Scenario Planning: How CMOs Can Test Possibilities Before Approving the 2027 Budget
In brief: Scenario planning compares several plausible versions of the future and the decisions that would make sense under each, rather than relying on a single prediction. For the 2027 marketing budget, that means making the assumptions behind the plan explicit, prioritizing those with the greatest impact and uncertainty, and testing them before approval. At Galaxies, Nexus tests audience-related assumptions before spending with synthetic personas built from the client’s own real research, in time for October and November planning.
At the end of each year, marketing plans reach the committee with a familiar structure: last year’s results, a target, a channel budget, and a list of initiatives. What is often missing is the list of bets behind them. “Our audience will still respond to this argument.” “The second-half launch will be well received.” “The channel that grew this year will keep growing.” Each claim can steer millions, but teams rarely ask what happens if it proves wrong.
Every untested bet that reaches the committee sits inside the Signal-to-Decision Gap, the distance between a consumer signal and the brand’s response described in our decision-intelligence guide. Exact forecasts for the following year are rarely credible. A better plan knows what it is betting on and tests its most expensive assumptions before allocating money.
What is scenario planning in marketing?
Scenario planning constructs a few plausible versions of the future, usually three, and defines what a business would do in each. Unlike forecasting, it does not try to identify the one future that will happen. It aims to ensure the plan can hold up under more than one.
For marketing, there is a practical extension: in addition to imagining possible market conditions, teams can test how their audiences respond to the actions proposed under each scenario. This turns a strategic discussion into a comparison informed by evidence.
How is scenario planning different from a forecast?
A forecast asks what is likely to happen and produces a number or curve. Scenario planning asks what we will do if A, B, or C happens and produces several paths, each with decisions and triggers. A forecast compresses uncertainty into an expected value; scenarios accept it and prepare a response.
A forecast can produce a fragile plan when its main assumption fails. Scenarios can become a vague exercise if they are not tied to concrete decisions. The two methods complement rather than compete with each other: forecasting is useful for short-term operational targets with stable history, while scenarios protect annual budgets, launches, positioning changes, and decisions in volatile markets.
Why test assumptions before approving the 2027 budget?
There is less time to recover from a weak plan, and more pressure to show business outcomes. Driva and B2B Insiders’ Brazilian CMO study reports a median tenure of 3.4 years [1]. In a Makers and Uncover survey of 113 Brazilian marketing leaders conducted in May–June 2026, 41% said boards primarily evaluated marketing on revenue growth or market share [2]. A poorly grounded annual budget can use up a meaningful part of the time a CMO has to show results.
A mistaken bet approved in December may not show up in the numbers until the second quarter, after much of the budget has been committed. Testing in October or November costs less than finding out in May.
How do you build three planning scenarios?
We use three scenarios, each tied to decisions in the plan. The base case reflects the most likely continuation of current conditions: would the present positioning and channel allocation still work if little changed? An alternative case describes a plausible opportunity, such as a new product line or a segment that is not yet a priority, and asks how to capture it. A risk case describes a plausible threat, such as greater price sensitivity, and asks what to protect through retention or stronger proof of value.
Every scenario needs at least one associated marketing decision. Without it, a scenario is just a description of the future, not a useful input to budget approval.
How do you prioritize the budget’s assumptions?
An annual plan contains dozens of assumptions. Testing all of them is not practical. The matrix below combines each assumption’s effect on the result with how uncertain the team is about it.

Figure 1. Galaxies’ budget-assumption matrix: business impact by uncertainty. High-impact, high-uncertainty assumptions deserve testing before approval.
High impact and high uncertainty: test before approving. These are consequential bets supported by little evidence, such as the message for a major launch or entry into a new audience. High impact and low uncertainty: decide now; another test might merely delay the plan. Low impact and high uncertainty: monitor and test if the stakes rise. Low impact and low uncertainty: make the simplest reasonable choice.
Rather than assuming a fixed number of bets for every company, use the matrix to identify the handful that deserve attention during the planning window.
How can you test scenarios with synthetic personas?
For high-impact, high-uncertainty assumptions about audience reactions, such as messaging, launches, offers, positioning, or new segments, use personas built from the company’s own research. For each assumption, write the options implied by the scenarios, show them to the relevant audiences, and compare preference, reasons, and barriers. This follows the decision cycle in our decision-intelligence guide.
Imagine the assumption “Quality will remain our strongest argument in 2027.” The base option keeps a quality-led message. The opportunity option emphasizes convenience for a younger audience. The risk option makes value for money more prominent for price-sensitive buyers. Testing shows which argument each audience prefers today and what objections each raises.
