When we shop online, there’s always a space on the side of the screen where specific items are displayed. These recommended items are based on shoppers’ preferences, purchasing habits and history. 48% of shoppers would actually buy a recommended product. All this is based on data collection and analysis. Data allows brands and stores to filter all their items, and offer customers a highly relevant and personalized experience. In other words, customers are looking for simplicity, and data is providing them with faster, easier, more personal products, services, offers and promotions.
Behind the scenes, brands collect data USA Email List and different types of customer information through demographic details, recent purchases and click streams in order to push the right product or service at the right moment, at the right price, through the right channel. Thanks to this digital transformation and data, brands provide shoppers with the information they need at the right time on their mobiles or tablets, through different forms: store displays, ‘ask-me’ information kiosks, optimized websites and applications. These are as helpful as a sales staff present in a physical store.
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How is data used in your shopping experience?
All in all, shoppers did not cross visiting stores off their habits. However, they use different channels during the purchasing cycle: both online and offline. A lot of shoppers visit a store to feel the merchandise, and complete the purchasing process online at a later stage. Or the other way around: starting the process online, and buying in-store. Data that is collected online and in-store helps brands and stores better understand customer preferences and habits, and deliver a more personalized and optimized shopping experience.