Boost your product's ranking on Amazon with our ultimate guide to Best Seller Rank, metrics and algorithms that increase conversions and sales.
Jens Vittrup
When selling products on Amazon, it can be challenging to understand how your products are performing compared to competitors. In this guide, we dive into the most important listing metrics and ranking parameters every Amazon seller should know. Amazon uses a complex system to rank products, and by understanding this system, you can improve your products’ visibility and increase your sales figures.
Amazon uses various metrics to assess how your product is performing, and the best known is undoubtedly the Amazon Best Sellers Rank (BSR). But there’s much more to understand, including how Amazon’s algorithm works and how you can optimise your product listings to achieve higher positions in the search results.
Amazon Best Seller Rank, also known as BSR or Amazon sales rank, is a numerical value indicating how well a product sells relative to other products in the same category. The lower the BSR value, the better the product is selling. For example, a BSR of 1 means the product is the top seller in its category.
BSR directly reflects a product’s sales history compared to other products in the same category. It is updated hourly and takes into account both recent and historical sales data, giving sellers an indication of the product’s competitiveness in the market.
It is important to note that BSR is category-specific, which means a product may have different BSR values in different categories. For example, a book may have a BSR of 5,000 in the ‘Books’ category but a BSR of 50 in the ‘Historical Fiction’ subcategory. This means a product can be on the Amazon best seller list in one category, but not in another.
Amazon has never officially disclosed the precise formula for calculating BSR, but based on sellers’ experience and observations, we know the following factors play a role:
There is no official Amazon BSR calculator, but several third-party tools attempt to estimate BSR based on available data. These tools can provide an approximate indication, but cannot guarantee exact results, as Amazon’s algorithm is constantly changing.
If you want to understand the significance of BSR for your business, remember that it is a relative measurement. A good BSR depends on the category – in competitive categories a BSR of 10,000 might be good, whereas in smaller categories even a BSR of 1,000 could be unsatisfactory.
The question of what is a good BSR on Amazon depends on various factors, including product category, market competition and your business goals. In general, a lower BSR is considered better, as it indicates higher sales, but what constitutes a ‘good’ BSR varies significantly across different categories.
In highly competitive categories like electronics or books, a BSR below 10,000 is considered good. In less competitive niche categories, a BSR below 1,000 may be required to be seen as excellent. This explains why the answer to what is a good Amazon sales rank is not straightforward.
To understand the significance of BSR for your specific product, it can be useful to compare your BSR to similar products in your category. This provides a more relevant benchmark for how your product is performing against direct competitors.
Here are some general guidelines for BSR significance within different categories:
Remember, these are only indicative figures – what constitutes a good BSR depends on your specific product category and business goals.
Amazon conversion rate is the percentage of visitors who end up purchasing your product after viewing your product page. This metric is crucial for your success on Amazon, as it not only affects your direct revenue, but also how Amazon ranks your product in the search results.
A high conversion rate signals to Amazon’s algorithm that your product is relevant and valuable to customers, which can improve your position in the search results. What is a good conversion rate on Amazon? Generally, a conversion rate of 10-15% is considered good on Amazon, although this can vary depending on product category and price level.
To improve your conversion rate, you should focus on optimising the following elements of your product listing:
By improving these elements, you can increase your conversion rate and thereby enhance your Amazon product ranking in the search results.
Amazon’s product ranking algorithm, also known as A10 (the successor to the previous A9 algorithm), determines which products appear first when customers search for specific keywords. Understanding how this Amazon ranking algorithm works is crucial to improving your products’ visibility.
Unlike traditional search engines like Google, Amazon’s algorithm primarily focuses on sales conversion. Amazon is first and foremost an e-commerce platform, and its goal is to display products with the highest probability of generating sales.
Amazon’s ranking system takes into account a number of different factors to decide which products should be shown at the top of the search results:
Understanding these Amazon ranking factors gives you the opportunity to strategically optimise your product listings. For example, you can focus on improving aspects of your listing that specifically influence conversion rate, such as product images and descriptions.
Tracking how many visitors view your product listing is essential for understanding how your product is performing on Amazon. But how do you check Amazon listing views? The most reliable method is to use Amazon Seller Central’s built-in tools.
To see how many views your Amazon listing has, follow these steps:
These reports give you a detailed overview of how customers interact with your product listings. You can see how Amazon listing traffic develops over time, which is helpful for identifying trends or seasonal fluctuations.
By analysing this data, you can answer questions such as how do I see how many views my Amazon listing has and use these insights to optimise your product listings and marketing strategies.
When you create a new product listing on Amazon, it can be frustrating to wait for it to become visible to potential customers. How long does it take for an Amazon listing to appear in the search results? Typically, new product listings become visible in Amazon’s catalogue within 15 minutes to 24 hours after creation, but several factors can affect this timeframe.
For standard products already existing in Amazon’s catalogue with an existing ASIN, your listing will often be visible within a few hours. For entirely new products requiring the creation of a new ASIN, the process may take longer – often up to 24-48 hours, while Amazon reviews the product information.
However, visibility in the search results is another matter. Even after your listing is live in Amazon’s catalogue, it may take time to build up the necessary sales history and momentum to rank well in relevant searches. This is where patience and strategic optimisation come into play.
It’s also worth noting that how long it takes for your Amazon listing to appear in Google search results is a completely different process, depending on Google’s indexing times and can take anywhere from several days to weeks.
