As melhores alternativas ao Supermetrics em 2026 são Porter Metrics, Funnel.io, Windsor.ai, Improvado, Whatagraph, AgencyAnalytics, Dataslayer, Coupler.io, Power My Analytics e Databox. As equipes mudam do Supermetrics principalmente por causa de aumentos de preço, preços complexos por destino e suporte lento ao cliente. A maioria das alternativas nesta lista oferece preços mais simples e começa entre $15–$50/mês, comparado à faixa de $37–$499/mês do Supermetrics.
Divulgação: Eu sou o Juan, fundador do Porter Metrics, uma alternativa ao Supermetrics com 6+ anos no mercado. Todas as afirmações neste artigo são baseadas em dados públicos e fatos verificáveis para que você possa fazer uma comparação objetiva.
Resposta rápida — Melhores alternativas ao Supermetrics em 2026
- Porter Metrics: Relatórios de Marketing Cross-Channel e Automação com IA (a partir de $15/mês · plano gratuito para sempre)
- Funnel.io: ETL de Marketing Empresarial (a partir de ~$200/mês)
- Windsor.ai: ETL No-Code Acessível (a partir de $23/mês · plano gratuito para sempre)
- Improvado: ETL de Marketing Empresarial (a partir de ~$3.400/mês · apenas demo)
- Whatagraph: Plataforma de Relatórios com IA (a partir de ~$270/mês · plano gratuito disponível)
- AgencyAnalytics: Relatórios para Agências (a partir de $59/mês)
- Dataslayer: Alternativa Econômica ao Supermetrics (a partir de $39/mês · plano gratuito disponível)
- Coupler.io: Automação de Dados de Uso Geral (a partir de $32/mês · plano gratuito disponível)
- Power My Analytics: PPC e E-commerce focado nos EUA (a partir de $49,95/mês)
- Databox: Dashboards e Acompanhamento de Metas para PMEs (a partir de $199/mês · plano gratuito disponível)
Todas as ferramentas testadas na prática. Preços verificados em março de 2026. Ir para comparação completa →
Por que buscar uma alternativa ao Supermetrics
Equipes de marketing buscam alternativas ao Supermetrics porque:
devido à liderança de mercado deles, não por um serviço melhor
relatado repetidamente no G2 Crowd e no Trustpilot
que demoram muito para resolver
O Supermetrics adicionou mais de 150 conectores e mais destinos: ferramentas de visualização de dados, data warehouses, API, MCP para conectar a chats de IA, e exclusivamente, ferramentas de gerenciamento de projetos como Monday.com como destino de dados (um recurso compartilhado apenas pelo Coupler.io nesta lista).
Os preços deles aumentam com o tempo e não são óbvios com Google Sheets ou Looker Studio quando você compra algumas conexões. Você vai perceber quando precisar de outros destinos como data warehouses, ou quando o número de fontes de dados e contas escalar, especialmente para marcas e agências maiores.
1. Preços mais altos e complexos
O preço do Supermetrics depende de várias variáveis ao mesmo tempo. Veja o que cada plano inclui e o custo de cada complemento (fonte: supermetrics.com/pricing, verificado em março de 2026):
| O que está incluído | Starter ($37/mês) | Growth ($199/mês) | Pro ($499/mês) |
|---|---|---|---|
| Preço anual (20% de desconto) | $348/ano | $1.908/ano | $4.788/ano |
| Destinos | 1 | 1 | 1 |
| Fontes de dados | 3 | 7 | 10 |
| Contas por fonte | 3 | 7 | 10 |
| Usuários | 1 | 2 | 3 |
| Frequência de atualização | Semanal | Diária | Por hora |
| Transformações de dados (métricas personalizadas, dimensões personalizadas) | Não incluído | Não incluído | Não incluído |
| Armazenamento | Não disponível | Não disponível | +$499/mês ($399/mês anual) |
| Linhas de API / MCP | 50.000 linhas/mês | 250.000 linhas/mês | 500.000 linhas/mês |
| Acesso ao workspace | Não incluído | Não incluído | Não incluído |
Além do plano base, o Supermetrics cobra por complementos:
| Complemento | Custo por unidade | Limite |
|---|---|---|
| Destino adicional | $37/mês (Starter), $187/mês (Growth/Pro) | Até 3 no Starter, 2 no Growth, 4 no Pro |
| Fonte de dados adicional | $37/mês | Até 5 no Starter, 12 no Growth, 15 no Pro |
| Contas adicionais por fonte | $13/mês por conta | Até 10 no Starter, 15 no Growth, 20 no Pro |
| Usuário adicional | $37/mês (Starter), $124/mês (Growth), $99/mês (Pro) | Até 3 no Starter, 5 no Growth, 5 no Pro |
Nota: O Supermetrics mostra preços anuais por padrão em sua página de preços.
Em comparação: O Porter Metrics tem uma variável de preço: contas de fontes de dados, a partir de $15/mês por conta. Todos os destinos, transformações de dados, armazenamento, linhas de API ilimitadas e usuários ilimitados incluídos em todos os planos.
2. Suporte ao cliente
O que o Supermetrics fez bem: investiram em contratação. Com base na página do LinkedIn (497 membros associados), cerca de 43% da empresa está em funções de suporte ou voltadas ao cliente:
- Suporte: 69 membros (13,9%)
- Customer Success: 146 membros (29,4%)
- Outras funções: 282 membros (56,7%)
Estimado a partir de filtros de palavras-chave do LinkedIn. Não é exato, mas direcional.
O que os usuários relatam: no Trustpilot, o Supermetrics tem nota 1.8/5. No G2, suporte é um dos principais temas negativos:
- Apenas email ou chat, com tempos de resposta de dias a semanas
- Usuários relatam serem ignorados após relatar bugs
- Sem suporte por videochamada, mesmo nos planos mais caros
No Porter Metrics: os clientes recebem um canal dedicado no Slack com acesso direto aos fundadores e desenvolvedores. Bugs vão direto para a engenharia, não para uma fila de tickets.
3. Qualidade dos dados e confiabilidade dos conectores
Todos os conectores têm riscos de velocidade e estabilidade:
- APIs mudam sem aviso
- Tokens expiram
- Plataformas atualizam permissões
Os destinos também têm seus próprios riscos:
- O Looker Studio pode ficar lento
- O Google Sheets tem limites de linhas e timeouts de varredura de API
- Esses problemas se acumulam além das próprias limitações de API do conector
Muitos desses fatores estão fora do controle de qualquer ferramenta de conector, incluindo Supermetrics ou Porter.
O Supermetrics tem uma limitação crítica por causa de seus preços: armazenamento, destinos de data warehouse e transformações de dados para criar métricas e dimensões personalizadas estão disponíveis apenas no plano Enterprise.
- Conectores de CRM e e-commerce são inutilizáveis nos planos mais baixos: conectores como Shopify, HubSpot e Klaviyo têm APIs lentas que atingem limites de taxa assim que você executa algumas consultas. Você precisa executá-los em cima de um data warehouse e preencher retroativamente seus dados em uma ferramenta como Google BigQuery para fazê-los funcionar.
- Sem transformações de dados: qualquer limpeza de dados, métricas personalizadas ou combinação deve ser feita manualmente no destino (Looker Studio, Google Sheets). Menos confiável e mais difícil de automatizar do que transformações no nível do conector. Nos planos Starter, Growth ou Pro, não há outra opção.
Porter Metrics inclui combinação de dados, armazenamento e métricas e dimensões personalizadas em todos os planos, para que você possa limpar seus dados, calcular novas métricas e resolver esses problemas por conta própria.
