancellation rate for seller cancel
102	main_category2_id	bigint	main category2 id
103	main_category2_name	string	main category2 name
104	cate_level category_level

Table2：DA-商家处罚分 Table 2: DA-Merchant Penalty Points

需求：确定从哪里取数据，触发分不达标则无法参与评级
Requirement: Determine where to obtain data; if the trigger fails to meet standards, participation in the rating is not possible

商家是否健康

（不健康直接0层级，不参与评级）：

Is the business healthy (unhealthy is rated as 0 level, not participating in the rating)?

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商家处罚分是SGS的前置依赖，对应SGS-Service Capacity-NCP(no compliance point)。

当

NCP≥48分时，商家不参加层级考核。

Merchant penalty points are a prerequisite for SGS, corresponding to SGS-Service Capacity-NCP (no compliance point). When NCP ≥ 48 points, the merchant does not participate in the tier assessment.

○

商家处罚分（Compliance Score），0-48分，覆盖履约、Listing、逆向等指标，48分将下架店铺所有商品，分数应用在ASC-Data Insight-Account Health：
Merchant penalty points (Compliance Score), 0-48 points, covering performance, listing, reverse, and other indicators. A score of 48 will remove all products from the store. The score is applied in ASC-Data Insight-Account Health:

ACCOUNT HEAITN

LAZADA

SELLER CENTER

EXCELLENT

PRODUCTS

YOUR STORE IS DOING WELL. REVIEW VIOLATIONS (IF ANY) AND CONTINUE TO KEEP UP WITH THE GOOD WORK!

ORDERS

MY STORE PERFORMANCE

COMPLIANCE NOTIFICATION

PLEASE BE REMINDED TO COMPLY WITH THE STORE NAMING PALICY. STON
PLEASE BE REMINDED TO COMPLY WITH THE STORE NAMING POLICY. STON

Y.STORE NAMES THAT ARE FOUND TO HAVE INFRINGED A REGISTERED

0 POINT(S)

FULFILMENT VIOLATIONS

TRADEMARK WILL BE HAVE THEIR STORE NAME RESET TO THE DEFAULT SETTING.
TRADEMARK WILL HAVE THEIR STORE NAME RESET TO THE DEFAULT SETTING.

NEWI RESTRICTED BRANDS POLICY NOW APPLICABLE IN SINGAPORE,MALAYSIE, PHILIPPINES,THALLAND VIETNAM!

POINT(S)

LISTING VIOLATIONS

ORDER VOLUME LIMIT ALERT! PLEASE IMPROVE YOUR PERFORRNANCE FOR YOUR OPERATIONAL METRICS SUCH AS
ORDER VOLUME LIMIT ALERT! PLEASE IMPROVE YOUR PERFORMANCE FOR YOUR OPERATIONAL METRICS SUCH AS

O POINT(S) THE POINT(S)

SERVICE STANDARDS

CANCELLATION RATE AND SHIP ON TIME IN ORDER TO HAVE THLS LIMITATION REMOVED.
CANCELLATION RATE AND SHIP ON TIME IN ORDER TO HAVE THIS LIMITATION REMOVED.

POINT(S)

SHOP PRIVILEGE

OTHERS

POINT(S)

ENGAGEMENT CENTER*

STORE

WHEN YOU REACH 48 POINTS:

YOU WILL LOSE ALL SELLING PRIVILEGES.YOUR
YOU WILL LOSE ALL SELLING PRIVILEGES. YOUR

SUPPORT

STORE WLLL BE DEACTIVATED.

