What benefits can Xiaohongshu's planting grass bring to the merchants!

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With the development of social e-commerce and content e-commerce, well-known brands, KOL fashionistas and online platforms (including Shuangwei, Xiaohongshu app, Tik Tok, Taobao and other emerging e-commerce) are keen on planting grass. We often see many "online celebrities" fashion bloggers sharing practical cosmetics or skin care products on Xiaohongshu app. They will introduce good things in the form of small videos or copywriting. Netizens will want to buy such items after seeing them. This process is called planting grass.

So, what are the benefits of planting grass in Xiaohongshu compared with brand marketing?

I. Authenticity

Authenticity is always a routine; The content of planting grass is the core. To convince netizens that KOL really recommended it after using it, how can the content of KOL be authentic? The first is to experience the goods personally, and the second is to use and evaluate the goods from the heart.

Second, the rhythm of goods.

The rhythm inside and outside the new product listing station is fully open; Control and evaluation guide the transformation, supervise and manage the direction of online public opinion, promote appropriate content in every link, and multi-dimensional evaluation content causes * * * sound points.

Third, finish what you started.

Do a good job in the exposure of various online platforms and related e-commerce search keywords, so that users can find goods after seeing topics and keywords, which shows the role of planting grass everywhere.

In this case, doing a good job in brand marketing of Xiaohongshu app is basically equivalent to opening up a brand-new data traffic basket for well-known brands. As the entrance of lifestyle network platform and consumption management decision-making, Xiaohongshu app is different from the e-commerce that immediately conducts closed-loop control trading, takes the road of community o2o, serves the economic market with high-quality UGC content and accurate personalized recommendation mechanism, and finally firmly holds users in their hands.