How to use Amazon data for efficient product selection

Amazon, as one of the world’s largest e-commerce platforms, provides sellers with rich data resources, which can help sellers make better product selections. This article will integrate relevant knowledge from Amazon site data selection, digital product selection methods, product data analysis and other perspectives to help sellers use Amazon data to select products efficiently.

1. Use Amazon site data to select products

1. Amazon Search

• Use the search function: Discover popular long-tail words and find market opportunities.
• Enter category filtering: Products with high rankings and fewer reviews may be high-quality products.

2. Amazon Best Sellers

• Research hot-selling products: Assess your ability to operate these products.

3. Amazon Hot New Releases

• Focus on new products: These products usually have new features and are popular among users.

4. Amazon Sales Soaring List (Amazon Movers & Shakers)

• Observe trend fluctuations: Green arrows indicate rising popularity, red arrows indicate falling popularity.

5. Amazon Most Wished For

• Refer to future hot-selling items: Remind consumers via email when there is a discount.

6. Amazon Gift Ideas

• Holiday Sales: Sales of these products increase significantly.

2. Digital product selection method

1. Keyword selection

• Logical analysis: Analyze the product ASIN, shelf date, ranking and other information under the keyword search results.
• Small batch purchasing: Purchase small batches through 1688 or the supply chain, and then send FBA after confirming the quality.

3. Product data analysis

1. Determine the categories for comparison

• Horizontal data accumulation: Compare sales at different time points and time periods.

2. Concatenate data in different time dimensions

• Trend Analysis: Display data trends in the form of charts.

3. Link different project data

• Comprehensive comparison: Sales volume growth is compared with sales growth.

4. How to obtain Amazon product selection data

1. Third-party Amazon data analysis tools

• Basic usage: Master the basic usage to obtain data.

2. Crawler software

• Technical requirements: Certain programming skills and computer technology skills are required.

3. keepa

• Data tracking: Price changes for all LISTINGs and ranking changes for all products.

4. Amazon backend

• ASIN acquisition: Search for a fixed category in the background, find the target product, and obtain the ASIN of the product.

5. Amazon product selection data analysis

1. Return on investment

• Importance: Products with a good return on investment are far better than products with high profit margins.

2. Product profit margin

• Price Band: Product pricing needs to consider cost, freight, advertising fees, postage, storage fees, etc.

3. Competitors

• Number of reviews: Competitors with less than 100-150 reviews are easier to beat.

4. Keyword search volume

• Market demand: The search volume of product keywords reflects market demand.

Conclusion

Through the above methods, sellers can more effectively utilize the data resources of the Amazon platform to select products. Whether you select products through data on the Amazon site or obtain data through third-party tools, detailed data analysis is required to select products that meet market demand. [[1][2][3][10][13]]