CLICK HERE FOR PALICY VIOLATION RECORDS
CLICK HERE FOR POLICY VIOLATION RECORDS

MY ACCOUNT

METRICS

FULFILMENT VIOLATIONS

NO.OF VIOLATIONS NUMBER OF VIOLATIONS

PENALTY

ACTION

MY SHOP

CANCELLATION RATE

$1%

VLEW DETALLS

PACKAGE NOT READY

VIEW DETALLS VIEW DETAILS

S1%

ENGLISH

Table3：Tec-商家评定与预测层级 Table 3: Tec - Merchant Evaluation and Prediction Hierarchy

需求：①新增商家评分各子指标权重维表；②评分结果数据表
Requirements: ① Add a weight matrix for each sub-indicator of merchant ratings; ② Rating result data table

根据小二端功能配置，

技术后端实时回传商家基础信息，指标，指标权重，单个指标得分，总得分，商家上个月评定层级，商家当月评定层级

According to the configuration of the Xiaodian terminal functions, the technical backend will real-time feedback the merchant's basic information, indicators, indicator weights, individual indicator scores, total scores, the merchant's evaluation level for the previous month, and the merchant's evaluation level for the current month

5.4 商家端： 5.4 Merchant Side:

Seller Growth Center Page

：商家层级与建议

Seller Growth Center Page: Merchant Levels and Recommendations

首页 Home Page

商家身份卡片 Merchant Identity Card

权益与任务 Rights and Responsibilities

ⅰ

任务与激励权益 Tasks and Incentive Rights

ⅱ

任务与星级权益 Tasks and Star-Level Benefits

建议模块 Suggestion Module

ⅰ

与商家层级咬合 Alignment with the merchant level

5.4.1

Seller Growth Center Page

：商家层级（评定+预测）与建议

5.4.1 Seller Growth Center Page: Merchant Level (Assessment + Forecast) and Recommendations

Demo	说明 Explanation
通知区块 Notification Block Notification	●允许平台发布通知或者分层更新文档的说明 Allow the platform to publish notifications or explanations for layered update documents
评定层级 Evaluation Level STARRATINGSAREUPDATEDONTHE5THOFEVERYMONTH,WITHDATACLLECTEDUPUNTILTHELASTDAYOFTHEPREVIOUSMONTH Star ratings are updated on the 5th of every month, with data collected up until the last day of the previous month VVV2STARS CURRENTRATINGE	●过去1个自然月的评定星级与文案 The rating stars and copy from the past month ●说明文案 Explanatory text
权益模块 Rights Module	●SVC Credits奖金池 SVC Credits Bonus Pool ● ○测算 Calculation ■Level1（无权益） Level 1 (No Rights) ■Level2（无权益） Level 2 (No Rights) ■Level3（同层Topx？商家发放x权益） Level 3 (Same level Top x? Merchant issues x benefits) ■Level4（同层Topx？商家发放x权益） Level 4 (Same layer Top x? Merchant issues x rights) ■Level5（同层Topx？商家发放x权益） Level 5 (Same level Top x? Merchants distribute x benefits)
预测层级 Prediction hierarchy FORECASTEDRATING FORECASTED RATING UPDATEONSEPTEMBER6,2024 UPDATE ON SEPTEMBER 6, 2024 2STARS	●取下设4力短板展示 Remove the display of the 4-force short board ●Main Category ●说明文案：何时更新 Description: When to update
四力-交易力 Four Forces - Trading Power	●交易力 Trading power ○层级：5 Level: 5 ○层级阈值： Hierarchical threshold: ■阈值：美金 Threshold: US Dollar ○商家当前进展轴与该项指标Value Current progress axis of the merchant and the value of this indicator ○该项子指标层级 Sub-indicator level ○ ○How to improve ■点击跳转同一文档，介绍如何提升交易力 Click to jump to the same document, introducing how to enhance trading power
四力-服务力 Four Forces - Service Capability	●交易力 Trading power ○每个子指标（10分钟及时回复率\|退货率\|买家好评率） Each sub-indicator (10-minute timely response rate \| return rate \| buyer satisfaction rate) ■10分钟及时回复率（去除AI回复） 10-minute timely response rate (excluding AI responses) ■退回率（逆向排序） Return Rate (Reverse Order) ■买家好评率（%分数展示） Buyer positive review rate (% score display) ●层级：5 Level: 5 ●层级阈值： Hierarchical threshold: ●商家当前进展轴与该项指标Value Current progress axis of the merchant and the value of this indicator ●该项子指标层级 Sub-indicator level ●How to improve ○点击跳转同一文档，介绍如何提升交易力 Click to jump to the same document, introducing how to enhance trading power
四力-营销力 Four Forces - Marketing Power GNUMBEROFUNIQUEVISITORSIN3ODAYS? NUMBER OF UNIQUE VISITORS IN 30 DAYS? HOWTOIMPROVE HOW TO IMPROVE RMARKETINGN O0VISITORS 1000 100 300 LOWEST 500 1500	●营销力层级： Marketing Power Levels: ○后端：取短板层级，则取1 Backend: Take the lowest level, then take 1 ■动销新品2 New Products for Active Sales 2 ■PHP品1 PHP Product 1 ○前端：商品力字样+商品力Logo+钻石标1 Front end: Product strength text + Product strength logo + Diamond mark 1
四力-商品力 Four Forces - Product Power NEWEFIECTIVEPRODUCTS PRODUCTNUMBEROF 1OPRODUCTS HOWTOIMPROVE HOW TO IMPROVE 100 150 30	●商品力层级： Product Power Hierarchy: ○后端：取短板层级，则取1 Backend: Take the lowest level, then take 1 ■动销新品2 New Products for Active Sales 2 ■PHP品1 PHP Product 1 ○前端：商品力字样+商品力Logo+钻石标1 Front end: Product strength text + Product strength logo + Diamond mark 1 ●动销新品层级 Sales-Driven New Products Hierarchy ○层级：5 Level: 5 ○层级阈值 Hierarchical threshold ○商家当前进展轴与该项指标Value Current progress axis of the merchant and the value of this indicator ○该项子指标层级 Sub-indicator level ○不显示钻石标 Do not display diamond mark ○How to improve ■点击跳转同一文档，介绍如何提升商品力 Click to jump to the same document, introducing how to enhance product strength ●PHP品*层级 PHP Product Level ○层级：5 Level: 5 ○层级阈值 Hierarchical threshold ○商家当前进展轴与该项指标Value Current progress axis of the merchant and the value of this indicator ○该项子指标层级 Sub-indicator level ○不显示钻石标 Do not display diamond mark ○How to improve ■点击跳转同一文档，介绍如何提升商品力 Click to jump to the same document, introducing how to enhance product strength

