The big data selection is to process the massive data collected through a certain logic, and present the various data of the Listing in a structured manner to help sellers find products that meet their expected positioning.

Seller Elf exclusively summarizes 20 big data selection ideas, and summarizes them into three categories: keyword big data selection, product big data selection, and category big data selection. The filter conditions in each selection mode are for reference only, please fill in the specific values ​​according to your own situation.

Every search a buyer makes on Amazon represents a demand for a certain type of product. Keyword selection is to discover potential markets based on buyers’ search behavior, gain insight into buyers’ real needs through keywords, and then find products that can meet their needs.

1. Select products based on market trends

The market segments pointed to by the head keywords are either mature in the market or explosive models, which are out of reach for most sellers. So I suggest everyone: light head, heavy trend. Keyword weekly data can better reflect real-time changes in market trends.

Filtering conditions: Select a first-level category, set the ranking growth rate in the past 4 weeks > 10000, and the ranking growth rate in the past 4 weeks > 10%, you can filter out the category that has a large search ranking and has continued to increase in the past 4 weeks. Keyword segments.

(The picture comes from the keyword trend selection of Seller Elf)

2. Selection based on market demand

The keywords with the top 10,000 search rankings represent the top 10,000 market segments with the greatest demand.

The market segment pointed to by such keywords has high demand and large traffic, but it also means that the competition is relatively fierce, and it is more suitable for sellers with certain strength.

Filter conditions: Select a first-level category and set the maximum keyword search ranking to 10,000. The query results are sorted in ascending order by default. The higher the ranking, the greater the search volume.

(The picture comes from the keyword trend selection of Seller Elf)

3. Select products based on market potential

These keywords have good search rankings and a certain growth, but they are not particularly high, and the corresponding market segments are relatively less competitive, which is more suitable for small and medium-sized sellers.

Filter conditions: Select a first-level category, set the search ranking to 10,000-100,000, and the search growth rate in the past week is greater than 10%.

(The picture comes from the keyword trend selection of Seller Elf)

4. Soaring selection based on search

The search ranking of keywords has soared, indicating that the market demand is very urgent.

It may be a seasonal and festive product, or it may be a budding potential product, which can be judged based on ranking trends or Google Trends.

Filter conditions: Select a first-level category and set the ranking growth rate to be greater than 50% in the past week.

(The picture comes from the keyword trend selection of Seller Elf)

5. Selection based on market capacity

Each keyword corresponds to a market segment. The size of the keyword search volume directly reflects the market demand and capacity, and is also an important reference indicator for sellers when choosing a competitive track.

For strong sellers, the monthly search volume of keywords is less than 100,000, they do not like it, because the volume is too small and does not meet their sales expectations; for small and medium-sized sellers who have just entered the market, they will give priority to monthly search. A market with a smaller volume, because a market with a large monthly search volume, often means more competition.

Filter conditions: Set the monthly search volume > 100,000, the monthly search volume growth rate > 10%, and then superimpose other filter conditions according to your own strength and preferences. For example, sellers with financial advantages can choose products with high customer unit price to cut in and win with profits.

(The picture comes from the keyword selection of the seller wizard)

6. Select products based on market competition

The click concentration of a keyword refers to the proportion of the click volume of the top three ASINs in the click volume of a keyword search result page in the total click volume of the keyword. Page) monopoly, the lower the degree of monopoly, the less competition in the market.

Filter conditions: Select a first-level category, set the click concentration to be less than 50%, or directly arrange the search results in ascending order of click concentration to filter out the keyword market with low market monopoly.

(The picture comes from the keyword selection of the seller wizard)

7. Based on new market selection

The principle is to filter out the market that has the search volume of the keyword in this month (this year), but did not have the search volume of the keyword in this month last year. This indicator can be combined with other filter conditions to filter out new markets. When the market enters the Red Sea stage, it becomes particularly important to tap the incremental market from the stock market. This kind of market that has not been seen before and only appeared this year is undoubtedly a new type of market that is growing.

