Lead value is what a lead is worth to your business before it closes, and the base formula is simple: lead value = average deal value × lead-to-close rate. If your average deal is $8,000 and you close 10% of leads, each lead is worth $800. That single number already improves most campaign decisions — but the real leverage comes from computing value per lead segment, or per individual lead, using the answers each lead gives. Here's the full method.
The base formula, and its limits
Lead value = average deal value × close rate. Work it from your last 6–12 months of data: total closed revenue from leads, divided by total leads. A business that closed $240,000 from 300 leads has a blended lead value of $800 — meaning any campaign acquiring leads under $800 of fully-loaded cost was profitable on average.
The limit is in the word "average." That $800 blends the $30,000 remodel inquiry with the price-shopper who never had a budget. Optimizing to the blended number means overpaying for bad segments and underbidding on great ones — the average is true for the portfolio and false for every individual lead in it.
Segment the value: the same formula, per answer
The fix is running the same formula within segments defined by what leads tell you. Split your historical leads by their qualification answers — budget range, timeline, job type — and compute deal value × close rate within each bucket. The spread is usually dramatic:
- Urgent + high budget: e.g. 25% close rate × $14,000 average job = $3,500 per lead.
- Standard fit: 12% × $4,000 = $480 per lead.
- Long timeline, low budget: 3% × $1,500 = $45 per lead.
Make it dynamic: score answers into a value at capture
Segmented values become operational when they're computed at the moment of capture. In a scored funnel, each answer carries points derived from your segment math — the $450+ electric bill scores what your data says that answer is worth. By the final step, the points map to an estimated dollar value attached to that individual lead. That's dynamic lead value: the formula, applied per respondent, in real time.
Two things become possible the instant leads carry values. Routing by worth — the $3,500 lead rings a closer's phone; the $45 lead gets a polite email sequence. And value-based ad optimization — instead of telling Meta "a lead happened," your conversion events say what it was worth, and the algorithm starts hunting your $3,500 profile instead of your cheapest one.
A worked example, end to end
A solar installer's last 12 months: 800 leads, $1.9M closed. Blended lead value: $2,375. Segmented by their two key questions (bill size, timeline), history shows: high-bill + near-term closes at 22% × $28,000 = $6,160 per lead; mid-bill at 9% × $19,000 = $1,710; low-bill at 2% × $12,000 = $240.
They set funnel scores to mirror those numbers. Now a $75/click Meta campaign stops being judged on its $95 CPL — it's judged on the value mix it produces. One ad set delivers $240-grade leads at $70 each (a money-loser dressed as a bargain); another delivers $6,160-grade leads at $180 (the actual winner). Without per-lead value, those two look identical in Ads Manager — and budget flows to the wrong one.
Keep the model honest
Three maintenance rules. Revisit the segment math quarterly — close rates drift with seasons and sales staffing. Don't over-engineer: two or three questions with real predictive spread beat ten speculative ones. And validate against outcomes: if your "high-value" leads aren't closing at the modeled rate, the scores are flattering you — fix the model, not the report.