Data feed¶
The structure of the information sent to Voyado Elevate is an integral part of the integration and has a major impact of the quality of the results in many aspects. It has impact on search ability, visualization, and performance, as well as flexibility when it comes to merchandising tasks.
This section includes:
- Best practices - Best practices and guidelines for the contents of the data feed.
- The Format specification - The details and syntax of the data feed format.
- Validating the feed - How validate the data feed.
- Scheduling the feed - How to set up continuous updates of the feed.
- Multilingual markets - How to model and implement markets with multiple languages.
Improve the data feed creation
Read through both the Guidelines as well as the Format specification prior to building the data feed.
Make sure both the integrating party as well as the retailer understands the data requirements and guidelines.
Concepts¶
The data feed is in short comprised of product data. How Elevate handles the data feed depends on the feed operations included in the XML-file that is imported.
An online retailer often sells articles in different colors or styles, and in different sizes or configurations. To describe an article and its properties, Voyado Elevate utilizes a model with three levels.
The first level is the product group (the overall article), the second level is the product (the style or color), and the third level is the variant (the SKU/size/configuration). The product is what is shown in a search result. Consider the image below where the different type of ladies tops are product groups, the colors of the different types are the products, and the sizes of the products are the variants.
The properties of the articles, i.e. the product attributes, are also segmented. Overarching properties such as brand and department are at the product group level, while attributes such as images and material are at the product level. Attributes as size, price, cost, and availability are at the variant level.
Content items enable visitors to search for content on the site, such as FAQs, shipping and contact information.
A market connects products to behavior data. The data import and the attribute modification operates on the market defined in the data feed.