Unveiling 6 Methods of Analyzing Amazon’s Performance of Multi-Variation Product Sales

6 Methods for Analyzing Amazon's Multi-Variation Product Sales Performance

Amazon’s variation products refer to multiple product variations with similar characteristics but slight differences displayed on the same product page. These variations are usually based on different product attributes, such as color, size, style, and package quantity. The advantage of variation products is that they can concentrate the sales of different variations on the same product page, simplifying the buyer’s shopping experience.

Amazon’s BSR category rankings assigned to each variation are usually shared, and data software mainly calculates sales based on the product’s BSR category ranking. This also means that Amazon data software on the market cannot directly calculate the sales of each variation. For the sales performance analysis of variation products, sellers can take the following steps:

  • Data collection: Use the reports and tools provided by Amazon Seller Central to collect sales data for each variation of similar products sold, including sales, sales volume, return rate, etc. This data can be obtained through report downloads or the sales dashboard in Seller Central. Then, analyze which variation of this type of product may be more popular with customers.

  • Variation comparison: Compare the sales performance of different variations and observe the differences in sales, sales volume, and profit.

  • Pricing analysis: Analyze the pricing strategy and level of different variations, and observe the impact of prices on sales performance. Understand whether price differences lead to better or worse sales of certain variations, and whether pricing strategies need to be adjusted. For example, all other conditions being equal, variations with lower prices usually sell better.

  • Evaluation and feedback analysis: Pay attention to the evaluation and feedback of each variation, and understand the satisfaction and opinions of consumers on different variations. Consumer feedback can provide information on product quality, packaging, functionality, etc., which can help improve products and enhance the consumer experience.

  • Market trend analysis: Observe the sales trends and competitive situation of similar product variations in the market. Understanding the performance of competitor’s variation products and the demand and trends in the market can help optimize product positioning and marketing strategies.

  • Keyword data: Use the JS keyword ASIN reverse lookup function to check whether the keyword with high search volume for this product contains elements of variations, such as color, quantity, size, material, etc. Analyze which variation has a greater market demand by searching the keyword search volume.

How to use JS plugins and web pages to research information on multi-variant products? The following are the analysis steps:

1. On a single product detail page, click on the plugin to download comments.

2. Copy and paste the comments that were just downloaded into the comment auto-analysis template.

3. The template will automatically calculate and display multiple data analysis results, including the number and percentage of reviews for each variant, the proportion of positive and negative reviews, the trend of review growth, and user statistics for reviews. Below are some example template images:

Number and percentage of reviews for each variant

Review growth trend

Analyze the dimension of the country/region of the users who left reviews to determine whether the ASIN is being sold on multiple sites.

Open the web version keyword function to search for the ASIN of the product.

We can compare and analyze the keywords that contain variant information (colors, sizes, styles, quantities, etc.) that are ranked higher in search volume. Being ranked higher means that the corresponding variant may receive more exposure and clicks, resulting in better sales performance.

When researching products, analyzing the sales performance of different variants can help sellers:

  • Understand market competition: Analyzing the sales performance of different variants can help sellers understand the competition situation of similar products in the market. By comparing sales, volume, and ranking indicators of different variants, sellers can assess the degree of competition in the market and evaluate the competitiveness of their products in the market.

  • Determine popular variants: By analyzing the sales performance of different variants, sellers can determine which variants perform well in the market and are popular among consumers. This can help sellers choose the most potential and market-demanding variants to increase sales and profits.

  • Optimize product strategies: By analyzing the sales performance of different variants, sellers can understand the market acceptance and consumer preferences of different variants. This helps sellers optimize product design, pricing strategies, sales promotion, and market positioning to better meet consumer needs and improve product sales performance.

  • Discover opportunities for product differentiation: By analyzing the sales performance of different variants, sellers can discover opportunities for product differentiation. Different variants may have differences in functionality, design, packaging, or positioning. Sellers can launch variant products with differentiated advantages for different target customer groups based on market demand and consumer preferences, thereby improving market competitiveness.

  • Adjust inventory and supply chain: Analyzing the sales performance of different variants can help sellers understand the demand and sales trends of different variants. This helps sellers adjust inventory and supply chain management reasonably to ensure sufficient inventory to meet demand and avoid excessive unsold inventory.

The above usage tips hope to provide greater assistance to sellers in conducting product research analysis. For automatic analysis template acquisition and more usage tips, please scan the code to contact JS product experts.

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