Keyword Research

Once you set up your DataHawk Sources and Destinations, you can access various datasets related to keyword suggestions, keyword lookup, and keyword placement.

We have compiled these datasets to provide the data you need to understand your usage of keywords better, enhance your keyword research efforts, and improve your visibility.


Connections currently provides three datasets, which are accessible to users who have tracked products.

  1. Keyword Suggestions
  2. Keyword Lookup
  3. Keyword Placement


All of the data listed below is available at ASIN-level.

  1. The Keyword Suggestions dataset provides a range of keyword ideas to help you expand your list and uncover new opportunities. This dataset applies to tracked products and is equipped with several metrics that can help you evaluate the potential of a keyword and decide whether to incorporate it into your SEO strategy.

    • How do we find keyword suggestions?

    Here are the steps that we follow to generate new, relevant keyword suggestions every week for a tracked product:

    1. We identify the closest competitors of the product and extract their category. For more information on how we identify competitors, click here.
    2. We extract a pool of keywords from the competitors’ categories (the ones that are relevant to the product).
    3. We assess the significance of keywords and select only the most relevant ones for the product.
    4. We exclude keywords that mention colors, dimensions, or brands, and include relevant metrics to help you compare and benchmark keywords.
    • How are the related metrics computed?
      • The Competitivity Score of a product for a specific keyword evaluates its likelihood of appearing in the search results. The score usually ranges from -1 to 1, with higher scores indicating greater visibility in the search results. To compute this score, we analyze your product's page and compare it to the top (three) products that rank for the keyword. We consider factors such as reviews, ratings, prices, and relevance to the keyword.
      • The product's Monthly Reach Potential estimates how many people may see your product when they search for a particular keyword. The higher the score, the more likely people will see your product. To compute this score, we estimate how many people search for that keyword each month and combine it with the competitivity score of your product.
  2. The Keyword Lookup dataset provides all keywords for which we have seen your tracked products rank organically in the last seven days. This dataset enables better analysis and discovery of the keywords in which your tracked products are visible.

  3. The Keyword Placement dataset provides insights into how you use keywords on your product listings. We analyze the different sections of your listings (title, description, bullet points, and backend keywords) daily and display which keywords appear in each of these. This lets you see which keywords you are using and analyze your SEO strategy's effectiveness.

Destinations Datasets

Using destinations, your accompanying DataHawk-powered Snowflake database contains multiple tables about Keyword Research data. These tables contain a very exhaustive list of data points as columns and are organized into schemas. All Keyword research data is available under the REPORTS schema.

These datasets can be used to build dashboards on your favorite BI solution.

To see a complete view of all columns within these tables, refer to our Table & Column Referential.

REPORTSREPORT_PRODUCT_KEYWORD_SUGGESTIONSDisplays new, AI-generated keyword ideas for each of your tracked products
REPORTSREPORT_PRODUCT_KEYWORD_LOOKUPDisplays keywords for which your tracked products ranked organically in the last seven days. Includes all keywords analyzed by DataHawk.
REPORTSREPORT_PRODUCT_KEYWORD_PLACEMENTAnalysis of the placement of keywords on your product listings, including the title, description, bullet points, and backend keywords. Includes keywords from your tracked keywords, keywords suggestions, and keyword lookup


Keyword Suggestions

Keyword Suggestions are for now only available for English-speaking marketplaces (US, GB, CA, AU, SG, IN, AE).

To maintain relevance, this dataset avoids including keywords that mention specific colors, brands, or dimensions. Nevertheless, words with multiple meanings have been retained. For instance, "moccasin" can refer to both a type of shoe and a beige color. Therefore, we advise you to proofread carefully when using these words to ensure accuracy.

Refresh Frequency

Data is updated weekly for Keyword Suggestions and Keyword Lookup datasets and daily for the Keyword Placement dataset.