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I am just borrowing flowers to offer to Buddha. In a live broadcast of Zhiwubuyan, I found that Teacher Chen talked about calculating the conversion rate of keywords through business opportunity detectors (it is still very worth referring to)
Conversion rate = order quantity/click quantity. We only need to calculate order quantity and click quantity. Let's continue reading.
I use the word air fryer liners as an example, search for it in the business opportunity detector and click on this keyword
You can get the search volume, 180-day search trend, the products with the most clicks (indicates that these 27 products occupy the vast majority of this keyword), average price, average number of sales, and return rate.
How to calculate clicks and orders Next, click the download button to get the table of 1. Detailed product tab
Next, go to the search term page
Click the Download button to get the table of 2. Detailed Search Term Tab.
Next, we process the data and merge the useful data from the two tables into one table. By calculation, these 27 products occupy 99.89% of the market, so we will analyze this majority of the market.
Clicks = Total clicks in the segment * Click share (past 360 days)
Order volume = search volume (past 360 days) * search conversion rate (past 360 days)
Through simple calculations, we finally get the keyword conversion rate. It may not be what we want, but it is a core word and is worth referring to! (I will put the calculation table in the attachment, you can jump to the original text to download)
"Wonderful Reply" Agree with: Yijuhui, Cool 1234, Scallion Little Chef, Fengyueqinghuaiyibigou, Mistersnowwell More » Thank you very much for sharing. In fact, after the product detector and brand analysis functions were launched in 2021, we have developed the formula for Amazon product conversion rate.
The specific formula is: Competitive product conversion rate / industry average conversion rate = Competitive product click-through rate / industry average click-through rate
You can find the specific derivation principle on Google. There is a lot of data analyzing this. If you combine it with the niche data on the product detector, you can know the average conversion rate of most products.
However, this method will become invalid after 2022, because the sales volume measured by the product detector is far less than our actual estimated sales volume. That is to say, Amazon may have artificially concealed part of the sales data of the product detector, causing a factor in our formula to become invalid.
The average conversion rate calculated by our clothing industry is below 2%, but this is a very unrealistic figure. It is only for reference by the answerer and others. Agree from: Plato227, JJJosie, Yashuge, Meilaoba, Stucky more » This is just the data for a single Niche, so there are some data that are not included in the Niche. After all, Amazon Niche allocation is sometimes confusing. The general keyword conversion rate can be calculated by going to the Amazon Search Query Performance under Brand Analysis and using the ASIN dimension report:
Search Funnel - Purchases (keyword sales) divided by Search Funnel - Clicks (keyword clicks) is the click-through conversion rate. Of course, you can also calculate the exposure conversion rate, exposure click-through rate, and compare the market with your own ASIN. Summer is not the season • Xiamen • 2024-01-19 10:51 Is the data here for the entire platform? I found an ASIN and tried the data for one month. It seems that the purchase volume of some big words is very low. Yashuge • Hangzhou • 2024-01-19 13:24 Yes, just select specific representative products. This is more suitable for reference of keyword conversion rate of products in the early stage! Black coffee is not bitter • Shenzhen • 2024-01-19 17:03 Business opportunity detection is indeed inaccurate. For example, when I searched for a certain market segment, the number of products displayed was only about 50, but in fact there were more than 100. Give me back my electric car • Xiamen • 2024-01-19 17:17 @情非得夏: The data here is not for all platforms. You can look at its statistical scope → search term performance Fairy tale of the years or a joke • Shenzhen • 2024-01-22 18:58 The search term performance is only the rest of the search results and the first line of the homepage, not including the display clicks and orders of the product page, which will be different from the actual situation. And it only shows the data of the ASIN you searched, not the data of this term. South South East • Dongguan • 2024-06-20 18:26 @黑咖啡不苦: Those product numbers refer to the top 90% of products in terms of click volume at a certain time. Black coffee is not bitter • Shenzhen • 2024-06-21 10:41 @南南东: Every piece of data is very one-sided. I don't know why anyone would refer to this. It's not as good as ABA. It is a bit strange that your summary table shows that the total search volume (past 360 days) is 8,636,201, which is consistent with the total search volume of 8,636,201 on the first page of the market segment; but the total number of orders is 387,978, which is very different from the number of sold items on the first page of the market segment, which is 600,000-800,000. How can I understand this? It can't be the difference between order volume and sales, which is too big. Definition: Segment Clicks (Last 360 Days) The total number of times a buyer clicked on a product after searching for any search terms in the current segment and returning the product they searched for. So the click volume should be the sum of all product clicks, which can be verified by the sum of click shares approaching 1. The click volume of N columns in the table should be the total click volume directly, without multiplying by the click share. If you have any questions, please correct me and communicate with me. Cross-border people, cross-border souls • Shenzhen • 2024-06-24 15:11 @Carrot0805: The click volume mentioned by the group owner = total click volume of the market segment * click share (past 360 days), it should be the click volume of the individual words in the "Search term" tab under the market segment details = the total click volume of the market segment (the sum of all click volumes under the "Product" tab under the market segment name and market segment details) / the click share of the individual words in the "Search term" tab under the market segment details) Isn't there a search conversion rate now? After the buyer enters this search term and clicks on the product, the purchase volume of any product in this market segment is divided by the total number of times the buyer enters this search term. So the search conversion rate in the business opportunity detector refers to the search conversion rate of this market segment. Because the search term interface already has the corresponding search conversion rate of the corresponding keyword, and there is also a search-to-purchase ratio in the product selection compass, my understanding is the average search conversion rate of all products in this category Hello, I have a question. For example, the word tire inflator has a large monthly search volume according to third-party tools. It is also the most frequently searched word in ABA's popular search terms. It is also the core word for competing products. Why can't I find this word in the business opportunity detector? Even if it appears, it appears in the form of "brand word + tire inflator". Yashuge • Hangzhou • 2024-01-26 17:59 I looked it up and the explanation given by the backend was: I entered a search term, but I received an error message saying that there were no matching niches.
The search term you entered may not have enough search volume and is therefore not yet included in our data set. Consider trying synonyms or other wordings. ABA is indeed ranked high. I guess the system has not captured it. You can check it later. I have a question. The conversion rate calculated by the total orders and total visitors of my specific product in a month is actually much higher than the average daily conversion rate. But for new products that you are not familiar with, you must have a rough reference. The Ape of the Mountain - bestseller player Click volume = total click volume of the market segment * click share (past 360 days); in both tables, the total click volume of the market segment corresponds to ASIN; click share corresponds to search terms, how can the two be multiplied?
Thanks for sharing, but I have a question. I checked my own products according to market segments and found that the products in our categories/market segments are very mixed (different types of products). In this case, can I only see the conversion rate of this category/keyword and not further break it down into the conversion rate of a small type of product? I would like to ask, because the click-through rate in your ASIN dimension table above is 99.89% in total, it is equivalent to covering the entire market. If I use a larger word in our category to search, the share found is only over 40. So, is the current market segment click volume still an accurate reference? Yashuge • Hangzhou • 2024-01-23 15:27 The reference value is not great, it may be a non-standard product, or the traffic is relatively general
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