Markets MRI
| Product under review | A marketing intelligence platform, including a data hub and a measurement module, for validation among Brazilian marketing teams, data teams, and agencies. |
|---|---|
| Decision | Should this company invest in validating Brazil for this product? |
Executive summary
Approve a limited, gated validation in Brazil, not a market launch. Brazil has substantial observable advertising activity across digital and television, and the product has relevant connector and delivery capabilities. However, the evidence does not establish Brazilian customer pain, local connector fit, buying authority, acceptable economics, enterprise readiness, or willingness to pay. Historical Human Evidence reinforces that incumbent workflows, integration burden, and authority must be tested account by account. [1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12]
Invest in a tightly bounded Brazil validation focused on marketing-intensive advertisers and agencies with complex, consequential reporting workflows. Require real data, confirmed authority, a feasible implementation path, and explicit workflow and economic thresholds. Do not approve launch investment unless repeated account tests meet those thresholds and produce the predefined commercial next step. [3] [4] [5] [6] [7] [8] [13] [9] [10] [11] [12]
Brazil market overview
| Topic | What we know | Why it matters |
|---|---|---|
| Advertising activity | Agency-mediated Brazilian media investment totaled R$28.9 billion in 2025, with R$5.5 billion recorded in the first quarter of 2026. [4] [7] | This establishes substantial observable advertising activity, but it does not measure demand or willingness to pay for the product. |
| Cross-channel media mix | Internet and television each represented about two-fifths of agency-mediated spending from January through September 2025, while digital activity also spanned mobile, social, search, and video. [5] | A mixed channel environment is relevant to cross-channel reporting validation, but spend allocation alone does not prove reporting pain. |
| Advertiser and agency environments | IAB estimated that agencies purchased 67% of Brazilian digital advertising investment in 2024 and advertisers purchased 33% directly. [1] | Both groups are valid environments for outreach, but the data does not identify who buys or approves marketing-intelligence software. |
| Enterprise data environment | Brazilian companies with at least 250 employees reported higher cloud storage, cloud processing, big-data analysis, and AI use than the broader surveyed population. [8] [9] | Large companies may be practical early validation targets, although these indicators do not establish marketing-data maturity or adoption readiness. |
| Product fit with existing stacks | The product documents broad connector coverage and exports to spreadsheets, BI tools, warehouses, object storage, and internal dashboards, with availability varying by plan. [2] [10] | Technical breadth is relevant, but local source coverage, reliability, plan availability, and full-stack fit remain unverified. |
| Pricing and configuration | Published Data Hub plans start from $300 and $600 per month billed annually, while capacity charges vary with connectors, accounts, and destinations. [3] | Validation must test configuration-specific cost and Brazilian commercial acceptance rather than assume affordability from global list pricing. |
Brazil is credible enough to justify learning expenditure because it has substantial, multi-channel advertising activity and observable enterprise data adoption. It is not yet credible enough to justify launch expenditure because local workflow pain, connector fit, authority, economics, compliance readiness, and commercial action remain unproven.
How companies handle this workflow today
A likely target workflow spans media buying, source systems, agency operations, data preparation, reporting destinations, and approval. Each layer must be observed in a real account.
| Workflow layer | Concrete elements |
|---|---|
| Media buying | Agency-purchased and directly purchased digital media, including substantial programmatic activity. [1] [11] |
| Marketing-data sources | Mobile, social, search, video, retail-media, and other platform data with different dimensions and identifiers. |
| Agency operations | Participating agencies already use approved software providers for agency and media-order workflows. |
| Data preparation and delivery | The product can connect, standardize, store, and send data to spreadsheets, BI tools, warehouses, object storage, and internal dashboards. [2] |
| Measurement and budget decisions | Separate measurement plans and expanded budget-management capabilities exist, but Brazilian use and adoption are not established. [10] |
| Enterprise review | Identity, access, audit, service, security, privacy, contracting, and implementation requirements may condition deployment. |
Where the product may have a role
The product should initially be tested as the data preparation and delivery layer within an existing reporting stack. Replacement, measurement expansion, or broader workflow change should follow only after the current failure and migration burden are demonstrated.
