How Big Data is Affecting Shopping
In the article, it tells us that how big data is affecting the shopping, and I totally approve that big data has a great influence in the marketing. Big data can determine whether a company is going to succeed or not, for It can predict customer’s trends because retailers need to know who their clients are going to be and what they are interested within their scope of the industry. Due to the developing of the internet, retailers can use a combination of the social media posts, browsing habits, and ad-clicking experiences to formulate what customers are thinking and loving at the moment. And I think it is necessary in the marketing. Without the big data’s prediction, retailers won’t know the customer’s trends. Big data can also forecast the upcoming demand of customers’ preference, like what we would buy in the near future. There are certain trends that are popular among people during certain times of the year. By using data collected throughout the years, analyzers can help predict how shoppers are going to respond to upcoming products. Moreover, big data’s forecasting also helps with optimizing price. Algorithms that process big data daily are able to calculate when price decreases should begin happening for items. As the article has mentioned, Big data is collected from search engine recommendations, loyalty programs, transactions done online and offline and through customer demographics to help identify what customers are most likely to shop at a retailer. It's important for retailers to know who their clients are so they can cater to them.
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ReplyDeleteThis blog is useful and interesting cause nowadays there’s not denial that we constantly shopping online which also means that we provide the data to the e-commerce platform. There’re a lot of articles on the internet talking about how big e-commerce companies are using big data to improve their business. In fact it is the most commonly use of big data is to observed customer behavior which we can say that it is a core of e-commerce businesses. In the case of Amazon.com, Amazon was the first company to anticipate the potential of big data, it was one of the first online shopping sites to try innovative techniques to boost sales, such as product recommendations, drone delivery programs, and near-home warehouses to drastically cut shop-to-delivery time. All these things combined led to it becoming the top online shopping store in the world. Amazon utilize of bid data is impressive and if Amazon can do it, surely any other store can, as long as they leverage the full power of big data in the right way. There’re a lot of cases that show how e-commerce companies utilize big data, I encourage you guys to read some of them, they’re quite interesting!
Big data is indeed important in helping firms satisfy their target customers' needs and the internet helps with that.
ReplyDeleteA lot more people are engaging in e-commerce lately and so, producers are stepping up and taking advantage of big data big data helps them learn information about their target markets such as location, age, preference, taste and much more.
Analytics help big online stores such as AliExpress in customer recommendations by taking into account the customers' purchase and search histories, thereby personalizing their shopping experiences.
Big data is all around us.
With the progress of the times, the application of big data can be seen everywhere. These data include many materials around you and me, such as revenue, number of guests, consumption expenditure, etc. In addition, member information, consumption times, preferences are also data collection Elements, these things add up to become "big data" that we often hear. However, unlike traditional data processing, the data collected by big data must have insights and logic behind it. In simple terms, it helps Merchant information can be analyzed as big data. In the past, the marketing strategy began to change under the influence of these data. This represents the process of processing data in the past, and it can no longer load the complex and large amounts of data. The correct use of new technologies can not only lead to better performance, but also speed up process processing, so that strategies can have better planning. With the increase in commodities and the diversification of consumer characteristics, companies are beginning to face more quantitative and non-quantitative data. This level of data has exceeded the previous databases and software can handle. In the following article, you can choose from three In this example, learn how big data helps digital marketing succeed. Through the integration of big data, big data can let the store know the quality of the strategy at a glance and make the right solution. Although the data processing process is more complicated than before, companies that have integrated big data technology into their strategic considerations will be able to serve more consumers in the future and will be winners.
ReplyDeleteThis article is interesting and useful. In my opinion,Big data plays a very important role in shopping. Not only does it allow people to understand the habits and preferences of consumers when they buy, but from the analysis of big data, it can also predict popular trends, and even housewives’ household products are also suitable for large Data concept. When you can master big data, all retailers can make consumers enjoy special treatment and help retailers understand the needs of consumers in the market.
ReplyDeleteNext, we use retailers to analyze the concept of big data in e-commerce and physical stores, for example: Birchbox.
Birchbox is an e-commerce that launched beauty product subscriptions in 2010. Every month, different types of beauty trial products will be sent to subscribers, allowing subscribers to actually use the beauty products they ordered. If they are satisfied after the trial, they can go to the store To buy. This is the best way to keep the brand exposed. One of Birchbox's co-founders defined this method as: "try, learn, buy model".
Since Birchbox started to use the online beauty subscription method in online stores, subscribers can provide personal consumption information and what commodities the subscriber used, and then consumers can purchase at relevant stores to increase sales. Users who subscribe online can enter their skin color, hair color, and wearing style, to ensure that the goods received every month are tailored for the subscribers and meet their own conditions. The physical storefront is located in the SoHo district of Manhattan, and analyzing consumer big data helps to develop what products will be popular with guests.