5.4.2

Seller Growth Center Page-

限时优享任务模块—（原：Offering Package展示）

5.4.2 Seller Growth Center Page - Limited Time Exclusive Task Module - (Original: Offering Package Display)

Demo	说明 Explanation
	模块位置：在商家层级下方 Module Location: Below the Merchant Level

需求1：

梳理Offering package-每一个包的圈选人群，实际触达人群、每一个小二设置任务，每一个任务的完成率，每一个包的权益，每一个包的权益领取率

Requirement 1: Organize the Offering package - the target audience for each package, the actual reach of the audience, the tasks set by each assistant, the completion rate of each task, the benefits of each package, and the benefit redemption rate for each package

	新手任务（Liveday=0-90） Beginner Tasks (Liveday=0-90)	成长任务（Liveday=91-180） Growth Task (Liveday=91-180)	成长任务（Liveday=181-365） Growth Task (Liveday=181-365)	成长任务（Liveday=>365）
	线上Offering Package Online Offering Package 系统从5个里选1个展示 The system selects 1 out of 5 to display	线上对应Offering Package Online Corresponding Offering Package 展示逻辑？ Display logic?	线上对应Offering Package Online Corresponding Offering Package 展示逻辑？ Display logic?	线上对应Offering Package 展示逻辑？
圈客逻辑 Circle Customer Logic	全量新签商家 All newly signed merchants
激励发放 Incentive Distribution	90天内完成所有任务 Complete all tasks within 90 days	完成至少一个任务起 Complete at least one task
激励目标 Motivational Goals	发放权益 Distribution of rights ●FSM ●LPI ●LSS VOUCHER ●?
-调控方式	商家力度发放权益	商家力度按照商品优先级分层
-退出机制	做完所有任务	做完所有任务
权益生效周期	1个月（仅一次）
-权益启动时间