Filter conditions: Set the monthly search volume > 10000, the monthly search volume growth rate > 10%, and then select [New Market Segment] to filter out the emerging hot topics that have not appeared in a certain category in the last year and have been growing rapidly recently. market.

(The picture comes from the keyword selection of the seller wizard)

8. Based on seasonal/festive selections

Seasonal products are fast in and out, making it faster and easier to bring in profits. But on the other hand, it also requires sellers to have the ability to understand the market. By referring to the historical search data of the main keywords of the product, you can grasp the changes in buyers' needs, help sellers to arrange products in advance, and leave enough time for product preparation and listing creation.

Filter conditions: Select a first-level category, and select different months according to [Market Cycle], and then you can find keyword markets with higher search volume than usual in the corresponding month under this category.

(The picture comes from the keyword selection of the seller wizard)

9. Select products based on marketing costs

The flow value represents the flow cost required to sell goods of the same value. Calculation rule: Cargo flow value = PPC price / average product price. For example, the PPC bid of the keyword iphone 13 case is $4.57, and the average product price is $20.62, then the cargo flow value is /20.62*100%=22.1%, which means that every 100 For US dollar-valued goods, the cost of a single traffic is 21 US dollars.

Generally speaking, the lower the cargo flow value, the lower the cost of attracting traffic to the sub-industry, and the less competition. It may also mean that the sub-segment corresponding to the word is still in the blue ocean.

Filtering conditions: Arrange the market segments under a certain category in ascending order of cargo flow value, and screen out the market segments with relatively lower marketing costs.

(The picture comes from the keyword selection of the seller wizard)

10. Select products based on long-tail market segments

Keywords under a category can generally be divided into core words and long-tail words. Although the core big word traffic is large, it often means more intense competition. Long-tail keywords generally refer to keyword phrases with a number of words greater than or equal to 3. Although there are not many buyers who use long-tail keywords to search, and the audience scope is small, the search content it points to is more specific, it can quickly target the purchasers, the traffic is more accurate, and the conversion rate is relatively higher.

Therefore, for small and medium-sized sellers, it is the key to counter-attack in the new market to focus on long-tail keywords that are easier to compete with small traffic to enter the market segment and improve the conversion rate of traffic.

Filter conditions: Select a first-level category or enter the core keywords of a category. The minimum number of words is set to 3, and the long-tail market segments under this category can be filtered out.

(The picture comes from the keyword selection of the seller wizard)

Micro-select products, select an example, integrate the data of all active-selling products on Amazon, and help sellers discover products through filtering conditions such as sales growth rate, review growth rate, etc.

11. Select products based on product potential

The best potential market is one with high demand and low competition. But finding such a market would be too idealistic. Therefore, as the next best thing, we can screen out the "potential stocks" products that are not too "explosive" at present, but have rising potential in the future.

Filter conditions: Set monthly sales <600, monthly sales growth rate>10%, and the launch date is nearly half a year. The monthly sales are not too big at present but are on the growth trend. The short time on the shelves means that new products can also enter the market in a short period of time, which is suitable for small and medium-sized trade sellers.

(The picture comes from the product selected by the seller wizard)

12. Select products based on product maturity

Factory sellers generally have strong production and R&D capabilities, but due to the limitations of the production line, the product categories are often relatively single. Therefore, it is recommended that such sellers conduct in-depth research on their own categories, for example, they can conduct detailed analysis in combination with the review analysis of the seller wizard. Based on the maturity of the product, including the detailed attributes of material, size, color, style, etc., find the areas that can be improved, fully understand the quality of the product and buyers' demands, and then upgrade the product or make a difference in product details. .

Filter conditions: monthly sales > 1000, rating value < 3.7, the overall sales of this type of product is good, but the rating is poor, indicating that the product has a certain room for improvement.

