What Happens to the Data We've Already Collected When We Switch to a New Platform?

This question stops more PI firms from adopting revenue intelligence than almost any other objection. “We've been tracking our marketing data for three years in spreadsheets. What happens to all of that when we switch?” It's a legitimate concern. You've invested thousands of hours building those spreadsheets. Walking away from them feels like throwing away work.

But here's the question worth sitting with: Is the data you've collected actually useful? Or is the fear of losing it keeping you tied to a system that isn't telling you what you need to know?

Let's break down what actually happens to your existing data during a platform migration — what can be imported, what starts fresh, and why starting fresh on some metrics is not the setback it feels like.

The Three Categories of Historical Data

Not all data is equally valuable during a migration. Understanding which category your data falls into changes how you think about the transition.

Category 1: Data That Can and Should Be Imported

This is the data that has lasting strategic value — the kind that helps you make better decisions from day one on a new platform.

• Historical vendor spend.How much you paid each vendor by month for the past 12 to 24 months. This is usually in invoices, spreadsheets, or accounting records. Most revenue intelligence platforms can import this via CSV or direct entry. It's straightforward structured data.
• Signed case counts by source.If you've been tracking which vendors produced signed cases — even imperfectly — that history has value. It establishes baselines: Vendor A averaged 18 signed cases per month last year at $2,600 per case. Now you can measure whether performance improves or declines.
• Settlement data.If you have records of which cases settled, for how much, and which vendor generated the original lead, this is gold. It's the data most firms don't have — and if you do have it, importing it gives you a head start that most firms lack.

The key question for each data set: Is it clean enough to import? If your spreadsheet tracks vendor spend consistently by month and by vendor, it can be imported in an afternoon. If it's a patchwork of different formats across 14 tabs with notes in merged cells, the cleanup effort may exceed the import value.

Category 2: Data That Starts Fresh — and That's Fine

Some data types are better rebuilt on a reliable foundation than carried over from an unreliable one.

• Lead-level attribution.If your historical lead data has inconsistent source tagging — and for 80%+ of PI firms using spreadsheets, it does — importing it creates a false sense of accuracy. You'd be building reports on data that was wrong when it was first entered. A new platform with native integrations to your case management system and lead vendors will capture attribution correctly from day one. That's more valuable than two years of imperfect data.
• Intake metrics. Rejection rates, time-to-contact, conversion rates by intake team member — these metrics are best measured consistently from a defined start date. Importing inconsistent historical intake data usually creates more confusion than clarity.
• Alert thresholds and benchmarks. These should be calibrated to your current performance, not historical averages that may include periods of different vendor mixes, staffing levels, or market conditions.

Category 3: Data You Think You Need but Probably Don't

This is the category that keeps firms stuck. Three years of weekly reports. Monthly PowerPoint decks. Spreadsheets with 47 tabs tracking metrics that no one has looked at in six months.

Ask yourself: When was the last time anyone opened the January 2024 marketing report and used it to make a decision? If the answer is never, that data's value is sentimental, not strategic. Archive it. Keep it accessible. But don't let it slow down your migration.

The Sunk Cost Trap

Here's the hard truth. The most dangerous reason to stay with your current system is “We've already invested so much time building it.”

A marketing director who has spent three years building a spreadsheet tracking system has real emotional investment in that work. It represents thousands of hours of effort. The thought of abandoning it feels like admitting those hours were wasted.

But those hours are spent regardless. They're a sunk cost. The only question that matters is: going forward, what system will give you better data at lower ongoing cost?

If your spreadsheets cost you 15 hours per week to maintain — $780 per week at a loaded labor cost of $52 per hour — that's $40,500 per year in time alone. And you still can't track cost per case through settlement. You still can't get real-time alerts when vendor performance drops. You still can't generate a partner-ready report in under an hour.

A revenue intelligence platform that costs $3,000 per month ($36,000 per year) saves $40,500 in labor time while delivering data your spreadsheets can't produce. The ROI math works even before you count the first vendor optimization decision.