Aqui estão exemplos específicos dessas limitações:
| Conector | O problema | Supermetrics | Porter Metrics |
|---|---|---|---|
 Shopify |
A API GraphQL do Shopify é limitada a 100 pontos/segundo nos planos padrão. Uma consulta como produtos ou clientes deste mês pode falhar ou levar mais de 1 minuto. A REST API (legada) é ainda mais lenta com 2 requisições/segundo e um bucket de 40 requisições. | O conector não consegue lidar com consultas lentas. Requer armazenamento externo (apenas Enterprise) para contornar limites da API. | Armazenamento integrado no BigQuery. Você pode rodar Shopify diretamente no Looker Studio sem atingir limites da API. |
 HubSpot |
A API do HubSpot é limitada a 100 requisições a cada 10 segundos nos planos Free/Starter (190 no Pro/Enterprise). A Search API é ainda mais restrita. CRMs com muitos contatos ou negócios atingem esses limites rapidamente e os dados não retornam. | Sem armazenamento (apenas Enterprise), os dados ficam incompletos para CRMs grandes. | Armazena e preenche automaticamente dados de negócios, contatos e empresas, para que você não atinja esses limites. |
 Klaviyo |
A API do Klaviyo usa um sistema de limite de taxa em camadas. Endpoints pesados são limitados a 1 requisição/segundo em burst e 15 requisições/minuto sustentado (camada XS). Mesmo endpoints mais leves têm cap de 75 requisições/segundo em burst. | Sem armazenamento (apenas Enterprise), os dados são limitados e lentos para contas com muitos perfis ou eventos. | Armazenamento incluído. Acesso completo aos dados sem atingir limites de taxa da API. |
 Meta Ads |
Existem múltiplas janelas de atribuição de conversão para a mesma campanha (7 dias clique, 28 dias clique, 1 dia visualização, 7 dias visualização, etc.). Você precisa de todas para comparar o desempenho com precisão. | Apenas uma janela de atribuição por conexão. Você precisa criar múltiplas conexões para ver diferentes janelas. | Única ferramenta que inclui todas as janelas de atribuição de conversão na mesma conexão. |
 Instagram Stories |
Os dados de Stories expiram após 24 horas na API. Se você não armazená-los imediatamente, eles se perdem para sempre. | Dados deletados após 24h, não recuperáveis. | Armazena dados de Stories desde o primeiro dia, nada se perde. |
Supermetrics versus alternativas: comparação rápida
Comparação de preços
Planos gratuitos para sempre
Several data connector platforms offer permanent free plans, not just trials. Here’s how they compare:
| Plataforma | Conectores | Contas | Usuários | Destinos | Limitação Principal |
|---|---|---|---|---|---|
 Porter Metrics |
Qualquer | 3 | Ilimitados | Todos | Histórico de dados de 30 dias |
 Windsor.ai |
Qualquer | 1 | 1 | Todos | 1 fonte · 5M MAR · 1 usuário |
 Dataslayer |
Qualquer | 1 | 1 | 1 | Atualização diária manual · 1 usuário |
 Databox |
Selecionados | — | 3 | 1 dashboard | Atualização diária · Histórico de 11 meses · Sem API/Zapier/planilhas |
 Coupler.io |
Qualquer | 1 | 1 | 1 | Sem atualização automática · 100 linhas/execução · 1 fluxo de dados ativo |
 Whatagraph |
Selecionados | 5 | Ilimitados | Apenas relatórios (sem BigQuery/Looker Studio) | Apenas integrações essenciais · Sem white-label · Sem emails automatizados |
* “Users” in ETL tools (Porter, Windsor, Dataslayer) means who connects sources; in reporting tools (Whatagraph, Databox, AgencyAnalytics) it includes report viewers. Whatagraph “source credits” = connected accounts.
Todos os planos e modelos de preço
Each tool charges differently. This table lists the entry, mid, and top plan as shown on each tool’s public pricing page. Prices are monthly (billed monthly) unless noted.
| Ferramenta | Modelo de preço | Inicial | Intermediário | Topo / Enterprise | Plano gratuito | Teste |
|---|---|---|---|---|---|---|
 Supermetrics |
Por destino + por fonte + por conta + por usuário | $37/mo Starter: 3 fontes, 1 dest, atualização semanal |
$199/mo Growth: 7 fontes, 1 dest, atualização diária |
$499/mo+ Pro/Enterprise: 10+ fontes, BigQuery, métricas personalizadas |
Não | 14 dias |
| Porter Metrics |
Por conta de fonte de dados. Todos os destinos, usuários e recursos incluídos | $15/mo 1 conta, todos os destinos, todos os recursos |
$40/mo 5 contas, todos os destinos |
Sob consulta BigQuery, fontes ilimitadas |
Sim | 14 dias |
 Funnel.io |
Por nível de conector. Contratos anuais | ~$200/mo Starter: 121 conectores |
~$800/mo Business: 579 conectores |
Sob consulta Enterprise: 590 conectores, suporte dedicado |
Não | 14 dias |
| Windsor.ai |
Por fontes de dados + contas + tarefas de destino | $23/mo Basic: 3 fontes, 75 contas, 5 tarefas de dest. |
$118/mo Standard: 7 fontes, 75 contas, tarefas ilimitadas |
$299/mo Plus: 10 fontes, 200 contas, tarefas ilimitadas |
Sim | 30 dias |
| Whatagraph |
Por créditos de fonte (1 crédito = 1 conta conectada). Integrações por nível de plano | ~$270/mo Start: 20 créditos, apenas integrações essenciais |
~$675/mo Boost: 50 créditos, integrações avançadas, white-label |
Sob consulta Max: 100+ créditos, integrações Premium |
Sim | Não |
| Databox |
Por fonte ($7/cada extra). 1 fonte = 1 conta/propriedade. Apenas plataforma própria | $199/mo Pro: 3 fontes (=3 contas), sync por hora, Genie AI, metas |
$499/mo Growth: + datasets, combinação de dados, detecção de anomalias, previsões |
$999/mo Premium: 50 fontes, sync de 15 min, OKRs, white-label, especialista |
Sim | 14 dias |
 AgencyAnalytics |
Por campanha de cliente. Apenas plataforma própria | $59/mo Freelancer: 5 clientes |
$179/mo Agency: 10 clientes |
$349/mo Agency Pro: 15 clientes |
Não | 14 dias |
| Dataslayer |
Por fonte + por conta + por destino (espelha o Supermetrics) | $39/mo Starter: 3 fontes, 3 contas, 1 dest, diário |
$139/mo Advanced: 7 fontes, 50 contas, por hora, IA + combinação |
$419/mo Pro: 10 fontes, 100 contas, por hora + personalizado |
Sim | 15 dias |
| Coupler.io |
Por conta ($5,99/cada extra). ETL baseado em workflows. Tabelas brutas, usuário cria joins/appends | $32/mo Starter: 3 contas, 1 dest, diário, 5K linhas/consulta |
$132/mo Active: 15 contas, 3 dests, diário, linhas ilimitadas, transformações |
$259/mo Pro: 50 contas, dests ilimitados, por hora, workspaces |
Sim | 7 dias |
 Power My Analytics |
Por conta (todas as fontes). Extra: $14,95/cada (Business), $4,95/cada (Pro) | $49.95/mo Business: 5 fontes, 5 contas, apenas Looker Studio |
$199.95/mo Pro: fontes ilimitadas, 10 contas, Looker + Sheets + Excel |
From $295/mo Enterprise: todos os destinos, 100+ contas, Sovereign DWH |
Apenas dados de amostra | 14 dias |
 Improvado |
Por volume de dados (linhas/ano). Apenas contratos anuais. Conectores/contas ilimitados | ~$3,400/mo* Growth: 200M linhas/ano, 2x diário, 1 MCDM, 2 dests |
~$5,000+/mo* Advanced: 600M linhas/ano, 4x diário, dests ilimitados |
Sob consulta Enterprise: 1B linhas/ano, sync personalizado, CSM dedicado |
Não | Apenas demo |
Preços de março de 2026. Cobrados mensalmente salvo indicação. Faturamento anual normalmente economiza 15-20%. *Preços do Improvado estimados a partir de uma proposta de 2024 feita a uma agência de marketing; preços reais variam por contrato. Databox e AgencyAnalytics só geram relatórios em suas próprias plataformas.
