Why Average Settlement Amount Per Lead Source Is the Metric That Changes Everything

If you've been evaluating your lead vendors on cost per case, you're ahead of the 80% of PI firms still using cost per lead as their primary metric. But cost per case only tells you half the story.

The metric that completes the picture — and routinely changes which vendors firms invest in — is average settlement amount per lead source. Here's why it matters and how to start using it.

The Problem With Optimizing on Cost Per Case Alone

Cost per case is a better metric than cost per lead because it connects spend to actual retained clients instead of just phone calls. But it still has a fundamental blind spot: it treats every case as equally valuable.

Two vendors can have identical cost per case numbers and wildly different value profiles. Consider this example:

• Vendor A: $3,200 cost per case. Average net fee per settled case: $22,000.
• Vendor B: $3,200 cost per case. Average net fee per settled case: $8,500.

On cost per case, these vendors look identical. On ROI, Vendor A returns $6.88 for every dollar spent. Vendor B returns $2.66. If your firm spends $100,000/month with each vendor, Vendor A produces $22,000 in average case value per $3,200 spent — Vendor B produces $8,500.

Optimizing on cost per case without settlement data means you might be cutting Vendor A and scaling Vendor B, and never know it.

Why This Metric Has Been Impossible for Most Firms to Track

The reason average settlement amount by lead source isn't standard in PI marketing is structural, not conceptual. Three things make it hard — and they're exactly the problems that RevenueScale's case analytics is designed to solve:

The 6–18 Month Lag

Cases signed from a marketing campaign in February 2025 won't settle until late 2025 or 2026. Standard analytics tools can't bridge a gap that long. The data gets disconnected somewhere between the marketing event and the settlement event.

The Data Silo Problem

Settlement data lives in accounting. Lead source data lives in intake. Case data lives in your case management system. Nobody designed these systems to talk to each other, and most firms have never built the connection manually.

Attribution Degradation

Even when firms tag leads with a source at intake, the tag often doesn't follow the case all the way through. A case that takes 18 months to settle has usually passed through three or four handoffs in your system by the time it closes — and the source tag can get lost at any of them.

How to Calculate Average Settlement Amount Per Lead Source

Despite the structural challenges, the calculation itself is straightforward once you have the data:

Average settlement per lead source = Total net attorney fees from source's cases / Total settled cases from that source

To calculate this, you need three things in place:

1. Persistent lead source tagging:Every case file must carry the originating vendor from first contact through settlement. This requires intentional data architecture — a required “lead source” field that gets populated at intake and never overwritten.
2. Settlement data in your system: When cases settle, the settlement amount needs to be recorded in a system that can be queried alongside the case source. For most firms, this means a custom field in the case management system or a manual reconciliation process with accounting.
3. Enough settled cases to be statistically meaningful:Average settlement data from three cases isn't reliable. You need at least 15–20 settled cases per vendor before the average is meaningful. For lower-volume vendors, this may take 18–24 months to accumulate.

What the Data Typically Shows

When firms first calculate average settlement amount by lead source, the spread is almost always wider than expected. Here's a realistic example of what a mid-sized PI firm might see across five vendors after 18 months of data:

• Vendor A (digital, targeted): 38 settled cases, average net fee $19,400, cost per case $2,800. ROI: 6.9x
• Vendor B (pay-per-lead, broad): 52 settled cases, average net fee $11,200, cost per case $2,600. ROI: 4.3x
• Vendor C (TV/radio, mass market): 61 settled cases, average net fee $9,800, cost per case $3,100. ROI: 3.2x
• Vendor D (referral network): 21 settled cases, average net fee $24,500, cost per case $4,200. ROI: 5.8x
• Vendor E (pay-per-call, broad): 44 settled cases, average net fee $7,600, cost per case $2,400. ROI: 3.2x

At a glance, Vendor E looks like your best performer on cost per case ($2,400). But Vendor E produces a 3.2x ROI — the same as Vendor C, who has higher cost per case but identical settlement values. Meanwhile, Vendor D looks expensive at $4,200 per case but produces the highest average settlement, generating a 5.8x ROI. And Vendor A produces the best pure ROI at 6.9x.

Budget decisions look completely different through this lens than they do through cost per case alone.

Using Average Settlement Data to Optimize Budget Allocation

Once you have average settlement data by vendor, a few applications become immediately useful:

Setting Rational Cost Per Case Targets

Not all cost per case targets should be the same. If Vendor D produces an average net fee of $24,500, you can rationally pay more per case from them than from a vendor producing $7,600 average fees.

A reasonable maximum cost per case target is typically 15–25% of expected average net fee. For Vendor D, that's a $3,675–$6,125 cost per case ceiling. For Vendor E, that's a $1,140–$1,900 ceiling. The targets should reflect the value of what you're acquiring.

Identifying “High Cost, High Value” Vendors Worth Scaling

Some vendors will have above-average cost per case but above-average settlement values. These vendors are often underinvested because they look expensive in a CPL or CPC comparison. Settlement data reveals that the higher cost is justified — and sometimes over-justified.

Identifying “Low Cost, Low Value” Vendors That Are Dragging ROI

The most expensive mistake in PI marketing isn't overpaying for good cases. It's underpaying for cases that take up your intake team's time, your case handlers' bandwidth, and your budget — and then settle for significantly below average.

A vendor that sends high volumes of low-complexity, low-value cases at a low CPL often looks like a bargain until you look at settlement data. The case load cost — attorney time, paralegal time, overhead — applied to low-settlement cases produces negative economics that don't show up in cost per case alone.

How to Start Building This Metric Today

You don't need a complete technology overhaul to start tracking average settlement by lead source. Here's a practical path:

1. Audit your current source tagging:How many of your signed cases from the last 12 months carry a valid lead source tag? If it's below 80%, fixing intake tagging is the first priority.
2. Pull settlement data for the last 18–24 months: Work with your finance or accounting team to get a list of all settled cases with net fee amounts. Even if source tags are incomplete, you can manually code the ones that are identifiable.
3. Match settlements to sources: Join the settlement data against your intake records by case ID. This may require some manual reconciliation the first time through.
4. Calculate averages by vendor:For any vendor with 15+ settled cases, calculate average net fee. Flag vendors with fewer settled cases as “data maturing.”
5. Build settlement tracking forward: For all currently open cases, ensure source tags are in place so future settlement data will be attributable without manual work.

The Bottom Line

Average settlement amount per lead source is the metric that separates firms that are optimizing marketing from firms that are just managing it. Cost per lead tells you how expensive your funnel is. Cost per case tells you how efficiently you're acquiring clients. Average settlement per source tells you whether the clients you're acquiring are the ones worth having.

The 6-to-18-month lag makes this data slower to build than any other marketing metric. That's exactly why the firms that start building it now gain an advantage that compounds over time — and why firms that wait have to keep making the same suboptimal vendor decisions. RevenueScale's marketing ROI platform is purpose-built to track this data longitudinally from intake to settlement.