When we are shopping, we often encounter the problem of choosing among multiple products, especially for high-value products. The Gaide ranking was born to solve this problem. As the shopping environment becomes more and more perfect and consumers become more rational, how does the Gade ranking stand out? The author will analyze the Gaide ranking from multiple angles based on the current actual market environment and user usage conditions, and put forward suggestions for improvement.
This article will analyze from the following aspects:
Product Overview
Market Analysis
User Analysis
Functional Analysis
Operational Analysis
Summary
1. Product Overview 1.1 Product Introduction
Gade ranking is in the form of PGC ranking , providing objective and neutral products and merchant rankings for users with shopping and consumption needs, basically covering most general commodities, medicines, major catering stores and urban service providers in popular cities. The ranking basis mainly comes from major rankings, which are organized by editors to eliminate competitive rankings.
1.2 Product Function Framework Diagram
Product Architecture
1.3 Typical Usage Path
a. The user is shopping on the website and wants to find something What products in this category are worth buying?
b. The user wants to find a restaurant/other city services.
c. The user already has something he wants to buy, wants to get shopping subsidies or looks for coupons.
d. The user does not have a clear shopping goal and just looks around.
2. Market Analysis 2.1 Market Boundary
Gade Ranking is a website that mainly provides consumers with various product rankings and city service ranking services, while also providing more preferential purchasing channels. Assisted shopping APP.
The target group is rational consumers who have certain spending power and pay more attention to product differences and product parameters. As its product rankings and city service rankings cover more and more comprehensive areas, the number of target users of the products is also constantly increasing, and the market boundaries are constantly expanding.
2.2 Estimation of market space
The people covered by the Gade ranking are mainly rational consumers who shop online, have certain spending power, and pay more attention to product differences and product parameters. Users The group is mainly between 25 and 40 years old.
According to the 43rd Statistical Report on China’s Internet Development in 2019 released by CNNIC: The number of netizens in my country reached 829 million, and the number of online shopping users was 610 million, accounting for 73.6% of the number of netizens. Netizens aged 20 to 39 accounted for 73.6% of the total number of netizens. There are approximately 50.3% of the total number of Internet users, approximately 43.1% are Internet users with high school education or above, and approximately 45.1% are those with a monthly income of 3,000 yuan or more.
It is estimated that by 2020, online shopping will cover about 80% of the number of Internet users, and the number of Internet users will reach about 900 million. Internet users aged 10 to 19 account for 17.5, and those aged 40 to 49 account for 15.6. High school education and above basically refer to users over 18 years old. This type of people account for the vast majority of the group with a monthly income of more than 3,000 yuan, and the target group also covers a small number of students aged 19 and under and the elderly.
According to data from previous years: the number of people with a monthly income of 3,000-5,000 has not changed significantly, but the number of people with a monthly income of more than 5,000 has increased significantly every year, with an annual increase of about 40 million people. On the one hand, this group of people comes from the previous lower-level income groups who were promoted and received salary increases, and the other group comes from the students who originally had no income. They are basically the people covered by online shopping. Based on this calculation, the market ceiling is approximately between 300 million and 350 million.
iiMedia Consulting’s estimate
2.3 data
2.3.1 APP own data
Gade ranking in the past year Android download The number of downloads on iOS is about 1 million, and the number of iOS downloads is about 420,000. The number of independent iResearch devices dropped sharply from the previous average of 400,000 to 550,000 to 240,000 in April this year. It is estimated that the actual monthly active users are between 15 and 150,000. Around 250,000, the number of users is relatively small.
Data source - iResearch data
According to Analysys data: the average number of startups per capita per month in the Gade ranking is 11.6, the average monthly usage time per capita is 0.6 hours, and the average number of startups per capita per day is 2.1 times. The average usage time per person per day is 6.0 minutes.
2.3.2 Competitive product data
1) Product ranking category
There are very few apps on the market that are similar to the Gade ranking. Currently, only the top 100 have been found. Ranking is an APP that has a high degree of similarity in business. Top 100 Ranking mainly provides product ranking services and also has a shopping rebate function. However, there is too little online data. We can only know that the Android version has a certain number of downloads, but its functions are not very complete, and there are too few active users overall, so it has not been included in the major data platforms.