Preço vs. fontes de dados: ferramentas com preço por conta
Este gráfico compara ferramentas com preço por fonte. O Porter Metrics está excluído porque cobra por conta conectada, não por fonte de dados. Tamanho da bolha = contas incluídas.
Anual
Supermetrics
Windsor.ai
Dataslayer
Power My Analytics
Few
Medium
Many
Integrações: Conectores e destinos
| Ferramenta | Conectores | Destinos |
|---|---|---|
| Supermetrics |
150+ | 19 |
| Porter Metrics |
25+ | 4 |
| Funnel.io |
590 | 28 |
| Windsor.ai |
325+ | 15+ |
| Whatagraph |
62 | Plataforma própria + 5 |
| Databox |
130+ | Plataforma própria + 3 |
| AgencyAnalytics |
85+ | Plataforma própria + 3 |
| Dataslayer |
51 | 13 |
| Coupler.io |
400+ | ~20 |
| Power My Analytics |
75+ | 9 |
| Improvado |
500+ | 15+ |
Connector counts are based on each tool's official integrations page.
Destinos por ferramenta
Where each tool can send your data. Reporting tools (Whatagraph, Databox, AgencyAnalytics) have their own built-in dashboards, so destinations don't apply to them the same way.
| Ferramenta | Visualização de Dados | Planilhas | Data Warehouse / Banco de Dados | |||||
|---|---|---|---|---|---|---|---|---|
 Looker |
 Power BI |
 Tableau |
 Sheets |
.svg/960px-Microsoft_Office_Excel_(2019–2025).svg.png) Excel |
 BigQuery |
 Snowflake |
 Redshift |
|
| Supermetrics |
✓ | ✓ | — | ✓ | ✓ | ✓ | ✓ | ✓ |
| Porter Metrics |
✓ | ✓ | — | ✓ | — | ✓ | — | — |
| Funnel.io |
✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| Windsor.ai |
✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| Whatagraph |
✓ | — | — | ✓ | ✓ | ✓ | — | — |
| Databox |
— | — | — | ✓ | ✓ | — | — | — |
| AgencyAnalytics |
✓ | — | — | ✓ | ✓ | — | — | — |
| Dataslayer |
✓ | ✓ | — | ✓ | ✓ | ✓ | ✓ | ✓ |
| Coupler.io |
✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| Power My Analytics |
✓ | — | — | ✓ | ✓ | ✓ | ✓ | — |
| Improvado |
✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
Based on each tool's official documentation. Destination counts only include data visualization tools, spreadsheets, and data warehouses/databases (excluding AI tools, APIs, and MCP). Some destinations may require higher-tier plans.
Recursos a considerar
Além de conectores e destinos, esses são os recursos que diferenciam as ferramentas de dados de marketing. A maioria das ferramentas oferece alguma versão deles, mas a profundidade e disponibilidade variam.
Combinação de dados
Combining data from multiple sources into a single view. For example, merging Meta Ads spend with Shopify revenue to calculate ROAS, or combining Google Ads and LinkedIn Ads to see total ad spend by campaign. Without blending, you'd need to manually join data in spreadsheets or SQL.
Transformações de dados
Custom metrics, calculated fields, renamed dimensions, and formulas applied to your data before it reaches the destination. This lets you clean, fix, or enrich raw data without touching a spreadsheet. Examples: creating a "Cost per Lead" metric from spend ÷ conversions, or renaming campaign UTMs to readable names.
Built-in storage
Some APIs (like Shopify or HubSpot) return large datasets that need a data warehouse to work properly. Tools with built-in storage handle this for you. Tools without it require you to set up your own BigQuery or Snowflake instance, which usually means involving a data engineer.
Alertas e notificações
Mensagens automáticas quando algo muda: uma campanha gasta demais, o tráfego cai ou uma sincronização de dados falha. Podem ser enviadas por email, Slack ou dentro do app. Úteis para detectar problemas antes que apareçam em um relatório semanal.
Recursos de IA
Natural language queries ("show me top campaigns last week"), AI-generated summaries, anomaly detection, and forecast modeling. These are becoming standard across tools, though the depth varies. Some offer full AI analysts, others just a query builder.
API access
A programmatic way to pull or push data from the tool itself. With AI coding tools like Claude Code and Cursor, any marketer can now connect a tool's API to their own workflows and AI agents, no developer required. A well-documented API is becoming essential: it lets you automate reports, feed data into custom dashboards, or build AI-powered analysis pipelines that go far beyond the tool's built-in features.
Algumas ferramentas também oferecem MCP (Model Context Protocol) to connect AI assistants like ChatGPT or Claude directly to your data. However, its long-term value is uncertain: servidores MCP consume tokens just by being connected (each tool description loads into the AI's context), and a well-documented API already lets AI agents do the same thing more efficiently. If a tool has a solid API with good documentation, an AI agent can query it directly without needing an MCP layer.
As 10 melhores alternativas ao Supermetrics em 2026
Porter Metrics
Relatórios de Marketing Cross-Channel e Automação com IA
4.4 no G2 (124 avaliações)📊 25+ conectores de marketing
🕐 Teste gratuito de 14 dias + Plano gratuito para sempre
Porter Metrics is a no-code marketing reporting tool to measure marketing performance towards bottom-line, revenue and profit metrics across all your marketing channels, products, clients, and campaigns. No scripts or additional tools required. It connects your ad platforms (Meta Ads, Google Ads, TikTok Ads, LinkedIn Ads, Microsoft Ads), social media, SEO tools, CRMs (HubSpot, Klaviyo, ActiveCampaign), and e-commerce (Shopify, Amazon) to destinations like Looker Studio and Google Sheets, at a fraction of what Supermetrics charges.
Diferente do Supermetrics e da maioria dos concorrentes que cobram por destino, o Porter Metrics inclui all destinos em todos os planos: Looker Studio, Google Sheets, Power BI, BigQuery, Slack e Zapier. Todos os planos incluem usuários ilimitados, sem taxas adicionais de uso, e +100 templates de Looker Studio instaláveis em um clique.
