Travel fan: Use data therapy to choose phobia Exact match user
Source: Internet
Author: User
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The online travel industry is experiencing an entrepreneurial boom, with more and more travel industry practitioners, or internet enthusiasts who love to travel. Huang Shaolin is one of them, he founded the website Travel Fan "from the outbound travel market start, hope to use data analysis for tourism Commodity shopping Guide." Huang Shaolin is a veteran of the internet industry and a tourist. He entered the Internet industry in 1998, once founded the industry blog "Digital Wall", or the early employees of Sina Network, as the social network 51.com President Assistant, Hunan TV happy to buy the chief operating officer, and later joined Alipay responsible for 600 million registered users of the operation and management; he's been an angel investor, Investment in the field of gaming, electricity, O2O and other fields, in addition, he loves tourism, footprints in dozens of cities on four continents. From the personalized recommendation of tourism products Huang Shaolin Frankly in Alipay's work experience gave him a lot of inspiration and touch, to 600 million registered users of the volume, labeled Grouping and fine marketing has always been an important work of the electric Business Company. In other words, on Alibaba platform, how to accurately for different users to show different, to meet their personal preferences of goods and services? This involves the user behavior analysis, data analysis, user portrait and so on a series of processes, and finally achieve thousands of people face "effect." On-line tourism industry, still stay in the unified product screening stage, there is no fine tillage personalized this piece of soil. Personalization is precisely the user's biggest pain point. "Huang Shaolin said. For example, in the choice of hotels, users may consider: four-star, convenient transportation, near the scenic area, there is a free breakfast and broadband, family room and so on. But not necessarily able to find completely meet all the requirements, when users face trade-offs, each person's preferences are different, each time because of people because of the ground and different, the process is full of entanglements, time-consuming consumption. So can the technical way to help users to choose? The personalized recommendation of tourism products based on user behavior is much more complicated than that of ordinary electric dealers, and the general commodity has the relative unification dimension of price, Brand and function, while the tourism products vary widely because of time, place and participant. The key to individuality is to identify the user's travel patterns, and then show the right goods to the user. "Huang Shaolin said. In order to carry out the tourism pattern recognition, the first data modeling, according to Huang Shaolin introduced, travel fan organized a large number of commodity data for morphological grouping, import users to test, and repeated revisions; The first phase has established 12 kinds of user tourism model, including petty bourgeoisie, actuarial fan, small fresh, Bai Fumi, actuarial fan, etc. Each type of population has a specific choice of tourism products. The Judgment of tourism form is mainly based on user behavior data, in a self-help travel preparation process, users will repeatedly screen more interested hotels, travel fan system in this process according to user behavior constantly recalculate. Huang Shaolin said: "The classification of the population can be more subdivided, the key is dynamic identification." "Through real-time analysis of users ' clicks on the Internet, a user who is identified as petty bourgeoisie, may be traveling abroad for a holiday with a child,Identity was recognized as a parent-child tour. Alternatively, a user who started searching for two star hotels was identified as a backpack fan, but because he found that tourism in Bangkok was cheap, it was recognized as an actuary in the process of increasing the budget. Suitable for different tourism forms of tourism products, so you can accurately match to the user. The future travel market Analysis Travel fan Another business is tomorrow machine plus wine tourism market, the designated destination city in the next six months of tourism market vision into a line chart for users to refer to, and then provide users with different machine plus wine package options. According to our understanding, the current outbound self-help tour users half will choose to buy machine plus wine or free package, half of the choice of hotels and tickets separately. "This shows that 50% of users are not satisfied with the available packages," says Huang Shaolin. The main reason is: Can not match the departure date set by the package package, the hotel location remote decoration old, do not meet the needs. According to Huang Shaolin introduced, and ordinary machine plus wine package is different, travel style is through dynamic combination can be specified by the date of the user to produce packages, or even according to the user's travel patterns combined with the user needs of the package, such as petty bourgeoisie package, parent-child tour package. Cooperation with overseas tour operators is divided into travel fan all products are from partners, sales commission for revenue. Huang Shaolin not shy of the fact that he is not a traditional tourism industry, but also stressed that in the age of large data, the acquisition of goods is not a problem. Through the cooperation with the overseas traveling electric business, the travel van has quickly achieved a large number of unique tourist commodities. For example, with the Japanese Lotte Cooperation, we have made a unique Japanese-style hotels, and Taiwan's online tourism companies, we have made a unique Taidong tourism travel products. In the eyes of Huang Shaolin, any traveling electric company is his partner, all goods can put on this platform. He is more focused on how to solve the hesitation and entanglement of the user's choice of travel products and how to help the partners to sell more efficiently.
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