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The arrival of the new media era has brought new publicity ideas to enterprises, enriched marketing methods and channels, and allowed brand and product information to be delivered to consumers in a more comprehensive and rapid manner, thereby achieving more efficient and comprehensive marketing. Effect. Through digital means, brands can better find target audiences, provide personalized interactive experiences, and achieve precision marketing. Among them, social media platforms are the main platform for Perfect Diary brand communication. Perfect Diary can be said to be a successful example of social media marketing. Through short videos, grass planting notes, combination of pictures and text, and social marketing, it has been widely used on Douyin, Kuaishou, Xiaomi, etc. Conduct all-round publicity on social media such as Red Book and WeChat to cater to the viewing habits and consumption habits of the younger generation on social media, communicate more directly with users, understand consumer psychology and needs, provide products that meet user requirements in a timely manner, and fully penetrate The social media ecology of the younger generation establishes deeper connections with consumers through social media.

Gravity modelling is a necessary process of applying gravity data to practice, and a vital research area in resource exploring and geodesy. Inverse distance weighted (IDW) interpolation is a widely used algorithm in gravity modelling and many other griding procedures. Based on the gravity anomaly data acquired from the airborne gravimetry over a region in the Northwest of China, IDW method is analysed and implemented with varying calculation radius in gravity modelling. The results show that over the study area, with a proper calculation radius, the IDW can give a more precise prediction than quadric surfaces fitting (QSF) method. The distances between sampled points and unsampled points are the only information taken into consideration in the IDW interpolation, so the analysis of the influence by changing the calculation radius of the unsampled points in this test provides a new research direction of error eliminating when using IDW.

This study applies the Sequential Panel Selection Method to investigate whether the growth rate of total insurance premium is independent of their size, as postulated by Robert Gibrat’s (1931) Law of Proportionate Effects. Time-series data for the total insurance premium of 35 insurance companies in China during the December 2005 to May 2011 period are used. Since other panel-based unit root tests are joint tests of a unit root for all members of a panel and are incapable of determining the mix of I(0) and I(1) series in a panel setting, the SPSM, proposed by Georgios Chortareas and George Kapetanios (2009), classifies a whole panel into a group of stationary series and a group of non-stationary series. In doing so, we can clearly identify how many and which series in the panel are stationary processes. The empirical results from the SPSM tests unequivocally indicate that Gibrat’s Law is only valid for one of these 35 companies studied here. Our study has important policy implications for insurance regulation, insurance market construction, and policyholder protection.