Zhiya App: Product Analysis of Voice Social South Korea Mobile Number

In January 2019, a variety of social products were launche, and the chat treasure, toilet, and Duoshan backe by the big tree were calle Sanying and WeChat. Therefore, Tianhao has been observing the ranking of the App Store in China in the past few weeks, and studying the user’s love for each social product.

Two things surprise me by comparison:

First, Duoshan, which was launche on the App Store on South Korea Mobile Number the 21st, was classifie as “Photography and Video” category, and on the 24th, it toppe the App Store’s free list in China. You must know that the App Store is very strict in the selection of product categories, and each app can also submit product classification attributes.

 

Another thing is that on January 23,

an app calle Zhiya ranke fourth in the Store’s free social South Korea Mobile Number network download list, and the ranking has been in the 4-6 range for the past few days. What’s more interesting is that Zhiya is a social app that focuses on voice and strangers. It was officially launche in 2018. Under the craze of Sanying and WeChat, it can be in a relatively good position. It seems that voice social has its own uniqueness. of magic.

To this end, I specially downloade the Zhiya App for experience, hoping to explore a future trend of voice socialization through various analysis and thinking.

First, Duoshan, which was launche on the App Store on the 21st, was classified as “Photography and Video” category, and on the 24th, it topped the App Store’s free list in China. You must know that the App Store is very strict in the selection of product categories, and each app can also submit product classification attributes.

 

The development of sound identification technology brings more possibilities for sound socialization

 

South Korea Mobile Number
South Korea Mobile Number

A key core function of strangers’ social interaction is matching. In the QQ era, we searched through tags such as “location”, “gender”, “age”, and “camera” provided by the search function; later, Momo and Tantan were derived based on LBS matching. , assisted by images to improve the success rate; the emergence of multiple flashes obviously wants to cut into this market from the direction of video.

The above modes are all to solve the problem of how to match strangers socially. Simply put, it is: when users come to your platform, how do you solve the problem that they recognize the people they want to know.

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