(The picture comes from the product selected by the seller wizard)

13. Selection of products based on capital turnover

The birth of a popular model is often based on the failure of many tests. For those slow-moving products that have been dusted in Amazon's warehouse, they are unwilling to give up, and they are unwilling to give up and worry about high storage costs. What's even more tragic is that the product sales are good, but the profits are all in the inventory, especially when stocking in the peak season, capital turnover is still a pain for small and medium-sized sellers. So if you are new to Amazon and want to practice your skills or want to try resale sales with zero inventory, you might as well try this type of product.

Filter conditions: monthly sales > 1000, and the delivery method is FBM. Products that have a certain sales volume but are mainly self-delivery under a certain category can be filtered out.

(The picture comes from the product selected by the seller wizard)

14. Selection based on speculative market

For some new stores that have no traffic or even a shopping cart, co-selling is also a good way to attract traffic. The skinny camel is bigger than the horse, and even if there are multiple co-selling sellers, the cake can be distributed if the sales volume is large.

Filter conditions: monthly sales>1000, number of sellers>3. Generally speaking, products with brands, copyrights, or patents on Amazon cannot be sold with you. This condition can preliminarily filter out products that sell well under a certain category and are allowed to sell with you.

(The picture comes from the product selected by the seller wizard)

15. Select products based on after-sales cost

This type of product has a certain amount of sales, but the ranking is not too high, and it is not easy to be targeted by other sellers. And a higher score and fewer questions and answers indicate that the product is simple and easy to operate, and there are fewer after-sales problems. Suitable for general shop, fine shop sellers.

Filtering conditions: monthly sales>1000, BSR ranking in the range of 5000~10000, score value>4.0, Q&A number <5, products with good sales and low after-sales costs can be screened out.

(The picture comes from the product selected by the seller wizard)

16. Selection of potential products based on the list

A product that can enter the Amazon list shows that its product potential has been recognized by the market; the short time on the shelf and the less accumulation of ratings leave room for new sellers to enter.

Filtering conditions: Select one of your own advantageous categories on the Amazon list page, and use the seller wizard plugin to filter out products that have been on the shelves for nearly 3 months and have a score of <50.

(The picture comes from the seller wizard plugin)

17. Based on the new monitoring products on the store

For competitive stores, their product selections are carefully considered, and the probability of pushing them is high. Their products are still in the cradle state to follow up, and they are more able to seize market opportunities than follow up after they are sold out.

Screening conditions: By monitoring the daily updates of excellent benchmark stores, analyze and select the most potential products for follow-up, which is more suitable for sellers with strong supply chains.

(The picture comes from the new monitoring of the seller's wizard plugged into the store)

18. New monitoring products based on the brand

Similar to the new monitoring on the store, it is more suitable for sellers with strong supply chains. However, it may involve issues such as brand infringement, and it is necessary to make differences in product details.

Filter conditions: Enter the brand name, sort the query results in descending order of the time of listing, and you can get the latest products under the brand.

(The picture comes from the seller's wizard to check the competing products)

19. Selection based on product size

The shipping weight and size of the product determine the Amazon FBA fulfillment fee, which is also an important expense in the cost of the product. For general small and medium sellers, it is suitable for light and small products or standard size products (small standard size, large standard size), with low delivery costs and low initial investment costs.

If you have the advantage of logistics or overseas warehouse, you can choose large-scale products, the threshold is higher, but the competition will be much smaller.

Screening conditions: monthly sales > 1000 (there is enough market demand), choose different product sizes according to your own needs, and large-scale products can be superimposed with the FBM distribution method.

(The picture comes from the product selected by the seller wizard)

20. Select products based on Listing quality

Listing Quality Score, Listing Quality Score. Calculation method: The score obtained from the quality analysis of Listing from the three dimensions of product image, product description and evaluation. The higher the score, the better the listing quality. (10 points out of 10)

The more detailed the title and five-point description of the listing, the higher the proportion of products on the A+ page, and the more beautiful the pictures, the more mature the opponent, the stronger the seller's brand awareness, and the higher the market competition. On the contrary, if the listing quality is not high, but the sales volume is still high, it means that it is a potential product with high demand and low competition.

