推荐卡是商城推荐流量的核心载体，系统根据商品信息和用户兴趣智能生成，在“猜你喜欢”等位置主动推送。它属于免费自然流量，不依赖直播和短视频。

Recommendation cards are the core carrier of recommended traffic in the mall. The system intelligently generates based on product information and user interests, and actively pushes them in positions such as "Guess You Like". It belongs to free natural traffic and does not rely on live streaming or short videos.

1入池：推荐流量的第一道门槛商品能否被推荐，取决于是否“入池”——进入平台的免费推荐流量池。

1. Entry into the pool: The first threshold for recommended traffic, whether a product can be recommended, depends on whether it "enters the pool" - entering the platform's free recommended traffic pool.

入池之后，商品才有机会出现在商城首页、猜你喜欢、购后推荐等位置。入池需要满足以下硬性条件：店铺体验分达标：店铺正常经营且体验分需达到标准，这是基础门槛。分数越高，入池概率越大。

After entering the pool, the product will have the opportunity to appear on the homepage of the mall, guess what you like, and make recommendations after purchase. To enter the pool, the following mandatory conditions must be met: store experience score meets the standard: the store is operating normally and the experience score must meet the standard, which is the basic threshold. The higher the score, the greater the probability of entering the pool.

商品信息完整度达标：标题填写完整且核心卖点前置；属性全部勾选；主图不少于5张并附带视频；详情页图文清晰。有动销商品入池还需商品信息质量达到标准。

The completeness of product information meets the standard: the title is filled in completely and the core selling points are placed in front; Select all attributes; At least 5 main images with accompanying videos; The details page has clear graphics and text. The entry of dynamic sales products into the pool requires that the quality of product information meets the standards.

基础销量与评价达标：新品先通过引流款或小幅让利完成破零。有动销商品入池要求：历史销量大于0、好评率≥80%且差评率≤5%。不重复铺货：同款商品重复上架会被降权。

Basic sales and evaluation standards: New products will first break through zero by attracting customers or offering small discounts. There are requirements for dynamic sales products to enter the pool: historical sales volume greater than 0, positive review rate ≥ 80%, and negative review rate ≤ 5%. Do not duplicate listings: Repeating listings of the same product will result in a downgrade of rights.

无违规记录：店铺及关联店铺近30天无虚假宣传、售假、滥发等处罚。违规商品直接降权或下架。判断是否入池：抖店后台→电商罗盘→商城推荐分析→“有曝光的商品”即为已入池。未入池商品，系统会显示原因，可进入“未入池待优化商品”板块逐项优化。

No violation record: The store and its affiliated stores have not been punished for false advertising, selling counterfeit goods, or spamming in the past 30 days. Unauthorized products will be directly downgraded or taken down. Determine whether to join the pool: Douyin store backend → E-commerce compass → Mall recommendation analysis → "Exposed products" are considered to have entered the pool. For products that have not been added to the pool, the system will display the reason. You can enter the "Products that have not been added to the pool for optimization" section to optimize them item by item.

2入池后：靠主图和标题“接”流量入池只是第一步。用户看到你的推荐卡后，点不点击，取决于主图和标题。

After entering the pool, relying on the main image and title to "attract" traffic into the pool is only the first step. After the user sees your recommendation card, whether to click or not depends on the main image and title.

入池解决“被看到”，主图和标题解决“被点击”。主图优化四要素：有卖点：清晰展示产品核心优势，让用户一眼知道“这东西好在哪”。有促销：传递优惠信息，如“限时折扣”“赠品”“券后价”。有背书：打消用户疑虑，如“已售10万+”“品质认证”。

Resolve 'being seen' when entering the pool, and resolve 'being clicked' on the main image and title. The four elements of main image optimization: selling points: clearly displaying the core advantages of the product, allowing users to know at a glance "where this thing is good". There are promotions: conveying promotional information, such as "limited time discounts," "gifts," and "coupon prices. Endorsements: dispel user doubts, such as "sold over 100000" and "quality certification".

