{"id":11802,"date":"2023-03-07T13:47:00","date_gmt":"2023-03-07T12:47:00","guid":{"rendered":"https:\/\/www.atamya.com\/?p=11802"},"modified":"2025-11-14T16:43:28","modified_gmt":"2025-11-14T15:43:28","slug":"product-data","status":"publish","type":"post","link":"https:\/\/www.atamya.com\/en\/blog\/product-data\/","title":{"rendered":"5 Steps to Optimize Your Product Data"},"content":{"rendered":"\n
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Optimizing Product Data and Realizing Business Objectives Even Faster<\/h2>\n

In our digital day and age, product data and information are of decisive importance for the success of companies. Through the optimization of product data, companies can reach out to their customers in a more efficient manner, boost their online presence, and improve sales<\/strong>. This blog entry goes in-depth on product data \u2013 what it is, why it is so important, and how you can optimize it in order to accomplish business goals in a much faster fashion. So, if you want to draw from the full potential of your product data, make sure to keep on reading!<\/p>\n\n <\/div>\n <\/div>\n <\/div>\n<\/section>\n\n\n

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What is Product Data?<\/strong><\/p>\n

Product data is all data and information which describes a product and its properties \u2013 it forms the foundation for the presentation of your product. At first glance, this seems to be pretty straight forward, doesn\u2019t it? However, you shouldn\u2019t forget that product data can encompass the full scope of product information: the spectrum ranges from simple data such as names, prices, or colors to complex technical data such as efficiency grades. In short: even a simple product can be described by a large number of product data attributes<\/strong>.<\/p>\n<\/div>\n <\/div>\n <\/div>\n <\/div>\n<\/section>\n\n\n

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The Importance of Product Data for Your E-Commerce Strategy<\/span><\/h3>\n

Now that we\u2019ve defined what product data is and know just how complex it can be, there still remains the question of how crucial this is to the sales of products. One good answer to this question are the results delivered by an empirical study conducted by KPMG and Statista.<\/a><\/p>\n

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According to this study, 57 percent of the surveyed people wish for detailed product information to avoid personally returning<\/a> products. 42 percent of the people do also wish for more detailed product images in this context. This means that the majority of people wish for an overall higher quality of product data which can serve as the basis for good purchase decisions without product returns. In short: the quality of data is decisive. This, in turn, is easy to comprehend if you consider the gigantic quantity of products comparable to one another in a vast market such as e-commerce. Customers here have the freedom \u2013 or agony \u2013 of choice and must, therefore, rely on correct, precise, and elaborate product descriptions<\/a> and product information. The point being: high-quality data is necessary to stay streets ahead of the competition<\/strong>.<\/p>\n

Only this way can you create target-group-oriented product experiences which inspire customers and motivate more purchases. To achieve the desired results, you ought to concentrate on the quality of your data. The following guides you in 5 steps through the best practices for getting the best out of your product data while also optimizing the quality of this data at the same time.<\/p>\n

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Step 1: Shifting Perspectives \u2013 Think Just Like Your Customers Do<\/span><\/h4>\n

The rule of thumb in this context is: customers think in use, not in product properties. So, before your company gets down to business and starts filling product data with life, it\u2019s imperative that you first step into your customers\u2019 shoes and view things from their perspective. Grab pen and paper and write down your answers to the following questions:<\/p>\n