The Best Ways to Track Cost Per Case for a Multi-Location PI Firm

Your Atlanta location just hit $1,600 cost per case. Your Charlotte office is at $2,900. Same vendor. Same contract. Different markets — and no one on your team can explain the gap because the data isn't there to explain it.

That's the defining challenge of multi-location PI firm marketing. Tracking cost per case at a single office is already hard. Across three, five, or eight locations, the structural problems multiply: shared vendor spend that can't be split cleanly, inconsistent intake data that won't aggregate, and managing partners who want one number that makes sense across every market.

This article covers the specific challenges multi-location PI firms face and the approaches that work best at different stages of scale.

Why Multi-Location Cost Per Case Tracking Fails

Most multi-location firms run into the same three structural problems. Fix these and everything downstream gets easier.

Shared spend, split outcomes.You pay a vendor a flat monthly retainer for statewide coverage. That vendor delivers leads across three locations at different volumes and conversion rates — and your accounting system books the entire cost in one line item. Splitting that spend by location requires either a data connection you don't have or manual allocation work no one has time to do consistently.

Location-level intake data that won't roll up.Each location uses the same case management system but enters data differently. Disposition codes are inconsistent. Lead source attribution wasn't built for multi-location reporting. The data exists — it just doesn't aggregate cleanly.

No shared definition of the metric.Location A counts a case as signed when the retainer is executed. Location B counts it when the client clears intake screening. That difference alone can create a 10–15% gap in apparent conversion rates between offices with identical underlying performance.

Method 1: Centralized Attribution With Location Tags

For most multi-location firms, centralized attribution with location tagging is the right starting point.

The logic is simple: every lead gets tagged with the location it was delivered to. Every vendor spend is coded by the market it was intended to serve. Every signed case carries both a vendor source tag and a location tag. With those three data points in place, you can slice cost per case any way you need — by vendor across all locations, by location across all vendors, or by vendor within a specific market.

The heavy lifting is in the setup, not the ongoing maintenance. If your CRM or case management system supports custom fields — and most do — location tagging is a configuration change, not a new workflow. The real discipline is enforcing consistency: intake teams at every location tagging correctly, vendor spend coded right in your financial system, every month.

Best for:Firms with 2–6 locations using a shared case management system and a centralized marketing function.

Method 2: Geo-Segmented Vendor Contracts

If vendors are covering multiple markets under a single contract, push for market-level reporting in your contract terms. A vendor who won't provide lead delivery and spend data by market is making your cost-per-case tracking impossible — by design. This is worth negotiating on.

The best PI lead vendors can and will provide market-level breakdowns. Ask for monthly reporting showing lead volume, delivery rate, and billing by market. Build that into the contract, not just the relationship.

For vendors who won't go that far, use lead volume as your allocation key. If a vendor delivers 60% of their leads to Location A and 40% to Location B, allocate their monthly spend accordingly. It's an estimate — but it's far more accurate than booking everything to one location or leaving the cost unattributed.

Best for:Firms negotiating new vendor contracts or heading into renewal conversations with existing vendors.

Method 3: Location-Specific Vendor Portfolios

Some multi-location firms eliminate the allocation problem entirely by structuring their vendor portfolios location by location — each office has its own vendor set and its own budget with no shared spend to split.

This produces the cleanest cost-per-case tracking. Every dollar spent with Vendor X at Location A is fully attributed to Location A's performance. Reporting is straightforward. Location comparisons are apples-to-apples. There's no estimation involved.

The tradeoff: location-specific portfolios are harder to manage and may cost more — consolidated vendor relationships often come with better pricing. You also lose access to vendors whose coverage is statewide but who won't price by market.

Best for:Firms with locations in different states or markets with limited vendor overlap, or where location-level P&L accountability drives firm culture.

Standardizing Definitions Across Locations

No tracking method works if the underlying definitions are inconsistent. Before building any multi-location cost-per-case system, lock down these four definitions firm-wide:

• What counts as a lead?Only inquiries that clear your minimum intake criteria, or every inbound contact? Define it once and enforce it across all intake teams.
• What counts as a signed case?Executed retainer is the cleanest definition. Avoid any milestone that intake teams might interpret differently across locations.
• How is lead source recorded?Free-text fields produce chaos at scale. A defined, controlled list of vendor and channel codes — enforced at the CRM level — is the foundation of reliable attribution.
• How is case severity recorded?Define the scale and the criteria for each level, then train all intake teams to the same standard. Inconsistent severity coding skews quality comparisons across locations.

Standardizing these definitions is an operations project as much as a technology project. It requires intake managers at every location to align on a single firm-wide standard. That work is worth doing even if you never build a formal revenue intelligence system — the data quality improvement alone pays dividends in every management conversation downstream.

Reporting Cost Per Case Across Locations

Once your attribution infrastructure is in place, the monthly cost-per-case report for a multi-location firm should include four views:

• Firm-wide cost per case— the top-line number for partner reporting
• Cost per case by location— to identify location-level performance variation
• Cost per case by vendor, firm-wide— for vendor portfolio decisions
• Cost per case by vendor within each location— for location-specific vendor management

The location-level comparison is where the most actionable intelligence lives. A vendor delivering $1,600 cost per case in one market and $2,900 in another has a geographic quality problem worth investigating. A location running 40% above the firm average has either a vendor mix problem or an intake conversion problem — the data tells you which.

What to Do With Location-Level Cost Per Case Data

Multi-location cost per case data is most valuable when it drives action. Three decisions it should inform directly:

1. Vendor allocation by market.A vendor performing at $1,600 in your highest-volume market deserves more budget there — even if they're at $2,900 elsewhere. This sounds obvious, but it almost never happens without location-level data to make the reallocation defensible to partners.
2. Intake benchmarking across locations.Control for vendor and lead quality, and cost-per-case variation between locations reflects intake conversion differences. Use this to find which location has the best intake practices — then spread them across the firm.
3. New location modeling.If you're evaluating a new market, your existing cost-per-case data by geography is the closest thing to a real financial model for what ramp will cost. Firms with this data make better expansion decisions than firms guessing from aggregate averages.

Multi-location firms that invest in clean cost-per-case tracking consistently report the same shift: they stop managing vendor portfolios by instinct and start managing by attribution. That change shows up in marketing efficiency — typically within the first year of consistent measurement.