In 2014, the term big data was increasingly mentioned, and it was used to describe and define the vast amounts of data generated by the information explosion era. Data has penetrated into every industry and business function area to become an important production factor. The mining and application of massive data indicates a new wave of productivity growth and the wave of consumer surplus. In recent years, with the development of the Internet and information industry, big data has begun to attract widespread attention.
In the home industry, the development of e-commerce and the popularity of online shopping have brought "big data" into the lives of the general public. People clearly know how big data can play its own functions, how to effectively help themselves and merchants and e-commerce platforms get more Good development. For example, the “Double 11†has just ended, and the backstage of major shopping websites can count the sales volume, product flow, customer evaluation, and order quantity of each brand according to furniture, sofa, mattress, textile products, etc., and discharge Precise ranking. At the same time, large-scale shopping websites can also categorize, cross-check and sub-item the huge and complicated data generated by many cities through information system optimization, and form useful information to guide enterprises to customize products according to consumers' precise needs.
Under the support of big data, in addition to a specific brand can implement product improvement, service enhancement, and order follow-up based on statistical data, it can also be associated with similar brands to achieve interactive marketing. In the past, the interactive marketing of the home industry relied on alliances, such as the Champion Brand Alliance, the China Good Home Brand Alliance, and the Home Eight Brand Brand Alliance, which were organized by the company spontaneously, like “Lang Langâ€, which may not necessarily correspond to the needs of consumers. Fit. Nowadays, through the visual presentation of big data, the owner's relevance to brand selection can be found. Brands with higher correlation can actively unite to provide preferential marketing or service interaction for the owners, thus truly satisfying the needs of consumers. For example, the website found through big data statistics that owners who prefer a certain brand may have a higher chance of choosing other specific brands. If these brands are jointly marketed, they will naturally meet the needs of the owners and have a multiplier effect.
The era of big data has arrived. The development of the home industry is not just a simple alliance among suppliers. Instead, it should focus on building an e-commerce platform, using big data marketing to truly understand the needs of customers and find the most effective owners. Feedback to consumers' demands. It also helps owners get the best brands and the best prices.
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