Analysis of competing products of radio app-litchi FM dragonfly FM koala FM

1 Dragonfly FM and Koala FM take the route of UGC+PGC, and the proportion of male and female users, age distribution and occupation are basically the same as those of similar radio products. It shows that there is little difference between the two modes and contents.

Dragonfly moved the traditional radio station to the Internet and basically bought out all the major radio channels, but now it is facing the impact of the transformation of the traditional radio aggregation mode. The koala pioneered the car radio, but it was quickly copied. There is no threshold for koala FM live broadcast, but the activity is not high. The average audience of a live broadcast room is around 100, and the quality is generally low.

There is a big gap between all the data of litchi FM and similar products, which shows that the positioning of litchi is unique, because it exudes a strong freshness, literature and exquisiteness from the frame to ue and UI, which is the most direct impression of litchi. The content is also based on the healing system. There are more anchors taking the emotional route and less news information, so female users account for more than 70%. Of course, there are also some die-hard fans and Wen Qing with high viscosity. Around the concept of "everyone's anchor", the authority is open to everyone, but the threshold for being a radio station is not low, and it requires time, emotional investment, voice requirements, manuscript editing and many other professional high requirements. However, a large number of young users are eager to open the radio station for a period of time, but insist on breaking it soon, resulting in many "zombie radio stations" and lowering the quality of the platform programs. Large-scale operations can maintain activity.

Litchi FM was launched on 20 13, with unique positioning and different styles from similar products.

Dragonfly FM was launched earlier at 20 1 1, and it is the first car radio station in China. There are a wide range of channels for cooperation with radio stations, which have experienced content copyright issues, background operations suspected of maliciously brushing boot data, and counter-attacks of radio aggregation transformation. At present, daily life is stable but word of mouth is not optimistic.

Koala FM goes online in the month, 20 13. Based on big data and algorithms, radio recommendations are made according to users' interests and preferences. Similar to today's headlines and other quick news apps that have emerged in the past two years, it saves the trouble of user selection. In just a few years, koalas have risen rapidly.

Through the comparative analysis of three applications, suggestions are put forward for each software modification, and the discovery direction of radio applications in 20 16 years is predicted.

2.2. 1 litchi FM

The first two pages are the home pages of radio and channel selection. The first major functional requirement is listening to radio stations. The recommendation page is not accurately subdivided, and the update speed of technical and hot information is slow and the quality is poor. The collective preference for literary and artistic fresh stories is also due to positioning reasons. The audience promotes the growth of literary content, and the content screens users, so litchi is now "partial".

The last two are screenshots of the radio station. The interface is simple and fresh, but the function and soundtrack are incomplete. Strangely, since Litchi takes Renren blog as a selling point, why not try to optimize it? The recording interface three years ago has not changed.

Litchi FM provides a platform for the anchor to establish a personal radio station, and also provides podcast hosting service and audio playback service in the anchor's own WeChat WeChat official account, so that the anchor can directly play his own programs on the official WeChat account and podcast at the same time as long as he puts his own programs on Litchi FM.

Dragonfly fm's radio on-demand page has a fine classification. In addition to novels, music, science and technology, storytelling, there are also special programs such as open classes, brand radio stations and gem radio stations. Paul Vientiane and Dragonfly have more PGC content, and traditional radio programs are more comprehensive. There are shopping malls, dragonfly specialty shops and anchor shops in the dragonfly app, and JD.COM Brand Street Push is on the homepage. These advertisements will bring revenue through traffic, and the specific profit model will be explained in detail in the analysis. The disadvantage is that the classification of goods in shopping malls is not clear, such as mobile phone accessories, food, daily necessities and so on. And the experience is poor. For the anchor store, the fan effect can be used to attract the audience to buy, and the traffic is large.

3.2. 1 litchi FM

Dragonfly FM

3.2.3 koala FM

Finally, give some suggestions to several apps:

Litchi FM can consider optimizing the recording function in terms of content, and strive to add more optimization methods, such as short sound effect, editing function, noise reduction, sound effect and so on. Now that you are stuck in the pure UGC mode, simply minimize the threshold of self-made radio stations, and the platform should have PGC auxiliary anchors, such as some skills. On the framework layer such as interaction, we should make the pages of listening to radio stations more concise. Now the new version and the old version are intertwined, and the structure is really messy.

Dragonfly FM should absorb more media people to enrich the platform content on the basis of maintaining radio resources. Traditional radio stations are indifferent and unfriendly, and the media is a bit grassroots. Don't always imitate a cloud in interactive design, but have your own characteristics, because when I see the iconic "official red" and homepage layout, it reminds me of a music product. Impression will be greatly reduced.

Koala FM should make the algorithm better, collect more user information, cooperate with some socially powerful enterprises such as Tencent, encourage users to bind social products, and get some data from acquaintances, which is helpful for accurate push.