You’re not alone if your team spends hours sifting through thousands of company profiles on Alibaba, LinkedIn, or Google and still ends up with low conversion rates. With over 2.3 billion businesses globally, the data overload is real — but so is the opportunity.
Most teams fall into a trap: they rely on surface-level filters like “country” or “industry,” missing what truly matters — customer maturity. That’s why we’ve built this actionable framework that combines quantitative metrics (like revenue size and transaction history) with behavioral signals (such as social engagement and email open rates).
Here’s how to build your own scoring model:
Real Result: A Chinese home appliance exporter used this method to filter 12,000 leads down to 1,200 high-potential ones. Their sales conversion rate jumped from 5% to 18% within 90 days — all without increasing ad spend.
Now, here’s how to apply it daily:
Score = (Company Size × 0.3) + (Industry Fit × 0.25) + (Past Orders × 0.25) + (Social Activity × 0.2)Try this now: Go into your current client list and ask yourself — how many of these are actually “pseudo-high-potential”? You might be surprised.
Stop guessing. Start filtering smarter.
Instantly Generate High-Potential Customer Lists with AB客