We recommend you don’t try to populate a Product Name that includes commas or semicolons. Alternatively, you can use classifications to upload product metadata to Adobe Analytics post data collection. You can always use Product Merchandising eVars to store a more user-friendly name. In our example, "iPhone11" is not a good, unique Product Name since the iPhone 11 comes in a variety of colors and different storage sizes. So keep your Product Name short and crisp. Any additional characters will get truncated.
Plus, the Product Name has a 100-byte character limit. "iPhone 11") usually come with whitespaces, distinct capitalization, and are not necessarily unique. a product ID or a SKU) to populate this field. We recommend using unique product identifiers (e.g. The is the only mandatory field of the s.products string. A better way to categorize products is by using Merchandising eVars or leveraging classifications. While this sounds like a useful feature, Adobe actually recommends against using this field due to the fact that a product can irreversibly only be associated with the first assigned category. is an optional field that allows you to group together your products. "Within s.product, product-specific fields are separated by a semi-colon." s.products = " " Category Each product within the Products Variable has a 100-byte character limit and can contain up to six predefined, product-specific fields which are separated by semicolons. The variable can contain multiple products, separated by a comma. Any deviation from this syntax might result in a broken data collection. That’s why I encourage you to try to understand the implementation fundamentals, even if you’re mostly focused on analyzing the commerce data in Adobe Analytics. "It is because of the correct implementation and the power of the Products Variable, that you can generate sophisticated commerce reports in Adobe Analytics" Due to its hit-level expiration, you have to set it with every success event you’d like to analyze it by. It is a hit-based variable that stores contextual information about products and can be set together with both standard commerce events and custom success events. The Products Variable, also called s.products, is the fundamental dimension for commerce tracking and reporting in Adobe Analytics. Understanding the basics will greatly benefit your overall understanding of the underlying implementation principles needed for proper commerce data in Adobe Analytics. We’re covering some of the core principles of modern, commerce setup in Adobe Analytics. In fact, for "8 of the top 10 global internet retailers," Adobe Analytics is their digital analytics tool of choice, according to Adobe. It's no secret that Adobe Analytics comes with very powerful commerce features.
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