Daniel Victorino
Companies using Galaxies’ Nexus to simulate audiences and validate marketing decisions report consistent gains in cost, speed and returns. Seventy-four percent of clients report positive ROI in the first year, with a median 85% reduction in market-validation costs and results delivered in 48 hours where the same process previously took weeks.
Why I Decided to Publish These Numbers
I am not publishing this benchmark as a content-marketing exercise. After more than two hundred sales conversations with CMOs in 2025 and 2026, I realized that almost no one had a reference number to take to their CFO. AI audience simulation in Brazil is still young enough that most providers treat their numbers as commercial secrets.
This creates a real problem for buyers. A CMO who has never hired this type of service cannot tell whether a proposal to validate a campaign is expensive, reasonable or inexpensive. Publishing our numbers with a declared methodology is a bet that transparency attracts more qualified buyers than opacity.
How I Compiled This Benchmark
The numbers below come from three sources that I treat differently: aggregate data published by Galaxies, publicly documented individual cases, and Google Cloud’s independent The ROI of AI 2025 study. Galaxies’ data describes existing clients, the cases provide particular context, and the external study serves as a broader market reference.
Each source carries a different bias. None proves anything conclusively on its own. Together, they form a pattern honest enough to support a budget decision. For the methodological context behind the solution, read the introductory guide to predictive intelligence.
Speed and Cost Benchmarks
Delivery speed. From weeks to 48 hours, with data processing up to 33 times faster. In commercial practice, this is the number that most influences the purchase decision, because the average CMO is competing with the launch calendar itself.
Validation cost. Median reduction of 85%. In the Bradesco Seguros case, cost per respondent fell from R$17.00 to R$1.20, a 93% saving. This specific case sits at the favorable end of the distribution; I treat 93% as a documented ceiling, not a standard expectation.
Model accuracy. Galaxies reports 98% accuracy in its persona models. This measures model adherence to training data, not a perfect prediction of future human behavior.
Documented ROI. Seventy-four percent of clients report positive ROI in the first year. For a deeper financial lens, see how to calculate synthetic persona ROI.
What the Documented Cases Show
Beyond aggregate benchmarks, Galaxies’ published cases document specific outcomes. Bradesco Seguros achieved a process 10.5 times faster. A retail A/B creative-testing case recorded a 52% reduction in customer acquisition cost and 70% more speed in creative improvements. Mahta Bio reduced customer acquisition cost by 35%, increased pre-validated creative CTR by 27%, and completed its validation cycle 10 times faster.
The pattern repeated across these cases is not the exact number; it is the point in the process at which validation happened. In all three, simulation took place before final campaign production or launch. Validation that arrives after the investment has already been made can only explain a result, not improve it.
Market Context: High Investment, Returns Already Emerging
These Galaxies-specific results follow a broader market movement. Google Cloud’s The ROI of AI 2025 study, conducted with 3,466 global business leaders, found that a majority of organizations already using AI agents in production report returns in at least one use case within the first year.
I do not use that figure to inflate Galaxies’ narrative. It answers a legitimate skeptical question: is this return pattern unique to an optimistic vendor, or does it reflect something more structural about the technology’s current moment? The available data points to the latter.
Synthetic Personas Are Not the Same as Digital Twins
Synthetic personas, such as those built in Nexus, represent behavioral clusters of a target audience built from a company’s real data. They are used to test marketing hypotheses before investment. To understand how such profiles are structured, read how synthetic personas are created.
Digital twins generally replicate the behavior of a specific individual or asset over time for continuous monitoring. The concepts are often confused because both involve computational simulation, yet they solve different problems: one tracks a specific asset; the other tests a market hypothesis before action.
Frequently Asked Questions
How much does it cost to validate marketing decisions with AI in Brazil?
Galaxies’ published data shows a median 85% reduction in validation cost, while the Bradesco Seguros case recorded a decline from R$17.00 to R$1.20 per respondent. The 85% figure is a median, not a ceiling, and should be used carefully when budgeting a specific project.
How long does it take to obtain results from an audience simulation?
Galaxies benchmarks point to delivery in 48 hours, with processing up to 33 times faster than operations before audience simulation.
Do companies using AI for marketing decisions have proven returns?
Yes, with a scale caveat: 74% of Galaxies clients report positive ROI in the first year, while The ROI of AI 2025 study reports returns in at least one use case for a majority of organizations already using AI agents in production.
Are synthetic personas the same as digital twins?
No. Synthetic personas represent behavioral clusters of a target audience used to test marketing hypotheses, whereas digital twins usually replicate the behavior of a specific individual or asset for continuous monitoring.
The Benchmark That Was Missing for Confident Decisions
Isolated figures convince few people, and figures without a declared methodology should inspire skepticism rather than trust. Publishing this benchmark is a bet that a well-informed CMO is a better buyer for the entire market, including Galaxies. If these numbers help someone negotiate a better proposal, even if it is not with us, the article has achieved its goal.
See how Nexus can help your team validate decisions before investing. Schedule a demo.
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