Inefficiency: Traditional methods such as participating in exhibitions and using B2B platforms take too long to acquire customers. For example, you may spend tens of thousands of dollars to participate in exhibitions, but in the end you may only receive a bunch of invalid business cards. Moreover, the email response rate is less than 1%, making it difficult to quickly reach potential customers.
High cost: The cost of developing a single customer may exceed US$500, which is a heavy burden for small and medium-sized enterprises. The high cost often limits their ability to expand their customer base.
Low precision: The market is flooded with junk inquiries, and the customer matching rate is less than 30%, which means a lot of time and resources are wasted on unqualified leads.
AB Ke uses a variety of data sources to automatically and accurately locate potential customers:
Customs data: Track real-time import and export records of more than 180 countries to help identify buyers’ actual needs. For example, it is easy to detect that Mexican customers continue to import hydraulic pumps, helping companies target such customers with real needs.
Social media dynamics: By crawling the information of purchasing decision makers on LinkedIn and Facebook and updating their job changes in real time, for example, when a German automotive parts purchasing manager changes jobs, an early warning can be issued.
Enterprise database: It has information on 500 million enterprises and can intelligently screen customers based on their purchase frequency and scale.
Business registration data: This helps verify customer qualifications and avoid high-risk orders. For example, it can identify fake customers in India.
ABke uses advanced AI technology to automate the customer acquisition process:
Smart screening: Like a "24-hour online detective", machine learning algorithms analyze customer behavior and mark high-potential customers, such as those who purchase at least once a month.
Automated contact: Multilingual chatbots respond 24/7 and automatically send emails based on customer time zones. For example, early morning inquiries from Russian customers can get a quick response, ultimately leading to an order.
Continuous optimization: Dynamically adjust strategies through A/B testing of email titles. For example, changing the email title from "Free Sample" to "Exclusive Offer in Brazil" can increase the open rate to 42%.
Comparison Dimensions | Traditional methods | AB Guest AI |
---|---|---|
accurate | 30% match rate | More than 80% of high-intent customers are screened |
cost | A single customer spends more than $500 | Reduce labor costs by 70% |
Conversion cycle | 3 - 6 months | Develop 100 accurate customers in 3 months (for example: a furniture company case) |
Data Update | Months behind | Daily updated customs data and real-time capture of social media information |
Let’s look at some real-world examples to demonstrate the effectiveness of AB Customer AI:
Case 1: A machinery parts company targeted Brazilian buyers through customs data and used a customized development letter generated by AI to secure an order worth US$200,000 within three months.
Case 2: After a furniture foreign trade company used AB Customer, it added more than 50 potential customers every month and its transaction rate increased from 15% to 25%.
AB customer rapid acquisition engine can significantly improve the efficiency of foreign trade enterprises in acquiring customers, provide guarantee for business growth, and help enterprises stand out in the international market. Seize the opportunity and help you transform and upgrade your foreign trade!