需求2：

将Offering Package的任务|权益与商家分层的任务|权益进行合并，扩充权益丰富度

需求3：任务模型：

任务模型：（任务系数x国家系数x营收系数x目标目标算法预测系数）

目标逻辑：GMV倒推要给多少曝光（广告券）、转化（FSM等）

经营阶段维度

国家维度

Lazada商家任务

圈客流程

新手期商家

圈定商家命中的任务范围

by商家确定任务显隐&排序&阈值

经营期商家

长尾商家

任务不同，目标不同

任务阈值判定

商家基基础属性

主营类目

BU/层级

确定任务模型

确认商家最终

任务排序&阈值

其他属性...

by商家确认

差异化任务

满级：保持阈值

未满级：计算阈值

特殊：无层级场景

6*3共计18套模型

其他地区

5.4.3 首页：任务+建议+激励 5.4.3 Home: Tasks + Suggestions + Incentives

国别化设计：国家不同任务权重，以及阈值设计。让不同国家可通过不同类型任务，获得同等激励。
Country-specific design: Different task weights for each country, as well as threshold design. This allows different countries to receive equal incentives through different types of tasks.

任务拆分 basic+ bonus ：通过基础basic任务低阈值，让更多商家可参与，后续额外出bonus 任务，让优质商家可贡献更多，来满足同区域下能力不同商家的拓展性。
Task breakdown basic + bonus: By setting a low threshold for the basic tasks, more merchants can participate. Subsequently, additional bonus tasks will allow high-quality merchants to contribute more, in order to meet the expansion needs of merchants with varying capabilities in the same region.

场景&权益丰富：支持业务配置，以及行业任务需求。权益有优惠券&场馆&SVC Credits
Scene & Rights Rich: Supports business configuration and industry task requirements. Rights include coupons, venues, and SVC Credits.

任务行动点：任务明确指向升星，实现任务&商家层级&AI all in one。
Action Points: The task clearly aims for star elevation, achieving task, merchant level, and AI all in one.

5.4.3.1 任务体系 5.4.3.1 Task System

					任务集9出X个 Task set 9 outputs X
	对应商家层级指标 Corresponding merchant level indicators	任务明细 Task Details	任务优先级 Task Priority	任务目标（阈值） Task Objective (Threshold)	新手任务 Beginner Task	成长任务
目标人群 Target audience					全量新签商家Liveeday0-90 Total new signed merchants Liveeday0-90	部分经营中商家91-180 181-365 >365
任务周期 Task cycle
任务体系 Task System			【算法】根据客户升至下一层级的卡点进行任务优先级排序，如商家本阶段只差GMV未达标，则按照GMV模型动态分发任务：1.1和1.2以及4.1的任务排序优先 The algorithm prioritizes tasks based on the customer's progression to the next level. For example, if the merchant is only short of meeting the GMV target at this stage, tasks are dynamically distributed according to the GMV model: prioritize tasks 1.1, 1.2, and 4.1.
-1. 商品力 -1. Product Power	动销新品数 Number of new products sold	1.1 发新品 1.1 Launching New Products		距离下一个商品力层级阈值的差距 The gap to the next product power level threshold	固定值 Fixed value	固定值/动态化
	PHP品数 PHP product quantity	1.2 优化商品 1.2 Optimize Products		距离下一个商品力层级阈值的差距 The gap to the next product power level threshold
		1.3 参加FSM活动 1.3 Participation in FSM Activities		业务规则 Business Rules
-2. 服务力 -2. Service Capability	10分钟内及时回复率 Response rate within 10 minutes	2.1 及时回复 2.1 Timely Response		距离下一个服务力星级商家的差距 The gap to the next service star-rated merchant	/	动态化
	买家好评率 Buyer positive feedback rate	2.2 邀请买家评论 2.2 Invite Buyer Reviews		距离下一个服务力星级商家的差距 The gap to the next service star-rated merchant		动态化
	退货率 Return rate	2.3		距离下一个服务力星级商家的差距 The gap to the next service star-rated merchant
-3. 营销力 -3. Marketing Power	月去重流量 Monthly unique traffic	3.1 充值 3.1 Recharge		/		/
		3.2 充值则开启营销计划 3.2 Recharge to activate the marketing plan		业务规则 Business Rules
-4. 交易力 -4. Trading Power	30天GMV 30-day GMV	4.1 尽快发货 4.1 Ship as soon as possible			/	固定值

