Diapers and beer in big data marketing
Recently, some media reported a very interesting story. A supermarket put diapers and beer together. Unexpectedly, this move made the sales of diapers and beer increase significantly. This is not a joke, but a real big data case in Wal Mart chain supermarkets in the United States that has been talked about by businesses. It turns out that American women usually take care of their children at home. They often tell their husbands to buy diapers for their children on the way home from work. When they buy diapers, their husbands will buy their favorite beer. Using big data analysis, it was found that the sales data curve of diapers and beer, two different commodities, was surprisingly similar.
This discovery has brought a lot of profits to businesses, but how can we find the connection between beer and diaper sales from the vast but chaotic big data? What kind of enlightenment does this give us?
Big data analysis can bring huge returns to enterprises. Big data plays a huge role in marketing:
Target group targeting
Big data analysis can introduce consumers' behaviors and interests to marketing promotion personnel in great detail. With the increase in the amount of data provided, marketing personnel can locate more customers and analyze potential customer groups. And it can target the target group more accurately and quickly, which makes the marketers more comprehensive in audience positioning.
Look for new marketing opportunities and recommend the most suitable order to customers
For marketing personnel, products need to be constantly updated. Big data analysis can help improve the links or characteristics of the existing operation model, and help people find emerging marketing opportunities in the market.
E-commerce enterprises such as JD.com, Taobao, Amazon, etc. use the big data analysis of the website for their marketing, and give customers "product recommendations that can't be rejected". They recommend products that customers are interested in, which makes users more targeted shopping. Amazon's statistics show that more than 35% of the website's sales profit is due to their product recommendation engine.
More accurate prediction of marketing campaign results
Big data resources can also be used to estimate performance and efficiency in marketing activities. In future marketing activities, precision marketing can help the company save a lot of money. The media channel investment and advertising investment guided by big data analysis can provide the best energy efficiency.
Using big data is not the only prerequisite for success. Those marketing promoters who are familiar with psychology and sociology will be able to create attractive marketing activities and outsmart their competitors by means of big data analysis.
