It is difficult for small and medium-sized enterprises to explore overseas markets, and the first task is to find a partner to work with. In recent years, with the development of big data technology, countries and enterprises are accumulating and sharing data resources, which is of great significance for small and medium-sized enterprises to open overseas channels.
Data**abundant and efficient.
Logistics and entry-exit data are abundant, including the types, quantities, and countries of import and export commodities announced by the customs and statistical departments of various countriesReal-time trading orders provided by e-commerce platforms;Social** sharing of business information, etc. These data cover enterprises from all over the world, with high gold content, providing valuable clues for small and medium-sized enterprises to expand overseas.
At the same time, the means of data collection and analysis are also constantly improving, using artificial intelligence and other algorithms, can quickly match enterprise products and overseas needs, identify potential customers, and greatly improve the efficiency of obtaining effective customer information.
Low cost and high efficiency.
Different from the traditional way of customer expansion, the use of data services does not need to capture information or understand overseas rules for a long time, nor does it need to go through the process of customer expansion, and can directly obtain the target customer list. At the same time, data services adopt a pay-as-you-go or low-cost pricing model, which is much lower than the cost of long-term operation of social platform accounts and search ads. For a small fee, you can get the value.
The information is true and reliable.
The data is entered for the first time in the enterprise and the information has high gold content and strong authenticity. Compared with providing customer information through intermediaries, it is easier for enterprises to trace their import and export records of goods obtained by third-party data platforms, so as to verify the strength and quality of enterprises. This is of great significance to small and medium-sized enterprises that are new to going abroad.
Personalized recommendations.
On the basis of collecting and classifying massive data, artificial intelligence and other algorithms are used for processing, which can accurately match target customers according to the characteristics of enterprise products. For example, you can select multiple dimensions such as country, industry, and product classification to identify the key customer groups of this product, and the coverage rate is high. Compared with foolish customer acquisition, this method is more in line with the individual needs of small and medium-sized enterprises.
Caveats are required.
1.Choose a reputable third-party data platform to avoid the difficulty of distinguishing between true and false data
2.Understand platform data** and update cycles so that information becomes stale and unrealistic
3.Use multiple channels to cross-verify the quality of customer acquisition, and don't rely too much on a single platform;
4.With actual contact and communication, channel is only the first step, and relationship marketing requires long-term investment.
5.Pay attention to the laws and regulations of various countries to avoid illegal access to and use of personal privacy data.
In short, the use of big data services can help small and medium-sized enterprises quickly carry out accurate overseas customer expansion, effectively reduce costs and risks, and is a feasible method for worth trying in the future. How to apply it reasonably, will usher in more business opportunities.