5.4.3.2 首页成长+任务 5.4.3.2 Home Growth + Tasks

模块 Module	Demo	说明 Explanation
RANKO:TOP1%(DROPVS.YESTERDAY) RANKO: TOP 1% (DROP VS. YESTERDAY) MAINCATEGORYP:MOBILES&TABLETS MAIN CATEGORY: MOBILES & TABLETS OFFICIAL-AAAAA REVENUETHB1931 THB1069MORETOLEVELUP> BOOSTTRAFFIC&SALES> BOOST TRAFFIC & SALES > LEVEL EVEL2	YOURFORECASTSTARRATINGSISLOWERTHANYOURCURRENT YOUR FORECAST STAR RATINGS IS LOWER THAN YOUR CURRENT STARRATINGS.LTWILLREDUCEYOURSEARCHRANKINGAND MOREBENEFITS.SUGGESTIONS MORE BENEFITS. SUGGESTIONS YOURFORECASTSTARRATINGS YOUR FORECAST STAR RATINGS IEWDETAILS 1STAR	首页小卡片： Home small card: ●Logo ●店铺名称 Store Name ●主营类目 Main Category ●同层商家，按照SDS总分进行排名，展示 Merchants on the same level are ranked and displayed according to the total SDS score ●新增预测层级 New Forecasting Level ●点击view details跳转至Seller Growth Page页面 Click "view details" to jump to the Seller Growth Page ●当预测星等级<评定星等级时（不考虑异常情况），展示提示文案，其余情况不展示 When the predicted star rating is less than the assessed star rating (excluding exceptional cases), display the prompt text; otherwise, do not display it ●Your forecasted Star Rating is lower than your current score. Benefits may be affected. ●点击Suggestion，跳转至商家等级页面 Click on Suggestion to jump to the merchant level page
OUHAVE2METRICSTOOPTIMIZE.COMPLETETHEFOLLOWINGTASKSTOHELPYOURBUSINESS REVENUE@THB1931BOOSTTRAFFIC&SALES RANK@:TOP1%(DROPVS.YESTERDAY) MAINCATEGORYO:MOBILES&TABLETS THB1,069MORETOLEVELUP MAINTAINCHATRESPONSERATE CHATRESPONSERATE PENDINGRETURN/REFUND> MAINTAINSHIPONTIMERAT TOBEREVIEWED> MARKETINGCENTE SELLERCENTE OFTICLIALAAAAA GROWTHCENTER SHIPONTIMERATE ~ASSORTMENTGROWTH PENDINGHANDOVER> ENDINGORDERS NPAIDORDERS PONSOREDSOLUTIONS DATAINSIGHT PRODUCTS AZFLASHNEW ROMOTIONSNEY LEVEL1一 QLAZADAUNIVERSITY BUSINESSADVISO MYORDER ACCOUNTHEALT LAZADC TASK(02 CAMPAIGN MORE> 01/09/2024 三ORDERS SHOPPRIVILEGE AZCOINSDISCOUNT MORE> 0% 的NL学EANW2 0% MAINTA 一LEVEL2 21 20 LEARNANDGROW AZLIVE		改造首页成长模块： Revamp the homepage growth module: 成长与offering package结合。 Growth combined with the offering package. 1、重要说明 1. Important Note ●后端需要区分成长任务和Offering Package，但是在前端统一展示为成长任务。 The backend needs to distinguish between growth tasks and Offering Packages, but they are uniformly displayed as growth tasks on the frontend. 2、圈客规则调整 2. Adjustment of Circle Customer Rules ●层级圈客 Hierarchical Circle Customer ○首页任务覆盖所有层级商家 The homepage tasks cover all levels of merchants ○Level5商家也出任务 Level 5 merchants also issue tasks ■无任务则显示：恭喜你已经超越xx同行，进阶高质量商家，引导跳转至Barter权益页进行对赌。 If there are no tasks, it will display: Congratulations, you have surpassed xx peers and advanced to high-quality merchants. Please proceed to the Barter rights page for a wager. 