How GaziAI ranks every buyer by purchase intent, trade history, and sourcing fit — so your team works
the right leads first.
In domestic sales, lead scoring is a well-established practice: assign a numeric value to each prospect based on their
behaviour and profile, then focus your team’s time on the highest-scoring leads. In export sales, the same principle
applies — but the data inputs are fundamentally different.
International buyer scoring must account for trade history, import frequency, product category alignment, geographic
sourcing patterns, company financial health, and live buying signals — not just website visits and email opens. GaziAI’s AI lead scoring engine is purpose-built for this.
How frequently and recently has this company imported goods in your product category? A company with consistent quarterly import activity scores higher than one with sporadic purchases two years ago. The platform analyses cross-border transaction records to establish a reliable activity baseline.
How closely does this buyer's historical sourcing profile match your specific product specifications? A distributor who imports mid-range cotton apparel scores differently than one who imports luxury fashion — even if both are in the textile category.
Is there live evidence that this buyer is actively in the market right now? Intent signals include recent RFQ activity, increased import volumes in the category, and engagement patterns that suggest active sourcing behaviour.
Does the company have the scale, financial profile, and operational infrastructure to actually execute a purchase? A high-intent buyer with limited import capacity scores differently than one with established logistics and payment history.
“Instead of spending months chasing cold leads, we now focus only on buyers with real purchase intent. GaziAI completely transformed our export outreach process.”
✦ Sort your initial buyer list by overall lead score before doing any manual review. This immediately surfaces the
highest-opportunity targets.
✦ Use sourcing fit scores to personalise your outreach — reference the buyer’s actual import history, not a generic
product pitch.
✦ Pay close attention to companies with high purchase intent signals even if their overall company size is smaller than expected. Intent beats size.
✦ Re-run your lead scoring periodically — scores update as trade data changes. A buyer who scored low three
months ago may be actively sourcing now
Lead scoring is a prioritisation tool, not a guarantee. A high-scoring buyer still requires thoughtful, personalised outreach, consistent follow-up, and a competitive offer. What AI lead scoring does is remove the guesswork about who to pursue first — so your team’s time is spent on real opportunities, not cold lists.
See GaziAI’s lead scoring in action —Book a demo at gaziai.com
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