Keyword Rankings
Keyword Ranking:Know More About Potential Hot Product Trend in Industry
Data compass newly launch keyword ranking, help merchants understand which products users want most and search most often now; which products are gradually rising in search popularity, help merchants analyze and choose which products are more competitive in the market, which products have explosive potential, select and prepare goods in advance, and optimize products name.

Data compass newly launch keyword ranking, help merchants understand which products users want most and search most often now; which products are gradually rising in search popularity, help merchants analyze and choose which products are more competitive in the market, which products have explosive potential, select and prepare goods in advance, and optimize products name.Core Function
Understand which hot search keyword users on the platform are most care about and which products are most needed by users right now
- In the [Search volume score] TOP keywords, find the keywords with high [Product click score], which means that products related to these keywords lead to strong user willingness to click. Merchants can optimize the titles of related products in the store to make them more easily searchable by users.
- In the [Search volume score] TOP keywords, find the keywords with high [SKU sales score], which means that this part of the keywords is associated with products that users have a high willingness to buy, and merchants can consider providing goods closely associated with this keyword to improve store sales.
- According to the [Product search results] in the Top Search Terms, find the goods with high search popularity but few related goods, to seize the goods gap and create explosive products.
Understand the current trend of user preferences and catch the sales hotspots in advance.
- In [Rising terms], according to [Search volume growth], find the keywords with the fastest increase in hotness compared with the previous period cycle, so that you can plan for seasonal change and new products in advance to meet users' demands.
Understand the current potential market with less competitive goods on the platform.
- In the [Potential terms], combined with [Potential score] and [Search volume score], to find the Potential score high and search heat is also high keywords, the keyword search heat is high and less related goods, merchants can consider the enter the market segment.
Details of Keyword Rankings
Top search terms
Metrics | Explanation | Product display (test account, virtual data, subject to product) |
| Search volume score | The number of keyword searches is normalized to the given time and may not reflect the real data. | ![]() ![]() ![]() |
| Product click score | Clicks of the products shown in search results are normalized to the given time and may not reflect the real data. | |
| SKU sales score | The number of products sold per SKU through keyword searching is normalized to the given time and may not reflect the real data. | |
| Product search results | The number of products shown in search results during the given time. | |
| Avg. price | The average price of products sold per SKU in keyword search results during the given time. | |
| CTR score | The number of product clicks divided by the impressions of products in keyword search results are normalized to the given time and may not reflect the real data. | |
| C_O score | The number of orders per SKU divided by the number of clicks on the products shown in keyword search, are normalized to the given time and may not reflect the real data. |
Rising terms
| Metrics | Explanation | Product display (test account, virtual data, subject to product) |
| Search volume growth | The increase of search volume score for selected keywords during the given time. | ![]() |
| Search volume score | The number of keyword searches is normalized to the given time and may not reflect the real data. | |
| Product click score | Clicks of the products shown in search results are normalized to the given time and may not reflect the real data. | |
| SKU sales score | The number of products sold per SKU through keyword searching is normalized to the given time and may not reflect the real data. | |
| Product search results | The number of products shown in search results during the given time. | |
| Avg. price | The average price of products sold per SKU in keyword search results during the given time. | |
| CTR score | The number of product clicks divided by the impressions of products in keyword search results are normalized to the given time and may not reflect the real data. | |
| C_O score | The number of orders per SKU divided by the number of clicks on the products shown in keyword search, are normalized to the given time and may not reflect the real data. |
Potential terms
| Metrics | Explanation | Product display (test account, virtual data, subject to product) |
| Potential score | Selected keywords' search volume divided by the number of products shown in search result is normalized to the given time and may not reflect the real data. | ![]() |
| Search volume score | The number of keyword searches is normalized to the given time and may not reflect the real data. | |
| Product search results | The number of products shown in search results during the given time. |
Trend of Keywords
Look at one keyword's trendClick [trend], you can the trend of this keyword;Support trend of metrics:
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Compare the hotness trend of different keywordsClick [Compare] to select the keywords you want to compare in the list, and then click [confirm] to start the comparison.
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