This is a validation archetype derived from current public market and product facts, not an observed workflow for Brazilian target accounts. Actual tools, failures, ownership, and consequences remain unknown.
Human Evidence Signals
The accepted package contains 92 Human Evidence Signals. Human evidence is drawn from proprietary research across directly relevant and comparable market contexts. Applicability is evaluated internally before evidence is used. The signals support a cautious workflow-led validation design, not a demand or sales conclusion.
Historical research found established operating workflows, making the actual reporting chain and its owners the starting point for validation.
Management implication
Begin with a real reporting chain, not a category-level discussion.
Problem recognition was conditional, and the research included limiting evidence; prospects must demonstrate a consequential current mismatch.
Management implication
Require evidence of a consequential mismatch in the current process.
Existing tools, manual work, and workarounds may already perform the job, and an adequate incumbent is a valid reason to stop.
Management implication
Treat the incumbent as a combination of tools, manual work, and handoffs.
Integration, implementation ownership, and support expectations can determine whether workflow change is feasible.
Management implication
Verify connectors, permissions, identifiers, and destinations before discussing replacement.
Adoption burden and organizational readiness vary, so tests should be segmented by stack, ownership, reporting discipline, and capacity to change.
Management implication
Map workflow ownership, budget authority, approval, and implementation responsibility separately.
A title, expression of usefulness, or price discussion does not establish approval authority, buying intent, or willingness to pay.
Management implication
Let an adequate incumbent or infeasible implementation stop the test.
These historical observations guide qualification and test design only. They do not measure prevalence in Brazil or establish current workflows, authority, buying intent, willingness to pay, adoption, or commercial outcomes.
What this changes in your plan
1. Replace market-size inference with account-level problem proof
Assumption: Advertising activity indicates enough demand to support market entry.
What we found: Brazil has substantial advertising activity, but spending totals do not establish fragmented-data pain, buying intent, or willingness to pay.
What to do differently: Use public activity data only to select validation pools. Require each account to demonstrate a consequential reporting failure before product evaluation.
2. Make local data-path verification a qualification gate
Assumption: Broad global connector coverage will transfer to Brazilian workflows.
What we found: The product documents broad connector and destination coverage, but Brazil-specific source fit and workflow reliability are not established.
What to do differently: Verify every required source, account permission, identifier, transformation, and destination using a real prospect workflow before commercial testing.
3. Separate workflow ownership from purchasing authority
Assumption: Marketing leadership interest identifies the buyer and supports a pricing discussion.
What we found: Historical research shows that workflow knowledge and job title do not consistently establish budget, approval, procurement, or signature authority.
What to do differently: Map the user, data owner, implementation blocker, budget holder, procurement path, and final approver before treating interest as progress.
4. Validate local economics and enterprise readiness before launch spending
Assumption: Global packaging and enterprise controls are sufficient for Brazil.
What we found: Public pricing varies by plan and configuration, while Brazil-specific commercial, privacy, hosting, invoicing, localization, and security conditions remain unknown.
What to do differently: Test localized total cost and complete a Brazil-specific procurement review before local hiring, broad localization, or launch commitments.
What supports the opportunity — and what could break it
What supports it
- Brazil has substantial observable agency-mediated advertising activity across digital and television channels. [4] [5]
- Agencies and direct advertisers provide two distinct environments for workflow validation. [1]
- Commerce, services, electronics and computing, finance, and education are visible pools of digital-advertising activity for account research.
- Larger Brazilian companies report stronger cloud and advanced-data indicators than the broader surveyed population. [8] [9]
- The product can be evaluated alongside existing spreadsheet, BI, and warehouse workflows rather than only as a complete stack replacement. [2]
- Historical research provides a practical basis for testing real workflows, coexistence, and migration effort.
What could break it
- Existing tools, manual processes, or agency systems may be adequate, eliminating a material reason to change.
