How One 25-Attorney PI Firm Cut $180K in Annual Vendor Waste With Revenue Intelligence

Four years as marketing director. Twenty-five attorneys. Seven lead vendors. A $300,000 monthly marketing budget. And Marcus still could not answer the one question the managing partner kept asking.

What does each vendor actually cost us per signed case?

Not per lead. Per case. The question sounds simple. But for most PI firms managing multiple vendors, it's nearly impossible without the right system. Every month Marcus spent roughly 15 hours pulling vendor reports, reconciling lead counts against intake records, and building a spreadsheet that showed the same three things: cost per lead, lead volume, and a conversion estimate that was only as accurate as intake's manual tagging — about 65%, by his own calculation.

He could say how many leads came in. He could say what each lead cost. He could not say what each vendor's leads cost the firm per signed case — and the managing partner had started asking exactly that.

The Before State: Seven Vendors, $300K per Month, and a Spreadsheet

The vendor mix was typical for a growing PI firm: two digital agencies running Google Ads and Local Services Ads, three direct lead aggregators covering auto accidents, slip-and-fall, and general personal injury, a TV and media buy, and a referral network partnership. Seven vendors, $300,000 per month.

His monthly report showed the following cost-per-lead numbers:

• Vendor A (Google Ads agency): $145 CPL, $48,000/month
• Vendor B (direct aggregator, auto): $62 CPL, $45,000/month
• Vendor C (direct aggregator, general PI): $38 CPL, $42,000/month
• Vendor D (LSA agency): $97 CPL, $35,000/month
• Vendor E (direct aggregator, slip-and-fall): $44 CPL, $40,000/month
• Vendor F (TV and media): $210 CPL (estimated), $52,000/month
• Vendor G (referral network): $285 CPL, $38,000/month

Based on these numbers, Vendors B, C, and E looked like the portfolio stars. Low CPL, high volume. Marcus had increased Vendor C's budget twice in the prior year on that logic.

Vendor G, at $285 per lead, looked like a cut waiting to happen. Marcus had raised it in two consecutive quarterly reviews.

He was drawing almost exactly the wrong conclusions.

Implementation: Two Weeks to Real Numbers

The revenue intelligence setup took under two weeks. The LeadDocket integration was the foundation — connecting directly to the firm's intake CRM and pulling lead source data, disposition records, and signed case dates automatically. No manual matching. No 65% attribution accuracy. Native integrations with LeadDocket and other major PI CRMs mean clean source-tagged data from day one.

Within 14 days, Marcus had clean attribution on every lead going back 18 months. For the first time, he could calculate cost per signed case by vendor — not an estimate, not a partial-data approximation, but an exact number built from verified spend and verified signed case counts.

The numbers were not what he expected.

Month 1 Discovery: The Low-CPL Vendors Were the Most Expensive

The first cost-per-case report changed everything. Here is what the data showed:

• Vendor B (direct aggregator, auto): $62 CPL, $4,200 cost per signed case. Lead-to-sign conversion rate: 1.5%.
• Vendor C (direct aggregator, general PI): $38 CPL, $4,750 cost per signed case. Lead-to-sign conversion rate: 0.8%.
• Vendor E (direct aggregator, slip-and-fall): $44 CPL, $3,950 cost per signed case. Lead-to-sign conversion rate: 1.1%.
• Vendor D (LSA agency): $97 CPL, $1,940 cost per signed case. Lead-to-sign conversion rate: 5.0%.
• Vendor A (Google Ads agency): $145 CPL, $1,810 cost per signed case. Lead-to-sign conversion rate: 8.0%.
• Vendor F (TV and media): $210 CPL (estimated), $2,200 cost per signed case. Conversion: 9.5% (higher intent driven by brand awareness).
• Vendor G (referral network): $285 CPL, $1,425 cost per signed case. Lead-to-sign conversion rate: 20%.

The vendors Marcus had been scaling — B, C, and E — were the most expensive in the portfolio on the only metric that matters. Vendor C, cheapest CPL in the portfolio at $38, was producing signed cases at $4,750 — 3.3x more expensive than Vendor G, which Marcus had nearly cut entirely.

The referral network looked expensive on CPL because it was. But those leads converted at 20% — one in five. The firm was spending $285 to acquire a lead that became a client one out of five times. Vendor C leads at $38 were converting at less than one in a hundred.

Months 2 and 3: The Case Quality Layer

Cost-per-case data alone was enough to justify a reallocation. But three months in, a second layer became available: settlement outcomes on cases that had closed in the prior 12 months. This is the data most PI firms never see — and it made the picture even clearer.

Settlement value by vendor source reinforced everything the cost-per-case data had already shown:

• Vendors B, C, and E (the low-CPL aggregators) were producing cases with average settlement values of $28,000–$34,000. After attorney fees and case costs, net to the firm was roughly $9,000–$11,000 per case.
• Vendors A and D (the digital agencies) averaged $78,000–$92,000 in settlement value. Net to firm: approximately $26,000–$31,000 per case.
• Vendor G (the referral network Marcus had nearly eliminated) averaged $134,000 in settlement value. Net to firm: approximately $44,000 per case.

