作者:創(chuàng)始人 更新時間:2025-08-19 22:00:11
在抖音視頻獲得推薦的策略如下:
The recommended strategies for Tiktok video are as follows:
1)利用好流量池
Make good use of the traffic pool
抖音給每一個作品都提供了一個流量池,無論你是不是大號、作品質(zhì)量如何。你之后的傳播效果,就取決于你的作品在這個流量池里的表現(xiàn)。抖音評價你在流量池中的表現(xiàn),會參照4個標準:點贊量、評論量、轉(zhuǎn)發(fā)量、完播率。
Tiktok provides a flow pool for every work, no matter whether you are a large player or not, and the quality of your work. Your subsequent dissemination effect depends on the performance of your work in this traffic pool. Tiktok will evaluate your performance in the traffic pool according to four criteria: likes, comments, forwarding and completion rate.
知道了這4個標準,就要在一開始視頻發(fā)出來的時候,想辦法發(fā)動所有你能發(fā)動的力量去點贊、評論、轉(zhuǎn)發(fā)、把它播放完。比如轉(zhuǎn)發(fā)給朋友圈幫忙播放點贊,或者定位在人數(shù)密集的商圈發(fā)布,因為抖音現(xiàn)在已經(jīng)上線了附近的人一功能,所以都有可能增大你的視頻曝光量。
Knowing these four criteria, you need to find a way to mobilize all the power you can to like, comment, share, and finish playing the video when it is first released. For example, it can be forwarded to a friend circle to help play likes, or it can be released in a crowded business district. Because Tiktok has been launched in the nearby Renyi function, it may increase your video exposure.
2)調(diào)整發(fā)布時間
Adjust the release time
有統(tǒng)計顯示,在飯前以及睡前這兩個時間段中抖音APP的打開率較高,基本有62%的用戶會在這段時間內(nèi)刷抖音。而有10.9%的用戶會在上廁所、公司路上等一些碎片化時間中刷。
Statistics show that the opening rate of Tiktok APP is high before meals and before sleep, and 62% of users will use Tiktok during this period. And 10.9% of users will brush during fragmented times such as going to the bathroom or commuting to work.
所以,對于抖音中的創(chuàng)作者來講,最好的視頻發(fā)布時間是在工作日中午12:00,下午18:00以及晚上21點-22點,或者周五的晚上以及周末。另外抖音的內(nèi)容,最好是每天更新一條,這樣才能加強用戶粘性。b.積極參與挑戰(zhàn)
Therefore, for the creators of Tiktok, the best video release time is 12:00, 18:00 and 21-22 p.m. on weekdays, or on Friday nights and weekends. In addition, it is better to update the content of Tiktok every day to enhance user stickiness. b. Actively participate in challenges
上熱門的方式有很多種,但最簡單、最不費勁的方式,可能就是抖音熱門挑戰(zhàn)了。在抖音中,每天都會有不同的挑戰(zhàn),你可以根據(jù)綜合的對比來判斷某個話題爆火的潛力,然后選出你認為最可能火的話題進行模仿,這樣,只要內(nèi)容優(yōu)秀就很可能上推薦。
There are many ways to be popular, but the simplest and least laborious way may be the popular challenge of Tiktok. In Tiktok, there are different challenges every day. You can judge the potential of a topic to become popular according to comprehensive comparison, and then select the topic that you think is most likely to become popular for imitation. In this way, as long as the content is excellent, it is likely to be recommended.
3)疊加推薦
Overlay recommendation
自己能發(fā)動的力量畢竟有限,因此,當作品被推廣到更大的范圍以后,就不是能人工干預(yù)的了。既然抖音是一款音樂類型的短視頻社交軟件,那么它的評論區(qū)尤其重要,既然如此,在寫視頻的標題文案時,就要考慮設(shè)置一些互動問題,引導(dǎo)用戶留言評論。
The power that can be mobilized by oneself is limited, therefore, when the work is promoted to a larger scope, it cannot be artificially intervened. Since Tiktok is a short video social software of music type, its comment area is particularly important. In this case, when writing the video title copy, we should consider setting some interactive questions to guide users to leave comments.
有些視頻拍出來之后沒火,過幾天、過一個星期,甚至過了個把月之后,這個視頻卻突然火了。所以這個推薦算法其實會“挖墳”,帶火一些優(yōu)質(zhì)的老視頻。
Some videos may not become popular after being filmed, but after a few days, a week, or even a month, they suddenly become popular. So this recommendation algorithm actually "digs graves" and ignites some high-quality old videos.
所以比較看好的一些視頻,即使它一開始沒火,你也要持續(xù)去給它去做一些點贊評論,通過朋友圈去轉(zhuǎn)發(fā)一下。有可能這個星期沒有被推薦,但下個星期有可能就會被推薦。
So for some videos that you are optimistic about, even if they are not popular at first, you should continue to give them likes and comments, and share them on your Moments. It's possible that I wasn't recommended this week, but I might be recommended next week.
4)注意事項
Precautions
一定不能植入硬廣,二維碼,低俗廣告等;一定不能讓視頻出現(xiàn)有水印、畫質(zhì)模糊等問題;一定不要刷閱讀量、刷喜歡;這些不僅僅會讓你的視頻獲得不了推薦,還有可能讓你的視頻被禁言、被限流甚至是被封號。
We must not implant hard advertising, QR codes, vulgar advertisements, etc; The video must not have issues such as watermarks or blurry image quality; Never brush your reading volume or likes; These not only prevent your video from receiving recommendations, but may also result in your video being banned, restricted, or even banned.
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