What is BSR & is it ACTUALLY Important? (Amazon FBA Product Research)

Understanding Best Sellers Rank (BSR)

In this section, the speaker introduces the concept of Best Sellers Rank (BSR) and explains how it can be used to find profitable products on Amazon.

What is BSR and How to Use It

• BSR stands for Best Sellers Rank and indicates the popularity of a product on Amazon.

• BSR can be used to find profitable products by analyzing trends, seasonality, and sales consistency.

• The speaker uses BSR as a tool for intuition, identifying trending niches, and generating product ideas.

• Helium 10 is a recommended tool for tracking BSR over time.

Exploring Best Selling Products on Amazon

• Amazon's "Best Sellers" section provides insights into top-selling products in various categories.

• Tools like Helium 10, Jungle Scout, or Viral Launch can help analyze BSR data effectively.

• The speaker demonstrates using Helium 10's Chrome extension to view BSR graphs on Amazon product pages.

Analyzing BSR Over Time

• The BSR graph shows how a product's rank fluctuates over time.

• A lower rank indicates higher sales performance within its category.

• Analyzing the ups and downs of the BSR graph helps identify market trends and potential opportunities.

Real-Time Examples: Swimming Pool Toys

• Using the example of swimming pool toys, the speaker navigates through different products' data on Amazon.

• By examining the BSR graph and price changes over time, valuable insights about product performance can be gained.

Timestamps are provided at regular intervals throughout the transcript.

New Section

This section discusses the sales rank and seasonality of a product, as well as the impact of running out of stock.

Sales Rank and Seasonality

• The sales rank of a product can indicate its popularity and demand.

• A dip in sales rank may suggest that the product ran out of stock.

• Seasonal products, such as swimming pool items, may experience fluctuations in sales rank during different times of the year.

• Analyzing the sales rank over time can help identify seasonal trends.

Example: Inflatable Pool Float

• Examining the history of a specific product, such as an inflatable pool float, reveals seasonal patterns.

• Drops in sales rank during summer months indicate increased demand.

• Running out of stock can be observed through troughs in the sales rank graph.

• Identifying seasonal products and periods when they run out of stock can inform inventory management decisions.

Example: Earns (Unclear Product)

• The last 30 days show steady sales for this product.

• Consistency in sales is desirable, with minimal ups and downs on the graph indicating stable performance.

• Examining the entire history reveals inconsistent sales with significant fluctuations.

• Large ups and downs suggest sporadic or irregular sales patterns.

• Higher BSR (Best Sellers Rank) indicates lower overall sales performance.

Tight Grouping Indicates Stock Availability

• A tight grouping on the graph suggests that a product recently went out of stock and then returned to availability.

• When a product goes out of stock, its BSR may increase due to decreased sales activity.

Overall, analyzing historical data on sales ranks can provide insights into seasonality, stock availability, and overall performance.

Analyzing Sales Patterns

In this section, the speaker discusses the sales patterns of a product and highlights the importance of consistency in sales.

Understanding Sales Patterns

• The speaker observes that there are days with no sales at all, followed by a sudden spike in sales.

Analyzing Sales Patterns

In this section, the speaker discusses the sales patterns of a product and highlights the importance of consistency in sales.

Understanding Sales Patterns

• The speaker observes that there are days with no sales, followed by a sudden spike in sales.

• A significant drop in sales rankings indicates low sales volume, possibly selling only one unit every 48 hours or even a week.

• Inconsistency in sales is considered a red flag and suggests poor performance.

Interpreting Sales Data

• The speaker explains that when there is a large gap between sales, it indicates minimal sales activity.

• The graph shows occasional spikes which may represent two to three sales, but overall inconsistency remains evident.

• A sudden increase in sales could be due to running out of stock temporarily.

• Consistency and a downward trend in the graph are desirable indicators of successful product performance.

Checking Product Popularity and Market Trends

This section focuses on evaluating product popularity over time and understanding market trends using different tools.

Evaluating Product Popularity

• The speaker mentions using Helium 10 to check for estimated monthly sales data.

• Comparing the estimated monthly sales figures reveals significant differences between products' performances.

• The example shows one product with an estimated 70,000 monthly sales compared to others with much lower numbers.

Assessing Market Trends

• While Best Sellers Rank (BSR) varies across categories, consistency is still crucial.

• Google Trends can provide insights into whether a product's popularity is trending or if it has simply outpaced the market.

• Examining search volume over time helps determine if there is an increasing trend or if it remains steady.

Analyzing Google Trends Data

This section explores the use of Google Trends to analyze search volume and understand product trends.

Analyzing Search Volume

• The speaker uses the keyword "earn" as an example to demonstrate how to analyze search volume on Google Trends.

• Over the past five years, the search volume for "earn" has remained relatively steady with some fluctuations.

• While there is a slight upward trend, it does not indicate a significant increase in popularity.

Conclusion

The transcript provides insights into analyzing sales patterns, evaluating product popularity, and understanding market trends. It emphasizes the importance of consistency in sales and highlights tools like Helium 10 and Google Trends for data analysis. By examining sales data and market trends, sellers can make informed decisions about product selection and potential success on platforms like Amazon.