2) E-commerce shopping guide platform
Here we choose the PGC UGC model of what is worth buying and the UGC model content community Xiaohongshu for the content shopping guide, and the OGC model for the price shopping guide. Compare the rebates and Yitao. (Analysys is limited by trial accounts, and the data that can be viewed is older)
Comparison of Xiaohongshu and what is worth buying (data source – Analysys Qianfan)
What is Xiaohongshu and what is worth buying? There is a big gap in the size of users worth buying, but the opposite is true in user stickiness. The average number of activations per month for What's Worth Buying is 66.72 times, compared with 23.31 times for Xiaohongshu. The average monthly usage time for What's Worth Buying is 5.01 hours per person, and 2.06 hours for Xiaohongshu. What is worth buying? The average number of daily activations per person is 5.13, and Xiaohongshu is 3.52 times. What is worth buying? The average daily usage time per person is 23.04 minutes, and Xiaohongshu is 18.62 minutes.
Comparison between Yitao and rebate (data source - Analysys Qianfan)
The user scales of rebate and Yitao are similar, but there is a gap in user stickiness. The average number of activations per person on Yitaoyue is 18.55, and the rebates are 11.67 times. The average usage time per person on Yitaoyue is 1.12 hours, and the rebates are 0.44 hours. The average number of daily activations per person on Yitao and the rebates are similar, both around 2.7. The average daily usage time per person on Yitao is 9.78 minutes, and the rebates are 6.29 minutes.
It can be seen that the user stickiness of price shopping guide apps is much lower than that of UGC content shopping guide apps. A well-managed community can retain a considerable number of users after it develops to a certain extent. Users participate in community discussions and improve content. In the process, users' desire to purchase is also increased. Users complete purchases in the APP, forming a complete closed loop.
Xiaohongshu mainly targets female users, and mainly targets the beauty and apparel categories. The user group and content are simpler but more targeted in terms of what is worth buying. What’s Worth Buying targets a wider user group, and because it mainly provides discount information, updates quickly, and the information is timely, users will use the APP more frequently.
However, too much information about what is worth buying has also caused problems. Too much information seems very messy, and the lack of in-depth articles will dissuade many users. The remaining users actually spend most of their time using it. Sifting through large amounts of information.
The overall difference between the two price shopping guide apps is mainly that Yitao has richer content and adds more content information on the basis of simple rebates and coupons. However, the user stickiness of the two products Still far lower than UGC-type content shopping guide APP.
3) City Services
Dianping and Word-of-mouth are selected here. Both are apps that provide rankings of local life service merchants and group buying information.
There is a certain gap in the user scale of the two APPs, and the user stickiness of Dianping is higher than that of word-of-mouth. Dianping's monthly average activation times per capita are 15.08 times, word-of-mouth usage is 10.13 times, average monthly usage time of Dianping is 1.06 hours, and word-of-mouth usage is 0.43 hours. The average number of daily activations of Koubei per capita is 2.55 times, slightly higher than 2.36 times of Dianping. The average daily usage time of Dianping per person is 9.89 minutes, which is higher than 6.57 times of Koubei.
Dianping and Word of Mouth have almost the same market positioning and functions. They are both UGC promotion models. The reason why Dianping is superior in user stickiness is mainly because Word of Mouth entered the market late, while Dianping is in The market has been deeply cultivated for many years, and the merchant resources are richer than word-of-mouth. All aspects are more complete than word-of-mouth, and there are more choices.
The reasons for the gap in user scale are: first, the difference in time of entering the market; second, many users use Koubei in Alipay without downloading the Koubei client, which has an impact on the usage of Koubei APP; third, Dianping has business cooperation with WeChat. It has a secondary entrance under the payment function and a WeChat applet, which makes it easier to obtain traffic from WeChat. As a product of Alibaba, word-of-mouth will also be affected by content dissemination on WeChat. There are certain restrictions, and there are no WeChat mini programs.
2.3.3 Comparative analysis with competing products
Gade ranking is a PGC model. Editors with professional knowledge select and rank products or services, or integrate online authorities. Rankings, thereby producing different rankings. The advantage is that it can control the quality of the output, but the disadvantage is that user participation is low.
Compared with competing products in the UGC model, user stickiness and activity are lower, and user stickiness data is closer to the two-price shopping guide APP in the OGC model. There are still very few product rankings in the PGC model on the market, and it cannot be compared with other products in this regard. This is also the core competitiveness of Gade ranking.
2.4 Summary
The core function of Gaide Ranking, which is also the most competitive part, is the product ranking list in PGC model.
The characteristics of this ranking list are: first, it advertises that it does not charge any fees, that is, it is objective and fair; second, it covers a complete range of products. In addition to beauty and personal care and digital 3C that are common in other apps, it also covers a large number of daily necessities, electrical appliances, etc., and urban services are also ranked in the PGC model.
