Many friends will encounter many problems when they first open a store. I often communicate with friends in the industry and find that the biggest headache for novice friends is product selection. Many novice friends have nothing to start a grassroots business. They don’t know what product they should make. There are also many girls who think that they like this product and it will sell well, so they put it on the store shelves. There are also some friends who have their own factories and have products. Put them in the store and sell them. But in many cases, you will find that your products have little sales after uploading them to the store. Why is this? A large part of the reason is product selection. When selecting products, we first need to understand what styles and styles AliExpress customers like. After understanding these data, we can then select the products to be put on the shelves based on the data to cater to them. Consumers, so the most important step before we open a store is product selection. There is a popular saying in the industry, “If you choose the wrong product, your efforts will be in vain.” This sentence profoundly explains the importance of product selection, so how do we choose good products and how to choose the right product?
We realized earlier that data analysis can provide us with a lot of help. We also said that in the era of big data, data is king. We must do things based on data and not rely on sixth sense. So how to use data How about choosing a product? This is a problem that many friends encounter. They have a headache when facing data, and they still can’t understand it. They even don’t know how to read the data. So where do we get this data?
First, let’s understand where we need to obtain data for product selection?
After we log in to the “AliExpress” seller backend, there is a business opportunity discovery module on the data vertical page. This module includes three parts of information, namely industry intelligence, product selection experts and search word analysis. In the product selection stage, we first select industry intelligence and use industry intelligence to understand comprehensive data on the industries we are interested in.
Industry intelligence.
1. Industry Overview
After coming to the industry overview page, we can choose the industry we are interested in. Now here I will take the women’s clothing industry as an example to explain the product selection process step by step. After selecting the women’s clothing industry, we set the time to 7 days. The following will display the traffic, transaction conversion, market size and other data within 7 days. Here we can see the average of the last 7 days, the number of visitors accounts for 67.14%, which means that in the clothing industry, women’s clothing accounts for 67.14% of the market. You can imagine how big the market for women’s clothing is, and the following data views Accounting for 64.9%, it means that the views of women’s clothing account for 64.9% in the clothing industry, and the following data has a similar meaning.
If you want to look at other categories in the clothing industry, we can choose men’s clothing and check it out. Compare the two categories, so that we can very intuitively understand the occupancy of each category in the industry we do. The size of the market allows us to make a specific judgment on the proportion of the entire market.
2． Industry trend graph data
Next is the industry trend data. We can see the trend graph of the women’s clothing industry, which includes the proportion of visitors, transaction volume, pageviews, and orders. , supply and demand index data, the chart data here can easily allow us to see the fluctuations of data in different periods.
3. Trend data details
If you want to see detailed data, you can click “Trend data details” to view it. This is pure text data, which makes people look very comfortable. It is very intuitive for us to understand the specific data information.
4. Industry Comparison Function
There is also an industry comparison function under the industry trend chart. Here we can select three industries at the same time for comparison. I chose three categories of clothing for comparison. Of course, everyone You can also choose other non-apparel industries for comparison.
Here I have chosen three categories: women’s clothing, men’s clothing, weddings and important occasions. They are all subcategories under the clothing industry. We can see that women’s clothing has dark gray lines, and the proportion of visitors is 71.28%, men’s clothing has gray lines, accounting for 20.05%, weddings and important occasions have light gray lines, accounting for 11.57%. By comparing the data, we know that the women’s clothing market has the largest number of visitors, and more people mean that The demand is huge and there are many orders. Men’s clothing is 1/3 of women’s clothing, and weddings and important occasions are the least popular. This shows that the popularity is still low.
What do we learn from the data comparison here? If we decide to do the clothing industry, it is okay to choose women’s clothing and men’s clothing, because there are many people buying women’s clothing and men’s clothing on “AliExpress”. Seeing this, another question arises: Should I choose to make women’s clothing or men’s clothing? This depends on everyone’s respective advantages. If we are more familiar with women’s clothing or have supply advantages, then we will choose to make women’s clothing. This decision depends on ourselves. After all, the data has told us the market share.
5. Industry distribution by country
The next step is the data at the bottom of the industry overview page. Here is the distribution data of our industry in different countries.
In the industry country distribution, we can see the proportion of transaction volume and number of visitors for the same product in different countries. Now we choose transaction volume. The data will tell us which countries the customers who buy women’s clothing come from. Only the top 10 countries are given here. We can use this data to see which countries have more consumers buying women’s clothing. This will determine whether the style of women’s clothing needs to meet the needs of consumers in these countries.
6. Blue Ocean Industry
After we understand the industry overview, let’s take a look at the blue ocean industry in the industry intelligence. What is the blue ocean industry? Blue ocean refers to an unknown market space that needs to be developed. Blue ocean industries refer to those industries where competition is not great but buyer demand is relatively strong. Blue ocean industries have new business opportunities and opportunities. We can also see the official introduction of “AliExpress” to the blue ocean industry.
