Store Record Releases New Feature to Automatically Acquire Amazon Advertising Cost and Visitor Data

Store Record Co., Ltd. has released a new feature for its SaaS "Store Record" for retail companies, which automatically acquires Amazon seller advertising cost and visitor data. This allows Amazon retailers to streamline profit management efficiently without cumbersome manual work.
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  • 📰 Published: April 2, 2026 at 17:30
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Store Record Co., Ltd. (Headquarters: Shinjuku-ku, Tokyo; Representative Director: Kotaro Higuchi; hereinafter "the Company"), which upholds the vision of "providing quality management to all retail companies," has released a new feature for its data centralization SaaS "Store Record" for retail companies, enabling complete automatic acquisition of Amazon seller sales data, advertising costs, and visitor numbers (sessions).

With this feature, small and medium-sized retailers selling on Amazon can centrally grasp everything from daily sales to the effectiveness of advertising investments and product-specific access status simply by turning "automatic acquisition" on in the management screen.

Challenges in managing costs for Amazon sellers

On Amazon, a wide variety of costs arise, including FBA fees (fulfillment fees, inventory storage fees), referral fees, multiple advertising menus such as Sponsored Products, Sponsored Brands, and Sponsored Display, as well as coupons and point programs.

In addition, the billing and aggregation timings for advertising costs and referral fees differ; FBA fees occur per order, while inventory storage fees are settled monthly. This makes it difficult to correctly link costs to the "month in which the measures were actually implemented."

As a result, it is easy to fall into a situation where "sales are growing steadily, but when the books are opened at the end of the month, no profit is left." Especially for stores actively investing in advertising, the accuracy of profit management determines business success.

Tedious manual data management

Traditionally, to accurately understand the revenue of an Amazon store, it was necessary to individually download and aggregate the following data:

・Seller Central order reports (sales data) 

・Advertising Console reports (Sponsored Products, Sponsored Brands, Sponsored Display, etc.)

・Business reports (sessions, page views, add-to-cart rate, etc.)

・Payment reports (actual costs such as FBA fees, referral fees) 

These data sources have disparate management screens and formats, and as sales volume increases, the amount of data also becomes enormous. It takes many hours each month for aggregation and reconciliation in Excel/spreadsheets, effectively taking away time that should be spent on analysis.

Automating profit management with Store Record

Stoa

Keywords: amazon, profit management, marginal profit, automatic acquisition, management