However, the current objective and impartiality of the Gade ranking is not enough and it is not reliable enough. Objectivity and impartiality, on the one hand, means not collecting money and not doing "bidding ranking". On the other hand, it means the accuracy of ranking. In this aspect, the ranking is not very satisfactory. When searching for reviews of Gade Ranking online, a large number of users reported that the ranking was not accurate and objective, and the ranking criteria were not transparent. Especially the evaluations of some professional users made the ranking of Gade Ranking unconvincing.
For rankings, objectivity and fairness are lifeblood. For Gade rankings, criticism from online professional users, especially influential professional users, will seriously hinder the promotion of products.
In this regard, on the one hand, products can be split into different dimensions and each dimension can be scored differently to make the evaluation standards transparent and standardized. On the other hand, you can find influential, objective and independent evaluation agencies and media to assist in ranking work, which will save labor costs and be more convincing.
In fact, users don’t particularly care whether your rankings come from domestic and foreign professional institutions. The rankings of these institutions may themselves be unfair, and users feel that the rankings are reliable.
On the one hand, it is based on one's own understanding of the field that one is familiar with, and one has an evaluation of whether the ranking is reliable; on the other hand, it is based on the accuracy of the ranking by other media, professionals, and other users. evaluate. Therefore, standardization, professionalization, and transparency of ranking standards are what Gaide Ranking must do. For currently retained users, improving the stickiness of the product to them is also an important task.
3. User analysis 3.1 Age analysis
Data source – iResearch data
According to iResearch data in May 2019: the main uses of Gade ranking The crowd is concentrated between the ages of 25-40, especially those between 31-35 years old.
This group of people generally have certain spending power and have formed the habit of online shopping. Users under the age of 24 account for 10.03, which is a relatively small proportion. The main reasons are that first, most of these groups are students, have not yet graduated, have no stable source of income, and have limited spending power. Second, the funds mainly come from parents, and consumption is more Focus on personal hobbies or personality, and cost-effectiveness is not the main concern.
Users aged 25-30 account for 22.33, ranking second among the five age groups. Most of these users have just entered the workplace. They have some money but not very strong spending power. They pay attention to cost-effectiveness. At the same time, online shopping has become their important shopping method. Compared with users under 24 years old, this group of users have more mature and rational shopping concepts.
Users aged 31-35 account for 45.15%, making them the absolute main force in the Gaide ranking. Most of these users have stable and successful careers, their income levels are generally in the middle or upper-middle range, they can basically achieve financial independence, and they have a certain consumption budget in addition to daily expenses. Most people have already started a family and are under great financial pressure due to family, children and other reasons. They need to buy more types of items than before, and they need to use clear shopping guides to purchase high-quality or cost-effective products.
Users aged 36-40 account for 18.12%, ranking third among the five age groups. This group of users has basically formed stable consumption habits, has relatively fixed preferred brands and purchasing channels, and has strong spending power. The main purpose of using Gaide rankings is to find cost-effective or high-quality products in a small number of unfamiliar fields.
Users aged 41 and above accounted for 4.37, accounting for the smallest proportion. The main reason for the small proportion is that many users in this age group are not good at online shopping, or are accustomed to going directly to e-commerce platforms to shop, and are not good at using third-party tools. They rarely have the idea of ??comparing prices or actively looking for third-party products for comparison.
3.2 Gender analysis
Data source – iResearch data
According to iResearch data in May 2019: there are slightly more female users than male users in the Gade ranking. The gender ratio is generally relatively balanced.
The reason why the gender is generally relatively even is that the Gaide ranking basically covers most product categories and urban services, and is not limited to one or two categories. Compared with Xiaohongshu and Mogujie, Similar APPs cover a wider range, so the genders are more even, and can provide consumption guidance to almost all users. As for the reason why there are slightly more female users than male users, the author believes that this is related to the functional change of the Gade ranking.
Data source – iResearch data
iResearch data in February 2019 shows that at that time, there were slightly more male users than female users in the Gaide rankings. Over the past few months, Gaide Ranking has enhanced its subsidy and search coupon functions.
Data source - iResearch
The above picture shows the user gender data of rebate APP in May 2019. It can be seen that there are significantly more female users than male users. Gaide Ranking has attracted more female users to use it by increasing subsidies to users and improving shopping-related functions.
3.3 User distribution analysis
Data source - iResearch data
According to iResearch data in May 2019: users ranked by Gade are mainly distributed in the economy The more developed coastal areas are followed by the more economically active provinces in the central and western regions.