Screening conditions: monthly sales > 1000, LQS < 5, we can filter out products with a certain sales volume under a certain category, and the listing quality is poor, and surpass it by comparing and optimizing the listing.

(The picture comes from the product selected by the seller wizard)

21. Select products based on seller type

Amazon owns the most complete and latest trend data of Amazon, and can be said to be the “seller” who understands the market demand best. It is good to enjoy the shade under the big tree, and you may be able to share a "soup" with the Amazon.

Filter conditions: Select a first-level category, set the delivery method to AMZ (Amazon self-operated), and set the launch date to nearly 3 months.

(The picture comes from the product selected by the seller wizard)

22. Selection based on small profits but quick turnover

Low-priced products require less capital, and the trial and error costs and risks are relatively small. But at the same time need to have enough sales support to earn considerable profits. The number of ratings is small, and the marketing cost that needs to be invested in the early stage is lower, and it is easier for new sellers to catch up or surpass.

Filter conditions: monthly sales > 3000, number of ratings < 100, price < $ 10.

(The picture comes from the product selected by the seller wizard)

23. Select products based on vertical categories

If the seller is interested in a certain category of products and already has a certain resource advantage, he can choose to dig deeper into the category. When focusing on a sub-category, on the one hand, it can better grasp the pain points of users, on the other hand, it can help sellers to accumulate experience, accumulate users, concentrate resources, reduce supply chain costs, and create their own competition barriers. It can also lay the foundation for product differentiation and research and development.

For example, a seller of a mobile phone desktop stand can expand to a mobile phone stand with storage function, or a floor mobile phone stand that meets different usage scenarios.

Filter conditions: Enter the product ASIN in the [Traffic Analysis] function, and click similar products to quickly filter out related products.

(The picture comes from the flow analysis of the seller wizard)

24. Selection based on product portfolio

For example, sellers of yoga mats can expand to sports water cups, yoga blocks and other products. The simultaneous layout of these product lines by sellers is conducive to creating a closed-loop product flow, because they all meet the different needs of the same user groups in the same scenario.

Filter conditions: Enter the product ASIN in the [Traffic Analysis] function, and click the combination to buy, you can quickly filter out complementary products.

(The picture comes from the flow analysis of the seller wizard)

Each category node of Amazon is essentially a market segment. By comparing, analyzing and filtering data indicators of various dimensions in multiple markets, it helps sellers select the most suitable market segment for their own positioning and advantages.

25. Product selection based on market monopoly

Listing monopoly, brand monopoly, and seller monopoly are generally reflected in the products in a certain market segment. The sales of listings, brands and sellers with better performance account for the proportion of sales. If the sales in the market are concentrated in a small number of certain Among several listings, brands or sellers, it means that the market has a high monopoly. Generally speaking, the lower the concentration, the more scattered the distribution of sales, the less competition, and the more chance of breakthrough.

Filter conditions: Set the filter conditions in the market competition indicators of the [Select Market] function: the maximum value of product concentration, brand concentration, and seller concentration is 80%. Or directly arrange the query results in ascending order of concentration, which can quickly filter out the low-competitive market segments under a certain category.

(The picture comes from the seller's wizard market)

(The picture comes from the seller's wizard market)

26. Select products based on market fluctuations

The greater the market volatility, the faster the product update and iteration, the more friendly to the entry of new products. However, because it may also be an immature market, new products will easily be out of the market because the profit does not meet expectations. There are also some market segments with a large number of new products, but the product life cycle will be short, such as clothing, and new styles are constantly being introduced. It is not recommended for novice sellers to enter this type of market without in-depth understanding.

Through the performance of new products in a certain market segment, you can roughly judge the difficulty of new sellers entering the market and the difficulty of survival.

Filter conditions: Under the [Select Market] function, after selecting a major category or a second-level category, the query results are sorted in descending order by the number of new products.

The larger the proportion of new products, the greater the market opportunity and the ability to quickly identify potential markets.

(The picture comes from the seller's wizard market)