Why last-click was lying to the CFO — and how one brand proved it

The Situation

A subscription wellness brand was caught in a recurring conflict that will be familiar to any marketing leader who has sat across the table from a skeptical CFO. The marketing team believed their Meta and TikTok campaigns were driving subscriber growth. Finance saw no correlation between monthly ad spend increases and revenue changes when analyzed at the channel level.

The CFO’s position was unambiguous: “If I can’t see it in the P&L, I’m cutting the budget.” A 30% reduction in digital ad spend was on the table for the following quarter. The marketing team knew the spend was working — they could feel it in pipeline velocity and brand search volume — but they couldn’t prove it in the language finance required.

The core problem was methodological. Marketing was presenting attribution data that showed Meta and TikTok driving conversions. Finance was looking at the same time period and seeing no statistically significant correlation between channel-level spend changes and revenue outcomes. Both were technically correct. Both were working from incomplete data.

The Approach

The brand engaged Roblec to provide an independent reference point that neither marketing nor finance had generated internally. Roblec delivered channel-level spend estimates for the brand itself, along with competitive benchmarks showing how category peers allocated budget across the same channels.

The comparison served as a diagnostic tool: the brand could evaluate its own reported spend and attribution data against Roblec’s independent estimates, and see how its channel mix compared to the broader category.

The Finding

Two discrepancies emerged. First, the brand’s self-reported Meta spend — when compared against Roblec’s independent channel-level estimate and category benchmarks — appeared inflated relative to the results it was generating. Category peers with similar Meta concentration ratios were reporting different performance patterns, which prompted the brand to audit its attribution setup. The audit revealed overlapping retargeting audiences were causing conversions to be double- and triple-counted across Meta campaign sets.

Second, Roblec’s category data showed that higher-performing brands in the wellness space allocated a significantly larger share of budget to TikTok than the brand was doing. This was consistent with marketing’s intuition that TikTok was contributing to growth — but the internal attribution model, which relied on last-click, consistently undervalued TikTok because it rarely produced the final click before conversion.

The net effect: finance was right that Meta spend didn’t correlate with revenue, because Meta’s credited conversions were inflated. Marketing was right that campaigns were working, because TikTok was doing heavy lifting — the attribution model just wasn’t capturing it.

The Outcome

The brand presented Roblec’s independent data alongside internal reports at the next board meeting. The framing was deliberate: this was not marketing arguing for its budget; this was independent third-party data showing where spend was allocated across the category and where the brand’s own numbers diverged from that picture.

The CFO’s response: “This is the first time someone has shown me marketing data that looks like it was audited rather than advocated.” The planned budget cuts were reversed in full. Both teams agreed on a measurement framework that incorporated independent third-party validation as a regular check on attribution accuracy.

Marketing reallocated spend to better reflect category patterns, increasing TikTok investment and reducing redundant Meta retargeting.