Global Revenue Expansion Consultant
Posted: Mon Jan 06, 2025 6:09 am
Expert level/proportion of delivery Through the data statistics of competitors’ delivery, we can get the current proportion of experts delivered by competitors. According to the number of fans, experts can be divided into top experts, mid-level experts, tail experts, and amateurs. Here is a formula for the experts delivered by a brand in Xiaohongshu for simple reference. Of course, the brand’s expert delivery cannot be done once and for all by a formula. It also needs to be fine-tuned in combination with the data distribution of competitors’ experts, output results, and other factors. Account category/proportion Enterprise account/top expert/amateur Regarding the account category of expert delivery, it is necessary to distinguish it from the above-mentioned level of experts.
Let’s see whether the data source of afghanistan whatsapp phone number the brand’s higher voice in the platform is from the experts delivered by competitors or the brand account of competitors or the traffic of celebrities, etc., to make a more objective evaluation of the data of competitors. Expert type/proportion The type of expert needs to be paid special attention here. Let’s see whether the experts delivered by competitors are all related to the brand category or there are diversified combinations and adjustments? If there is a diversified adjustment, do the notes data obtained by the different categories of influencers they choose show a better trend? If so, what categories are they combined with? Based on the above questions, we can also draw a diversified combination of influencer delivery types and conduct diversified scene combinations for our own delivery.
The analysis of the fans of the competing products mentioned here in the fourth fan part is mainly to examine the audience of the competing products in the site. By simply disassembling the audience portrait of the relevant notes, we can get their basic information such as the ratio of men to women, age distribution, and city. Secondly, we can also get what kind of content they pay more attention to in this brand or category on the Xiaohongshu site, that is, to get their focus, and to feed back our subsequent delivery by capturing the consumer's focus. Finally, we need to look at the crowd tags of fans to judge potential consumer needs through these, and combine diversified scenes for products.
Let’s see whether the data source of afghanistan whatsapp phone number the brand’s higher voice in the platform is from the experts delivered by competitors or the brand account of competitors or the traffic of celebrities, etc., to make a more objective evaluation of the data of competitors. Expert type/proportion The type of expert needs to be paid special attention here. Let’s see whether the experts delivered by competitors are all related to the brand category or there are diversified combinations and adjustments? If there is a diversified adjustment, do the notes data obtained by the different categories of influencers they choose show a better trend? If so, what categories are they combined with? Based on the above questions, we can also draw a diversified combination of influencer delivery types and conduct diversified scene combinations for our own delivery.
The analysis of the fans of the competing products mentioned here in the fourth fan part is mainly to examine the audience of the competing products in the site. By simply disassembling the audience portrait of the relevant notes, we can get their basic information such as the ratio of men to women, age distribution, and city. Secondly, we can also get what kind of content they pay more attention to in this brand or category on the Xiaohongshu site, that is, to get their focus, and to feed back our subsequent delivery by capturing the consumer's focus. Finally, we need to look at the crowd tags of fans to judge potential consumer needs through these, and combine diversified scenes for products.