AI Tools
Lead Intelligence
What it does
Lead Intelligence analyses your raw lead data (from Google Sheets, CRM exports, or ad platform downloads) and produces a complete lead quality report. It auto-categorises every lead disposition, calculates your true Cost Per Qualified Lead (CPQL), grades each campaign A-F, and generates actionable recommendations.
Why it matters
Your ad dashboard shows CPL (Cost Per Lead). But CPL does not tell you how many of those leads are actually useful. A ₹120 CPL looks great until you discover 40% are wrong numbers and 20% are not interested. Your real CPQL is ₹300. This tool reveals that hidden cost.
How to use it
- Export your leads from Google Sheets, your CRM, or the ad platform as CSV
- Upload the file to Lead Intelligence
- The tool auto-detects your columns (name, phone, status, campaign, date, etc.)
- Verify the column mapping — the Disposition/Status column is required
- Optionally enter your total ad spend for CPQL calculation
- Click Generate
What it produces
- Quality Funnel — Total leads → Reached → Qualified → Converted, with percentages at each stage
- Disposition Breakdown — Every raw status value normalised into standard buckets (Qualified, Not Reached, Not Interested, Junk, Converted, Follow Up)
- Campaign Grades — Each campaign graded A-F based on qualification rate (A = 60%+ qualified, F = below 15%)
- Cost Analysis — CPL, CPQL, and Cost Per Conversion when spend data is provided
- Insights — 3-5 specific findings (e.g., "Campaign X has 67% junk rate — pause and review targeting")
- Recommendations — Prioritised actions with impact rating (High/Medium/Low)
- Quality Score — Overall lead quality score from 0-100
Standard Disposition Buckets
The AI normalises all your raw values into standard categories:
- "Interested," "Hot," "Follow Up" → Qualified
- "Ringing," "No Answer," "Switched Off" → Not Reached
- "Not Interested," "Declined" → Not Interested
- "Wrong Number," "Irrelevant," "Fake" → Junk
- "Converted," "Purchased," "Enrolled" → Converted