Introduction of the “Keyword Mining Feature” in ERESA PRO

This feature is achieved through API integration with SellerSprite. Currently, it is in beta version and is available exclusively to annual members of ERESA PRO.

In this article, we will provide a detailed explanation of the “Keyword Mining Feature” of ERESA PRO, which has been realized through API integration with SellerSprite.

Manuel Otake( Eresa CEO)

While this feature is currently in beta, we are planning to update it to the official version by the end of September 2023!

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What is the Keyword Mining Feature?

Keyword mining is a method that involves conducting research related to specific keywords and utilizing it for optimizing online advertising and product listings.

For instance, based on the root keyword “mat,” it becomes possible to explore the demand in segmented markets such as golf mats, outdoor mats, and barbecue mats.

Such data is derived from Amazon users’ search behavior, making it closely tied to the actual market demand.

Furthermore, this data is updated at the beginning of every month, enabling the ability to analyze and strategize based on the most current information.

How to use the keyword mining feature

STEP
Access the keyword mining feature.

Access it through the “Research” menu or the link below.

https://search.eresa.io/keywordMining

STEP
Specify keywords and target period, then conduct the search.
STEP
Related keywords and various data will be displayed.

Explanation of displayed items.

Keyword

The keywords are being displayed. The “AC” icon indicates that there are products with the Amazon’s Choice logo for this keyword in the search results.

Category

The main category of products displayed on the first page of search results for this keyword provides information about which category the keyword-related products are concentrated in. Products are aggregated by category, and the category with the highest number of products is displayed at the top.

For example, with the keyword “Pokémon cards,” the main categories could include “Toys” and “Hobbies,” where a significant number of relevant products might be listed.

This information is useful for understanding market needs for specific keywords and identifying which categories are highly competitive. It can serve as a reference when devising more effective product listings and marketing strategies.


Monthly Search Volume/Daily Average Search Volume

The approximate number of searches for the target keyword per month and per day is displayed.

※*Note: Data for months with low search volume cannot be recorded, so it is displayed as “0/-“.

Monthly Sales Volume/Conversion Rate

The approximate number of monthly sales related to the target keyword is displayed.

The conversion rate is the value obtained by dividing the sales volume by the search volume. It is a metric that quantifies the efficiency from the time a customer inputs a specific search term to the point of purchase.

This calculates the proportion of items clicked and purchased based on the search term in a segmented market, relative to the total search volume for that search term.

For example, consider the keyword “wireless charger.” If this keyword is searched 1.2 million times per month on Amazon, and the number of sales for related products (such as “cable”) is 16,000, then the conversion rate would be 1.33%, calculated by dividing 16,000 (sales volume) by 1.2 million (search volume).

This conversion rate is an important metric for evaluating the effectiveness of marketing strategies and the market acceptance of a product.


SPR

The Sellersprite Product Rank (SPR) is a metric that indicates the projected sales volume required over an 8-day period to maintain a position on the first page of search results for a specific keyword.

For example, if the SPR is 280, you would need to sell at least 280 units of the product over 8 days in order to maintain its position on the first page of search results for that keyword.

A high SPR value indicates that the sales competition for that keyword is intense, and a high volume of sales is required.

Therefore, in order to maintain a high SPR value, it is necessary to carefully consider your sales strategy and set high sales conditions.


Title Density

Title Density is an indicator that shows the number of products on the first page of Amazon search results that include a specific keyword in their title.

For example, if the Title Density is 12, then the first page of search results for that keyword will include the keyword in the titles of 12 products.

This number serves as a reference for understanding how closely related the keyword is to the products, or how competitive the keyword is.


Number of Products

This indicates the total number of related products displayed on Amazon’s search results page when you search for this keyword.

For example, if it displays “1-48 of over 1,000 results for ‘ipad stand’,” this means that there are more than 1,000 products related to “ipad stand.”

However, the number of search results displayed may differ when you search for the same keyword on Amazon. This is because products that cannot be shipped to your region based on your IP address are automatically excluded.

Also, if you conduct a search with an IP address from a different region, the number of search results may change accordingly. This data is useful for understanding market size and competition.

Supply-Demand Ratio

The supply-demand ratio is a numerical representation of the balance between market demand (number of searches) and supply (number of products). This ratio is a very important metric for evaluating competition and the health of a specific market.