3、交互说明 3. Interaction Instructions ●任务权益 Task Rights SELLERLEVELRATINGREWARDS SELLER LEVEL RATING REWARDS OFFERINGPACKINGREARDS OFFERING PACKING REWARDS YOUCANRECEIVEXKINDSOFREARDS SELLERLEVELRATINGREWARDS... ECRITERIAFULLFILLED CRITERIANOTMET SEEDETAILS CLAIMNOW ○权益激励大礼包图标 Incentive Benefits Package Icon ■未完成，图标为灰色 Incomplete, the icon is gray ■完成，图标为x色 Completed, the icon is x color ■大礼包里展示所有Offering Package里的权益 The big gift package showcases all the benefits in the Offering Package ■Hover 横排展示所有权益 Hover displays all rights in a horizontal row ○商家层级权益图标 Merchant Tier Benefits Icon ■当预测星级高于评定星等级时，图标展示x色，其他情况下为灰色 When the predicted star rating is higher than the assessed star rating, the icon displays in color x; otherwise, it is gray ●任务内容 Task content ANDHELPYOUGAINMOREIMPRESSIONSINYOURMARKET.BESIDES,THEPLATFORMWILLALSOREWARDYOUEXTRA4TRAFIC AND HELP YOU GAIN MORE IMPRESSIONS IN YOUR MARKET. BESIDES, THE PLATFORM WILL ALSO REWARD YOU EXTRA TRAFFIC. OOSTCOIN.ANDMOREPRODUCTWILHELPYOUIMPROVEYOURPRODUCTCAPABILITYASSESSMENT. 77HRS/7HRS-OTHISMONTH'SAVERAGERESPONSETIMEISLESSTHAN7HOURS 77HRS/7HRS-THIS MONTH'S AVERAGE RESPONSE TIME IS LESS THAN 7 HOURS 7/15-LIST15NEWPRODUCTS.(P1S>4.2) THISENTH-THE-FESPENSETIEFEF0INUFIEWASESTHA10HEU. THIS IS THE FIRST TIME I HAVE SEEN THE SUN. 45/$50-THEADSPENDHASREACHED$50 45/$50 - THE AD SPEND HAS REACHED $50 0/20-POST20HOME&GARDENPRODUCTS TASKSCUPDATETIME:17TH,JULYDEADLINE:3OTH,JULY(EST) PRODUCTRATING SERVICERATING X2 ●任务更新时间：展示任务数据更新时间，精确到天 Task update time: Displays the update time of task data, accurate to the day ●任务倒计时：展示任务结束时间，精确到天 Task countdown: Display the task end time, accurate to the day ●展开/收起说明 Expand/Collapse Explanation ○只有1个任务展开，当选中某个任务时，展开改任务，并收起其他所有任务 Only one task is expanded. When a certain task is selected, that task expands, and all other tasks are collapsed ○默认展开第1条任务 Default expand the first task ●任务元素 Task elements ○进度图标：基于分子/分母展示（回复时长任务是true/fase逻辑），达到后打钩 Progress icon: Displayed based on numerator/denominator (response duration task is true/false logic), checkmark when achieved ○进度数字 Progress number ○标题：支持{阈值} Title: Support {Threshold} ○内容 Content ○商家层级标签（展示在内容末尾，换行） Merchant Level Tag (displayed at the end of the content, line break) OSTCOIN.ANDMOREPRODUCTWILHELPYOUILMPROVEYOURPRODU NDHELPYOUGAINMOREIMPRESSIONSINYOURMARKET.BESIDES,THEPLATFORMWILALSOREWARDYOUEXTRA4TRAFFIC 7/15-LIST15NEWPRODUCTS.(PIS>4.2) 7/15-LIST15NEWPRODUCTS.(PIS>4.2) POSTPRODUCTS PRODUCTRATING SERVICERATING X5 ■Product Rating ■Marketing Rating ■Service Rating ■Sales Radting Sales Rating ○CTA：基于任务配置展示按钮。 CTA: Display button based on task configuration. 4、必出任务和选出任务的规则 4. Rules for Mandatory Tasks and Selected Tasks ●任务分为必出任务和选出任务，定义如下（有调整） The tasks are divided into mandatory tasks and optional tasks, defined as follows (with adjustments) ○必出：满足圈客条件，必定出现的任务 Must appear: Tasks that will definitely occur if the conditions for attracting customers are met ○选出：完成必出任务后，动态出现的任务 Select: Tasks that dynamically appear after completing mandatory tasks ●在每个月by商家创建任务时，后端返回全部任务 When merchants create tasks every month, the backend returns all tasks ●前端在月初仅展示必出任务，默认隐藏选出任务。当必出任务完成后，展示选出任务 At the beginning of the month, the front end only displays mandatory tasks and hides optional tasks by default. Once the mandatory tasks are completed, the optional tasks are displayed.

