1. Experience InformationProduct name: Little Red Book Experienced by: Shelly Version number: Android 4.5.110 Hardware environment:MIUI V7.3 2. Product Description2.1 Industry AnalysisThrough a simple review, we can summarize the commodity purchase channels into three stages based on the changes in people's purchasing behavior, purchase channels, and evaluation methods: Judging from the current situation, the status of traditional transaction-based e-commerce has been somewhat challenged in the era of mobile Internet , and the e-commerce model has gradually transitioned from birds of a feather flock together to people of a feather flock together. At the same time, people's consumption behaviors have changed. With the improvement of daily living standards, people pay more attention to whether the items they buy are suitable for themselves, and screen the purchased goods based on the characteristics of the people for whom the products are suitable. At the same time, purchasing time is fragmented, and users are accustomed to shopping in their fragmented free time. They hope to be able to choose suitable products and pay for them on delivery in a short period of time. Such changes have also created a trend of verticalization and scenario-based consumption after upgrading. From a macro perspective, the current adjustment of the national tax rate policy has led to different impacts on e-commerce companies with different supply models. The supply chain has fluctuated and changed, bringing about certain scale and model adjustments to the industry. The above is the changing trend of user activity on e-commerce shopping guide platforms in recent times. It can be seen that after the tax rate adjustment in April, the user activity of e-commerce shopping guide platforms fluctuated for a certain period of time, but after the market adjusted freely to adapt to the changes, it began to return to convergence. From a micro perspective, the main influencing factors are buyers and suppliers. Buyer:
Supplier: At present, the forms of e-commerce platforms are mainly divided into the following models: C2C, B2C, BBC, M2C, etc. 2.2 Product OverviewSLOGAN: Xiaohongshu, find good things from all over the world Positioning: A cross-border e-commerce platform based on UGC+traffic model. Advantages:
2.3 Demand AnalysisThe analysis is mainly based on changes in the product itself and the external environment, collectively referred to as external demand and internal demand highlights. External demand - e-commerce industry: 1. The rise of cross-border e-commerce. In their daily shopping, people prefer to buy cost-effective, high-quality overseas products, but currently there are few channels for overseas shopping and the experience is poor.
2. The need for cognitive closure of traditional e-commerce. When making purchases on traditional transaction-based e-commerce platforms, numerous products will appear based on the user's keywords. The user must rationally consider multiple factors and jointly evaluate the products, which makes it impossible to achieve a clear goal and sometimes causes confusion. 3. Traditional e-commerce is not adaptable to the crowd-oriented, scenario-oriented, and vertical trends brought about by consumption upgrades Internal demand - products:
2.4 User portraits and usage scenariosUser Tags: Conclusion: The user group is mainly students and white-collar workers living in first-tier developed cities. Features: High commercial value. This target group has strong purchasing power and can afford higher-priced, high-quality goods. They also have a strong willingness to purchase high-end goods. Regional analysis chart: Population distribution chart: Use scenarios:
3. Product Analysis3.1 Product ArchitectureAs can be seen from the above picture, the main functions of Xiaohongshu are: Basic functional modules:
Desired features:
Excitatory function:
The core modules are : discovery and shopping. The former establishes a UGC community to divert traffic to the latter, promote users' emotional thinking, and induce purchasing behavior. The main task is: discover products of interest -> evaluate -> purchase -> review -> other users browse them, which is a closed-loop process with strong sustainability. The product’s keywords: connection, exclusivity and discovery, well embody the characteristics of content e-commerce and community e-commerce.