A signed case from Vendor C cost $4,750 to acquire and netted the firm roughly $10,000. A signed case from Vendor G cost $1,425 to acquire and netted the firm roughly $44,000. That's not a marginal difference — those are two different businesses running on the same budget.

Marcus had been optimizing for cost per lead. Cost per lead had been pointing him in exactly the wrong direction.

The Decision: $30K per Month in Cuts, Reallocated to the Right Vendors

Armed with cost-per-case and settlement attribution data, Marcus brought a reallocation proposal to the managing partner. For the first time in four years, the conversation wasn't about leads or click-through rates or vendor relationships. It was a financial presentation: here is what each vendor costs us per signed case, here is what each vendor's cases net us in settled revenue, here is the reallocation that maximizes return on the $300,000 we are already spending.

The proposal was specific:

• Cut Vendor B by $15,000/month— reduce from $45,000 to $30,000, keeping only the highest-performing campaigns within the vendor's portfolio where cost per case was closer to $2,800.
• Cut Vendor C by $15,000/month — reduce from $42,000 to $27,000. Despite having the lowest CPL in the portfolio, cost per case was the highest. Keep only the campaigns with acceptable conversion rates.
• Increase Vendor G by $15,000/month — scale the referral network that was producing the lowest cost per case and the highest case quality. From $38,000 to $53,000.
• Increase Vendor A by $15,000/month — scale the Google Ads campaigns where cost per case was $1,810. From $48,000 to $63,000.

Total monthly spend: unchanged at $300,000. The managing partner approved the reallocation the same day. He later told Marcus it was the clearest marketing presentation he'd ever received — because it was the first one that spoke his language. Cost per case and net revenue per case. Not leads. Not click-through rates.

The Results: $180K in Annualized Savings and a Different Reporting Life

The $30,000 per month in budget shifts from high cost-per-case vendors to low cost-per-case vendors translated directly into measurable outcomes within one quarter:

• $30,000/month in recovered vendor efficiency — the reallocation produced approximately the same number of signed cases from the same total spend, but with a meaningfully lower average cost per case across the portfolio. Annualized: $180,000 in spend no longer going to vendors producing $4,000+ cost-per-case outcomes.
• Signed case count held steady — the fear that cutting high-volume aggregator spend would reduce signed cases did not materialize. Lower-volume, higher-converting sources replaced the lost volume almost exactly.
• Average case quality increased — with more budget flowing to Vendor A (Google Ads) and Vendor G (referral network), the average settlement value in the pipeline increased. Cases take 12–18 months to settle, so the full financial effect will compound over the next two years.
• Reporting went from 15 hours per week to 15 minutes. No more manual export-and-reconcile cycles. No more 65% attribution accuracy. The platform connected spend to cases automatically, and Marcus's weekly check-in became a 15-minute scan of the performance dashboard.
• The managing partner now receives a monthly cost-per-case report — one page, vendor by vendor, with trend data. He no longer asks for it. It arrives before he has to ask.

What Would Have Happened Without Revenue Intelligence

Worth pausing here. Without cost-per-case attribution, Marcus was on track to keep scaling Vendor C — the $38 CPL source that was costing the firm $4,750 per signed case. And he was on track to eliminate Vendor G — the referral network producing cases at $1,425 and netting the firm $44,000 each. Both decisions were fully supported by the data he had. Both were wrong.

Marcus wasn't making poor decisions. He was making decisions with the wrong metric. Cost per lead is not correlated with the outcome that matters. A lead that never signs is not cheap at $38. A lead that signs one in five times is not expensive at $285.

Cost per lead measures vendor pricing. Cost per case measures vendor value. Those are different things — and for this firm, the gap between them was $180,000 per year.

The Broader Pattern

This story is not unusual. Across PI firms we work with, the vendor that ranks best on cost per lead is the worst performer on cost per case roughly 40% of the time. The inverse is just as common: the vendor with the highest CPL is frequently the most cost-effective source of signed cases, because higher lead prices often reflect higher intent.

Shared lead aggregators achieve low CPL by distributing the same leads across multiple buyers. That lowers quality and conversion rates. Direct digital campaigns and referral networks produce fewer leads at higher apparent cost — but convert at dramatically higher rates. The only way to know which pattern applies to your vendors is to track cost per case directly.

At this firm, the spread was $1,425 to $4,750 across the same seven- vendor portfolio. That range is common. What's uncommon is seeing it clearly enough to act on it.

What This Means for Your Firm

If you are managing $100,000 or more per month across three or more lead vendors, there is almost certainly a reallocation opportunity sitting in your current data. The question is whether you can see it.

The math is straightforward. If one vendor in your portfolio is running $1,500–$2,000 per case above your portfolio average — and you are spending $15,000 per month with them — the annual cost of that misallocation is $30,000–$60,000. Multiply that across two or three vendors in a similar position, and the number typically lands between $100,000 and $300,000 per year in spend producing below-average returns on your largest budget line.

Marcus did not need a bigger budget. He did not need more vendors. He needed to measure what was already happening and reallocate based on what the data showed. Moving $30,000 per month from vendors with $4,000+ cost-per-case outcomes to vendors with $1,400–$1,900 outcomes was worth $180,000 annually — without changing his total marketing investment by a dollar.

The data was always there. He just needed a system that could connect it.