Marketing leaders at personal injury firms are measured on leads, cases, and sometimes conversion rates. But the metrics that drive the most important conversations — budget approvals, vendor negotiations, partner reporting — are financial metrics. And most marketing directors don't own them.
This isn't a skills gap. It's a data gap. The financial metrics that matter for PI marketing don't live in marketing platforms — they require connecting spend data to case data to settlement data across systems that have never been designed to talk to each other.
This article identifies the six financial metrics every PI marketing leader should own, explains what each one reveals, and shows how to calculate each one even without a dedicated technology platform.
Metric 1 — Blended Cost Per Signed Case
Definition: Total marketing spend divided by total signed cases in the same period.
Why it matters: This is the foundational financial metric for PI marketing. It translates marketing spend into client acquisition cost — the language that managing partners and business owners use to evaluate any investment.
How to calculate it:
Blended cost per case = Total marketing spend / Total signed cases
If your firm spent $210,000 in March and signed 67 cases, your blended cost per case is $3,134. Track this monthly, compare it year-over-year, and set a target range. Most PI firms target cost per case between 10–20% of their average net fee per case.
What good looks like: Stable or declining cost per case over time, with variance explained by intentional changes in vendor mix rather than unmanaged drift.
Metric 2 — Cost Per Signed Case by Vendor
Definition: Spend with each individual vendor divided by signed cases attributable to that vendor.
Why it matters:The blended number tells you how the marketing function is performing overall. The per-vendor breakdown tells you which parts are working and which aren't.
A firm with a healthy blended cost per case can still be losing money on two or three vendors while winning on the others. Without per-vendor data, those losses are invisible.
How to calculate it:
Vendor cost per case = Vendor spend / Cases signed from that vendor
Requires lead source tagging in intake — each signed case must carry the originating vendor. Once that data is in place, the calculation is straightforward.
What good looks like: The ability to rank every vendor by cost per case and articulate which are above and below target — and why.
Metric 3 — Marketing ROI (Rolling 18-Month)
Definition:Net attorney fees collected over a trailing 18-month period divided by total marketing spend over the same period. RevenueScale's marketing ROI dashboard is designed specifically to calculate this metric for PI firms, accounting for the settlement lag that makes standard analytics tools inadequate.
Why it matters:This is the number managing partners most want to see — and the one marketing directors are least likely to have. It answers the question “is the marketing investment producing more revenue than it costs?” in a single, defensible figure.
The rolling 18-month window accounts for the settlement lag. Cases signed in the last few months haven't settled yet — using 18 months smooths the timing so you're comparing comparable spend and revenue periods.
How to calculate it:
ROI = Total net attorney fees (last 18 months) / Total marketing spend (last 18 months)
Example: $11.4 million in net fees over 18 months / $2.1 million in marketing spend = 5.4x ROI.
What good looks like: 4x–7x for most PI firm profiles. High-value case mixes (catastrophic injury, mass tort with strong settlements) may see higher. High-volume, lower-value mixes may see lower. The trend matters as much as the absolute number.
Metric 4 — Projected Pipeline Value
Definition: Estimated total net fees from all currently open signed cases, based on historical average net fee by case type.
Why it matters:Because PI firm revenue is invisible for 6–18 months after it's created. Marketing spend produces signed cases; those cases sit in a pipeline that no financial report makes visible. Projected pipeline value bridges the gap between current spend and future revenue.
How to calculate it:
- Pull your historical average net fee by case type. For example: auto accident $14,200, slip and fall $11,800, mass tort $9,600.
- Count your currently open cases by type. For example: 120 auto accidents, 45 slip and fall cases, 30 mass tort cases.
- Multiply and sum: (120 × $14,200) + (45 × $11,800) + (30 × $9,600) = $1,704,000 + $531,000 + $288,000 = $2,523,000 in projected pipeline value.
This projection will have variance — some cases settle higher, some lower, some withdraw. Track your historical accuracy (projected vs. actual) and report it alongside the projection so partners understand the confidence interval.
What good looks like: A pipeline value that is at least 10–15x your monthly marketing spend, growing month-over-month, with projected vs. actual accuracy improving as your historical data set matures.
