The Best Metrics for Measuring Lead Generation Performance in Personal Injury

Your cheapest lead vendor might actually be your most expensive one. At $200,000 a month across six vendors, you can't afford to find out the hard way — and most PI firms do exactly that, because they're measuring the wrong things.

This post breaks down the metrics that actually matter for measuring lead generation performance at a personal injury firm — ranked by how directly they connect to outcomes that move your bottom line. Some will be familiar. A few will reframe vendors you've been working with for years.

The Problem With How Most Firms Measure Lead Gen

Most PI firms measure lead gen around inputs, not outcomes. Cost per lead, because vendors hand you that number. Monthly volume, because it's easy to count. A rough conversion rate, if intake is disciplined about disposition codes.

None of that answers the real question: which vendors are producing signed cases at an acceptable cost, and which are burning budget? The gap between cost per lead and cost per signed case is almost always dramatic. The cheapest lead source frequently produces the most expensive cases once you factor in conversion rates and case quality.

More data isn't the fix. The right metrics, measured the right way, connected to the right outcomes — that's the fix.

Tier 1: The Metrics That Drive Budget Decisions

These are the metrics that should govern how you allocate spend across vendors. Without reliable data on these, your budget decisions are guesswork.

Cost Per Signed Case by Vendor

This is the number. Not cost per lead — cost per signed case. It accounts for the full funnel: total vendor spend divided by actual signed cases from that vendor's leads. RevenueScale's cost per case trackingcalculates this automatically across every vendor in your portfolio.

A vendor charging $150 per lead who converts at 8% costs roughly $1,875 per signed case. A vendor charging $250 per lead who converts at 18% costs roughly $1,389 per signed case. The second vendor is pricier per lead and dramatically cheaper per case. You will never see this by looking at cost per lead alone.

Target range for most PI firms: $1,200 to $3,500 per signed case, depending on case type, market, and practice mix. Firms that track this metric know their floor. Firms that don't are paying whatever vendors charge and hoping.

Lead-to-Case Conversion Rate by Source

Conversion rate answers the quality question that volume never can. Two vendors each send you 100 leads. One produces 12 signed cases. The other produces 4. The difference isn't intake performance — it's lead quality at the source.

Track this number monthly per vendor. A healthy conversion rate for mass tort leads is different from one for auto accident leads. Establish benchmarks by case type, then flag vendors whose conversion is declining even when raw volume looks fine. Declining conversion is an early warning signal — it typically shows up six to eight weeks before it becomes a visible cost problem.

Case Severity Distribution by Source

Not all signed cases are equal. A vendor sending soft-tissue-only cases at low severity is less valuable than one sending a mix that includes fractures, surgeries, and TBIs — even when both produce the same case volume at the same cost per case.

Track severity distribution by vendor and patterns emerge fast. Some vendors consistently match your firm's strongest case types. Others flood the pipeline with volume that looks solid in intake and disappoints at settlement. Case severity analyticsconnect intake quality to financial outcomes — and it's the metric most firms wish they'd been tracking two years earlier.

Tier 2: Diagnostic Metrics That Explain Tier 1

When your Tier 1 numbers move, these metrics tell you why.

Contact Rate by Source

What percentage of leads from each vendor does your intake team actually reach? A vendor sending 100 leads with a 40% contact rate is effectively sending you 40 workable leads. Factor contact rate into your cost per signed case and many vendors look dramatically different than their raw numbers suggest.

Low contact rate usually signals a lead freshness problem — leads sold multiple times or delivered hours after the prospect filled out a form. It can also mean a mismatch between how the vendor acquired the lead and what the prospect actually wants. Either way, it's a fast signal that something is wrong upstream.

Rejection Rate by Source and Reason

When intake rejects a lead, why? Tracking rejection reasons by source gives you specific, actionable data for vendor conversations. If 35% of leads from one vendor are rejected because the liability situation doesn't support a case, that's a sourcing quality problem. If they're rejected because of existing representation, that's a different problem with a different fix.

Vendors who see rejection rate broken down by reason respond faster to quality concerns than vendors seeing only an aggregate number. It also defuses the most common vendor counter-argument: “your intake team isn't working the leads properly.”

Speed-to-Contact and Speed-to-Sign

How long does it take your intake team to make first contact after a lead arrives? Once contact is made, how long before a retainer is signed? These numbers matter because lead quality degrades over time. A lead that reaches a competitor before your intake team calls is a lead you paid for and lost.

Track these metrics by source, not just firm-wide. Some vendors deliver leads with very short response windows — often because they're selling the same lead to multiple firms simultaneously. Knowing this shapes your intake staffing decisions.

Tier 3: Outcome Metrics That Close the Loop

These take longer to measure because PI cases take 6 to 18 months to settle, but they are the most financially meaningful metrics a PI firm can track.

Average Settlement Value by Vendor Source

A vendor producing cases that settle at $85,000 on average is worth more than one producing $42,000 settlements — even when cost per signed case is identical. Once you have 12 to 24 months of settlement data tied to marketing source, you can calculate true marketing ROI at the vendor level.

Most firms never reach this metric because they don't connect marketing data to settlement data. Building that connection — even imperfectly, even with manual inputs — is one of the highest-value investments a PI marketing department can make.

Case Retention Rate by Source

What percentage of signed cases from each vendor make it to settlement without the client withdrawing or firing the firm? High withdrawal rates from a specific vendor are a quality signal that cost per signed case misses entirely. You want cases that stay signed.

Building Your Measurement Stack

You don't need all of these metrics on day one. The sequence that works for most PI marketing teams:

1. Start with conversion rate and cost per signed case. These two numbers, tracked monthly by vendor, immediately surface your worst-performing spend.
2. Add rejection reasons and contact rate.Now you have the diagnostic tools to understand why conversion looks the way it does.
3. Build toward case severity tracking.Work with your intake team to record severity at sign and disposition. This data compounds.
4. Connect to settlement outcomes.The long game — but every month you delay is another month of data you'll wish you had in two years.

The firms running this measurement stack make budget decisions their competitors simply can't make — because they're working with data their competitors don't have. Cost per lead is a commodity metric any vendor can give you. Cost per signed case by vendor, tracked over 18 months with severity and settlement data attached, is a competitive advantage.

A Note on Vendor-Provided Metrics

Vendors often share their own quality scores, contact rate data, and conversion benchmarks. Use these as context, not as source of truth. Vendor-reported metrics carry a built-in incentive to look good. Your first-party data — what your intake system actually recorded — is the only number that matters for budget decisions.

When your data and a vendor's data tell different stories, lead with yours. That's not adversarial — it's how legitimate performance conversations happen. Good vendors welcome your data. They want to know how their leads actually convert in your intake environment, because it helps them improve sourcing. Vendors who push back on your first-party data are a different kind of problem.