6.成长有效性检测： 6. Effectiveness of Growth Detection:

产品有效性是通过AB测试，监测成长指引新老版本对于商家成长是否有显著差异，从而确定产品有效；
The effectiveness of the product is determined through A/B testing, monitoring whether there are significant differences in growth guidance between the new and old versions for merchants, thereby establishing the product's effectiveness

任务有效性（指数）是监测成长指引任务设置对商家价值的体现。即商家运营操作中，哪些对成长和经营是由明确影响进行量化；
Task effectiveness (index) is a reflection of how the growth guidance task settings impact merchant value. Specifically, it quantifies which aspects of merchant operations have a clear influence on growth and management.

①新版本上线后，新老版本对比效果核心监控指标，核心监控4大维度：1）商家基建类，2）商家效果类，3）交易履约类，4）LTV;通过4大维度下的指标，对比新老版本的差异；（数科可根据业务调整，对监控指标进行替换）
After the new version is launched, the core monitoring indicators for comparing the new and old versions focus on four main dimensions: 1) Merchant infrastructure, 2) Merchant performance, 3) Transaction fulfillment, 4) LTV. By using the indicators under these four dimensions, the differences between the new and old versions can be compared. (The data science team can adjust and replace monitoring indicators based on business needs.)

实验开启

：新版本上线商家随机分配，确保ab测试样本随机准确性；

Experiment launched: New version online, merchants randomly assigned to ensure the random accuracy of the A/B testing sample;

实验结束：

实验有明确结论，在业务需求下即可关闭实验，并根据实验结论调整产品投放；

Experiment concluded: The experiment has clear conclusions, and it can be closed based on business needs, with product deployment adjusted according to the experiment's conclusions

GMV影响因子算法需求 GMV impact factor algorithm requirements

3个任务为一组随机组合,进行分桶测试 Three tasks are randomly combined into a group for bucket testing

产品:动销新品 Product: New Active Sales Item

分桶1:影响系数X1 Bucket 1: Influence Coefficient X1

分桶2:影响系数X2 Bucket 2: Influence Coefficient X2

分桶3:影响系数X3 Bucket 3: Influence Coefficient X3

分桶N:影响系数X Bucket N: Influence Coefficient X

分桶5:影响系数X5 Bucket 5: Influence Coefficient X5

分桶4:影响系数X4 Bucket 4: Influence Coefficient X4

任务3 Task 3

任务1 Task 1

任务2 Task 2