The formula is as follows:

Supply-Demand Ratio = Number of Searches (Demand) ÷ Number of Products (Supply)

For example, for the keyword “smartphone holder,” if the monthly search count is 69,465 and the number of products is 14,875, the supply-demand ratio would be 69,465÷14,875=4.769,465÷14,875=4.7.

A higher value indicates that there is high demand in that market and relatively low supply. This could imply that there are many business opportunities and that new products or services are more likely to succeed. On the other hand, if this ratio is low, it is more likely that there is an oversupply and demand is being met, which may mean high barriers to entry for newcomers.

Number of Advertising Competitor Products

The total number of advertised products that appeared within the top three pages of search results for a keyword in the past 7 days is an indicator of the level of competition and market activity for that keyword.

This total number includes SP ads (Sponsored Product ads), HR ads (Headline ads), brand ads, and video ads.

This information is very useful for evaluating marketing strategies and the effectiveness of advertising. Knowing how many ads are running for that keyword can help gauge the level of competition. The greater the total number of advertised products, the more intense the competition for that keyword is likely to be.

Click Concentration

This shows the proportion of clicks garnered by the top three ASINs (Amazon Standard Identification Numbers) in relation to products associated with a specific keyword.

The formula is as follows:

Click Concentration = (Number of Clicks for Top 3 ASINs ÷ Total Number of Clicks) × 100%

This value reflects the degree of monopoly in the submarket for that keyword. The data is based on Amazon ABA’s keyword search report. Generally, the higher the click concentration, the greater the market monopoly for that keyword.

For example, if the click share for the top 3 ASINs is 13.9%, 12.4%, and 11.1%, respectively, then the total click ratio for the top 3 ASINs would be 13.9% + 12.4% + 11.1% = 37.4%.

This kind of information is important for evaluating market competitiveness and strategic positioning. A high click concentration may signify a high barrier to entry for new products or brands, suggesting that a market leader likely already exists.

Conversely, a low click concentration may indicate that a multitude of products are receiving an even distribution of clicks, suggesting that entry for new products or brands may be comparatively easier.

Conversion Total Ratio

In the past week, there is a figure showing the total number of conversions achieved by the top three ASINs (Amazon Standard Identification Numbers) related to a specific keyword. The formula is as follows:

Top 3 ASINs’ Total Conversion Ratio = 18.4% + 10.9% + 5.6% = 34.9%

This number indicates how efficiently the top 3 ASIN products are converting clicks into sales. For example, if the conversion rates for the top 3 ASINs by click number are 18.4%, 10.9%, and 5.6%, respectively, these top 3 ASIN products together would have a total conversion ratio of 34.9%.

Such data is useful for evaluating the competitiveness and performance of each product in the market. A high total conversion ratio indicates that those products are efficiently leading to purchases. Conversely, if this ratio is low, there is a high likelihood that many clicks are not leading to sales, suggesting room for improvement.

PPC Bid Amount

In the context of ad delivery within Amazon, the system provides a recommended bid (Bid) price and its range based on “phrase matching.”

This Bid price quantifies the market’s level of competition and maturity, and it also reflects the necessary marketing costs. Specifically, a high Bid price suggests that there is intense competition for that keyword, or that the market is already highly mature.

When considering an advertising strategy, it is effective to prioritize keywords that are low in competition but high in demand; in other words, keywords with a low bid amount but a high number of searches. Targeting such keywords enables a high ROI (Return on Investment) and efficient advertising activities.

Market Analysis / Star Rating

The “median” of the top products on Amazon’s search results page related to this keyword (Top 3 ASINs by click count) is used as the data source. By clicking on the specific numbers, you can verify information related to the following three important distributions:

Price Distribution: Using this information, you can determine in which price ranges opportunities for price differentiation still exist, and which price ranges are the most competitive.

Review Count Distribution: This distribution reflects the level of difficulty when introducing new products into a specific market. If there are many intervals with medium to low review counts, it can be interpreted that the barrier to entry for new products in the market is not that high.

Star Rating Distribution: This indicates the maturity of the market. If there are many products with a star rating of 4.5 or higher, it suggests that the market is already mature and that the competitive barrier for new products to differentiate themselves is high. Conversely, if many products have a star rating of 3.5 or below, it indicates that there is still room for improvement in the market.

These data points are crucial reference points when planning product listing and marketing strategies.


Upcoming Planned Update Content

  • Data CSV Export Feature
  • Data Sorting and Filtering Functionality
  • Integration with Various ERESA Features
  • AI-driven Analysis

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