- Broad global connector counts do not establish coverage or reliability for the local sources used by Brazilian target accounts. [2]
- Global list prices and configuration units do not establish Brazilian total cost, affordability, or willingness to pay. [3]
- Workflow participation or a senior title may not identify the person controlling budget, procurement, approval, or signature.
- Implementation effort, support expectations, and required behavior change may outweigh the value of improved reporting.
- Published enterprise controls do not establish Brazil-specific privacy, hosting, contracting, invoicing, localization, or security readiness.
Invest in a tightly bounded Brazil validation focused on marketing-intensive advertisers and agencies with complex, consequential reporting workflows. Require real data, confirmed authority, a feasible implementation path, and explicit workflow and economic thresholds. Do not approve launch investment unless repeated account tests meet those thresholds and produce the predefined commercial next step.
Who needs to be involved
| Person or team | What we need from them |
|---|---|
| Marketing reporting or measurement owner | Owns the reporting outcome and must demonstrate that the current mismatch has a material operating or decision consequence. |
| Marketing data or analytics owner | Controls source access, data definitions, warehouse delivery, permissions, and implementation feasibility. |
| Finance or marketing-budget stakeholder | Evaluates whether improved reporting or measurement changes budget governance sufficiently to justify cost. |
| Procurement, legal, privacy, and security reviewers | Reviews privacy, security, contracting, invoicing, service levels, and vendor requirements for Brazil. |
| Agency operations or client-reporting lead | May own incumbent agency systems, client reporting, or operational handoffs that affect integration and adoption. |
| Confirmed budget holder and final approver | Must be identified through the account's actual approval process; title alone does not establish authority. |
Questions we still need answered
- Which Brazil-specific advertising, retail-media, commerce, CRM, and agency systems must the product support, and with what reliability?
- Which target accounts have a consequential reporting or measurement failure that their current workflow cannot adequately resolve?
- Who owns the workflow, implementation, budget, procurement, approval, and signature in each target account?
- What localized price, taxes, implementation burden, support model, and contract terms will an authorized buyer accept?
- Can the product satisfy Brazil-specific privacy, security, hosting, invoicing, contracting, and localization requirements?
- Which account definition and segmentation method can produce a defensible target-account estimate without combining incompatible business counts?
Not yet: Delay a Brazil launch, local hiring, broad localization, partner recruitment, and connector development until repeated account tests meet the frozen workflow, implementation, authority, and economic thresholds.
Recommended next test
Test whether the product can improve one consequential Brazilian reporting workflow without unacceptable integration, adoption, or economic burden.
Run account-level discovery followed by a controlled proof using one real reporting chain. Before testing, management must freeze thresholds for reconciliation time, error reduction, implementation effort, required support, and acceptable annual price. Map the incumbent workflow, verify data access and connectors, process real data into an existing destination, and present measured results and commercial terms to the confirmed approver.
