Real estate agents spend 40% of their time on leads that will never convert. AI lead qualification changes this by scoring every lead within seconds of first contact — before a human agent spends a single minute.
How AI qualification works
Zold's qualification agent reads the entire conversation history and extracts: budget range, preferred area, unit type, number of bedrooms, payment method preference, buying purpose (investment vs. personal), and timeline.
It then compares these against your available inventory and assigns a score from 0–100. Leads scoring above 70 are flagged as hot and trigger an SLA timer for immediate agent assignment.
The 7 qualification fields
- Budget — extracted from explicit mentions ("my budget is 3M EGP") or inferred from area/unit type preferences
- Area — matched against your project locations
3. Unit type — apartment, villa, twin house, office, etc.
4. Bedrooms — 1BR, 2BR, 3BR, 4BR+, penthouse
5. Payment method — cash, installment (down payment %), mortgage
6. Buying purpose — investment (rental yield focus) vs. personal use (school district, amenities)
7. Timeline — immediate, 3 months, 6 months, 1 year+
Accuracy benchmarks
In testing across 10,000 Egyptian Arabic conversations, Zold's qualification agent achieves 82% field extraction accuracy. The most challenging field is timeline (74% accuracy) due to cultural indirectness in Egyptian Arabic.
Human-in-the-loop approval
Every AI qualification result requires agent review before being applied. Agents can accept, edit, or reject the AI's assessment. This creates a feedback loop that improves accuracy over time.
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