You've run the numbers twice. Vendor A: $1,050 cost per signed case. Vendor B: $1,050 cost per signed case. Budget review is in three days and you need to decide where to increase spend. Cost per case got you here — but it can't finish the job on its own.
That number is an average. It collapses volume, CPL, and conversion rate into a single figure. Two vendors can arrive at the same cost per case through structurally different paths — and those differences determine which one you should trust with more of your budget.
Related guide: See our complete guide to evaluating PI lead vendors — the 7 metrics that define vendor quality and how to build a vendor scorecard.
Looking for the complete guide? This article is part of our comprehensive Cost Per Case Guide for PI Firms — covering calculation formulas, benchmarks by firm size, and step-by-step tracking methodology.
Why Cost Per Case Doesn't Tell the Whole Story
Here's a simple illustration. Two vendors both land at $1,050 cost per case:
- Vendor A: 200 leads at $60 CPL, 5.7% conversion → $1,050 per case
- Vendor B: 50 leads at $185 CPL, 22% conversion → $1,050 per case
Same headline number. But Vendor A is a high-volume, low-conversion operation. Vendor B runs lean — fewer leads, higher quality, much better conversion. Scale Vendor A and you absorb massive intake burden. Scale Vendor B and you sign more cases with less effort. The cost per case looks identical. The scaling dynamics are completely different.
Beyond structure, there are five dimensions where equal-CPC vendors genuinely diverge. These are the tie-breakers that drive the decision.
$1,050
Cost Per Case
Both vendors — identical
$85K
Vendor A Avg Settlement
Higher severity mix
$35K
Vendor B Avg Settlement
Lower severity mix
$1,050
Cost Per Case
Both vendors — identical
$85K
Vendor A Avg Settlement
Higher severity mix
$35K
Vendor B Avg Settlement
Lower severity mix
Dimension 1: Case Severity Distribution
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Equal cost per case means nothing if one vendor's cases settle at $85,000 and the other's settle at $35,000. Severity — catastrophic injuries, surgical cases, significant soft-tissue claims — drives settlement value. A vendor delivering high-severity cases at the same acquisition cost is generating dramatically more revenue per marketing dollar. The cost per case is the same. The revenue per case is not.
Pull case type or injury category data from your case management system, segmented by source. Build a severity distribution table: what percentage of each vendor's signed cases fall into your top, mid, and low tiers? The vendor with the higher-severity distribution wins the tie.
Dimension 2: Conversion Rate Trends
A cost-per-case snapshot captures today. Conversion rate trends tell you where both vendors are headed.
If Vendor A's conversion rate is climbing — 6%, 8%, 10% over three months — and Vendor B's is sliding — 10%, 9%, 8% — the 90-day outlook looks nothing like the current tie. The vendor improving now will produce a better cost per case next quarter. The one declining will produce a worse one.
One caveat: conversion trends can reflect intake behavior as much as vendor quality. If your intake process changed during the measurement window — response speed, staffing, qualification criteria — verify the trend belongs to the vendor, not to you.
Dimension 3: Geographic Fit
Not all geographies pay equally in PI law. Cases from counties with larger juries, plaintiff-friendly courts, and stronger award histories settle for more — even with identical injuries. A vendor concentrated in your highest-value counties delivers superior ROI at the same cost per signed case.
Pull each vendor's signed cases by county or region and compare against your priority territory map. A vendor skewed toward deprioritized counties creates downstream cost: local counsel, cases outside your firm's litigation strengths, lower expected settlements. Geographic fit is a multiplier on the cost per case number.
Dimension 4: Consistency of Delivery
Averages hide variance. Two vendors can produce identical five-month averages while behaving completely differently month to month.
Vendor A signs 8, 9, 10, 9, 8 cases over five months. Vendor B signs 15, 2, 12, 3, 13. Same average. Completely different operational reality. Vendor B's swings force your intake team to overstaff in peak months and scramble in slow ones. Partner reporting loses credibility. Signed-case projections become guesswork.
Consistent delivery has real economic value: more accurate staffing, more predictable cash flow, more credible budget conversations. Calculate the standard deviation of monthly signed cases over six months. A vendor at SD 1.5 around a 9-case average is worth more operationally than one at SD 5.0 — even at the same cost per case.
Dimension 5: Rejection Rate
Rejected leads never appear in your cost-per-case denominator — they don't become cases. But they're not free. Every hour your intake team spends on unreachable or unqualified leads is an hour not spent on convertible ones.
At 400 to 600 leads per month, a 15-point difference in rejection rate means 60 to 90 fewer qualified lead interactions monthly. That's real intake capacity — paid for but never recovered. A vendor at 12% rejection is meaningfully more efficient than one at 27%, even when the cost per signed case matches exactly.
When CPC is tied, the vendor with the lower rejection rate is the better operational investment.
| Dimension | Vendor A | Vendor B | Advantage | |
|---|---|---|---|---|
| Case Severity (% High) | 40% | 22% | Vendor A | |
| Conversion Trend | Flat (9%) | Up (6%→9%) | Vendor B | |
| Geographic Fit | 75% priority | 55% priority | Vendor A | |
| Delivery Consistency (SD) | 1.8 cases | 4.2 cases | Vendor A | |
| Rejection Rate | 12% | 21% | Vendor A |
Building the Tie-Breaker Framework
When two vendors are tied on cost per case, score each on the five dimensions: advantage (+), neutral (0), or disadvantage (−).
- Case severity distribution: which vendor produces higher-severity cases?
- Conversion rate trend: which vendor is improving?
- Geographic fit: which vendor's cases align better with your priority counties?
- Delivery consistency: which vendor has lower month-to-month variance?
- Rejection rate: which vendor sends fewer unqualified leads?
More plus marks gets the budget increase. More negatives gets a hold or reduction. A genuine split means equal budgets and a 90-day re-evaluation with more data.
A Practical Example
Two vendors, both at $1,050 cost per signed case over 90 days. Running the framework:
- Case severity: Vendor A — 40% high-severity. Vendor B — 22%. Advantage: Vendor A.
- Conversion trend: Vendor A flat at 9%. Vendor B climbing from 6% to 9%. Advantage: Vendor B.
- Geographic fit: Vendor A delivers 75% from priority counties. Vendor B, 55%. Advantage: Vendor A.
- Consistency: Vendor A SD 1.8 cases/month. Vendor B SD 4.2. Advantage: Vendor A.
- Rejection rate: Vendor A at 12%. Vendor B at 21%. Advantage: Vendor A.
Final score: Vendor A, 4 to 1. Vendor B has a promising conversion trend worth watching. But the evidence on severity, geography, consistency, and rejection rate clearly favors Vendor A. Vendor A gets the budget increase. Vendor B gets a 90-day monitoring window — if the improving trend holds and the other metrics tighten, revisit at the next budget review.
That's the difference between managing on cost per case and managing with source intelligence. The same number, examined more deeply, produces a clear and defensible decision.