Jungle Scout’s Shelf Intelligence provides a detailed view of how brands and individual ASINs appear on the Amazon search results page for a given search term. Users have the ability to define a set of search terms, which Jungle Scout will collect at a cadence of once per hour. The resulting data provides refined insight into how various ASINs and advertisements are shown to customers from day-to-day and hour-to-hour. Analysis of this Jungle Scout’s Shelf Intelligence data allows for understanding of competitive behaviors, aides targeted ad-spending, and is another signal of brand strength in order to build a comprehensive picture of the marketplace.
Below is an example visualization of how this data can be presented as brand analysis for the search term “yoga mat”.
Shelf Intelligence provides rank data for most objects on the first page search results (desktop) or approximately first 30-50 results (mobile). Each object is given an overall rank on the page and also a local rank (the rank among the same type of object (e.g. sponsored products) or within a single headline section.
Key attributes of each listing is also included, such as price, star rating, size (pixels) and location on the page.
Shelf Intelligence is provided as multiple tables that are meant to be joined as needed:
sov_search_result: The search results table contains the individual Amazon search result page items for a given keyword at each collection cycle. This table is meant to be joined with the sov_keyword table and with the product_metadata table.sov_keyword: The keyword table contains the Share of Voice keywords that are being tracked by Jungle Scout and the associated characteristics, such as marketplace and desktop vs mobile.product_metadata: The product metadata table contains the metadata for the ASINs that show up in search results. This is a dimension table with one record per ASIN and contains the data points such as product title and brand.label and sov_keyword_label. Labels are used throughout this and other data sets as a means of grouping for ease of organization (e.g. label for each campaign, workstream, brand, etc).FAQ