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What is good product data?


Good product data helps customers and users make informed purchasing decisions by showcasing your products in the best possible way.

Every 3rd purchase in physical stores is supported by online research. The vast majority of consumers implicitly expect to be able to search for and compare products online before making a purchase.

For that reason alone, there is every reason to strengthen the data foundation of the products displayed online via a webshop, an app, or in a catalog.

In other words, good product data is a crucial factor in strengthening the customer's decision-making basis, and thus also in winning the sale itself.

A PIM system supports the processes around acquiring, enriching, and publishing product data – and thereby also the final quality of your product data.

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If you’re interested in hearing our ideas on how data can help your business execute, grow, and scale, we’re ready for a no-obligation conversation.

What distinguishes "good product data" from "bad product data"?

Good product data manages to provide the user with the necessary basis for decision-making. If a user is looking for an organic sweater, information about sustainability (e.g., quality, certifications, country of manufacture) will be relevant, while this information may prove to be noise in other situations.

Therefore, it is also difficult to create a definitive list of what good product data is. This also highlights another important fact about PIM systems – they are continuously evolving.

Today, price may be the most important parameter. Tomorrow, it might be sustainability. In five years, it could be something else.

That is why companies selling their products online must also be willing to invest in maintaining their product catalog with the data that the market demands here and now.

Examples of good product data, and where you can make an active effort

In our series on "The Good Product Page", we have mapped out a number of concrete examples of how good product data makes a positive difference for the user in the buying process.

In the first part of the series, we look at the placement and display of the data shown about your products. Factors such as size, colors, interaction options, placement (also in relation to other data points), etc., all have an impact on how effectively your data can work.

Second part of the series

 

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