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企業要不要做視頻号?怎麼(me)把握機制?

來源:https://www.chinanovo.net   發(fā)布時間:2024-01-16 20:18:09      

視頻号可以沉澱私域流量

Video accounts can accumulate private domain traffic

這(zhè)些所有的社交媒體都(dōu)是企業品牌連接客戶的觸點和制造流量的端口,終的收口,大多都(dōu)以微信作爲載體,形成(chéng)有效的私域流量。

All of these social media platforms serve as touchpoints for corporate brands to connect with customers and create traffic, with WeChat serving as the carrier for effective private traffic.

助力公衆号引流

Helping official account channel

視頻号發(fā)布出來的内容下方,可以支持添加公衆号文章鏈接,在公衆号推文持續走低的情況下,視頻号内容可以成(chéng)爲公衆号推文有效的引流渠道(dào)。

Below the content released by the video number, you can add official account article links. In the case of official account tweets continuing to decline, the video number content can become an effective channel for official account tweets.

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助力公衆号内容

Help official account content

在這(zhè)個看視頻的年代,在充當企業微官網作用的公衆号内容越來越難創新和增粉的情況下,視頻号無疑是可以充實公衆号的内容。這(zhè)樣用一個短視頻的内容嵌入視頻号直接可以生成(chéng)公衆号的推文,也是節省内容創作成(chéng)本,同時增加内容可看性的好(hǎo)方法。

In this era of watching videos, when it is increasingly difficult to innovate and increase the content of the official account that serves as the enterprise's micro official website, the video account can undoubtedly enrich the content of the official account. In this way, the content of a short video can be embedded into the video number to directly generate official account tweets, which is also a good way to save the cost of content creation and increase the visibility of content.

1)精準關鍵詞匹配

1) Accurate keyword matching

視頻号推薦模型會根據用戶的地理位置、浏覽喜好(hǎo)、關注話題等維度進(jìn)行推薦。所以在視頻内容、标題文案、話題标簽、地理位置等方面(miàn)添加對(duì)應關鍵詞更有利于系統的精準推薦。

The video account recommendation model will recommend based on dimensions such as user's geographic location, browsing preferences, and topics of interest. Therefore, adding corresponding keywords in video content, title copy, topic tags, geographical location, and other aspects is more conducive to the system's accurate recommendation.

2)符合平台推薦邏輯

2) Consistent with platform recommendation logic

基于用戶的浏覽記錄、關注的視頻号、點贊評論分享的内容以及不喜歡的内容等多維度建模。核心關注互動方面(miàn)(點贊率、評論率、分享率、完播率),其中完播率占比較大,一半20S以内視頻低于10%就很難被推薦。

Multi dimensional modeling based on user browsing history, followed video accounts, likes, comments, and shared content, as well as disliked content. The core focus is on interactive aspects (like rate, comment rate, sharing rate, completion rate), with completion rate accounting for a relatively large proportion. Half of the videos within 20 seconds are difficult to recommend if they are less than 10%.

本文來自:濟南短視頻運營更多的内容請點擊:https://www.chinanovo.net我們將(jiāng)會爲您提問的問題提供一個滿意的服務,歡迎您的來。

This article comes from: Jinan Short Video Operations. For more content, please click: https://www.chinanovo.net We will provide a satisfactory service for the questions you ask, and welcome you to come.