Metric 5 — Average Net Fee Per Signed Case by Lead Source
Definition: Average net attorney fee from settled cases that originated from each lead source, calculated over a trailing 24-month period. This is tracked automatically by RevenueScale's case analytics, which connects settlement data to originating lead sources across your full case history.
Why it matters:This is the metric that reveals whether your vendors are sending you valuable cases or cheap cases. It's the difference between optimizing cost per case (efficiency) and optimizing value per case (profitability).
A vendor with a $2,800 cost per case looks better than a vendor with a $3,400 cost per case — until you discover the first vendor's cases average $9,000 in net fees and the second vendor's cases average $21,000. Settlement value inverts the comparison entirely.
How to calculate it:
Requires settlement data matched to case source data. For each settled case, you need the net fee and the originating vendor. This is the hardest metric to calculate without intentional data architecture, but it is the most strategically valuable one.
What good looks like:Knowing the average net fee for each vendor's cases with at least 15 data points per vendor. Using that data to set differentiated cost per case targets — higher for vendors with high case value, lower for vendors with lower case value.
Vendors above the $4,800 break-even threshold are consuming excess capital
Metric 6 — Marketing Expense as a Percentage of Projected Revenue
Definition: Total marketing spend divided by projected pipeline value of cases signed from that spend, expressed as a percentage.
Why it matters: This metric frames marketing as a revenue investment rather than an operating expense. It answers the question: for every dollar we expect to generate in net fees, how much are we spending to acquire the client?
Most PI firms that track this carefully find they're spending somewhere between 12–22% of projected net fees on marketing. Firms that are consistently above 25% are acquiring cases at a cost that may be unsustainable as overhead and case costs are factored in. Firms below 10% may be underinvesting in growth.
How to calculate it:
Marketing as % of projected revenue = Monthly marketing spend / (Signed cases × average projected net fee)
Example: $210,000 spend / $1,010,000 projected pipeline value = 20.8%.
What good looks like: A ratio that is stable over time and within a range your firm has deliberately targeted. Rising ratios mean acquisition costs are growing faster than case values — a pattern that needs investigation.
1. Blended CPC
$3,134
Total spend ÷ total signed cases
2. CPC by Vendor
Varies
Source-level cost accountability
3. Rolling 18-Mo ROI
5.4x
Net fees ÷ marketing spend
4. Pipeline Value
$2.5M
Projected fees from open cases
5. Net Fee by Source
Varies
Settlement value by vendor
6. Marketing as % Rev
12-22%
Spend ÷ projected revenue
How to Use These Metrics Together
These six metrics form a complete picture of marketing financial performance when read together:
- Metrics 1 and 2(cost per case blended and by vendor) tell you whether you're acquiring cases efficiently.
- Metric 3 (rolling ROI) tells you whether your marketing investment is profitable over time.
- Metric 4 (pipeline value) tells you whether current marketing is building future revenue.
- Metric 5(net fee by lead source) tells you whether the cases you're acquiring are worth what you're paying.
- Metric 6 (marketing as % of revenue) provides the financial frame that contextualizes all the others.
A marketing director who owns all six metrics, and can speak to each one with current data, has everything needed to run the marketing function as a financially accountable growth engine — not just a lead generation cost center.
Blended Cost Per Case
Achievable in 30 days — you likely have the inputs already
Cost Per Case by Vendor
Requires lead source tagging in intake
Rolling 18-Month ROI
Pull settlement data from accounting
Projected Pipeline Value
Calculate historical avg net fee by case type
Net Fee Per Lead Source
Requires persistent source tagging through settlement
Marketing as % of Revenue
Follows naturally from metrics 4 and 5
Where to Start If You Don't Have These Numbers Yet
If you can't calculate all six metrics today, don't try to solve everything at once. Prioritize in this order:
- Blended cost per case (you probably have the inputs already)
- Cost per case by vendor (requires lead source tagging in intake)
- Rolling 18-month ROI (requires pulling settlement data from accounting)
- Projected pipeline value (requires historical average net fee by case type)
- Average net fee per lead source (requires persistent source tagging through settlement)
- Marketing as % of projected revenue (follows from 4 and 5)
Each step builds the data infrastructure for the next. The first two metrics are achievable in 30 days for most firms. The full set, with reliable settlement attribution, typically takes 12–18 months to build properly — but the value compounds at every step along the way.