4 Functional WalkthroughFunction 1: Login and RegistrationYou must log in to enter the Xiaohongshu page Experience:
Improvement suggestions:
Function 2: DiscoveryMethod 1: Personalized recommendation on the homepage The home page will grab tags and make corresponding content recommendations based on the tags that the user has selected as of interest. Experience:
This page is mainly used to display product-specific keywords, but the current solution is not particularly ideal. First, the content that appears is less consistent with the tags that users are interested in; second, the information presented to users is rather messy, and the content is not well divided according to tags. All the content is mixed together and difficult to distinguish. When browsing, users cannot view it according to their one-way needs; third, the content dimension is low and the information aggregation is insufficient. Improvement suggestions:
Method 2: Users browse and search independently 1. Multi-dimensional information Content direction:
2. Search
Users can segment search results according to their search goals, and due to filtering, information is more vertical when browsing. Experience:
Improvement suggestions:
Function 3 Notes1. Take notes The entrance to take notes is on the home page and the Me page, which is relatively hidden. Note-taking process: Experience:
Throughout the note-taking process, the picture editing effect is very interesting. Users can add filters, labels, stickers and other content. The editing operation is convenient, and the labels take users into consideration, directly giving the added title content, saving users time to think. However, only one photo can be added at a time, and the rest of the time you need to go back and add it again, which reduces the continuity of the entire process and increases the repetition. Improvement suggestions:
2. Browse your notes
Function 4 Product Purchase
Experience: Xiaohongshu uses multiple information to guide users, such as product purchase information barrage and shopping cart countdown. These enable users to transform from rational thinking driven by emotions to emotional thinking, so that they can purchase and settle as quickly as possible. However, there are too few product types and low SKUs, so users are unable to purchase the products they want, which is slightly weak compared to the powerful note content. Function 5 Connection
Users can interact and follow each other through the UGC community, and automatically form groups based on their own preferences. At the same time, within this group, there will be behaviors such as sharing with each other and actively browsing the notes of the users they follow. People can better understand what they really need and stimulate their desire to shop. 5 Product InteractionFirst level page:Problem:
advantage:
Second level page:Problem: There is no direct return to top interaction in the note details 6 Product UIThe product's main color is red, which is suitable for young people and echoes Xiaohongshu. The overall interface is clean and concise, and the key design points are cute, fresh and flat. 7. Competitive product analysisAccording to Porter's five forces analysis: Alternative competitors: Bantang, What’s Worth Buying, Kaola.com, Life, and GiftTalk Potential competitors: Taobao, Douban Here, based on the model characteristics and DAU, Kaola.com and What’s Worth Buying are selected as competing products for analysis. Comparative analysis of basic properties:Feature analysisXiaohongshu: Community Function Xiaohongshu’s predecessor was a community, so it has strong attributes of content e-commerce. It excels in terms of high-quality community content, strong shopping guide attributes, and higher user stickiness than Koala. Koala's UGC content has not yet started, and the content tends to be operational recommendations. Koala Shopping: Special Offers Kaola.com sets up special sales as a separate page, emphasizing its importance and strategic position. It launched limited-time mobile phone purchases and exclusive mobile phone services to enter the mobile Internet market and create a price advantage. At the same time, it directly cooperated with brand owners and adopted a direct purchase and self-operated model to increase SKU. At the same time, the coordination of logistics chain and supply chain processes gained a certain degree of pricing autonomy, which attracted users to a certain extent. Data Analysis [Data from iResearch]DAU scale Xiaohongshu's DAU user scale ranks first among the TOP10, significantly suppressing the second-ranked Kaola.com, with a range of nearly 700,000 users. This is due to Xiaohongshu's community function and its obvious user DAU advantage. Order conversion rate During the 6.18 promotion, Koala's order conversion rate continued to increase, and the conversion rate remained above 15%, showing a strong momentum. At the same time, Xiaohongshu's order conversion rate remained basically flat during this period, maintaining at around 7.7%. The order conversion rate was low, and the difference with Kaola was more than 7 percentage points. Considering that Xiaohongshu's DAU is significantly higher than that of Kaola, it is speculated that the reason is that Xiaohongshu's community attributes are too strong, its e-commerce attributes are relatively weak, and its SKU is relatively low. Exclusive user ratio Xiaohongshu: 86.4% Kaola: 92.4% Difference: 6% Xiaohongshu has accumulated a large number of users by relying on high-quality notes in the UGC community and has gained a group of loyal fans. Kaola has established its own brand image through price advantages and product reputation, and its exclusive user share continues to increase. User retention rate Here we mainly focus on weekly retention and daily retention: Kaola's daily retention rate is 4 percentage points higher than Xiaohongshu's on average, and its weekly retention rate is 3 percentage points higher on average, which is a very obvious difference. The retention rates of both are relatively good, which can be attributed to the high-quality content that attracts users and the establishment of a points system that further improves the results. 8. Analysis and SummaryXiaohongshu has currently accumulated a large number of users, and has the advantages of user base and user stickiness, with high user retention and long retention time. However, from the order conversion rate, we can see that the attributes of the community are always stronger than the characteristics of e-commerce, and people's awareness of purchasing on Xiaohongshu has not been well guided. At the same time, the supply chain, logistics chain, and capital chain all need to be further strengthened. Although the content of the notes is good, the SKU is low, and users can no longer find purchase information of the products on the Xiaohongshu platform, which will reduce the user's desire to buy on Xiaohongshu. Xiaohongshu is currently in the product growth stage and has a good momentum of development. During this period, it is necessary to grasp the different characteristics of content e-commerce and transaction e-commerce in guiding user purchasing behaviors, as well as the verticalization, crowd concentration, and scenario-based characteristics after consumption upgrades to make plans. Here are the things the product is going to do: Select KOLs in society Currently, the hot spots in the e-commerce industry are focused on beauty, maternal and child care, etc. Products should grasp the current consumer preferences, respond quickly, and design solutions. Increase retention and repurchase rate Further build a points system or establish a user growth curve, with the core indicators being daily and weekly user retention Optimize supply chain and enhance channel capabilities Whether the product partners and their own positioning model are sustainable, controllable and suitable for the purchasing habits of target users. Exclusive keywords are further reflected in product design Further use the obtained user data and information to conduct analysis and push information to individuals
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