Product data is deeply woven into every aspect of the retail business. It is what buyers consider when deciding whether to purchase an item, what sellers treasure as a primary customer draw, and what B2B vendors cannot do without when delivering services to retailers. The good news is that there is still room where product attribute data has not yet been actively used to its full potential. This is what we cover in this article.
As a provider of any kind of service aimed at facilitating online retail routine, you know it won’t work without data from customers’ stores. For instance, a price optimization system can’t suggest better prices without knowing the client's current ones, and it can’t automatically adjust them without accessing the user’s store. Likewise, data feed management software can’t build product feeds without information about the item.
Out of the types of product data vendors usually work with (e.g. features, variants, categories, and characteristics), attributes are what they don't use to the max. Because many vendors miss out on building exclusive features that merchants would appreciate, this kind of data is what we focus on below — including how to use product attributes to build smarter, more competitive tools.
Defining Product Attributes and Their Importance
Product attributes are the specific, comparable values attached to a product — such as size, color, material, or weight — that let a customer evaluate an item against similar ones. Unlike features, which describe a product in general terms, attributes give additional values for comparison so that a customer can find and buy an item exactly as they want it. Together with features, attributes define a competitive set and influence a buyer's purchase decision, making them a core part of any product master data strategy.
Attributes help online merchants stay on top of important trends and identify growth opportunities. For example, to see whether an item has ranked up or down within its category, a seller can filter the segment by different product aspects and find things to take into account when adjusting their product assortment. This is also how many teams learn to track product attributes and benefits over time — by comparing how individual values perform against the wider catalog.
Applying Theory to Practice
From a seller's perspective, items for sale should be browsable, findable, and comparable. Attributes make this possible and serve as the criteria buyers use to search for and compare products. When selling across multiple channels and internationally, merchants also want their goods described in detail, with that detail laid out consistently on each marketplace, and — where possible — prices smartly adjusted so that sales grow faster.
If your software is intended to help online retailers do this, it won't work without product data retrieved from the primary point of sale, which in most cases is a web store. When integrating with shopping platforms and marketplaces — for example, following a PrestaShop API integration guide or connecting to channels covered in our overview of popular eCommerce marketplace services — you will typically build around basic product information like name, price, description, images, categories, and discount details. That, however, is not all you can use.
In addition to retrieving attribute data such as size or color, you could utilize specific information like the following, which together forms a more complete product attributes database for your platform:
- storefront visibility (e.g. sort order in a particular attribute group)
- attribute format / type (e.g. dropdown, textbox, or checkbox)
- quick / advanced search visibility
- required / unique status
- comparability
Please note that these values are not universal, as each platform's data structure differs.
For example, standard and custom attribute groups and values can support analysis and comparison features, while storefront visibility details — is the attribute fifth in a textbox? second in a dropdown list? — can apply to software that helps grow sales, such as cross-border sales tools and data feed management solutions.
What It Boils Down to
You can make use of what many others still don't. At API2Cart, we've seen that only a limited number of B2B vendors utilize storefront visibility data as part of their product attribute management. If you run a business that processes product information from e-stores to deliver a service, consider using this kind of specific attribute data too. It works particularly well for solutions like comparison shopping engines, data feed management software, and cross-border trade solutions, since the ability to retrieve more detailed and structured product data than what's available by default can only strengthen — never hurt — how effectively they perform. The same logic applies to broader product attribution management efforts, where richer attribute data helps connect product performance to marketing and sales outcomes, or to teams that track product attributes in marketing campaigns to fine-tune targeting.
This kind of retailer automation is also part of a wider shift toward tools that let merchants run their stores with less manual effort, relying on well-structured product data instead of custom development.
If you haven't made your way to product attribute data yet, let's collaborate. We offer a unified product attribute management platform that enables you to retrieve not only attributes but also a wide range of other data from dozens of shopping carts through a single API. For details, contact us or schedule a quick call by clicking the button below.
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