Revenue per lead measures lead value
Revenue per lead equals revenue divided by leads. It shows average value from each captured lead. In January, 48,000 revenue came from 960 leads. That produces 50.00 revenue per lead. Use the same time window each cycle. Keep refunds and credits consistent.
Month comparisons reveal directional change
February revenue reached 62,500 with 1,100 leads. Revenue per lead becomes 56.82 for that month. March delivered 71,000 revenue across 1,320 leads. Revenue per lead becomes 53.79. A small decline can impact quarterly targets. Track changes by channel and campaign.
Qualified leads strengthen quality tracking
Qualified lead counts reduce noise from unfit contacts. February shows 510 qualified leads from 1,100 total leads. Revenue per qualified lead becomes 122.55. March shows 600 qualified leads and 118.33 revenue per qualified lead. Watch the gap between qualified and total leads. A wider gap suggests scoring friction.
Cost inputs add efficiency context
Add marketing and sales spend for full efficiency checks. February spend totals 9,200 plus 5,100. Total spend becomes 14,300 for the period. Cost per lead becomes 13.00 using 1,100 leads. Cost per qualified lead becomes 28.04 using 510 qualified leads. Compare cost per lead to revenue per lead.
Profit and ROI guide scale decisions
Profit equals revenue minus total spend. February profit becomes 48,200 using sample values. ROI uses profit divided by spend. February ROI becomes 336.71 percent. High ROI can still mask weak lead quality. Always review close rates and deal size.
Forecasting uses conversion inputs and trends
Enter a conversion rate to estimate expected deals. A 3.8 percent rate on 1,100 leads suggests 41.8 deals. Submit each period to build a visible trend line. Watch revenue per lead and cost per lead together. When revenue per lead drops, investigate speed to lead. When cost per lead rises, rebalance spend quickly.