This is mainly related to the level of regional economic development. In areas with high economic levels, people's spending power and willingness to consume are stronger. The city service guide of Gete Ranking will also be improved in major big cities first, which will also attract users from these big cities more. Especially Guangdong, as the location of Gete Ranking, is also the first place to be improved.
3.4 User Usage Scenarios
User A:
A 22-year-old college student, male, who is about to graduate. He wants to buy a laptop and checked online. I still don’t know how to start because I don’t understand the review videos of Hu and Bilibili.
A friend suggested to him to download the Gaide ranking and let him choose the one he likes at the top of the ranking to buy. After downloading, he found the breakdown list of laptops. Based on his budget and needs, he selected a good-looking model among the top models in the list and placed an order on JD.com.
User B:
A 27-year-old white-collar female, recently bought a house to renovate, and had trouble buying appliances, such as range hoods, washing machines, and refrigerators. such products.
There are no reviews online, so I basically rely on the experience of friends and family around me to get a rough idea. The staff at the home appliance store can't tell you which product is better than another.
I accidentally learned from a friend that the Gade rankings cover these "evaluation blind spots" products very well, so I downloaded and started using it. Under each product category, she learned some basic knowledge and common misunderstandings through the knowledge encyclopedia, and used the super filter to select several suitable products. After experiencing it in an offline home appliance store, she finally selected her favorite appliance and completed it offline. purchased and installed.
User C:
A 30-year-old working mother with a certain financial strength who just gave birth to a child the year before. There are many things to buy for children, especially diapers, milk powder, and milk. I want to buy some better ones but I am afraid of being deceived by false propaganda. There are too many soft articles on the Internet, and I mainly rely on recommendations from colleagues and friends around me. I learned about the Gaide ranking while reading related articles on Zhihu, downloaded it, and used it. I saw that the products I bought before that had relatively good usage were also on the recommendation list. I gained trust in the software. After reading some other recommended products, I found that in You can directly connect to merchant stores within the software, which is very convenient. You don’t have to waste time and effort searching on various platforms. So in the future, you will often find and buy things through the Gaide ranking.
User D:
A 34-year-old veteran traveler who has been to many countries and recently traveled domestically. I want to find some local specialty restaurants, but there are too many soft guides online. Many of them are places where outsiders go but locals don’t often go. Many of the top ones on Dianping are not local specialties, and the ratings are about the same. It’s hard to read. What a difference.
I learned on the Internet that Gaide Ranking has many special rankings, so I downloaded it and tried it. There are rankings of different types of restaurants in different cities, and they are compiled based on the rankings of multiple institutions. The possibility of soft articles is relatively small, so I found some restaurants to try based on the recommendations above, and the reviews were good. I planned to buy some specialties, and Gaishang also had recommendations for local specialties and special snacks. They were very considerate, so I followed the recommendations above and bought some offline to take back.
User E:
A 36-year-old office worker, female, with a relatively relaxed job. She often buys things online in her spare time. She is budget-conscious and will also use rebate websites or APPs. Look around for coupons to save money.
Recently, she heard that Gaide Ranking offered more rebates, so she downloaded one to give it a try. In addition to the points given by general rebate websites, Gaide has recently provided additional subsidies, which makes her very happy. Moreover, Gaide also has the function of searching for coupons, which makes shopping easier. She now mainly uses Gaide to get rebates and find coupons, and sometimes browses through the rankings of interests.
User F:
A 32-year-old designer, male, who likes niche products with a sense of design. He is a loyal fan of Smartisan mobile phones and Smartisan OS. He also follows Weibo. Luo Yonghao.
Lao Luo promoted an APP called Gade Ranking from time to time, which aroused his interest. After he downloaded and used it, he was attracted by this APP. The interface is simple and clear, without any advertisements or annoying push notifications. There is no smoky community, and the ranking content is comprehensive and practical. He now often refers to the content on Gaide’s rankings before buying anything, and then chooses products that suit his taste.
IV. Functional Analysis 4.1 Problem Analysis
As a consumer assistance tool, the main function of Gaide Ranking is to provide consumers with a reference for consumer decision-making and to provide consumers with fairness. , objective and reliable consumption rankings. Before users purchase goods or consume services, they can check the ranking of the corresponding goods or services on the Gaide ranking.
The ranking criteria are opaque and lack credibility;
The display format is single, the content is boring and not down to earth;
Lack of user evaluation content;
Not tightly integrated with shopping-related functions.
