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An Expense Management Fintech Found $30K a Month in Ad Spend Doing Nothing

A B2B fintech company was running four paid channels with platform dashboards that all claimed credit for the same conversions. Real CRM-tied attribution found which channels were actually driving pipeline, and which weren't.

Challenge
Each ad platform's dashboard showed strong performance, but when the numbers were added up, they claimed more conversions than the company had actual new customers that quarter. Nobody could say with confidence which channel was actually responsible for a given closed deal, so budget stayed split roughly evenly across all four out of caution.
Solution
We implemented CRM-tied attribution that traced each opportunity back to its actual first-touch and last-touch channel using the company's existing CRM data, rather than relying on each ad platform's self-reported, and often overlapping, conversion claims.
Result
Identified that one channel was responsible for under 4% of actual closed revenue despite consuming 22% of budget, freeing up roughly $30,000 a month to reallocate to what was actually working

Every ad platform dashboard told a good story. The problem was that the four stories, added together, didn’t match the number of actual customers the company had closed.

The math that didn’t add up

Adding up self-reported conversions across all four ad platforms produced a number well above the company’s actual new customer count for the quarter. That’s a common artifact of platform-level attribution, where each platform claims credit for any conversion it touched, but it meant nobody could trust the numbers enough to make a real budget decision.

Tracing deals back through the CRM, not the ad platforms

We built attribution logic that traced each closed deal back through the CRM’s own lead-source and touchpoint data, rather than trusting any single platform’s self-reported numbers. This meant every dollar of spend could finally be tied to actual revenue instead of a platform’s internal conversion count.

Results

The exercise revealed one channel, responsible for 22% of total ad budget, was actually driving under 4% of closed revenue. Reallocating that roughly $30,000 a month toward the two channels the CRM data showed were genuinely working gave the company real budget efficiency for the first time in over a year.

FAQ
Why did the platform dashboards disagree with reality so significantly?

Each platform uses its own attribution window and counts a conversion if its ad was involved anywhere in the customer's journey, even if another channel actually closed the deal. Stacked together, the four platforms were claiming well over 100% of total conversions between them.

What happened to the underperforming channel once it was identified?

Budget was cut by 80% and reallocated to the two channels the CRM data showed were actually driving closed revenue. The underperforming channel wasn't eliminated entirely, since it still served a smaller, well-defined purpose, but it stopped receiving a quarter of the total budget by default.

Does this kind of attribution work require a specific CRM or tech stack?

It works with any CRM that tracks lead source and deal stage consistently, which most mid-market fintech and SaaS companies already have. The harder part is usually getting the sales team to log lead source accurately, not the technical setup itself.

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