- Todos os destinos incluídos em todos os planos (Looker Studio, Sheets, Power BI, BigQuery, Slack, Zapier)
- Automatic data blending across sources: dates, campaign names, UTM parameters, spend, impressions, clicks, conversions, and revenue are unified automatically. No table creation, no field mapping, no SQL. Used by +1,500 marketing teams in 60 countries
- Best HubSpot and Shopify ETL on this list: APIs from CRMs and e-commerce platforms have strict rate limits that break live conectores. Porter automatically manages backfills and stores data in a built-in BigQuery warehouse, so reports are fast and reliable from the start. Every other ETL tool on this list requires manual BigQuery setup; Funnel and Power My Analytics offer managed storage only on enterprise plans. Porter includes it on every plan
- AI Workflow Builder para alertas, notificações, chat com dados e automação de tarefas (pausar campanhas, atualizar produtos, ajustar orçamentos) diretamente nas plataformas conectadas via Slack and Zapier. All triggers configurable in natural language, no code required
- Métricas e dimensões personalizadas usando linguagem natural (com IA), escritas diretamente na sua tabela do BigQuery
- Maior galeria de templates de Looker Studio do mercado, com templates multi-fonte combináveis instaláveis em um clique
- Fewest conectores on this list (~25 vs. 150+ on Supermetrics, 325+ on Windsor, 590 on Funnel). If you need data from a platform Porter doesn't cover, you'd have to use Google Sheets as a workaround or connect via BigQuery
- Fewer destinations than most competitors. Porter supports Looker Studio, Google Sheets, Power BI, and BigQuery. No Tableau, no Snowflake, no Redshift, no Amazon S3, no FTP. If your team uses Tableau or Snowflake, Porter is not an option
- Built exclusively for marketers (social media, PPC, e-commerce, CRM). Not a general-purpose data pipeline. If you need non-marketing integrations (databases, project management tools, finance platforms), tools like Windsor or Coupler.io cover far more ground
- No SQL editor. Everything is managed through natural language, visual interface, and AI. Developers or data analysts who prefer writing SQL queries directly will find Porter limiting compared to tools like Funnel, Windsor, or Dataslayer that expose raw data and SQL access
- Not SOC2 Type 2 certified yet. Porter offers NDAs and client-owned BigQuery as alternativas, but for organizations that require SOC2 compliance as a hard requirement, Windsor (SOC2 + HIPAA) or Funnel (SOC2 + GDPR) are better options
Preços do Porter Metrics (fonte: portermetrics.com/pricing, verificado em março de 2026)
Pague por conta de fonte de dados. Todos os destinos incluídos. O preço por conta diminui conforme você adiciona mais.
📖 Leia mais: Porter Metrics análise completa · Porter Metrics alternativas · Explore 100+ templates de Looker Studio · Tutoriais no YouTube
Funnel.io
ETL de Marketing Empresarial
4.5 no G2 (74 avaliações)📊 590 conectores (121 on Starter plan)
🕐 Public pricing, but demo required to start
O Funnel.io é o outro líder de mercado junto com o Supermetrics em infraestrutura de dados de marketing. Com $131M+ em financiamento (Balderton Capital, Eight Roads Ventures, Stena Sessan), ~$70M in estimated annual revenue, and ~400 employees, Funnel is the most well-funded tool on this list. It uses a arquitetura data warehouse-first: all your marketing data flows through Funnel's managed warehouse before reaching destinations like Looker Studio, Google Sheets, or your own BigQuery/Snowflake instance.
- 590 conectores across 3 tiers (Starter: 121, Business: 579, Enterprise: 590), the widest marketing-specific coverage after Improvado. Part of why Funnel has so many: high-value annual contracts fund custom conector builds for enterprise clients, which then become available to all users
- Data warehouse-first architecture: all data is stored in Funnel's managed warehouse before reaching destinations, so Looker Studio and Sheets reports load significantly faster than direct API conectores
- Visual transformation layer: map fields across sources, create table joins, build custom metrics, and normalize data (e.g., currency conversions) through a no-code interface
- Conformidade GDPR e certificação SOC2, que atende requisitos de segurança enterprise
- Managed data warehouse included, so there's no need to set up your own BigQuery or Snowflake
- Alternativa mais cara: começa em ~$200/mês, requer agendamento de demo e provavelmente apenas contratos anuais sem cadastro self-service
- Complex even for technical marketers: setting up a connection requires mapping fields to tables, configuring joins between sources, and understanding data union logic. It's not plug-and-play
- Data warehouse-first means no real-time data: there's always a delay before data is available, unlike live conectores from Porter Metrics or Supermetrics that can query APIs directly
- $131M+ em financiamento de VC cria pressão para crescer receita agressivamente. Clientes relatam aumentos de preço na renovação e pressão por compromissos anuais
- Focado em enterprise: preços, onboarding e complexidade do produto são projetados para equipes grandes com analistas de dados, não para PMEs ou agências pequenas
Funnel.io Pricing (source: funnel.io/pricing, verificado em março de 2026)
Funnel shows public starting prices but requires a demo to sign up. No self-service. Previously used a Flexpoints (usage-based) model, now uses fixed tier pricing. Annual contracts likely required.
📖 Leia mais: Funnel.io análise completa · Funnel.io alternativas
Windsor.ai
ETL No-Code Acessível
Windsor.ai is a no-code ETL tool for marketing data. Think of it as a simplified, much cheaper version of Fivetran focused on marketing. Founded in 2017 in Zurich, Switzerland, it was acquired by team.blue in January 2026 (a European digital services group valued at ~€5B that also owns Metricool). With ~30 employees and 5,000+ customers across 120 countries, Windsor has built 325+ conectores and 15+ destinations at a fraction of the cost of enterprise alternativas.
- Ultra-competitive pricing: 75 contas across 3 data sources for $23/mo, one of the cheapest options for high account volumes
- 325+ conectores and 15+ destinations including native Power BI and Tableau integrations (rare among marketing data tools). Also native MCP integrations for AI chat tools
- External authentication for agencies: share a link with clients so they connect their own data sources without giving you login credentials
- Free forever plan (1 data source, 1 conta, 5M rows) plus a 30-day trial with broader access
- Bootstrapped, now part of team.blue with no VC pressure to raise prices aggressively
- All conectores available on all plans (no premium conectores locked behind higher tiers)
- SOC2 and HIPAA compliant, which is uncommon at this price point. As a European company (now under team.blue), Windsor meets strict EU data regulations by default
- Data quality and stability concerns: users with heavy BigQuery usage report that conectores can break or return inconsistent data. It's cheap, but less reliable than Funnel or Fivetran
- Raw data output: data from platforms is not well-transformed, so users need SQL knowledge or technical skills to clean and transform data in their destino
- Basic, flat, technical interface: users must choose schemas, select fields, and map them to destinations manually. It's not designed for marketers expecting plug-and-play like Looker Studio
- Destination Tasks are a hidden limitation: each table synced to a destination = 1 task. The Basic plan ($23/mo) only allows 5 destination tasks, which limits how many tables you can create
- Limited data backfill to BigQuery: scheduling only lets you pull 60 days or 6 months of historical data, unlike Porter Metrics where you can choose any date range
- Shopify conector is free because without a data warehouse layer it's barely functional. Shopify's API is too slow for live queries
Windsor.ai Pricing (source: windsor.ai/pricing, verificado em março de 2026)
Pricing is per data source and accounts. All conectores and destinations available on all plans. Monthly prices shown; annual billing saves ~15–20%.
Also available: Professional plan at $599/mo (14 sources, 500 accounts, 15-min refresh, no sync limitations). 30-day trial gives broader access before dropping to free tier limits.
📖 Leia mais: Windsor.ai análise completa · Windsor.ai alternativas
Improvado
ETL de Marketing Empresarial
Improvado is an enterprise marketing ETL platform with professional services built in. Founded in 2015 in San Diego, CA, it has ~100 employees and ~$34M in funding from Bessemer Venture Partners, Nexus Venture Partners, and 500 Startups. Its customers include Activision, ASUS, Chewy, Mattel, L'Oreal, Yamaha, and Monster Energy.
The platform stores data internally in a ClickHouse data warehouse before loading it to customer destinations.
Unlike self-service tools on this list, Improvado operates as a technology + professional services package. Every plan includes a dedicated Customer Success Manager, onboarding, training, implementation, monthly calls, quarterly business reviews, and professional services credits (5 credits = 1 hour of expert time). Credits can be spent on custom conector development (50-100 credits), dashboard builds (150-500 credits), or managed services (20-800 credits/month).
