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v3.1
Load a custom JSON data file to analyze different company datasets.
Expected format: JSON file with results array containing company objects.
{
"metadata": { ... },
"results": [
{
"company_name": "Example Corp",
"annual_revenue": "$100B",
"hq_country": "USA",
"scores": { "overall": 72, ... }
}
]
}
Load data to view methodology details.
Load data to view data quality metrics.
| Expected Field | Incoming Variable | Preview |
|---|
Ready to Load Leads
Upload price_builders_lead_list.json to generate lead intelligence, opportunity scores, and the full permit pipeline.| Address | Project Type | Value | ZIP | Expired | Lead Score | Action |
|---|---|---|---|---|---|---|
|
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Ready to Load Leads Upload price_builders_lead_list.json to populate the pipeline with 2,790 qualified leads. | ||||||
Each lead is scored 0–100 using up to four weighted components. When floor area data is available: Value Score (35%), Recency Score (25%), Location Score (25%), Floor Area Score (15%). Without floor area: Value (40%), Recency (30%), Location (30%).
Value Score uses a logarithmic scale based on project valuation — a $1M project scores ~90, a $100K project scores ~55, and anything under $5K scores 0. Recency Score reflects how recently the permit expired: within 6 months scores 100, over 5 years scores 20. Location Score is based on city desirability within Price Builders’ service area (Rancho Santa Fe = 100, Del Mar = 95, down to Valley Center = 55). Floor Area Score uses a log scale from 100 to 5,000+ sq ft.
Scores of 86+ are Excellent, 71–85 High-Quality, 51–70 Moderate, and below 50 Low Priority. Click any row to see the full score breakdown.
| Rank | Company | Industry | Overall | Institutional | Personal | Temporal | Actions |
|---|
v3.1