Cost per case is the right metric for evaluating lead vendor performance. But what happens when two vendors produce the same cost per case? You can't just flip a coin. There are meaningful quality differences between vendors that cost per case doesn't capture — and those differences become the deciding factor when the headline number is a tie.
Here's how to differentiate between two vendors with identical cost per case figures and make a confident budget decision.
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
Cost per case is an average. It collapses lead volume, CPL, and conversion rate into a single number. Two vendors can arrive at the same cost per case through very different paths:
- Vendor A: 200 leads at $75 CPL, 8% conversion → $938 per case
- Vendor B: 80 leads at $150 CPL, 20% conversion → $750 per case
Wait — those aren't actually the same. But close them up: adjust the numbers until both vendors land at $1,100 per signed case. Now you have two vendors at identical cost per case, one operating at high volume and low conversion, the other at low volume and high conversion. These are structurally different vendors — and they behave differently when you scale them.
Beyond the structural difference, there are five dimensions where equal- CPC vendors genuinely diverge. These are the ones that drive the tie- breaker.
$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
The most important differentiator when CPC is equal is the quality of the cases produced. “Quality” in PI terms means severity: catastrophic injuries, surgical cases, and significant soft-tissue claims settle at higher values than minor soft-tissue cases with disputed liability.
If Vendor A produces cases that settle at an average of $85,000 and Vendor B produces cases that settle at an average of $35,000 — and both have the same cost per signed case — Vendor A is delivering dramatically higher ROI per marketing dollar. The cost per case is the same. The revenue per case is not.
To compare severity distributions, pull case type or injury category data from your case management system, segmented by source. If your system categorizes cases by severity level or case type, you can build a distribution table: what percentage of each vendor's signed cases fall into your top tier, mid tier, and low tier?
The vendor with the higher-severity distribution wins the tie, all else being equal.
Dimension 2: Conversion Rate Trends
A snapshot of cost per case today doesn't tell you which vendor will have a better cost per case in 90 days. Conversion rate trend data does.
Pull the last three months of conversion rate data for both vendors. If Vendor A's conversion rate is trending upward — 6%, 8%, 10% — and Vendor B's is flat or declining — 10%, 9%, 8% — the forward-looking cost per case picture is very different, even if this month's numbers are identical.
The vendor with improving conversion trends is likely to produce a better cost per case in the next quarter. The vendor with declining trends is likely to produce a worse one. When two vendors are tied today, you want the one that's trending toward better performance — not toward equal performance.
A note on cause: conversion rate trends can be driven by vendor behavior (improving or degrading lead quality) or by intake behavior (changing response speed, staffing, or qualification criteria). Before attributing a trend to a vendor, confirm that your intake process has been consistent for both vendor's leads. If your intake team's process changed during the measurement window, the trend may reflect the change, not the vendor.
Dimension 3: Geographic Fit
Not all geographies are created equal in personal injury law. Cases from certain counties — those with larger juries, more plaintiff-friendly courts, higher award histories — are worth more than cases from others, even with identical injuries.
If one vendor consistently delivers leads from your highest-value counties and another delivers leads dispersed across a mix that includes lower- value jurisdictions, the vendor with better geographic fit is delivering superior ROI — even at the same cost per signed case.
To measure this, pull a breakdown of each vendor's signed cases by county or geographic region. Compare the distribution to your firm's preferred territory map. A vendor whose geographic distribution closely matches your priority counties scores better on fit. A vendor whose leads are concentrated in counties your firm deprioritizes creates operational overhead — cases that require local counsel, cases outside your firm's litigation strengths, cases with lower expected settlement values.
Dimension 4: Consistency of Delivery
Averages hide variance. Two vendors can have the same average monthly case output while behaving very differently month to month.
Vendor A might produce 8, 9, 10, 9, 8 signed cases over five months. Vendor B might produce 15, 2, 12, 3, 13 cases over the same period. Their five-month average is nearly identical. But Vendor B's erratic delivery creates real operational problems: your intake team overstaffs in the good months, understaffs in the bad ones, and your signed case projections are unreliable.
Consistent delivery has economic value. It makes staffing decisions more accurate, cash flow more predictable, and partner reporting more credible. When CPC is equal, prefer the vendor with lower month-to-month variance in case output.
To calculate variance, look at the standard deviation of monthly signed cases over the last six months. A vendor with a standard deviation of 1.5 cases around a 9-case average is more operationally valuable than a vendor with a standard deviation of 5 around the same average.
Dimension 5: Rejection Rate
Even when the final cost per case is the same, rejection rate tells you something important about how efficiently each vendor's leads move through your intake process.
A vendor with a 25% rejection rate is generating $25 of intake labor cost for every $75 of case revenue — paid in staff time, contact attempts, and system logging for leads that will never produce revenue. A vendor with a 10% rejection rate is much more intake-efficient.
The cost of rejected leads isn't captured in the cost-per-case calculation because rejected leads don't become cases — they're excluded from the denominator. But they're not free. Intake capacity is finite. Every hour your intake team spends on unreachable or unqualified leads is an hour not spent on convertible ones. At scale — 400 to 600 leads per month — a 15-point difference in rejection rate translates to 60 to 90 fewer qualified lead interactions per month.
When CPC is equal, the vendor with the lower rejection rate is a 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, run them through each of the five dimensions above and assign a simple advantage (+), neutral (0), or disadvantage (-) for each:
- 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 has a lower rejection rate?
Count the advantages. The vendor with more plus marks gets the budget increase. The vendor with more negative marks gets the budget hold or reduction. If it's genuinely a split, allocate equal budgets and re-evaluate in 90 days when you have more data.
A Practical Example
Two vendors, both at $1,050 cost per signed case over the last 90 days. Running the tie-breaker framework:
- Case severity: Vendor A has 40% high-severity cases; Vendor B has 22%. Advantage: Vendor A.
- Conversion trend: Vendor A is flat at 9%; Vendor B is up from 6% to 9%. Advantage: Vendor B.
- Geographic fit: Vendor A delivers 75% of leads from your priority counties; Vendor B delivers 55%. Advantage: Vendor A.
- Consistency: Vendor A standard deviation of 1.8 cases/month; Vendor B standard deviation of 4.2. Advantage: Vendor A.
- Rejection rate: Vendor A at 12%; Vendor B at 21%. Advantage: Vendor A.
Result: Vendor A, 4 advantages to 1. Despite Vendor B's improving conversion trend, the evidence across severity, geography, consistency, and rejection rate favors Vendor A. Vendor A gets the budget increase. Vendor B gets a 90-day monitoring window to see if the improving trend holds and the other metrics improve.
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.