Amazon product analysis involves systematically collecting and evaluating data related to your products’ performance on Amazon. By conducting thorough product analysis, you can gain valuable insights that help you make data-driven decisions to improve your product listings and increase sales.
An effective Amazon product analysis should include the following elements:
There are many third-party tools that can help with Amazon product analysis, including Jungle Scout, Helium 10 and AMZScout. These tools provide in-depth insights into product performance, competitor analysis and market trends.
By using the data from your product analysis, you can improve your product listings, adjust your prices, optimise your Amazon ads and ultimately increase your sales and profitability.
Improving the Amazon search rank for your products requires a strategic approach that takes into account the many factors influencing Amazon’s ranking algorithm. Here is a detailed guide to ranking your Amazon listing more effectively:
Keywords are the foundation of all search engine optimisation, including on Amazon. To improve your ranking you should:
Remember that keyword stuffing can have a negative impact – focus on including keywords in a natural and relevant way.
Amazon rewards products with high conversion rates. To improve your conversion rate:
Customer reviews are a key ranking factor. To increase the number and quality of your reviews:
Sales history is a powerful ranking factor. To increase your sales:
By following these strategies, you can gradually improve your ranking on Amazon. Remember, how to rank your Amazon listing is a continuous process that requires regular monitoring, analysis and adjustment of your strategy based on performance data.
For serious Amazon sellers, it is not enough just to know your current BSR – you need to track changes over time to identify trends and opportunities. Here is how you can implement advanced Amazon sales rank tracking:
There are several third-party tools that can help you track your BSR over time:
These tools can provide valuable insights into how your BSR changes in relation to seasonal trends, promotions or competitor activity.
To get the most out of your BSR tracking, you should analyse it alongside other key metrics:
By combining BSR data with these other metrics, you can develop a more holistic understanding of your product’s performance and identify specific actions that can improve your BSR.
Remember, the goal is not just to improve your BSR for its own sake, but to use it as an indicator of overall product success and sales performance. An improved BSR is typically the result of a successful holistic Amazon strategy that includes product optimisation, pricing strategies, customer engagement and marketing efforts.
Although this topic is technically independent from Amazon’s internal ranking system, it can be valuable to understand how Google indexes and ranks Amazon product pages. This can provide an additional source of traffic to your products.
Google treats Amazon product pages like any other webpage in its index. Therefore, basic SEO principles (Search Engine Optimization) can be applied:
It is important to note that you have limited control over how Amazon’s product pages are structured for Google’s crawler. However, Amazon continuously optimizes their pages for Google, so by following Amazon’s best practices for product optimization, you indirectly benefit from their Google optimization efforts.
Additionally, you might consider working with Amazon consultants who have expertise in both Amazon SEO and traditional Google SEO to maximize your visibility across both platforms.
Knowing how to analyse and interpret data from your Amazon product listings is essential for long-term success. Here is how you can implement an effective analysis process:
Before you start your analysis, identify which metrics are most relevant to your business goals:
By defining your KPIs, you can focus your analysis on the metrics that have the greatest impact on your business success.
Continuous monitoring is key to spotting issues or opportunities early:
This layered approach ensures you capture daily fluctuations while maintaining an overall strategic perspective.
Raw data can be overwhelming. Use these tools to gain meaningful insights:
Visualising your data can reveal patterns and trends that are not immediately obvious in raw numbers.
By implementing these analysis practices, you can take advantage of the wealth of data Amazon provides and use these insights to continuously improve your product listings’ performance and optimise your overall Amazon business strategy.
Best Sellers Rank (BSR) is not just useful for tracking the performance of your own products – it can also be a powerful tool for identifying new market and niche opportunities. Here is how to use BSR strategically in your product research:
By analysing BSR across different categories and subcategories, you can uncover areas with high demand but limited competition:
When you understand what BSR means in the context of different product categories, you can better assess which niches represent real opportunities.
BSR can provide insights into the level of competition within a niche:
By understanding the significance of BSR on Amazon in relation to competition, you can better assess market opportunities.
Although Amazon does not publish exact sales figures, BSR can be used to estimate potential sales volume:
This type of analysis can provide valuable insights into how much sales volume you can expect if you launch a similar product and achieve a comparable BSR position.
By using BSR as a strategic research tool, you can make more informed decisions about product expansions, new product launches and market strategies, giving you a competitive edge on the increasingly competitive Amazon marketplace.
Improving your BSR and product ranking on Amazon is an ongoing process that requires a holistic approach. Here are some final tips to help you optimise your performance:
Amazon’s marketplace is dynamic, and strategies that work today may not be effective tomorrow:
Being proactive with ongoing optimisation can give you a lasting advantage over competitors who take a more static approach.
While it is tempting to focus solely on quick BSR improvements, long-term success on Amazon depends on a balanced approach:
By balancing short-term tactical optimisation with long-term strategic brand building, you can create a more robust and sustainable Amazon business.
The most successful Amazon sellers base their decisions on data, not assumptions:
Data-driven decisions reduce risk and increase the likelihood of success in your Amazon business journey.
By consistently applying these strategies and adapting them to your specific product niche, you can improve your Amazon Best Seller Rank, increase your visibility in the search results and ultimately drive growth in your Amazon business. Remember, success on Amazon does not happen overnight – it is the result of continuous optimisation, strategic thinking and data-driven decision making.
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