The year 2025 has arrived, and it's time to lay out new products! As a new seller, do you often have a headache in selecting products? Don't worry, today Ai is going to share the "Six Steps to Product Selection Process" that she has summarized, so that you can easily find explosive products and amaze everyone!
Step 1: Positioning and Segmentation
Did you know? Many cross-border e-commerce sellers make a mistake in the first step of product selection! A category like "Bathroom Storage" is not a sub-category, it contains many sub-categories such as Towel Storage, Cosmetic Storage, etc. To be successful, you must first find a category with high market demand. If you want to be successful, you must first find a sub-category with high market demand.
Step 2: Use the Opportunity Finder to Find Potential Products
Amazon's official selection tool, Opportunity Finder, is a secret weapon for cross-border brand owners! It is centered on niche market search terms and can help sellers tap into unmet overseas consumer demand. When selecting, pay special attention to those categories with high sales potential scores and high search volume. For example, as a small seller, Ai is more interested in categories with higher unit prices. I don't know how many other Taiwanese sellers are not taking advantage of this powerful tool!
Step 3: Pinpoint your core keywords
Here's a little-known trick! Sellers of branded products can use the brand analysis ABA tool on the seller's platform to find out the most common search terms used by consumers in the sub-categories. For example, Ai searched for "toilet" and found that the keyword "over the toilet storage" ranked high in search frequency and was related to storage shelves. It is important to select the keywords with higher SFR, which are the most commonly searched terms by consumers, and the higher the ranking, the bigger the market is.
Step 4: Verify Keyword Relevance on Frontend
This may seem like a simple step, but it's one that many Amazon Global Store sellers tend to overlook! Once you're in the front office, search for "over the toilet storage" and make sure the search results match your target products. If more than three-quarters of the products displayed on the first page of the search results are similar to the target product, then the keyword is accurate; otherwise, you need to readjust. This validation step will save you a lot of trouble down the road!
Step 5: Scientific Collection of Competition Data
The biggest problem is that many people don't know how to collect data correctly! Ai suggests to collect only the first three pages of natural data under the core words, including 13 key indicators such as title, major BSR, minor BSR, current price, and so on. This can be done by copying and pasting manually or by using third-party assistive software. However, it is important to note that not all natural bits need to be collected, and those products with different usage contexts should be excluded.
Step 6: Analyze the data in depth to identify market opportunities
This step is the key to truly differentiate between professional cross-border sellers and amateurs! By analyzing the total demand, average demand, self-owned share, new product share, brand share and price range, you can clearly see the real situation of the market. For example, in the case analyzed by Ai, the Home&Kitchen category ranked 838, indicating a good market space; the self-supporting share is only 33.52%, which is very friendly to novice sellers; however, the share of new products is only 7.84%, which indicates that there are certain requirements for the operation ability.
Remember, as a new seller, you also need to pay special attention to profit margins. If margins are too thin or if there is a clear monopoly in the product selection area, it may not be worth the effort to enter. This six-step selection process is not only scientific and efficient, it's the key to your success on Amazon!
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# Amazon Selection Methods # Cross-border E-commerce Tips # Taiwan Sellers # Data Analysis # Market Insight # Amazon Global Store Opening # Product Research # E-commerce Startups
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