"Guess you like it." Unique Operational Strategy

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Long-term online buyers will find that many of the shopping site now for their own site users make personalized recommendations. The items you need to find before you can find them in the personalized recommendation bar of the website, "Guess what you Like". That will increase the number of clicks on the page of the relevant product, also increase the sales of the seller's goods, and most importantly, facilitate buyers to buy goods. Buyers feel the convenience of shopping on the website, will become a repeat customer, then the source of the shopping site will continue to flow. "Guess what you like." This personalized recommendation, is the current use of many shopping websites operating strategy, so that the site's sellers to increase sales, but also for buyers to facilitate.

"Guess you like" is to rely on computer algorithms to run, according to the customer's browsing, search, orders and preferences, for customers to choose what they may like, may buy goods, thereby serving consumers. The recommendation system was designed to help online retailers increase sales, which is now a huge and growing business. Continuous improvement of the system, you can more accurately find different buyers different needs, as far as possible to meet the needs of all buyers. The use of personalized recommendation system is the site in the operation of the wise choice to protect their own web site customers constantly.

Now the network to buy more and more large, there is information that more than 80% of college students will choose to buy online, in addition to college students, white-collar workers, housewives, etc. will choose to buy online. Because online shopping is not afraid of wind and rain, also not afraid of windy and rainy. The huge network buys the group, will certainly bring the challenge to the shopping website, each person has the respective shopping need, how satisfies the different consumer's shopping demand, needs to take the personalized recommendation. Personalized recommendation is not only a unique business strategy for shopping sites, but also the development of e-commerce areas of the "main force."

Shopping site based on customer browsing, search, orders and preferences to make personalized recommendations, intelligent buyers may like to make the prediction of goods, so that buyers feel attentive service. Personalized recommendation is not only according to the different needs of different buyers, to make the guidelines, but also the next to all the shopping site service customers operating strategy.

"Guess what you Like" in the recommendation bar, show the products associated with consumer demand, if you want to buy a coat, "Guess you Like", you will be recommended to browse the product users, but also browse the goods. Maybe some of the products that users have browsed also make you feel like it, so you will buy the product. In this way, "guess you like" not only to increase sales of sellers, but also to increase the sales of related goods, this is a way to kill two birds with one stone. Sellers ' sales are increased, buyers ' time is saved, and shopping efficiency is greatly improved.

Now in the physical store to buy things, because the ruanmoyingpao of the shopping guide, often let your own beliefs shaken, buy goods. Go back to find that they do not like the imagination, so like that commodity, will make their own regrets, money to buy is not happy, but depressed. But now the personalized recommendation of the shopping site, is to let buyers decide whether to buy their own, to save the girl in the ear of the chatter, so that buyers according to the introduction of goods, their own to make the right judgments, buy their favorite products. There are data shows that 70% of the buyer to do the personalized shopping website recommended that love, more than 50% of the buyers are willing to have personalized recommendations of the site to go shopping.

Website operators according to the buyer's click and found in the list, since more personalized recommendations, related product clicks, the purchase rate greatly improved. Buyers in the enjoyment of shopping websites to bring convenience to themselves, but also to buy the desirable goods. Web site in personalized recommendation, but also to obtain a large number of orders. After all, personalized recommendation is a user-friendly recommendation, based on the buyer's browsing, search, orders and preferences to simulate the buyer's preferences. Now the buyers not only want the commodity inexpensive, want or the website can bring to their convenience. This article original source part-time bar (http://www.jianzhi8.com/) starting A5, reprint please specify the source!