Pricing context: Improvado does not publish prices. All plans are annual contracts, book-a-demo only. Based on a 2024 proposal made to a client, the list price for the Growth plan was $80,000/year ($6,667/month), with multi-year discounts bringing it to ~$34,000-$41,000/year (~$2,850-$3,400/month). All plans include unlimited conectores, unlimited accounts, and unlimited report types. This makes Improvado the most expensive tool on this list by far, but it bundles professional services that the others charge separately for or don't offer at all.
- 500+ conectores with 40,000+ metrics and dimensions. No limits on accounts, historical data, or data granularity per source. The deepest extraction coverage on this list
- MCDM recipes automate cross-platform data normalization: "Cost" in Google Ads and "Spend" in Meta Ads become the same field automatically. Available recipes: Paid Social, Paid Search, Organic Social, SEO, eCommerce, Paid Ads + GA4 (joined via UTMs), Programmatic, Email Marketing, and Mobile Analytics. Number included depends on plan (1 on Growth, 2 on Advanced, 4 on Enterprise)
- Cerebro governance engine: 250+ pre-built rules for naming conventions (auto-detects patterns, flags violations, suggests AI fixes, syncs corrections back to ad platforms after approval), budget pacing, campaign QA before launch, and KPI benchmarking with anomaly detection. The only tool on this list with a dedicated compliance layer
- Four transformation toolkits: ANSI-SQL via dbt + GitHub, natural language processing, MCDM pre-built recipes, and professional services. Teams can use all four simultaneously
- AI Agent: natural language chat for marketing data questions, chart/dashboard generation, scheduled reports, and anomaly detection. Choose between OpenAI, Anthropic Claude, or Google Gemini. Only metadata is shared with the LLM; actual data stays within Improvado's secure perimeter
- Insights & Action Pulse: AI-generated weekly performance summaries with predictive recommendations on spend allocation. 8 insight templates per plan
- Professional services included in every plan: dedicated CSM, onboarding, training, implementation, monthly calls, quarterly business reviews, and credits for custom work (5 credits = 1 hour)
- Custom conector development with contractual SLA: new API conectores built within 4 weeks (50-100 credits per conector)
- Workspaces: physical data segregation for departments, brands, regions, or clients, with cross-workspace transformations for org-level reporting
- 4.5/5 on G2 with 370+ reviews. Quality of support score: 9.4/10 (top 5% on G2)
- SOC 2 Type II, HIPAA, GDPR, CCPA compliant. Geo-restricted data processing (US or EU). SSO/SAML. 6 user roles with full audit trail
- Enterprise customers: Activision, ASUS, Chewy, Mattel, L'Oreal, Yamaha, Monster Energy
- Multiple data warehouse destinations in parallel: BigQuery (managed or self-hosted), Snowflake, Redshift, S3, Databricks, PostgreSQL, MySQL, Azure SQL, ClickHouse, SAP HANA, Google Cloud Storage, SFTP
- Most expensive tool on this list by far. Based on a 2024 proposal made to a marketing agency, the list price for the Growth plan was $80,000/year. Negotiated multi-year contracts bring it to ~$34,000-$41,000/year (~$2,850-$3,400/month). Even at discounted rates, this is 10-20x the cost of tools like Porter Metrics, Dataslayer, or Windsor
- Annual contracts only, book-a-demo only. No self-service, no monthly billing, no free trial, no free plan. You cannot evaluate the product without going through a sales process
- Implementation takes approximately 2 months. This is not a tool you set up in an afternoon. Onboarding, data modeling, transformation setup, and dashboard configuration require dedicated time from both your team and Improvado's
- Native dashboards are basic and not client-ready according to independent reviews. For polished reports, you need to push data to Looker Studio, Tableau, or Power BI. The internal visualization layer is better suited for quick internal views
- Credits are consumed quickly: a custom conector costs 50-100 credits, a dashboard build costs 150-500 credits, and managed services cost 20-800 credits/month. The Growth plan includes only 240 credits/year (equivalent to 48 hours of professional services)
- AI Agent can automate campaign actions (pause ads, adjust budgets) on ad platforms and write back to Salesforce via MCP. Some of these write-back features are new and still being rolled out, so availability may vary by platform
- BI tools (Looker Studio, Tableau, Power BI) connect through the data warehouse, not directly from Improvado. This adds latency compared to live conectores like Porter Metrics or Supermetrics that push data directly to Looker Studio
- Overkill for small and mid-size teams. If you manage fewer than 50 ad accounts or spend less than $100,000/month on ads, the complexity and cost of Improvado are unlikely to be justified
Improvado Pricing (source: improvado.io/pricing + 2024 proposal made to a marketing agency, verificado em março de 2026)
No public prices. Annual contracts only, book-a-demo required. All plans include unlimited conectores, accounts, and report types. Pricing is volume-based (by rows/year), not by number of data sources. Professional services credits included (5 credits = 1 hour). Below are the three tiers with price context from a 2024 proposal made to a marketing agency.
*Estimated from a 2024 proposal made to a marketing agency (list price $80,000/year for Growth). Multi-year contracts negotiate 49-64% discounts. Actual prices vary by data volume, features, and contract length. Credit usage: custom conectores (50-100), dashboard builds (150-500), managed services (20-800/mo).
Whatagraph
Plataforma de Relatórios com IA
Whatagraph is a marketing reporting platform with its own built-in dashboards, data blending, and a strong AI layer. Founded in 2015 by three brothers in Lithuania (now headquartered in Amsterdam), it has ~63 employees, ~$9.8M in funding (Inventure, Open Circle Capital), and ~2,500 customers. Whatagraph recently relaunched with a much more modern, AI-first interface, a significant upgrade from previous versions.
While Whatagraph can send data to Looker Studio and BigQuery, its focus is its own reporting platform. It competes with AgencyAnalytics for agency client reporting, but adds data blending and transformation features that make it closer to a hybrid between a reporting tool and a lightweight ETL.
- AI-first reporting with Whatagraph IQ: create complete multi-tab reports from a text prompt, auto-updating performance summaries, build widgets conversationally, and auto-generate branded themes from a logo upload. On Boost+, IQ+ adds self-healing widgets, custom AI dimensions, and personalized summaries with brand voice
- Beautiful, modern interface, recently relaunched with a significantly improved UX
- Data blending and transformation: "source groups" to blend data across integrations and sync to BigQuery. Visual interface for custom metrics and field mapping, more accessible than writing SQL
- Generous free plan: 5 source credits, unlimited users and reports with Essential integrations
- 62 in-house managed integrations, fewer than ETL tools but maintained by their own team for better reliability
- Key integrations locked behind higher tiers: HubSpot, Shopify, Salesforce, ActiveCampaign, BigQuery, Ahrefs, and Amazon Advertising are Advanced (Boost, €624/mo) or Premium (Max, custom) only, while tools like Porter Metrics include all integrations on every plan
- Data blending requires manual field mapping: you need to understand join logic, map fields across sources, and create table connections. It's not automatic, but accessible, though still technical
- Alerts are time-based only (notifications), not event-based: you can schedule weekly or daily reports, but you can't trigger alerts when a specific event occurs (e.g., "notify me when ad spend exceeds $500"). Porter Metrics' Workflow Builder supports real event-based triggers
- Grid-based dashboard limits layout flexibility compared to Looker Studio's freeform canvas, so you're constrained to a grid structure for widget placement
- Pricing is high for what you get: Start plan at €249/mo (~$270) for 20 source credits with only Essential integrations. Monthly billing is significantly more expensive than annual
- Tried to move upmarket to compete with Funnel.io for enterprise, but hasn't matched the depth of dedicated ETL tools. It's best suited for mid-size agencies, not enterprise data teams
Whatagraph Pricing (source: whatagraph.com/pricing, verificado em março de 2026)
Whatagraph charges by source credits (1 credit = 1 connected platform account). Integrations are tiered: Essential (all plans), Advanced (Boost+), and Premium (Max only). Key Advanced/Premium integrations include HubSpot, Shopify, Salesforce, ActiveCampaign, BigQuery, Ahrefs, and Amazon Advertising.