The credibility of rankings is the basis for the survival of Gaide rankings. The Gade ranking does not show the specific source of the ranking data, and does not publish the specific criteria for the ranking. It is all done by the editor.
In addition, some product rankings are inconsistent with user experience, which will cause users to have a sense of distrust in the rankings and damage the core competitiveness of Gade rankings.
The content displayed in the Gaide ranking is basically text, with very few pictures and no videos, and the text is often very long. Some of the text is very similar to the manufacturer's promotional slogans, which cannot meet the user's needs. Users don’t have the patience to read it all, or they can’t grasp the key points after reading it. Users hope to have more pictures and more concise and down-to-earth text to guide their purchases.
Currently, Gaide ranking does not have a user evaluation function. Evaluations come from responsible editors and evaluations captured from e-commerce platforms. However, the number of reviews captured by e-commerce platforms is not large, and most of the reviews above lack value. Editors’ reviews may sometimes be biased. Users hope to see more realistic and multi-dimensional reviews, especially those that reveal some Evaluation of potential defects.
The "Special Offer" module is the main profit point of the Gaide Ranking. The improvement of the shopping function and the degree of integration with the ranking function directly affect the profitability of the Gaide Ranking. The special offer information and recommendation information displayed in the current Gaide rankings are often different from the needs of users, and users have no desire to purchase. The jump function is missing in some places, and users cannot jump directly from the app to the product page, making it impossible to complete the shopping process within the app and bring revenue to the app.
The improvements to the Gaide ranking will mainly focus on three aspects: enhancing core competitiveness, improving user experience, and increasing user stickiness.
4.2 Modify the content
4.2.1 Product display
In order to make the ranking standards transparent and improve the persuasiveness of the ranking, a multi-dimensional scoring function is added to display the good results. Ratings on different dimensions of the product and the average rating of Gade users.
Add GATE user comments and rating functions. Users can post short comments or detailed comments (evaluations), which are linked with the newly launched community function. Users can also ask questions about issues they are interested in. Product features focused on user reviews will be displayed under the overall rating.
Access third-party reviews to provide users with more references.
Add product image browsing, product parameter viewing and comparison functions.
4.2.2 Community function
In the initial stage, it will be an evaluation community without a first-level entrance. It will be upgraded to a product community after a certain number of users.
The so-called review community is a community developed around the product review function, with user reviews and evaluation as its core. Product reviews are the review module on each product page, and reviews are subdivided into short reviews and detailed reviews (evaluations).
In the early days, only the product page and personal page were set up with entrances. Later, when the number of users increased and the review coverage was greatly improved, a first-level entrance was set up so that users could wander around and refer to different products and products of different categories. Users can set the categories they follow, or predict the categories they are interested in based on their browsing history. When new popular products are launched for review, review messages can be directly pushed.
Community-related operations:
User sources:? There are currently few users in the Gaide ranking, and the added UGC content requires KOL users and professional users to settle in and produce content, so it involves Get seed users.
In the early days, through the third-party evaluation module, you can get some traffic from third-party evaluation institutions and their audiences and readers. You can invite personnel from evaluation agencies to come in and provide high-quality comments on the products they have evaluated, and provide more details beyond the evaluation article or things that are inconvenient to say in the evaluation.
For the initial users brought by evaluation agencies who are familiar with the field, certain incentives should be used to encourage them to leave more reviews. Relevant editors should also actively participate in interactions with users in the early stages, such as interacting with users in their reviews and answering user questions in the product Q&A module. Promote through special post bars, forums, QQ groups, WeChat groups and other channels.
User incentives: For evaluation agency personnel, well-known industry media people, etc., their accounts can be authenticated and displayed at the top in scenarios such as reviews.
Editors should inspect the review content in a timely manner. For users’ high-quality reviews and reviews, firstly, they can increase users’ more “experience points” and improve their levels faster. Reviews can be displayed higher in the ranking, which can increase production efficiency. High-quality reviews can be directly pushed to users who have paid attention to related fields; secondly, for content that has not been reviewed before, or for professional users who have accumulated users in the early stage, additional Gaide subsidies can be provided as rewards for them to use Gaide Used in the special price function of the ranking APP, it encourages users to discover and use other functions in the Gade ranking, and promotes traffic monetization; thirdly, after a certain number of users, a creator incentive plan is implemented, based on the evaluation of reading volume, interaction, The number of positive reviews can reward the author with a certain amount of shopping subsidies.
User community management: The main purpose is to prevent excessive trolls and spam messages and improve user stickiness.
