Data analysis

Introduction Traces to the source of the hot topic of Little Red Book, how the brand finds the source of the trend and works accurately! In the first quarter of 2024, Xiaohongshu platform "manual" notes and other related notes, compared with 2023, the total number of business notes

"H2H (human to human)" means "person to person marketing". It emphasizes the importance of interpersonal interaction and emotional connection in business activities. This concept believes that the consumer is not only an indifferent and rational economic entity, but also an individual with emotions, values and interpersonal relationships.

In March 2024, what hot topics will appear on the popular track of Little Red Book? How can the brand and talent correctly rub off the hot spots?

The upsurge of Loopy has not yet subsided, and the Japanese animation character chiikawa has come to the fore, slowly moving towards high traffic. In this issue, the editor will start from the hot topic of Little Red Book # chiikawa, and provide you with the methods of disassembling crowd portraits and planting brand grass through the data analysis tools of Little Red Book.

The "plan" of a year lies in spring. Spring marketing is the first horn of brand marketing.

Users are becoming more and more conscious, no longer "what the TV feeds, the audience will eat". They "resist" the content instilled by social media in their own way. What enlightenment does this change give us? How should brands understand users?

At the end of the year, there was a strong demand for gifts from users. Little Red Book launched the "gift season", and brands entered the market one after another. The number of views of topics online exceeded 900 million in 18 days.

Ice and snow sports and ice and snow travel extend from the small circle and gradually become popular. Coincidentally in winter, how can brands use the "ice and snow craze" to do brand marketing on the Little Red Book?

Recently, the popular online "Princess Please" has become popular on the Internet. In the past 90 days, the number of notes related to "Princess Please XX" has reached 122200+in the Little Red Book, and the number of interactions has reached 20.46 million+.

On October 28, the second live broadcast of Yi Nengjing, the buyer of Xiaohong Bookbeauty, was watched by 1.66 million people. The average time for fans to watch it was 12 minutes and 52 seconds. Eleven international brands with low domestic volume sold out in the live broadcast room.

Looking at the makeup trend in 2023, # pseudo plain makeup, # mama's natural makeup, # CleanMakeup, # boiled water makeup, # low saturation makeup, # freckle makeup... All kinds of makeup styles can not be separated from one key word - original sense.

In the past year, the number of bloggers over 50 years old of Little Red Book has increased by more than 100% year on year. Compared with other social media platforms, what are the characteristics of Xiaohongshu's middle-aged and elderly bloggers?

Contemporary young people fall in love with McDonald's "pauper set meal", like to drink 9.9 yuan of Ruixin freely, like to become a "food basket" with primary school students, like to buy leftover blind boxes sold at low prices, like to check the group purchase set meal before going out to eat, it seems that all the money saving techniques are familiar to him.

This year, young people seem to be particularly "nostalgic". On the occasion that only the elderly once appeared, a large number of young people poured into the scene. The two groups of people who seemed to be very different in age, but were "the same frequency" regardless of age? Wearing shoes for the elderly, going to the university for the elderly... Young people start the elderly mode and put on foot strength

In this article, we will talk about the common expressions of data analysis: 1. Absolute number and absolute logarithm of relative number: it is a comprehensive indicator reflecting the total scale and overall level of the overall objective phenomenon at a certain time and place, and it is also a common indicator in data analysis. For example, annual GDP, total population

Source: Han Xiaofairy Preface The author is the payment product manager. The content of this article is based on his practical experience in building payment business data analysis from 0 to 1 in the payment field. From a white-collar contact with the payment business, looking at the data without rules and regulations, to starting to look at the surface data, and then