Annual billing saves ~20–35%: Start €199/mo, Boost €399/mo. Whatagraph's pricing page defaults to annual pricing.
📖 Leia mais: Whatagraph análise completa · Whatagraph alternativas
AgencyAnalytics
Relatórios para Clientes de Agências
AgencyAnalytics is a reporting platform (not an ETL tool or data conector) built specifically for marketing agencies. Founded in 2010 in Toronto, Canada, it's a bootstrapped, 100% employee-owned company with ~145 employees and an estimated ~$15.7M in annual revenue. It has its own built-in dashboard and reporting interface where agencies create, customize, and share reports with clients.
We've seen clients leave Porter Metrics and Looker Studio for AgencyAnalytics because it's significantly easier and more intuitive. These tend to be agencies that need simple, visual client reports and presentations, not teams that need custom metrics, deep data granularity, or cross-source transformations. For simple client reporting, AgencyAnalytics is genuinely one of the best options available.
- Easiest, most intuitive reporting interface for agencies: pre-built templates, drag-and-drop widgets, and Smart Reports that auto-generate in ~11 seconds. We've seen clients switch from Looker Studio specifically because AgencyAnalytics is simpler to set up and use
- Client portal with integrated messaging: clients log into a branded dashboard, view live dashboards, select date ranges, and chat directly with the agency. Integrates with Intercom, Zendesk, HubSpot, and HelpScout, keeping communication centralized around the data
- Built-in goal/budget tracking, alerts, and industry benchmarks (150,000+ campaigns). Everything organized by client project with lightweight task management
- Built-in SEO tools: rank tracking, site auditing, and backlink monitoring directly in the platform. Most competitors require separate SEO tools (SEMrush, Ahrefs). Available as add-on (~$42/mo per 500 keywords)
- Pricing per client, not per account: 1 client with 5 connected accounts (Meta, Google Ads, GA4, Search Console, Instagram) = 1 client on your plan
- 100% employee-owned, bootstrapped, with aligned incentives with customers, no VC-driven price hikes
- Limited data granularity: tables only allow breakdown by one dimension at a time (e.g., by campaign OR by ad set, but not both together), which is a significant limitation for detailed performance analysis that conectores like Porter Metrics handle natively
- Integration quality can be fragile: in conversations with people who have worked at the company, we've heard that some conectores can be slow, return incomplete data, or break. The user experience is polished, but the underlying data layer has known limitations
- No data transformation capabilities: no custom dimensions, no regex to clean URLs, no formula-based fields. What the API returns is what you get. For anything beyond that, you need a separate tool
- Not a data conector: your data lives inside AgencyAnalytics' platform only. You can't send it to Looker Studio, BigQuery, or your own data warehouse (database conectores for MySQL/BigQuery exist as paid add-ons, but it's not the core product)
- Costs scale at $20/month per additional client beyond your plan's included clients. An agency with 30 clients on the Agency plan (10 included) would pay $179 + (20 × $20) = $579/mo
AgencyAnalytics Pricing (source: agencyanalytics.com/pricing, verificado em março de 2026)
Pricing is per client (1 client = 1 business you manage, regardless of how many accounts are connected). Annual billing saves ~20%.
Add-ons: Rank Tracker (~$42/mo per 500 keywords), Database Connectors (MySQL, BigQuery) at custom pricing.
📖 Leia mais: AgencyAnalytics análise completa · AgencyAnalytics alternativas
Dataslayer
Alternativa Econômica ao Supermetrics
Dataslayer is the most direct Supermetrics clone on this list. Founded in 2020 in Madrid, Spain, it's a bootstrapped company with ~18 employees and an estimated ~$2M in annual revenue. Its pricing structure, plan tiers (3/7/10 data sources), per-destination model, and add-on system are nearly identical to Supermetrics, but at a lower price point. Where Supermetrics' Starter costs $37/mo, Dataslayer's starts at $39/mo with more accounts included. It scores an impressive 4.8/5 no G2 (295 reviews, 88% five-star), making it the highest-rated tool on this list.
- Highest G2 rating on this list: 4.8/5 with 295 reviews (88% five-star). Users consistently praise ease of use and support
- Cheaper than Supermetrics at every tier while mirroring the same pricing structure (per source + per account + per destination), making it the easiest direct swap for teams already on Supermetrics
- API Query Manager: create custom API queries and route data to Power BI, Tableau, or any API-compatible platform, giving broader destination coverage than the standard conector list
- Live chat support with fast response times, a recurring positive theme in G2 reviews
- Marketing Mix Modeling (Morpheus): AI-powered product built on PyMC (Bayesian modeling) that measures channel contribution to sales and runs budget simulations. Only relevant for large advertisers ($100K+/mo ad spend), available as a custom-priced add-on
- Product strategy is based on copying Supermetrics: same pricing structure, same tiers, same add-on model, with limited original differentiation beyond being cheaper
- No built-in storage: relies entirely on direct API calls, which means conectores like Shopify or HubSpot can be slow or break for large datasets. No data warehouse layer to buffer this
- Data blending and AI features only available from the Advanced plan ($139/mo), while Porter Metrics includes data blending on all plans
- Enterprise destinations (BigQuery, Snowflake, Redshift) have strict row limits: 5K rows/mo on Starter, 100K on Advanced, 2M on Pro, while core destinations (Sheets, Looker Studio) get unlimited rows
- Data blending requires manual field mapping: users must map metrics and dimensions across sources themselves, unlike Porter Metrics where fields are pre-combined automatically
- Only 1 core destination per plan (like Supermetrics), so additional destinations require add-ons. Porter Metrics includes todos os destinos on every plan
Dataslayer Pricing (source: dataslayer.ai/new-pricing, verificado em março de 2026)
Pricing mirrors Supermetrics' structure: per data source, per account, per destination, with add-ons. Only 1 core destination (Sheets, Looker Studio, Excel, or Power BI) per plan. Enterprise destinations (BigQuery, Snowflake, Redshift) have row limits. Bundle discounts: 10% for 2 destinations, 15% for 3+. Annual billing saves ~20%.
Free plan available (1 conector, 1 conta, 1 destination, manual refresh). Marketing Mix Modeling (Morpheus) available as a separate custom-priced product for large advertisers ($100K+/mo ad spend).
📖 Leia mais: Dataslayer análise completa · Dataslayer alternativas
Coupler.io
Automação de Dados de Uso Geral
Coupler.io is a general-purpose workflow-based ETL tool (not marketing-specific) built by Railsware, a bootstrapped product studio from Poland/Ukraine (~200 employees, ~$17M in total revenue). Launched in 2019 as "Airtable Importer" for Google Sheets, it evolved into a full data integration platform with 400+ sources and ~20 destinations. Unlike Supermetrics or Porter Metrics which focus on marketing data, Coupler covers project management (ClickUp, Airtable, Asana), customer service (ServiceNow, Typeform), time tracking, and finance (QuickBooks, Xero, Stripe) alongside marketing platforms. SOC 2 certified and GDPR compliant.
