Revenue Intelligence ROI Calculator: What a PI Firm Can Recover in Year One

Every PI firm asks the same question before buying a Revenue Intelligence platform: what is this actually going to return? The short answer is a 15–20% marketing ROI lift inside 90 days, a number that sounds promotional until you do the math. This post is the math. Three worked examples, one formula, and a walk-through of where the recovered spend actually comes from.

This is not a pitch. It's a calculator. Run the numbers against your firm's actual spend and see whether the payback math works for you. If it doesn't, Revenue Intelligence probably isn't the right tool for your stage yet. If it does, the case usually makes itself.

The Formula

Year-one recoverable spend from Revenue Intelligence is a function of three inputs:

• Monthly marketing spend— what the firm currently commits to paid lead generation across all channels and vendors.
• Cost-per-case variance across vendors— the gap between the best-performing vendor and the worst. At most PI firms, this is 2–3x.
• Percentage of spend allocated to underperformers — typically 15–25% of the total budget is sitting on vendors producing cases at 2x+ the cost of the top performers.

The recoverable figure is (monthly spend) × (underperformer allocation %) × (cost reduction from reallocation). For most firms, that works out to 10–20% of total marketing spend in year one.

Worked Example 1: Small Firm

Five-attorney PI firm. $45,000/month in marketing spend across four lead vendors and Google Ads. The Marketing Director suspects one of the vendors is underperforming but has no way to prove it with the current spreadsheet.

Revenue Intelligence surfaces the data: one vendor is producing cases at $4,200 — nearly double the firm's best source ($2,100). That vendor is consuming $12,000/month (27% of the budget). Cutting the vendor and redirecting 70% of the savings to the best-performing source recovers roughly $5,000/month, or $60,000 in year one. On a $45K/month budget, that's an 11% ROI lift.

Worked Example 2: Mid-Sized Firm

Twenty-five-attorney PI firm. $240,000/month in marketing spend across eight vendors, Google Ads, LSAs, and a pay-per-call network. The Marketing Director has a vendor scorecard but it's based on cost per lead, not cost per case, and it's rebuilt manually every month.

Revenue Intelligence flags three underperforming vendors inside 60 days. One is producing cases at $3,800 vs. the firm's $1,500 best source. One has a declining conversion rate that hasn't been caught. One is fine on volume but the cases settle 30% below target. Those three vendors represent $72,000/month in spend (30% of budget). Cutting or renegotiating two of them and reallocating recovers roughly $15,000/month, or $180,000 in year one. On a $240K/month budget, that's a 6.25% immediate lift that climbs to 15%+ as additional optimizations compound.

This is the example the pillar case study is drawn from.

Worked Example 3: Large Firm

Fifty-attorney multi-location PI firm. $480,000/month in marketing spend across twelve vendors, multiple paid channels, and two regional LSA setups. The current process is a marketing dashboard plus a monthly spreadsheet rollup. The Managing Partner has never seen a true ROI number.

Revenue Intelligence surfaces four underperformers totaling $135,000/month in spend (28% of budget). Reallocation math: cutting two, renegotiating one, and scaling the two top performers produces a blended cost-per-case reduction of $620 across the whole portfolio. At 180 signed cases a month, that's $111,600/month in effective savings, or $1.34M in year one. On a $480K/month budget, that's a 23% ROI lift — and a partner conversation that never happened before.

Where the Savings Actually Come From

Three sources, in order of contribution:

1. Underperformer identification (60% of the savings). Every PI firm running 5+ vendors has at least one that produces cases at 2x+ the cost of the best source. Without Revenue Intelligence, nobody notices because the vendor's self-reported cost-per-lead looks fine. Source Intelligence catches it inside 60 days.

2. Budget reallocation (25% of the savings). Cutting a bad vendor recovers spend; redirecting it to the best performer compounds the gain. The firms that just cut without reallocating leave half the ROI on the table.

3. Time savings (15% of the savings).The Marketing Director recovers 10–15 hours a week from manual reporting. That time usually goes into deeper vendor management and higher-quality intake analysis, which produces additional second-order improvements in the back half of year one.

Run Your Own Calculation

Here's the five-minute version you can do on paper right now.

Step 1:Write down your total monthly marketing spend. Include everything: vendors, ad platforms, LSAs, pay-per-call, referral fees that operate on a fee structure. Don't include salary overhead; just external marketing spend.

Step 2:Estimate what percentage of that spend is going to vendors or channels you suspect are underperforming. If you don't know, use 20% as a conservative default.

Step 3:Multiply monthly spend × underperformer % × 0.7 (the typical recovery rate from cutting and reallocating, not the full 100% because some savings get reinvested in better sources).

Step 4: Multiply by 12 for year-one recovery.

At $150K/month in marketing spend with a 20% underperformer estimate, the math is: $150K × 0.20 × 0.70 × 12 = $252,000 in year-one recoverable spend. On an RI platform subscription of $40K–$60K/year, the payback is measured in weeks.

When the Math Doesn't Work

Be honest about this: Revenue Intelligence isn't for every firm. If you're spending under $30K/month with 1–2 vendors, a disciplined spreadsheet will usually do the job. The platform math works best at $75K+/month with 5+ vendors. Below that, the complexity isn't high enough to justify the subscription yet. Revisit when you cross the threshold.

The math also doesn't work if nobody in the firm has the authority to cut a vendor once the data surfaces the underperformer. Revenue Intelligence surfaces decisions. It doesn't make them. If the decision loop is broken, the ROI case breaks with it.