有场景：展示使用场景，让用户产生“我也需要”的代入感。价格竞争力强、服务好（好评率高、有运费险、包邮等）、商品素材优良的商品，有机会获得更多曝光。抖音电商罗盘支持商品卡数据诊断，商家可查看各商品的具体数据指标和可优化问题。标题优化要点：标题建议包含三类关键词：核心词（品类大词）、属性词（材质功能风格）、场景人群词（使用场景或目标人群）。核心卖点前置，因为前端搜索页展示空间有限。可通过“电商罗盘→搜索→热词榜单”提取高搜索、低竞争的热词植入标题。标题建议填写完整，让系统能准确识别商品标签。

Scenario: Display usage scenarios to create a sense of immersion for users that 'I also need'. Products with strong price competitiveness, good service (high praise rate, shipping insurance, free shipping, etc.), and high-quality product materials have the opportunity to gain more exposure. Tiktok e-commerce compass supports product card data diagnosis, and merchants can view specific data indicators and optimization problems of each product. Title optimization key points: The title must contain three types of keywords: core words (category keywords), attribute words (material function style), and scenario audience words (usage scenario or target audience). Pre positioning of core selling points due to limited display space on the front-end search page. You can extract high search, low competition hot words and embed them in the title through "E-commerce Compass → Search → Hot Word Ranking". It is recommended to fill in the title completely to enable the system to accurately identify the product label.

3数据监控：用罗盘驱动精细化运营精细化运营的核心，是用数据指导优化。推荐卡的主要监控工具是抖音电商罗盘。核心关注三个数据：商品卡曝光人数：有多少人看到了你的推荐卡。曝光低，说明入池商品少或入池位置靠后。点击率（CTR）：看到的人有多少点了进来。点击率低，优先优化主图。可在电商罗盘中查看商品卡点击率是否低于同行平均水平。

3. Data monitoring: The core of precision operation driven by compass is to use data to guide optimization. The main monitoring tool of the recommendation card is the Tiktok e-commerce compass. Focus on three key data points: product card exposure number: how many people have seen your recommendation card. Low exposure indicates that there are few products entering the pool or the entry position is located at the back. Click through rate (CTR): How many people saw clicked in. Low click through rate, prioritize optimizing the main image. You can check in the e-commerce compass whether the click through rate of product cards is lower than the average level of peers.

点击-成交转化率：点进来的人有多少下单。转化率低，检查价格、评价、详情页。推荐卡是系统主动推送给用户，流量爆发性强，但合理度依赖算法学习。初期数据波动是正常的，商家需要持续观察数据趋势，找到优化方向。诊断公式：商品卡成交金额 = 商品卡曝光人数 × 商品卡点击率 × 点击-成交转化率 × 客单价。商家可针对“核心关注”问题优先诊断分析解决。

Click to Transaction Conversion Rate: How many people click in and place orders. Low conversion rate, check prices, reviews, and detail pages. Recommendation cards are actively pushed to users by the system, with explosive traffic, but accuracy depends on algorithm learning. Initial data fluctuations are normal, and businesses need to continuously observe data trends to find optimization directions. Diagnostic formula: Transaction amount of product card=Number of exposed users of product card x Click through rate of product card x Click to transaction conversion rate x Average order value. Merchants can prioritize diagnosis, analysis, and resolution of "key focus" issues.

商品入池后的持续优化：商品入池后并非一劳永逸，仍需持续关注猜你喜欢流量的提升方向。商家可进入罗盘端的“猜你喜欢流量诊断”，查看销售、转化、服务三大维度的提升建议及预计可提升流量。结语推荐卡的核心逻辑是“系统主动推，用户被动看”。

Continuous optimization after product entry into the pool: Product entry into the pool is not a one-time solution, and it is still necessary to continue to pay attention to the direction of traffic improvement that you like. Merchants can enter the "Guess Your Likes Traffic Diagnosis" on the compass end to view improvement suggestions and expected traffic growth in the three dimensions of sales, conversion, and service. The core logic of the conclusion recommendation card is "the system actively pushes, while the user passively watches".

商家要做的是：用优良商品和规范信息通过入池门槛，用高点击主图和合理标题接住流量，用数据罗盘持续监控和优化。货架场景GMV占比持续增长，抓住推荐卡的机会，就是抓住确定性增长的路径。美迪电商教育，助你玩转推荐卡，稳稳获取商城流量。

What merchants need to do is to use high-quality products and standardized information to pass the entry threshold, capture traffic with high click main images and accurate titles, and continuously monitor and optimize with a data compass. The proportion of GMV in shelf scenarios continues to grow, and seizing the opportunity of recommendation cards is to seize the path of deterministic growth. Medi E-commerce Education helps you master recommendation cards and steadily obtain mall traffic.

本文由济南网络推广友情奉献.更多有关的知识请点击:https://www.chinanovo.net真诚的态度.为您提供为多维度的服务.更多有关的知识我们将会陆续向大家奉献.敬请期待.

This article is promoted by Jinan Network for Friendship Dedication For more information, please click: https://www.chinanovo.net Sincere attitude To provide you with comprehensive services We will gradually contribute more relevant knowledge to everyone Coming soon.