How to Build a Revenue Intelligence Baseline Before You Can Measure Improvement

Before you can measure improvement, you need to know where you started. That sounds obvious. But the majority of PI firms that implement revenue intelligence skip the baseline-building step — and then spend months trying to answer the question “is this working?” without a meaningful point of comparison.

A revenue intelligence baseline isn't just a historical data dump. It's a structured snapshot of your marketing performance at a specific point in time, defined precisely enough that future measurements can be compared against it. Building it right is the difference between knowing your ROI improved 18% and feeling like performance might be getting better.

What a Revenue Intelligence Baseline Actually Includes

A complete baseline covers four dimensions. Each one maps to one of the four intelligence layers in a revenue intelligence system.

1. Performance Baseline: Are You on Track?

Your performance baseline captures your marketing throughput numbers — the inputs and outputs of your marketing operation at a specific moment.

For each of the past 3 to 6 months, document:

• Total leads received per month (overall and by source)
• Total signed cases per month (overall and by source)
• Intake conversion rate — what percentage of leads became signed cases?
• Lead pace: how many leads did you receive per business day?
• Were you hitting your signed case goals? By how much did you miss or exceed?

This layer answers: what does normal look like? If your firm typically signs 40 to 50 cases per month, a month with 35 cases signals a problem. A month with 55 cases signals an opportunity. Without the baseline, you can't tell normal from exceptional.

2. Intake Baseline: Where Is the Pipeline Leaking?

The intake baseline captures what happens between lead arrival and case signing — and critically, which lead sources have healthy conversion vs. which are bleeding out in the intake funnel.

For each active lead source, document your current:

• Rejection rate — what percentage of leads were rejected (not qualified cases)?
• Contact rate — what percentage of leads did your intake team actually reach?
• Withdrawal rate — what percentage of leads signed but then withdrew within 30 days?
• Time-to-contact — how long, on average, before intake called a new lead?

Olivia, an intake manager, typically knows her overall rejection rate. She rarely knows it by source. That distinction matters enormously — a vendor with a 35% rejection rate needs a different conversation than one with a 12% rejection rate, even if their cost per lead is identical.

3. Source Baseline: What Does Each Vendor Actually Cost You?

The source baseline is the most impactful number in the entire baseline: cost per case by vendor. It's also the number that most PI firms don't have when they start.

For each active vendor and lead channel, calculate:

• Monthly spend (actual, not budgeted)
• Leads received from this source per month
• Cases signed from this source per month
• Cost per lead: monthly spend ÷ leads received
• Cost per case: monthly spend ÷ signed cases
• Vendor conversion rate: signed cases ÷ leads received

Many PI firms that build this baseline for the first time discover that their cheapest source by cost per lead is not their cheapest source by cost per case. That gap — sometimes substantial — is the business case for revenue intelligence in three numbers.

4. Financial Baseline: What Is Your Current Marketing ROI?

The financial baseline is the hardest to build because it requires connecting marketing spend to settlement revenue — and for PI firms, that connection spans 6 to 18 months. But even an incomplete financial baseline is useful.

Document what you can:

• Total marketing spend per month for the past 12 months
• Settlement revenue received in the past 12 months (from accounting)
• Any settlement data that can be attributed back to lead source (even rough attribution)
• Your estimated average case value — what is a signed case typically worth in settlement revenue?

You may not be able to draw a direct line from February's marketing spend to October's settlement revenue on day one. But having the numbers documented means that line becomes clearer every month you operate with connected data.

How Far Back Should Your Baseline Go?

For a meaningful baseline, you need at least three months of historical data. Six months is better. Twelve months is ideal because it captures seasonal patterns — some PI firms see dramatically different lead quality in Q1 vs. Q3 due to accident seasonality and plaintiff lawsuit filing behavior.

If you only have one month of clean data, use it and document its limitations. An imperfect baseline is infinitely more useful than no baseline. You can always enrich it retroactively as you recover historical data from invoices, accounting systems, and case management exports.

The Baseline-Building Workflow

Here's the practical workflow for building your baseline in two to three days:

Day 1: Gather spend data

• Pull 12 months of vendor invoices (or accounting exports filtered by marketing vendor payments)
• Standardize vendor names — one canonical name per source
• Enter monthly spend by vendor into a baseline spreadsheet

Day 2: Gather case data

• Export lead and case data from your case management system for the same 12-month period
• Map lead sources to your canonical vendor names (this step usually surfaces your naming inconsistency problem)
• Calculate leads received and cases signed per vendor per month

Day 3: Calculate and document

• Calculate cost per lead and cost per case for each vendor and each month
• Calculate your intake conversion rate, rejection rate, and withdrawal rate by source (where data is available)
• Document data gaps and known limitations clearly — these are the inputs that need cleaning going forward
• Define your baseline date: “As of [date], our marketing performance baseline was X.”

What the Baseline Tells You Immediately

Most firms discover at least two significant insights during baseline-building. Common findings:

• Cost per case is higher than assumed — firms that have been estimating their cost per case often find the real number is 20 to 40% higher than their mental estimate. That gap is the optimization opportunity.
• Vendor performance is more uneven than expected — when you calculate cost per case by source for the first time, the spread between best-performing and worst-performing vendors is almost always larger than leadership assumed. A $3,500 cost per case from Vendor A vs. a $9,000 cost per case from Vendor B are easy to miss when you're only looking at blended totals.
• Conversion rate by source varies dramatically — two vendors with the same cost per lead might have 18% and 35% conversion rates. That 2x difference in conversion rate is what's driving the cost-per-case spread.

Baseline Is Not a One-Time Exercise

Your revenue intelligence baseline needs to be updated quarterly. What's normal for your firm changes as you add vendors, change your signed case goals, or shift your budget mix. The baseline you set today is your starting point, not a permanent benchmark.

The firms that benefit most from revenue intelligence are those that treat baseline-setting as an ongoing discipline — not a one-time setup task that gets done once and forgotten.

Ready to Build Your Baseline?

RevenueScale helps PI firms build a meaningful revenue intelligence baseline in the first two to three weeks of implementation — importing historical spend data, connecting case management exports, and surfacing the cost-per-case picture that's often been invisible.

Book a demo and we'll show you what your specific baseline-building process looks like and what insights typically surface in the first 30 days for firms at your spend level and vendor mix.