Starfish Trade has 1 billion + customs transaction data, 120 million enterprise data, 200 million + enterprise contact data, 10 million real buyers. Covering 200+ countries and regions, 95% of foreign trade focus on expanding the market, we can mine target customers according to industry, business scope and other aspects.
Method of calculation:
Based on 52 workweeks per year;
Annual savings 52 (work weeks) * 1.5 (work days) / 5 (work days per week) = 15.6 (weeks)
10K (average salary) for a 10-person sales team * 15.6 (cycles saved per year) / 4 (weeks per month) = 3.9 (months) * 10 (number of people) = $390,000 (dollars)
Based on powerful data mining capabilities and AI algorithm models, it helps foreign trade enterprises to quickly find target customers, efficiently realize customer back-tuning, and comprehensively grasp the market situation. Through the deep learning and data mining of huge amounts of data, it can find some important characteristics of potential customers, such as industry, company size, product demand and so on. At the same time, it can also dig out the interaction patterns of customers and competitors on social media and networks, and understand the changing trends of customer needs.