The result cannot tell you which scenario will occur. It can show whether the current plan is robust under each one and what changing course might require. If a quality-led argument also resonates with price-sensitive buyers, the base plan has some protection. If it creates strong rejection, the team knows it needs an alternative ready.
This fits the planning cycle. A Nexus study runs in minutes; a structured verdict with human review is ready within 48 hours. At Mahta Bio, creative validation before a campaign reduced customer acquisition cost by 35%. Galaxies’ ROI calculator can help estimate the financial implications for your business.
How should you present scenarios to the CFO and board?
The conversation changes when marketing brings tested scenarios to finance. Instead of defending a target alone, the CMO can explain the evidence and contingency for each meaningful bet. Three elements work particularly well.
First, prepare one page per scenario with its premise, the associated marketing decision, the budget involved, and the market signal that would indicate it is emerging. Second, show what testing revealed for each high-impact, high-uncertainty bet: the option chosen, the alternative set aside, and why. That gives the board a defensible basis for the decision.
Third, agree on a response reserve with finance: budget released only if an opportunity or risk trigger appears. That avoids reopening the entire annual plan midyear. The question then shifts from “Is the target optimistic or conservative?” to “Are we comfortable with these bets and the fallback?”
What can’t simulation-based scenario planning do?
Three limits should be clear to the committee. It is not a deterministic forecast: the test compares options and shows how audiences respond today, not which future will come to pass. It does not replace formal evidence when that is required; for a few especially high-risk bets, it helps decide what deserves field research. And it depends on its source data: an audience absent from that research cannot be simulated from it. Entering a new segment may first require new research.
At Galaxies, reliability is assessed by comparing persona answers with those of real people from the same segment on questions not used to build the profiles. Conversations are also continually evaluated with the open DeepEval framework for relevance, bias, hallucination, profile fidelity, and toxicity.
An executive checklist for the 2027 budget
Does the plan explicitly list its underlying assumptions? Are there base, opportunity, and risk scenarios, each linked to a marketing decision? Were assumptions classified by impact and uncertainty? Were the high-impact, high-uncertainty bets tested before approval?
Does each scenario have market signals that would trigger a change of course? Is part of the budget reserved to respond if the opportunity or risk case emerges? Is a review scheduled at the end of the first quarter to compare test indications with what actually happened?
A budget that knows what it is betting on
The 2027 budget will be approved under uncertainty, like every budget before it. The difference is how much of that uncertainty the team has examined. A plan that names its assumptions, prioritizes the riskiest ones, and tests those involving audiences reaches the committee with a more honest story: not just “We will grow by X%,” but “These are our bets, this is what we know about each, and this is what we will do if one fails.”
October and November are the time to do that work. After approval, each test is a course correction. Before approval, it is still a choice. Read our predictive-marketing article for another way to anticipate reactions before committing spend.
Bring a 2027 planning hypothesis to Nexus
Choose a high-impact bet from your plan and compare options with your audiences before approving the investment. Explore how Nexus works.
Frequently asked questions about scenario planning
What is scenario planning?
It builds several plausible versions of the future, usually three, and defines what a business would do in each. Rather than betting everything on one prediction, it prepares the plan to hold up under several possibilities.
How is scenario analysis different from forecasting?
A forecast estimates what will happen, often as a number. Scenario analysis compares possible futures and defines decisions and triggers for each. They complement each other in annual planning.
How do you prioritize marketing-budget assumptions?
Rank each assumption by its business impact and level of uncertainty. Test high-impact, high-uncertainty assumptions before approving the budget. High-impact assumptions supported by strong evidence may not need another test.
Can synthetic personas predict what will happen in 2027?
No. They show how audiences respond today to the options under each scenario, including reasons and barriers. That helps assess whether the plan is prepared for each path, but it does not reveal which scenario will occur.
About the author
Daniel Victorino is CEO and co-founder of Galaxies, a consumer decision layer for marketing leaders at consumer businesses. Galaxies develops Nexus: Galaxies Lab, a platform for investigating and supporting decisions before spending, using synthetic personas built from real research with Brazilian consumers.
Sources
[1] Driva and B2B Insiders, Raio-X do CMO Brasileiro: https://raioxdocmo.driva.io/
[2] Makers and Uncover, O Futuro da Mensuração em Marketing, survey of 113 marketing leaders, May–June 2026: https://meet.uncover.co/o-futuro-da-mensuração-em-marketing-lkd
[3] Galaxies, client cases: https://www.galaxies.com.br/pt/clientes


