How to Defend a 2027 Marketing Budget When the Numbers Disagree

Three perfectly good numbers

In a recent review of hotel campaigns, Google’s conversions had fallen. GA4 showed a much healthier revenue picture. Meta’s creative was tiring, the season was changing, and there were search terms to clean up.

This is the sort of occasion on which a dashboard is usually asked to settle a dispute. Unfortunately, there were several dashboards, each with its own account of events. The campaigns, meanwhile, required attention whether or not the dashboards reached an agreement.

The team’s next steps were quite ordinary. Examine the tracking discrepancy. Look at last year’s seasonal pattern. Refresh the creative. Review the search terms. Bring the right people into a conversation about measurement.

I find the last step the most interesting. No one had discovered a superior attribution model in the course of the meeting. They had discovered that the number being used to judge the work needed checking.

A budget meeting, however, cannot wait for a miraculous ending.

What the numbers were actually for

It is tempting to ask which system is right. Google, GA4 or the CRM? The question sounds decisive, which is one of its attractions.

But the systems are not necessarily counting the same thing. An ad platform reports what it attributes to its campaigns. GA4 describes what it observed on the site under its own rules. A CRM may tell you whether an enquiry became a serious opportunity. Even when all three are working properly, they can disagree. When tracking is also in doubt, choosing the largest number is an especially cheerful way to make a bad decision.

In an earlier review of this same work, the team had already decided against a more advanced bidding approach because the tracking path was too fragile. That did not mean stopping the campaigns. It meant doing what could be done safely while the measurement problem was investigated.

This is a less glamorous answer than “move the budget to the winning channel”. It is also a better one.

For 2027 planning, I would ask what each number is being employed to prove. If the client wants bookings, a rise in form submissions is not the final answer. If the client wants qualified leads, an increase in reported conversions is not automatically good news. Before inviting a figure into the annual plan, ask it to explain its job.

What goes into the plan when certainty does not

I would take three pieces of paper into that meeting.

On the first: work that is producing a business result we can trace well enough to continue. Not perfectly. Well enough to defend the next period of spend.

On the second: work worth trying, with a limited budget and a date on which we will look again. A new audience, a different offer, or a fresh creative approach belongs here. A test without a decision date has a way of becoming a permanent expense.

On the third: matters that require investigation before anyone promises more money. The conversion discrepancy from the hotel review belongs on this page. So does a missing CRM handoff, a changed event definition, or a sales cycle too long for the reporting window. It would be odd to increase the annual budget because two systems disagree, but planning meetings have produced odder things.

Some work will not leave a tidy click path at all. A buyer may hear about a brand elsewhere and come back directly. Kevin Indig and Amanda Johnson make a useful case for examining several signals rather than treating site visits as the whole of marketing. I would still resist promoting every mention or branded search to the rank of a sale. It is evidence of attention, not a receipt.

When the question is genuinely causal, Google’s Conversion Lift is one way to compare exposed and control groups. It is not available to every account, and Google sets eligibility conditions. “We will run an incrementality study” should not appear in a proposal before someone checks whether the account can run one, or whether its result would change the decision.

Back to the next review

At the next agency review, someone should be able to say why the budget was held, what was tested, whether the tracking was fixed, and what happened to the bookings or qualified leads. If nobody can answer, the team has produced a report but lost the decision.

That is the unromantic problem we are working on at third i. Bringing campaign and analytics data together is useful. Preserving the goal, the disagreement, the proposed action and the person who approved it is more useful. A recommendation should not become more confident merely because a machine has written it elegantly.

The hotel review left the team with campaign work to do and a number to investigate. For a 2027 budget, I would rather start there than with a beautiful forecast built on a figure nobody trusts.