Your marketing team just reported a 4.5x ROAS on last quarter's campaigns. Sounds impressive. Except three platforms are claiming credit for the same conversions, attribution models have lost visibility into 42 to 65% of customer journeys, and nobody is accounting for customers who would have bought anyway.
Welcome to the marketing measurement crisis.
The ROAS Problem: Revenue Without Profit
Return on Ad Spend has become the go to metric for marketing success. It is also one of the most misleading. Here's why: ROAS tells you how much revenue you generated per pound spent, but it tells you nothing about profit. A luxury watch retailer with 80% margins and a dropshipping phone case shop can both hit a 2.87:1 ROAS. One is making money, the other is barely covering costs. The number itself tells you almost nothing without context.
“ROAS doesn't account for organic conversions. Traditional metrics fail because they don't distinguish between actions that happened because of your marketing and actions that would have happened regardless.”
If someone searches for your brand name and clicks a paid ad, your marketing platform counts that as a win. But that customer was already coming to you. You've just paid for traffic you would have received for free.
In 2024, the median ROAS for ecommerce brands was 2.04. Half of all businesses are operating below a 2:1 ratio, yet marketing dashboards keep showing green arrows pointing up. Why? Because platforms are incentivised to take credit for as many conversions as possible.
Attribution Models: Broken by Design
Here's the fundamental problem with attribution: it attempts to assign credit for conversions across customer touchpoints, but it can no longer see most of those touchpoints. A groundbreaking study published in Marketing Science found that traditional multi touch attribution models have lost visibility into 42 to 65% of customer journeys, depending on industry vertical.
- Privacy changes: Cookie restrictions, ad blockers, and Apple's privacy features mean marketers can no longer track the buyer journey reliably
- Touchpoint complexity: The typical retail consumer now needs 56 touchpoints on average before completing a purchase
- Invisible channels: Attribution models miss almost every organic channel, word of mouth channel, and social engagement that doesn't pass a referral string
The result? Platforms are claiming credit for conversions they didn't drive. If someone sees an influencer mention your product on Instagram, searches for it on Google later, and buys it, Google gets all the credit. Your marketing team thinks Google Ads is performing brilliantly whilst the Instagram influencer partnership looks like a waste.
It gets worse. Running ads on multiple platforms creates attribution overlap. Facebook, Google, TikTok, and other platforms don't communicate with each other. The same conversion might be credited to multiple platforms, inflating your total attributed revenue exponentially.
The CFO's Dilemma: Confidence Without Competence
This confidence gap should concern you. Your marketing team believes they're measuring effectively whilst missing more than half the picture. Research shows that 83% of enterprise marketers report that limitations in their attribution capabilities directly impact budget allocation decisions. Organisations with inadequate attribution methodologies waste an average of 26% of their marketing budget on ineffective channels.
Nielsen found that strong CMO and CFO relationships can unlock financial improvements of 20% to 40%. But that requires speaking the same language, and right now, marketers are speaking in impressions whilst you're thinking in contribution margin.
What CFOs Should Measure Instead
Forget ROAS in isolation. Here's what actually matters:
- Customer Acquisition Cost with context: Track it against customer lifetime value and your contribution margin, not in isolation
- Incrementality, not attribution: Ask what would have happened without this marketing activity, using experimentation and control groups
- Marketing Mix Modelling: Use statistical analysis to quantify incremental impact with plus or minus 5 to 10% accuracy
- Cost Per Lead with purchase intent: Draw a direct connection between spend and purchase interest
Nielsen research shows that a 1 point gain in brand metrics like awareness and consideration typically drives a 1% increase in sales. You can model this.
The Bottom Line
“Your marketing dashboard probably shows inflated numbers. Platforms are designed to demonstrate their own value, attribution models are missing most customer journeys, and ROAS doesn't account for profit. The measurement crisis has arrived.”
Ask your marketing team these questions: How much attribution overlap exists across our platforms? What percentage of our paid search spend goes to branded keywords we'd rank for organically anyway? When was the last incrementality test run? Can you separate revenue growth from campaigns versus revenue that would have happened regardless?
If they can't answer, you're flying blind. And that 4.5x ROAS? It's probably closer to 2x when you account for reality.