视频号可以沉淀私域流量

Video accounts can accumulate private domain traffic

这些所有的社交媒体都是企业品牌连接客户的触点和制造流量的端口，终的收口,大多都以微信作为载体,形成有效的私域流量。

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.

助力公众号引流

Helping official account channel

视频号发布出来的内容下方，可以支持添加公众号文章链接，在公众号推文持续走低的情况下，视频号内容可以成为公众号推文有效的引流渠道。

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.

助力公众号内容

Help official account content

在这个看视频的年代，在充当企业微官网作用的公众号内容越来越难创新和增粉的情况下，视频号无疑是可以充实公众号的内容。这样用一个短视频的内容嵌入视频号直接可以生成公众号的推文，也是节省内容创作成本，同时增加内容可看性的好方法。

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)合理关键词匹配

1) Accurate keyword matching

视频号推荐模型会根据用户的地理位置、浏览喜好、关注话题等维度进行推荐。所以在视频内容、标题文案、话题标签、地理位置等方面添加对应关键词更有利于系统的合理推荐。

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)符合平台推荐逻辑

2) Consistent with platform recommendation logic

基于用户的浏览记录、关注的视频号、点赞评论分享的内容以及不喜欢的内容等多维度建模。核心关注互动方面(点赞率、评论率、分享率、完播率)，其中完播率占比较大，一半20S以内视频低于10%就很难被推荐。

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%.

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