Companies that adopt TDABC methodology see, on average, a 3x improvement in EBIT. Not 3%. Three times the operating profit. So why do most companies never start? Because the Excuse Factory never closes.
Every week we hear the same objections from finance directors, CFOs, and CEOs. They’re smart people at real companies with genuine pressures. But the excuses they reach for — however reasonable they sound — are costing them more than the problem they’re trying to avoid. Let’s take them apart, one by one.
Barrier 1: “Our data isn’t ready”
This is the most common excuse and the most expensive one. The logic sounds rational: we need clean, complete data before we can build a model. But in practice, “data readiness” becomes an infinite regression. There’s always another system to integrate, another exception to handle, another dataset to clean.
The reality: we’ve built full profitability models from two CSV files in under an hour. A general ledger export and a transaction log. That’s often enough to identify which 20% of clients generate 200% of the profit — and which 30% destroy it. Perfection is the enemy of insight. A rough model built today beats a perfect model delivered never.
The useful question is not “is our data perfect?” but “do we have enough data to start learning?” The answer is almost always yes.
Barrier 2: “We’re migrating ERPs right now”
The ERP migration excuse is remarkable in its persistence. We have clients who have been “in the middle of an ERP migration” for eighteen months. They will be in the middle of one for another twelve. ERP migrations rarely end on schedule, and they never end cleanly.
Meanwhile, every month of delay is a month of flying blind. You’re making pricing decisions, resource allocation decisions, and client retention decisions without knowing which activities are profitable and which are subsidized by the ones that are. The ERP migration is not a reason to wait. It’s a reason to start — before the new system locks in the same cost distortions as the old one.
A profitability model built now can also serve as a valuable reference point for the migration itself: knowing your true cost structure helps you configure the new system to capture the right data from day one.
Barrier 3: “We don’t have time”
This excuse made more sense five years ago. A TDABC implementation used to require a dedicated team for six months: workshops, interviews, time studies, manual model building. Today, with AI-assisted analysis, modern tooling, and pre-built frameworks, the same work is measured in days, not months.
We routinely deliver a first working profitability model within a week of kickoff. The Whale Curve — the chart that shows which clients are generating profit and which are destroying it — can be on your screen in days. The time objection has been collapsed by technology that didn’t exist three years ago.
If you genuinely can’t find a week to understand whether your business is profitable at the client level, that’s a different problem — one that no amount of ERP sophistication will solve.
Barrier 4: “It’s too expensive”
The cost objection is anchored to the old world of profitability analysis. In the traditional consulting model, TDABC implementations ran to hundreds of thousands of euros and took half a year. That’s the price point people have in their heads when they hear “profitability model.”
Today that number is a fraction of what it was. AI-assisted modelling, cloud tools, and purpose-built platforms like CostCTRL have fundamentally changed the economics. A full profitability model with Whale Curve analysis and actionable recommendations is now accessible to mid-market companies, not just multinationals with big transformation budgets.
More importantly: the cost of not knowing is not zero. Every quarter you operate without visibility into client and product profitability, you’re subsidizing your worst clients with the margins from your best ones. That subsidy is the real cost.
Barrier 5: “The CFO isn’t convinced”
When we hear this, we usually hear something else underneath it: the CFO is worried about what the model will reveal. Not that it won’t work — but that it will. That it will surface uncomfortable truths about key accounts, flagship products, or strategic investments that have been “strategic” for years without generating returns.
The model doesn’t judge. It illuminates. Knowing that a large client is unprofitable doesn’t mean you fire them tomorrow — it means you have a conversation, adjust pricing, renegotiate terms, or consciously decide the relationship has strategic value that justifies the cost. That’s a better decision than the one you’re making now, which is to subsidize them unknowingly.
CFOs who have seen the Whale Curve once always want to see it again. The resistance usually dissolves on first contact with real data.
Barrier 6: “The CEO doesn’t see the need”
This one is almost always because the CEO has never seen a Whale Curve. Once you show a chief executive a chart where 20% of clients generate 200% of the profit, and the bottom 30% consume all of it and more, the conversation changes permanently. They never unsee it.
The challenge is getting the CEO in front of that chart. This is where a free Health Check or a mock profitability model — built with representative data — does its job. It’s not a sales pitch. It’s a demonstration that the problem is real, specific to their company, and solvable. The CEO who “doesn’t see the need” hasn’t yet seen their own Whale Curve.
Barrier 7: “We tried this before and it failed”
This is the most emotionally charged objection, and it deserves the most careful response. Something genuinely failed. People put time and energy into it. There was probably internal conflict over the results. The project died before it produced value.
But what failed? In almost every case we investigate, the failure was in tooling and governance, not in the methodology itself. A single analyst trying to build an ABC model in Excel, working for six months, producing something that no one could maintain or update — that’s not a methodology failure. That’s a structural failure.
Modern TDABC with purpose-built tooling is a different thing entirely. It updates continuously as new transaction data comes in. It doesn’t depend on one analyst who might leave. It produces results in days, not months. Dismissing the approach because of what happened with a spreadsheet model in 2018 is like refusing to use GPS because a paper map let you down once.
The real cost of the Excuse Factory
Every week the Excuse Factory stays open, the costs accumulate. Unprofitable clients are retained and even grown. Profitable clients are under-resourced because you don’t know which ones they are. Pricing decisions are made on intuition rather than data. Resources flow toward activities that consume margin instead of generating it.
The Excuse Factory is not free. It’s one of the most expensive operations in your business — you just can’t see it on the P&L. That’s the problem the model solves.
Start with a free Health Check
You don’t have to commit to a full implementation to start learning. Our free Profitability Health Check takes twelve questions and fifteen minutes to complete. It identifies which of the seven barriers apply to your company and gives you a concrete, actionable starting point — whether or not you ever work with us.
Comment DEMO on our LinkedIn post and we’ll build a mock profitability model for your company. No files needed. No cost. No commitment. Or take the Health Check directly at costandprofitability.com/health-check/