In the current environment, a more effective marketing approach for brands should be through content that the target audience is interested in. This content is no longer a set of materials under BIGIDEA, but may be a lot of content that varies from person to person, and with the help of digital technology Make precise contact. After all, effective and lasting links and ever-fresh relationships between brands and fans are achieved through content communication that is either valuable, interesting, or both.
Therefore, I boldly predict that the budget for brands to do communication campaigns one after another as before will gradually decrease, because this form seems a bit too “cumbersome” now and is not sustainable. Brands need continuous, lightweight, and accurate content to maintain communication with consumers.
So, let’s talk about new content methods.
Everyone must have heard the term “content marketing”. So how does a brand do content marketing? Are you operating your own self-media Vietnam Whatsapp Data account, expanding from “Double Weibo and One Dou” to the current “Dou Kuaihong B”? Or through third-party KOL? It seems that many people are quite confus . In my opinion, content marketing for brands can be divid into two stages: content marketing in the past 1.0 era and content marketing in the current 2.0 era. In the 1.0 era. Most of those who achiev success in content production reli on targeting platforms and KOLs with traffic dividends. For example, Weibo has become popular with a number of clothing brands. Represented by Zhang Dayi. WeChat public accounts have become popular with HFP, Xiaohongshu has become popular with Perfect Diary, Douyin has become popular with Hua Xizi, etc.
In the second half of the Internet, there is no platform dividend.
When brands do content marketing in the 2.0 era. Brands rely more on data-based insights to accurately reach target groups through scenario-based. Self-fermenting AQB Directory and scalable content. Let’s explain the keywords in bold below one by one. The role of data insights, on the one hand. Refers to using consumption data to find the buying points. That support the product and are most likely to be of interest to the target group. I say “buying point” here because I want to distinguish it from the “selling point” in traditional marketing. The difference between the two can be underst this way. The selling point is fix. But the buying point will be dynamically adjust according to different users and even different occasions. For example,