The Intake Metrics That Marketing Leaders at PI Firms Are Ignoring

Most PI marketing directors can tell you their cost per lead from every vendor. Many can tell you their conversion rate. A few can tell you their cost per signed case.

Almost none can tell you their withdrawal rate by source. Or their rejection reason distribution. Or their case severity mix by vendor. Or their speed-to-lead by intake specialist correlated with conversion outcome.

These are the intake metrics that marketing leaders at PI firms are ignoring — not because they are unimportant, but because the data is sitting in intake systems that marketing rarely accesses, and nobody has connected the dots between intake performance and marketing ROI. This post names the metrics, explains what they measure, and describes what you are missing without them.

Metric 1 — Withdrawal Rate by Lead Source

Withdrawal rate measures the percentage of signed cases that eventually terminate before settlement. Most firms track this in aggregate, if they track it at all. Almost none track it by lead source.

Why it matters: a vendor with a 25% withdrawal rate on signed cases is effectively overcharging you by 25% — because one in four cases you paid to acquire and intake to sign will never produce a fee. When this is tracked by source, it becomes a direct adjustment factor on your cost-per-case calculation.

What it reveals: which vendors are generating clients who have unrealistic expectations, whose cases unravel under early scrutiny, or who were generated through advertising that set the wrong expectations at the point of contact.

What to do with it: compare each vendor's withdrawal rate against your portfolio average. Vendors running 2x the average over a 6-month cohort warrant a direct conversation. Vendors running 3x the average warrant budget reduction or exit.

Metric 2 — Rejection Rate by Source With Reason Distribution

Rejection rate — the percentage of leads your intake team declines — is tracked at some firms. What almost never gets tracked is the distribution of rejection reasons, broken down by lead source.

Why it matters: knowing that Vendor B has a 38% rejection rate is useful. Knowing that 71% of those rejections are for “statute of limitations expired” is actionable. The first number tells you there is a problem. The second tells you exactly what to say to the vendor.

What it reveals: the specific sourcing or targeting failures driving low lead quality from each vendor. A vendor primarily rejected for case type mismatch has a different problem than one rejected primarily for statute issues. The remediation differs, and so does the urgency.

What to do with it: build a 5–8 code rejection taxonomy and require intake specialists to select from it on every declined lead. Review the reason distribution by vendor monthly. Share it with vendors who are above your rejection rate threshold — it creates accountability that general quality complaints cannot.

Metric 3 — Case Severity Mix by Lead Source

Case severity is a measure of the projected value or complexity of a signed case. At minimum, most PI firms can categorize cases into rough tiers: minor soft tissue, moderate with some medical treatment, significant with surgery or hospitalization, severe or catastrophic. The exact tiers depend on your practice.

Why it matters: two vendors can have identical conversion rates and rejection rates while producing fundamentally different case portfolios. One sends primarily soft tissue cases projecting $15K–$25K in fees. The other sends a mix that includes surgical cases projecting $60K–$150K. If you are evaluating both vendors only on cost per signed case, you are missing the most important variable in their relative performance.

What it reveals: whether your marketing spend is optimized for case value, not just case volume. This is the metric that tells a managing partner why you are spending more per lead on one source — because the case mix justifies it.

What to do with it: capture case severity tier at the point of signing as part of your intake workflow. Over time, build a case value estimate range by severity tier based on your firm's historical settlement data. Use that to calculate estimated case revenue by source, not just case count.

Metric 4 — Speed-to-Lead by Source Correlated With Conversion

Speed-to-lead — the time between lead submission and first contact attempt — is tracked at some firms. What almost never happens is segmenting it by lead source and correlating it with conversion outcomes.

Why it matters: lead velocity sensitivity varies by source. Aggregator leads that have been sold to multiple firms simultaneously require contact within minutes for a competitive advantage. Organic search leads from someone researching an accident they had last week may be less time-sensitive. If your intake team is responding to aggregator leads in 4 hours and organic leads in 45 minutes, you may have the priority order backwards.

What it reveals: whether low conversion rates from high-urgency sources are a lead quality problem or a response time problem. A vendor whose leads have a 5-minute contact window and your intake team is averaging 90 minutes on that source has an intake execution problem, not a vendor problem.

What to do with it: generate a speed-to-lead report by source monthly and overlay it with conversion rate for the same period. Significant divergences between sources — particularly where a slow-response source also has a low conversion rate — should trigger an intake process review before any vendor performance conversation.

Metric 5 — Non-Contact Rate by Source

Non-contact rate measures the percentage of leads where intake made multiple attempts to reach the prospective client but was never successful. It is different from rejection rate — these leads are not declined, they simply never respond.

Why it matters: high non-contact rates from specific sources can indicate that the lead was generated through incentivized or misleading acquisition — the person submitted a form for a gift card, or was told they would receive a settlement evaluation without understanding what that entails. When a high proportion of a vendor's leads are unreachable, it is a signal about the vendor's generation methods, not about your intake team's outreach.

What it reveals: the percentage of your lead spend that is being completely wasted on leads that will never engage. Unlike rejections (which at least produce a qualification decision), non-contacts produce nothing — not even useful data about the prospective client's case.

What to do with it: set a non-contact rate threshold (15–20% is a reasonable starting benchmark, though this varies by source type) and flag vendors who consistently exceed it. Negotiate credit-back provisions with aggregators for leads with non-contact rates above a defined threshold — many vendors will accept this if you can document the rate over a 60–90 day period.

Metric 6 — Intake-to-Attorney Review Escalation Rate

In many PI firms, intake specialists have authority to sign cases within defined criteria and escalate borderline cases to an attorney for review. The escalation rate — the percentage of cases that require attorney involvement before a signing decision — is a metric almost no marketing director tracks by source.

Why it matters: cases that require attorney review before signing cost significantly more to acquire in terms of internal resources. If 40% of leads from Vendor F require attorney escalation versus 8% from Vendor G, Vendor F is consuming more of your highest-cost staff resource per case — which should factor into your cost per case calculation.

What it reveals: which sources are sending leads that require more complex intake handling — whether because the liability is ambiguous, the injury presentation is unusual, or the case type is outside your specialists' normal criteria. These cases are not necessarily bad cases. But they are more expensive to evaluate.

Building the Dashboard That Tracks These Metrics

None of these metrics require exotic technology. They require two things: structured data capture in your intake platform, and a reporting layer that joins intake data to marketing spend data by lead source.

The structured data capture means standardized outcome codes, rejection reason codes, case severity tiers, and source attribution at the lead level — all configured in your CRM or intake platform. The reporting layer means those fields are included in regular reports that your marketing director actually sees.

Most firms have the first half of this in place — the data is being captured, at least partially. The gap is almost always in the reporting: the intake data never reaches the marketing director in a format that connects to the spend data and produces the per-source metrics that drive vendor decisions.

Closing that gap is not a minor optimization. It is the difference between a marketing program that spends based on cost per lead and one that spends based on cost per retained, quality case. Those two programs look very different — and produce very different results.