What a Good Migration Process Looks Like

A well-managed data migration for a PI firm typically takes 2 to 4 weeks and follows this sequence:

1. Data audit (Week 1).The vendor reviews your existing data sources — spreadsheets, case management exports, vendor invoices — and identifies what's importable, what needs cleanup, and what starts fresh. You should get a clear written plan before any data moves.
2. Historical spend import (Week 1-2). Your vendor spend history by month and by source is loaded into the platform. This is usually the cleanest data you have and the most straightforward to import.
3. Case management integration (Week 2-3). The platform connects to LeadDocket, Filevine, Clio, or whatever system your firm uses. Existing open cases — and their current status — are pulled in. This gives you a starting snapshot of your pipeline.
4. Historical case data (Week 2-3). If your case management system has reliable source attribution for past cases, this data can be pulled to establish baselines. The quality depends entirely on how consistently your intake team tagged lead sources.
5. Validation and go-live (Week 3-4). You and the vendor review the imported data side by side with your existing records. Do the numbers match? Are there gaps? This is the step that builds confidence — or surfaces problems that need fixing.

What About the Data in Our Case Management System?

Here's the good news: your case management system is usually the richest and most reliable data source you have. It contains case status, signed dates, settlement amounts, attorney assignments, and case types. A revenue intelligence platform with a native integration pulls this data automatically.

The platform doesn't replace your case management system — it reads from it. Your case management data stays exactly where it is. The revenue intelligence layer sits on top, connecting your case data to your marketing spend data to produce the cost-per-case metrics that neither system provides on its own.

This means you're not “moving” data from one system to another. You're adding a layer that makes your existing data more valuable.

The Spreadsheet Archive Strategy

You don't have to delete your spreadsheets. In fact, don't. Here's a practical approach:

• Archive everything. Move your historical spreadsheets to a clearly labeled folder. Date it. Keep it accessible but out of your daily workflow.
• Run parallel for 60 days. During your first two months on the new platform, keep your spreadsheet process running alongside it. Compare the numbers. This builds trust in the new system and catches any integration issues early.
• Stop the spreadsheet process at day 60.Once you've confirmed the platform is producing accurate data, stop maintaining the spreadsheets. Your marketing director gets 15 hours per week back. This is the moment the ROI starts compounding.

What You Gain by Making the Switch

The data migration conversation focuses on what you might lose. Let's be equally specific about what you gain:

• Attribution you never had.Your spreadsheets probably track leads and maybe signed cases by source. They almost certainly don't track settlements by source. That 6- to 18-month gap is where the real ROI data lives — and it's data your spreadsheets were never going to capture.
• Real-time visibility.Instead of a monthly report that's two weeks stale by the time you present it, you get daily visibility into vendor performance. A vendor that goes sideways in week one gets caught in week one — not at the end of the month after you've already spent another $40,000 on them.
• Automated vendor grading.Instead of manually calculating cost per lead and conversion rate for each vendor in a spreadsheet, the platform does it continuously and adds cost per case and settlement data that your spreadsheet couldn't include.
• 15 hours per week. This is the number that changes everything for most marketing directors. Fifteen hours of data gathering, formatting, and report building — replaced by 15 minutes of reviewing intelligence and making decisions.

The Honest Answer

Some of your historical data will come with you. Some won't. The data that matters most — vendor spend and signed case counts — is usually importable. The data that's hardest to migrate — lead-level attribution from inconsistent spreadsheet tracking — is also the data that was least reliable to begin with.

The question isn't whether you can bring all your old data into a new system. The question is whether your old data is good enough to base $200K-per-month decisions on. For most PI firms, the honest answer is no. And that's exactly why the switch is worth making.

Start measuring correctly now, and in 90 days you'll have better data than your spreadsheets produced in three years. In 12 months, you'll have settlement-level attribution that your spreadsheets never could have delivered. The data you've already collected got you here. The data you collect going forward is what will actually prove your marketing ROI.