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// case study

Vendor Turned Customer: How Our Accountants Became Our Client

The people who do books for a living watched how we run ours — and asked for it.

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media · 4:3

// story one

The customer

A Texas CPA firm was our accountant for years.

The firm's owner reviewed our financials. Her daughter, the firm's vice president of operations, ran operations. They were good at their jobs - our numbers and theirs landed within one or two percent of each other, and the firm's owner was better at the work than anyone we'd hired before her.

Here's the part worth sitting with: a firm whose entire business is financial clarity could not see its own profitability in real time. That's not a knock on the firm. It's the norm. Books close weeks after the fact everywhere.

The wound

The firm billed much of its work as flat packages - tax and bookkeeping rolled into one fixed monthly fee. Convenient for clients, opaque for the firm. The revenue on an invoice said "bookkeeping." It didn't say whose hours went into it, or whether a cheap rate was hiding an expensive amount of work. As the firm's VP of operations put it during discovery, "We don't know how many flat packages we have, and we don't know anymore how profitable they were."

The data lived everywhere: QuickBooks, a master spreadsheet the whole firm ran on, a separate time system, text files scattered across a shared drive. When their accounting software migration broke reporting, the firm went six weeks without being able to run a profitability report at all. And at the level of the whole year, the firm's own leadership said the quiet part out loud: "we don't know if we're making money until April the 17th every year."

Our COO's reply: "well, that must be terrifying."

case study - a Texas CPA firm

// what we found

Accurate Books. Invisible Profit.

1-2%
how close our numbers ran to theirs
6 weeks
without a profitability report during their software migration
Opaque
flat fees hid where the work was profitable
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// what they told us

“
we don't know if we're making money until April the 17th every year.

The firm's leadership Texas CPA firm

Want us to map your flow the way we mapped theirs?

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It starts with looking at what your systems already track.

// the work, at a glance

  • Instrumentation to productdashboards and warnings, not just reports
  • 98.5%of timesheet entries matched automatically; ~1,300 mismatches being worked down
  • Dollars and hoursboth ways flat-package profitability is now measured

The conversation

Nobody pitched anything.

Across two years of routine financial reviews, the firm's owner watched how we run our own company - a dashboard updated hourly, warning sheets that flag timesheet errors the day they happen instead of at month end, distributions flexed against real cash. "My numbers are up to date every hour. My numbers are better than your numbers" was shop talk, not a sales line, because it was simply true and she could see it on screen.

"My numbers are up to date every hour. My numbers are better than your numbers."

In one of those reviews, after hearing about the warning sheets, the firm's owner said, "That sounds like stuff we need for sure" - and booked the next meeting herself, bringing the firm's VP of operations. In the demo that followed, we screen-shared our live systems. Real numbers, no mockups. Her buying question was one sentence: "Could you build a system that would pull from our time system?"

Of course. Everything has an API nowadays.

The work

This was an instrumentation engagement: build the eyes before the intelligence. You can't compute flat-package profitability until timesheets, billing, and engagements all speak the same language, so the first months were data work, not dashboards.

We pulled the firm's timesheet, billing, and engagement data into a single Postgres database - one source of truth instead of five partial ones. The master spreadsheet was full of what engineers call magic strings: client codes, state suffixes, and internal flags all mashed into one customer field that only made sense inside someone's head. We wrote rules to decode them, kept every row of raw data so nothing was ever lost, and worked with the firm to give the data a canonical shape.

Wildcards and regexes got the matching to about 98.5 percent. The remaining gap - roughly 1,300 timesheet entries that didn't line up with engagements - turned out to be typos and tribal shorthand, and a team member at the firm is working those down by hand, batch by batch. The master list itself moved from an annually rebuilt spreadsheet to a live data connection, so the week of yearly rebuild work goes away.

On top of that foundation sit the dashboards and warnings: per-engagement and per-person profitability, with flat packages finally measured both ways - dollars and hours - so an underpriced package gets caught even when a low-cost bookkeeper masks it.

Where it stands

A Texas CPA firm is now a client on an ongoing monthly retainer, with real-time visibility replacing the April-17th reveal. The retainer is structured so they can stop whenever the value stops. They haven't.

// what we showed them

Real Numbers. No Mockups.

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If your packages hide the same gap,

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the first pass is a map, not a pitch.

// the ladder

Vendor. Customer. Referrer.

01

Vendor

A Texas CPA firm did our books and reviewed our financials. They were good at it.

02

Customer

They noticed our numbers were up to date to the hour and theirs were not. We built them the eyes: one source of truth, real-time profitability.

03

Referrer

The firm's owner now points her own advisory clients our way when their data can't answer their questions. When your accountant refers her clients to you for financial visibility, that's the case study.

// sound familiar

Can't see your numbers either?

The same map that worked for a Texas CPA firm can work for you.

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// the first step

Start with the map.

If your firm bills flat fees and can't say which engagements make money, the first step is small: a map of your data flow, which you correct. Say no to the rest if the map doesn't earn it.

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// the work

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// proof

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