| Who should join? | Brazilian marketing workflow owners, data owners, finance or budget stakeholders, procurement or security reviewers, and the person with confirmed approval authority across advertisers and agencies. |
|---|---|
| What should we inspect? | A Portuguese-language workflow map, connector and permission checklist, configured data path, before-and-after result sheet, implementation plan, and written commercial decision record. |
| What should we record? | Current tools, manual handoffs, reporting delays, reconciliation errors, data ownership, local sources, permissions, destination systems, implementation effort, support needs, approval path, and the approver's response to priced terms. |
| What is a good signal? | Real data produces an improvement that meets every frozen threshold, the implementation owner accepts the burden, required controls pass review, and a confirmed approver takes the predefined commercial next step. |
| When should we stop? | Stop for an account if the incumbent is adequate, the problem has no material consequence, required data or connectors are unavailable, authority cannot be confirmed, implementation is infeasible, or any measured result fails its frozen threshold, including acceptable annual price. |
| What should wait? | Delay a Brazil launch, local hiring, broad localization, partner recruitment, and connector development until repeated account tests meet the frozen workflow, implementation, authority, and economic thresholds. |
Sources and method
| Source | Scope and limitation |
|---|---|
| [1] IAB Brasil iabbrasil.com.br | Supports accepted public evidence on advertiser and agency purchasing share. Does not identify who buys or approves marketing-intelligence software. |
| [2] Data Connectors — Marketing & sales data connectors funnel.io | Supports accepted public evidence on connector and destination coverage. Local source coverage and reliability for Brazil remain unverified. |
| [3] Plans & prices for marketers, analysts or agencies funnel.io | Supports accepted public evidence on published list pricing. Does not establish Brazilian total cost or affordability. |
| [4] Cenp — Meios cenp.com.br | Supports accepted public evidence on agency-mediated media investment totals. Aggregate figure, not Funnel's addressable market. |
| [5] Painel Cenp-Meios: investimento publicitário no mercado brasileiro cenp.com.br | Supports accepted public evidence on channel mix. Spend allocation alone does not prove reporting pain. |
| [6] Understanding Flexpoints help.funnel.io | Supports accepted public evidence on capacity-based charges. Configuration-specific cost remains untested for Brazil. |
| [7] Anunciantes investem R$19,4 bilhões em mídia por meio de agências cenp.com.br | Supports accepted public evidence on agency-mediated investment. Aggregate figure across all advertisers and agencies. |
| [8] Cetic.br — Centro Regional para o Desenvolvimento da Sociedade da Informação cetic.br | Supports accepted public evidence on enterprise cloud and data-tool adoption indicators. Does not establish marketing-data maturity. |
| [9] Cetic.br — Centro Regional para o Desenvolvimento da Sociedade da Informação cetic.br | Supports accepted public evidence on company-size data-adoption indicators. Does not identify adoption readiness for a specific product. |
| [10] March 2026 release notes help.funnel.io | Supports accepted public evidence on current product capabilities. Brazilian use and adoption are not established. |
| [11] Mapa de Empresas — Empresas & Negócios gov.br | Supports accepted public evidence on registered business counts. Scope is incompatible with a defensible target-account estimate without further segmentation. |
| [12] Notícias | Agência de Notícias agenciadenoticias.ibge.gov.br | Supports accepted public evidence on general economic/business context. Not a marketing-software demand measure. |
| [13] Funnel Measure funnel.io | Supports accepted public evidence on measurement-product capabilities. Brazilian adoption and fit are unverified. |
Human evidence methodology
These historical observations guide qualification and test design only. They do not measure prevalence in Brazil or establish current workflows, authority, buying intent, willingness to pay, adoption, or commercial outcomes.
Why Markets MRI is different
Markets MRI is built on more than six years of market research, including 2,000+ interviews and research conversations across multiple markets and industries. For each decision, Markets MRI identifies the Human Evidence Signals most relevant to the product, market, workflow, and organizational context.
Human Evidence is combined with current public information about the target market, competitors, technology, regulation, pricing, and other decision-relevant conditions.
AI models help retrieve current information, organize evidence, identify patterns and contradictions, and produce decision-oriented synthesis. They do not create the proprietary human research. Claims remain bounded by provenance, applicability, and quality controls.
The result is not an AI-generated market summary. It is a decision analysis grounded in proprietary human research and current market evidence.
What the system does
This report uses public sources retrieved current to the evidence date and historical Human Evidence. Public figures are market context, not the reviewed company's addressable market. Historical observations are non-prevalence signals and do not establish current demand, authority, willingness to pay, or commercial outcomes. The target workflow and decision thresholds remain unknown until documented and approved.
The 2,000+ figure refers to the broader Markets MRI research history. It does not mean this individual report used all of those interviews or conversations. Company name, sources with identifying account details, and interview content are redacted for this public sample; every other element — structure, evidence-linking, and the pipeline that produced it — is unmodified.
This example illustrates the Baseline MRI stage. It does not demonstrate the full Living MRI or Research Agent workflow, which are still in development.