Coupler works differently from marketing conectores like Porter Metrics or Supermetrics. Instead of drag-and-drop fields in a dashboard, the user builds data flows as workflows: connect a source, get a raw table, then manually filter, join (combine tables side by side), or append (stack tables on top of each other) to create the output you need. Each integration delivers independent tables per endpoint. This means the user has to understand data modeling concepts (join types, append logic, field mapping) to combine data across sources. In tools like Porter Metrics, this is already solved automatically: dates, campaigns, UTMs, and metrics across all sources are pre-combined without any configuration.
- Broadest destination coverage: Looker Studio, Power BI, Tableau, BigQuery, Snowflake, Redshift, PostgreSQL, Monday.com, ClickUp, Google Sheets, Excel, CSV, and API
- 400+ integrations covering marketing, CRM, project management, databases, and finance. Goes far beyond marketing-only tools
- Monday.com and ClickUp as data destinations: unique among alternativas on this list (only Supermetrics also offers Monday.com)
- SOC 2 certified and GDPR compliant at a bootstrapped price point
- Free plan available (1 conta, 1 destination, 100 rows, manual refresh)
- API destination allows connecting data to AI tools (ChatGPT, Claude) and any API-compatible platform
- User must model data from scratch: each integration delivers raw, independent tables. The user has to manually filter, join, and append tables to combine data across sources. This requires understanding data modeling concepts that marketing conectores like Porter Metrics handle automatically
- No pre-built relationships between data: for example, combining HubSpot contacts with deals and companies requires manual joins. In Porter Metrics, these relationships are already built into the conector
- Row limits on lower plans: Starter ($32/mo) is capped at 5,000 rows per query. This is a limitation that most ETL competitors (Porter, Windsor, Dataslayer) do not have on their entry plans
- Data transformations (joins, appends, filters) are NOT available on the Starter plan ($32/mo). You can only get raw tables without any combining or filtering. Transformations start at Active ($132/mo)
- Automations (webhooks to trigger data flows from external events) are only available on the Pro plan ($259/mo)
- Not marketing-specific: no report templates, no automatic campaign/UTM matching, no pre-combined cross-channel metrics. You get raw data and build everything yourself
- No white-label or agency-specific features
- Data is not live: tables refresh on a schedule (daily on Starter/Active, hourly on Pro). Not real-time conectores that update on demand
Coupler.io Pricing (source: coupler.io/pricing, verificado em março de 2026)
Pricing is per connected account (same definition as Porter Metrics: 1 conta = 1 property/connection). Extra accounts cost $5.99/mo. Annual billing saves ~25%.
Free plan available (1 conta, 1 destination, 100 rows/query, manual refresh only). Additional accounts: $5.99/mo each.
Power My Analytics
PPC e E-commerce focado nos EUA
Power My Analytics is a no-code marketing data conector founded in 2011 in Maitland, Florida. It's a bootstrapped company with ~15 employees, one of the oldest tools on this list. Originally built as an internal tool by a web analytics consulting agency, it grew into a standalone product. It holds ISO 27001 (2023) and SOC 2 (2024) certifications. PMA was a strong Supermetrics competitor 4–5 years ago, but tools like Porter Metrics, Dataslayer, and Windsor.ai have since surpassed it in pricing, data transformation, and feature depth. PMA remains strongest for US-based PPC and e-commerce teams that need reliable conectores to Looker Studio, Sheets, and Excel.
- 75+ conectores with strong coverage for US-focused PPC and e-commerce platforms
- Developer-friendly destinations: Amazon S3, FTP, Snowflake, SQL databases (Azure SQL, MySQL, PostgreSQL), and BigQuery, which is broader than most marketing conectores
- Sovereign Data Warehouse (Enterprise only): a dedicated, isolated data warehouse where the client owns the data. Important for compliance-sensitive organizations
- ISO 27001 + SOC 2 certified, providing enterprise-grade compliance for a bootstrapped tool
- Automatic backfill of historical data upon connection, no manual setup needed
- Pro plan offers volume discounts: extra accounts cost $4.95 each (vs. $14.95 on Business plan)
- No Google Sheets as a data source: if a conector you need isn't available, you can't use a spreadsheet to fill the gap. Porter Metrics, for example, supports Google Sheets as a source so users can blend custom data with conector data
- Data Builder is limited in practice: GA4 shows ~20 metrics (vs. 100+ in the API), no auto-combined fields for campaigns/dates across sources, and rigid date ranges (28 days, 30 days, this week, with no custom ranges)
- Business plan ($49.95/mo) only gives access to Looker Studio. Sheets and Excel require the Pro plan at $199.95/mo
- 5 contas total on Business plan (not 5 per source), and extra accounts cost $14.95 each, so 15 contas would cost ~$200/mo
- Free plan is sample data only (demo dashboards for students), not usable for real business data
- API access is locked to the Custom/Enterprise plan (contact sales), so most users on Business or Pro won't have it
- Hourly data refreshes are also Custom-only. Business and Pro plans don't specify refresh frequency, and since PMA uses a pre-data warehouse layer, refresh delays are likely but undisclosed
Power My Analytics Pricing (source: powermyanalytics.com/pricing, verificado em março de 2026)
Pricing is per account across all sources (not per source). Business plan limited to Looker Studio only. Pro unlocks Sheets + Excel. Enterprise/Custom for BigQuery, SQL, S3, Snowflake, FTP. Annual billing saves ~16%. Extra accounts: $14.95/each on Business, $4.95/each on Pro.
Free plan available but uses sample data only (not real client data). Max accounts: Business 15 (~$200/mo), Pro 100 (~$645/mo). 50–100 AI Insights credits depending on plan.
📖 Leia mais: Power My Analytics análise completa · Power My Analytics alternativas
Databox
Dashboards e Acompanhamento de Metas para PMEs
Databox is a reporting and analytics platform with its own built-in dashboards, founded in 2012 in Boston, MA. It has ~160 employees, ~$5.3M in funding (Entree Capital, Founder Collective, Techstars), and ~1,600 customers. Unlike ETL tools that send data to external destinations, Databox wants to be the single source of truth for your business data: everything comes into Databox, and you build, analyze, and share reports inside their platform. It is the only tool on this list with separate plan tiers for businesses and agencies.
Pricing note: In Databox, 1 data source = 1 connection to 1 property (e.g., one GA4 property). In ETL tools, "data source" means the platform itself. So Databox's "3 data sources" = "3 contas" in ETL terminology.