First of all, when registering, you must bind your mobile phone number to publish content. Secondly, to prevent spam information, when the number of users in the initial stage is relatively small, manual filtering through the dictionary can be used, and at the same time, the minimum interval for sending information and the minimum number of words can be limited.
4.2.3 Optimization of ranking display
During user research, many users reported that the brand list did not meet the needs of use, and its ranking dimensions and content needed to be optimized. At the same time, the super filter entrance was ignored by many users, so the entrance was adjusted.
4.2.4 Food and other optimizations
In addition, the food section has added a new category of Internet celebrity restaurants to inspect and evaluate emerging local restaurants and update them in a timely manner to be more in line with the daily life of local people. usage requirements. Others involve optimization and associated changes to the homepage and "My" page.
V. Operational Analysis 5.1 Current Operational Situation Analysis
It has been nearly three years since the public beta of Gaide Ranking was launched in September 2016, and it has accumulated a group of loyal people. Core users with high degree of popularity, but the total number of users is small and has a downward trend.
Online promotion mainly relies on the Weibo channels of the two investors, which has achieved certain results in the short term. However, due to the transparency of its rankings and the identity of investors, the number of users that can be retained for a long time is limited. The activities within the application mainly revolve around the activities of the e-commerce platform, and there are limited activities related to activating user groups and improving user activity.
There is a gold coin system for user incentives, but the gold coins are of little use and can only be used for the lottery of two products, which is not very attractive to users. In the current gold coin system, users can earn gold coins through daily use, including using APP, reading rankings, reading articles, sharing content and other operations. Users can participate in the lottery with a small amount of gold coins. There are currently two prizes, one is electric mosquito repellent liquid and the other is electronic cigarettes. The unit price is not high and the variety is small.
The incentive effect for users is not strong, users have no finalized incentives, and the rewards are too few and impractical for most users.
The implementation conditions are too simple. You can increase gold coins by reading lists and articles, including clicking in and exiting immediately. It does not help to improve the actual usage rate and effect.
The tasks set are unrealistic. Because the current content in Gaide’s rankings is basically lists, which are not updated frequently, and the popular article column has been basically abandoned. Users often only use it when they need to buy something, and rarely come to hang out on a daily basis. These tasks seem to be purely designed to increase daily activity data, rather than really improving user stickiness and retention.
5.2 Design and operation activities: Everything can be "covered"
Activity theme:
Encourage users to take photos of the good products and stores around them, Write down your reasons for recommendation and upload them to Guade. ?Activity purpose: ?Increase user activity, tap KOLs, and prepare for the subsequent launch of community and other UGC-related content. ?Activity time:?From now on to the early stage of UGC content going online.
Event preparation:
Open the APP for the first time during the event and the event promotion page will pop up.
The banner on the homepage is continuously displayed, and an activity area is set up. Users can view and interact with content uploaded by other users (just like the designed community function).
Notifications are pushed on mobile phones and promoted on Weibo every day.
Activity rules:
User comments must be no less than 20 words and must have at least one picture. When publishing, they need to be related to specific categories and products. Medical students do not participate in the event.
The five users with the highest number of likes under each secondary category will receive an additional 20 yuan shopping subsidy from Gaide, which can be used for shopping on the Gaide ranking. Users who publish detailed reviews of the top ten most popular products in each category will also receive an additional shopping subsidy reward of 50 yuan. A maximum of 2 people in each specific category can win. These users can join the core user groups of various categories in the Gade rankings, and can communicate with the editors of the Gade rankings in the most timely manner, provide feedback, and will be notified of any events as soon as possible. (21 13 major categories, 91 10 92 secondary categories)
For users who provide products and stores that are not in the original ranking, if the editor verifies that they meet the conditions for inclusion on the list, their quality and acceptance will be considered. Depending on the popularity of the community, an additional shopping subsidy of 2 to 20 yuan will be awarded.
If the content generated by this event is later launched with UGC-related functions, it will be directly imported into it.
6. Summary
For the online shopping market that is still expanding in scale, there are almost no equal competitors in the Gaide ranking, and the number of users in the online shopping guide market is also increasing. , this is an excellent opportunity for Gaide Ranking. Gaide also needs to continue to strengthen its core competitiveness, be more transparent and fair in product ranking, optimize the user experience, enhance user stickiness, and carve out a niche in the online shopping guide market.
This article was originally published by @sys.sys on Everyone is a Product Manager. Reprinting without permission is prohibited
The title picture is from Unsplash and is based on the CC0 agreement