Contents of the cross-border e-commerce international market survey

By Ultraman

The content of international market research is also multifaceted, and cross-border e-commerce companies should conduct research on various issues related to trade. Generally speaking, there are the following points: (1) Country research. Since there are many differences among countries in the world, it is necessary to study the specific conditions of different countries, understand and…

Competition analysis of cross-border e-commerce keywords

By Ultraman

Understanding the value of keywords is just the beginning. The key is to know the degree of competition in the market. To judge the competitiveness of a keyword, you can analyze it from the following points. (1) Look at the number of search results for the keyword Enter the keywords to be optimized in Baidu…

Scope of cross-border e-commerce international market research

By Ultraman

International market research is an indispensable part for cross-border e-commerce enterprises. Without research, cross-border e-commerce enterprises are prone to make wrong decisions in the course of operation. For example, they decide to produce a certain product and spend a lot of money on production, but not many people buy it when they sell it. The…

Cross-border e-commerce data selection rules

By Ultraman

Data selection refers to sorting out products according to changes in market demand, formulating product marketing combinations for target markets, and selecting product groups for key promotion in different cross-border markets. Alibaba International Station has 17 market sites in different languages. It conducts market research on products that need to be promoted in different regions,…

Cross-border e-commerce brand extension strategy

By Ultraman

Brand extension strategy refers to the use of the reputation of a successful brand to launch improved products or new products, including new packaging specifications, fragrances and styles. Brand extension is a basic strategy for brand management. After correct brand positioning, it is necessary to choose the right time to extend the brand. In the…

Strategies for Cross-Border E-Commerce Brand Strategy

By Ultraman

Brand strategy refers to a series of corporate management and marketing methods that can generate brand accumulation, including all elements including 4P and brand identification. Brand strategies mainly include branding strategy, brand user strategy, brand repositioning strategy, brand extension strategy, multi-brand strategy, and corporate image identification system strategy. 1. Branding strategy When making branding decisions,…

Disadvantages of cross-border e-commerce multi-brand strategy

By Ultraman

Although the multi-brand strategy has many advantages, it also has many limitations. ①With the introduction of new brands, their net market contribution rate will show a marginal decreasing trend. The marginal utility theory in economics tells us that as consumers consume more of a commodity, the marginal utility of the commodity shows a decreasing trend.…

Advantages of multi-brand strategy in cross-border e-commerce

By Ultraman

Multi-brand strategy refers to the cross-border e-commerce enterprises operating two or more competing brands at the same time. This strategy was pioneered by Procter & Gamble. Procter & Gamble believes that operating a single brand is not a perfect solution. Because after a brand is established, it is easy to form a fixed impression in…

factors that affect cross-border e-commerce product positioning

By Ultraman

Generally speaking, product positioning depends on four factors: target market positioning, product demand positioning, product testing, and marketing mix positioning. (1) Target market positioning. Determine the overseas target market through big data and determine the subdivided consumer groups, that is, understand who to serve. For example, the mid-to-high-end markets in developed countries in Europe and…

Big data analysis technologies commonly used in cross-border e-commerce

By Ultraman

Big data has the characteristics of large data volume, fast speed, complex types, different data structures and low value distribution density. Therefore, big data analysis has become a challenging task. At this time, some technologies need to be used to analyze big data in order to obtain a lot of intelligent, in-depth and valuable information.…