Here, the “AliExpress” platform recommends several blue ocean industries to sellers. The bluer the industry, the less intense the competition. You can click to view the details for reference. Blue ocean industries allow us to avoid red ocean markets and discover markets where there is little competition but there is demand.
7. Blue Ocean Industry Segmentation
The next step is the Blue Ocean Industry Segmentation Market Query Tool, with which we can select an industry to view the Blue Ocean Industry Segmentation data under this industry.
Here we can query the supply and demand index of categories in various industries. The smaller the commodity supply and demand index in the industry during the statistical period, the smaller the competition. On the contrary, the larger the supply and demand index, the larger the market and the greater the competition. Here I choose to query the women’s clothing industry. We see that women’s underwear and bikini sets under women’s clothing are in relatively high demand, which means sales are going well. Through this query tool, we can understand which categories under women’s clothing are easier to sell, or have less competition. , so you can choose what products you want to sell.
So what else do you need to know after finding out which categories in the industry are best-selling through data analysis? The answer is very simple, what are the user’s needs, what style, what style, what model, what size, where can I find these data? This requires the use of the second functional module of business opportunity discovery – product selection expert.
Product selection expert.
1. Hot Selling Categories
After entering the product selection expert page, if we select women’s clothing under Hot Sales, the sales status of each category represented by circles under women’s clothing will appear. The larger the circle, the greater the sales of this category. Of course, Competition is also greater. We see that dress (skirt) is the largest in the circle and the best-selling one. If we want to see more detailed data, we can click the “Download raw data for the last 30 days” button on the upper right to obtain recent sales details.
After downloading, you can see the detailed data. We see that dress ranks 1st in transaction index and 16th in purchase rate. Of course, the competition is also the largest. If we want to see more detailed data of dress, we can Click on the big red circle of dress.
After clicking, we can see that the products related to dress include t-shirt (T-shirt), dress (skirt), skirt (skirt), jumpsuits (jumpsuits), etc. These are the For products related to dress, the larger the circle area, the greater the product sales; the thicker the connection, the higher the buyer’s attention. We can see that the thickest line between dress is also dress, which means that consumers who pay attention to skirts are most likely to browse skirts, click on skirts, or purchase skirts at the same time.
2． Hot-selling attributes
The following is an introduction to the TOP hot-selling attributes. Hot-selling attributes are the most popular attributes of our products. The data here will tell us which attributes of the dress product are most popular among consumers and are most likely to be purchased by consumers.
The data here includes detailed attributes of dress. We can obtain relevant information through “Download the last 30 days of raw data” on the upper right and conduct analysis.
After downloading, we can see the hot-selling attributes under dress. The hot-selling attributes under dress are polyester and cotton. These data tell us that if we want to choose material for dress, we should choose which products with hot-selling attributes will be more popular among customers and put on the shelves in the store. Of course, there are also hot-selling attribute data such as dress sleeve length, neckline, style, skirt length, etc. below the table for your reference.
3. Hot-selling attribute combinations
Introduction to hot-selling attribute combinations. The same color represents a type of attribute combination. The larger the color proportion, the more sales. We can select products based on attribute combinations and supply conditions, which means we can use this combination tool to analyze the market prospects of products with combined attributes.
Here we can click on a group of attributes of the same color to combine them. The larger the circle, the more sales. After clicking, we can search by selecting 2 to 3 attribute combinations, and then view the attributes of these combinations. Sales volume. For example, here we have selected 3 attributes, namely sleeve length, collar, and style. Then we can directly search and select online sales products with these three attributes to judge the market response of such combined attribute products on “AliExpress”. If the combined attributes sell well on “AliExpress”, then it means The market for products with this type of combination of attributes is very good, and it is worthwhile for us to develop corresponding products based on this type of combination of attributes.
4. Hot Search
In addition to obtaining information about hot-selling products, the product selection expert module also has an important function that provides hot search information, that is, the hot search function. Through this function, we can understand what keywords are most searched for by buyers of a certain product. More people searching means greater market demand.
In the industry option box of the product selection expert’s hot search tool interface, we still take women’s clothing as an example. The popular search terms under women’s clothing will be displayed in the interface. If you want to see detailed data, you can download 30 days of raw data. Learn more.
After downloading, we can see the details of the hot-searched products in the women’s clothing industry on “AliExpress”. These data can let us know which products are the most popular in searches. Of course, if you want to get more For more detailed data, you can click on the circle to view the detailed data of a certain keyword. We can use these data as a reference for our product selection. The hot search tool data here mainly tells us what are the most popular search keywords among consumers under women’s clothing, so as to know which products under women’s clothing are the most popular.
If the product we choose has no search popularity, then it is like if we opened a physical store in the deep mountains and old forests, so if we choose products without search popularity to put on the shelves, there will be very few people browsing. There are only a handful of people buying it.
Through this overall data analysis and product selection, we understand which market should be targeted at making women’s clothing, which consumers should be targeted, what materials and styles of clothes should be chosen to better meet consumer needs, and have an overall understanding of the market. , accurate understanding. At this point, the data analysis of the entire product has been completed. Through the above steps, I believe that everyone will be able to find the product that best suits them.