- Databases and spreadsheets as input sources: BigQuery, MySQL, PostgreSQL, Google Sheets, and Excel can all be used as data sources (not just destinations). If you have external data not covered by native conectores, you can still bring it in and combine it with marketing data
- Goal tracking and OKRs linked to live data from 130+ integrations. Automatic progress updates, risk notifications, and strategy map views. The only tool on this list with native OKR tracking. OKRs available on Premium ($999/mo) or as add-on ($200/mo)
- Forecast modeling and anomaly detection: unique among the tools on this list (available from the Growth plan)
- AI analyst (Genie): create dashboards from prompts, ask questions in natural language, get performance explanations and recommendations. Available on all paid plans (currently in early access), including API access on the free plan
- Datasets (data transformation layer): create custom tables with raw data, apply filters, calculate new columns, and drill down into raw data behind any metric. Available from the Growth plan ($499/mo)
- Client overview for agencies: a dashboard that groups accounts by client for global monitoring
- Free plan includes API access, which is unusual. 3 users, 3 data sources, 1 dashboard, 10 custom metrics, daily sync
- Hourly data refresh on all paid plans. Data stored in Databox's internal warehouse, so dashboards load fast
- Strong HubSpot and Shopify integrations, deeper than many of their other conectores
- Separate pricing tiers for businesses and agencies: the only tool on this list with dedicated agency plans optimized for volume
- Mobile app for dashboard access on the go
- "Data source" means something different here: 1 data source in Databox = 1 connection to 1 property (like one GA4 property). In ETL tools, "data source" means the platform itself. So Databox's "3 data sources included" is equivalent to "3 contas" in ETL pricing. Extra sources cost $7/mo each regardless of plan
- Connector depth is limited compared to ETL tools: fewer fields, fewer breakdown dimensions. For example, ad creative breakdowns were added much later than competitors like Porter Metrics or Supermetrics
- Data transformation (Datasets, blending, filters, calculated columns) is only available from the Growth plan at $499/mo. The Pro plan at $199/mo allows custom metrics but not data blending or transformation
- Data lives inside Databox only. No native export to Looker Studio, Power BI, or external data warehouses. If you leave Databox, your historical data stays behind
- Many differentiating features are locked behind expensive tiers or add-ons: OKRs ($200/mo add-on or Premium at $999/mo), white-label ($250/mo add-on or Premium), advanced security and activity logs ($100/mo add-on or Premium), 15-minute refresh ($18/mo add-on or Premium), fiscal calendar ($50/mo add-on or Premium)
- ETL tools offer live data directly from APIs, while Databox always goes through its internal warehouse. The fastest refresh is 15 minutes (Premium only), while ETL conectores like Porter Metrics or Supermetrics can show real-time data
- Benchmarks feature (anonymous performance comparisons) is being deprecated on April 6, 2026, removing what was once a unique differentiator
Databox Pricing for Businesses (source: databox.com/pricing, verificado em março de 2026)
Pro and Growth plans start with 3 data sources; Premium includes 50 (remember: 1 data source = 1 conta/property, not 1 platform). Extra sources cost $7/mo each. Separate agency plans available with lower per-source pricing ($2.40/mo each). Prices shown are monthly billing. Annual billing saves ~20%.
Add-ons available on Pro/Growth: white-label ($250/mo), OKRs ($200/mo), dedicated specialist ($200/mo), advanced security ($100/mo), fiscal calendar ($50/mo), 15-min refresh ($18/mo).
Agency plans are priced separately and reward volume: extra data sources cost $2.40/mo each (vs $7/mo on business plans). Agency Starter includes 5 client accounts with client performance overview, scheduling, and Google Sheets from the first plan. Agency Pro adds unlimited client accounts and branding removal (white-label remains a paid add-on). This makes Databox significantly more competitive for agencies managing many accounts than the business pricing suggests.
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Perguntas frequentes
Porter Metrics (plano gratuito, 3 contas, todos os recursos, histórico de 30 dias), Windsor.ai (gratuito, 1 fonte), Dataslayer (gratuito, 1 conta, atualização manual), Coupler.io (gratuito, 100 linhas/execução), Whatagraph (gratuito, 5 créditos de fonte), and Databox (gratuito, 3 fontes). Adveronix oferece um add-on gratuito para Google Sheets com conectores para Facebook Ads, Instagram Insights e Facebook Pages. O Supermetrics não tem plano gratuito.
For Looker Studio, keep the same report template and replace data source connections with the new tool's connectors. Field names may differ, so remap some fields. For Google Sheets queries, rebuild the formulas in the new tool's syntax. For data warehouse pipelines, table structures vary by tool, so queries need adapting. At Porter Metrics, we handle migration end-to-end: our team migrates your dashboards, remaps fields, and validates data at no extra cost.
Porter Metrics (conectores nativos de Looker Studio, 100+ templates pré-construídos, combinação de dados), Dataslayer (modelo de conector similar, planos acessíveis), Power My Analytics (forte para PPC nos EUA e dados GBP), and Windsor.ai (atribuição multi-touch integrada). As quatro oferecem integração direta com Looker Studio sem precisar de data warehouse.
Porter Metrics, Dataslayer, and Windsor.ai suportam Google Sheets como destino. Coupler.io é especializado em ETL para Sheets com agendamento e transformações. Coefficient (plano gratuito, 100+ integrações incluindo Salesforce e HubSpot, sincronização bidirecional que envia dados de volta às plataformas) and Awesome Table (35+ conectores, a partir de $16/mês, também cria web apps interativos a partir de dados do Sheets) são add-ons do Google Sheets para puxar dados em tempo real de CRMs, bancos de dados e ferramentas de marketing para planilhas. Ambos atendem equipes de marketing, finanças e operações.
Para BigQuery: Porter Metrics (armazenamento gerenciado no BigQuery integrado em todos os planos), Dataslayer e Windsor.ai. Para Snowflake e Redshift: Funnel.io, Improvado e Windsor.ai. Para ETL de uso geral: Fivetran (700+ conectores, preço baseado em uso por Linhas Ativas Mensais), Stitch (140+ fontes, preço baseado em linhas a partir de $100/mês, construído sobre Singer), Airbyte (opção open-source disponível, preço baseado em capacidade) e Dataddo (400+ conectores, a partir de $129/mês). São ferramentas focadas em engenharia, não específicas de marketing. O Supermetrics requer um plano Enterprise para destinos de warehouse.
Porter Metrics (relatórios white-label, templates para agências, monitoramento multi-cliente, preço por conta), AgencyAnalytics (plataforma all-in-one de relatórios para clientes, preço por cliente), DashThis (dashboards drag-and-drop, 30+ integrações, a partir de $49/mês, usuários ilimitados em todos os planos), and Databox (dashboards de KPI com insights de IA e compartilhamento com clientes). Para agências enterprise gerenciando grandes orçamentos de anúncios, Funnel.io and Improvado oferecem pipelines ETL mais profundos.
Porter Metrics (combina dados de Shopify, Meta Ads e Google Ads para medir receita e lucro em um único dashboard). Polar Analytics (analytics DTC com pixel server-side first-party para atribuição multi-canal, envia dados de conversão enriquecidos de volta para Meta e Google via Conversion API, a partir de $400/mês). Triple Whale (Triple Pixel para atribuição cross-device, reverse ETL para enviar dados de volta às plataformas de anúncios, Sonar Send para enriquecimento de email/SMS, plano gratuito disponível, pago a partir de $149/mês). Daasity (analytics omnichannel para marcas de consumo, 60+ integrações de e-commerce, previsão de demanda). Diferente do Supermetrics, essas ferramentas incluem pixels de rastreamento e enviam dados de conversão de volta às plataformas de anúncios para otimizar o desempenho das campanhas.
Dreamdata (plataforma de atribuição de receita B2B, mapeia jornadas de clientes multi-stakeholder, sincroniza dados de engajamento de volta para Salesforce e HubSpot, plano gratuito disponível, pago a partir de ~$750/mês). HockeyStack (inteligência de dados de receita B2B, 9 modelos de atribuição, rastreamento sem cookies, integra com CRMs e data warehouses, ~$2.200+/mês). Porter Metrics (combina dados de CRM e marketing para relatórios B2B). Essas ferramentas são construídas para ciclos de vendas longos e atribuição multi-touch entre marketing e vendas, enquanto o Supermetrics apenas move dados sem modelos de atribuição integrados.
Funnel.io (590 conectores, data warehouse integrado, governança de dados) e Improvado (500+ conectores, modelo de dados específico para marketing, CSM dedicado). Ambos requerem contratos anuais e preços sob consulta, com SLAs de nível enterprise e conformidade SOC2. Para pipelines ETL de uso geral, Fivetran, Stitch, and Airbyte são padrões da indústria usados por equipes de engenharia de dados, embora não tenham modelos de dados específicos para marketing.