Coupler.io Blog

Best Marketing Data Integration Tools in 2026 for Unified Campaign Reporting

  • Zakhar Yung

    • Tired of creating marketing reports from scratch? Manual reporting, scattered data on various platforms, and no overview of the full customer journey are issues many marketers face at some point. 

    Want to solve these challenges? In this article, we’ve highlighted the best data integration solutions for marketing to unify your campaign reporting and forget about switching from one platform to another.

    Marketing data integration platforms comparison table

    In the table below, we compare 7 top marketing data integration platforms, each designed with different levels of complexity, flexibility, and user access in mind. These differences directly impact how marketing teams connect tools, build reports, and act on performance data, with or without engineering support.

    ToolIntegrationsEase of useAutomationAttributionIndependence for marketersPricing
    Coupler.io420+ No-codeHourly/daily syncsNo native attribution; can be built in reports100% marketer-operatedFrom $24/month (per account)
    Funnel500+ No-codeAuto-refresh by source typeRule-based attribution + campaign groupingFully self-serveFrom $399/month
    Adverity600+ Enterprise setupBatch + streaming optionsPredictive attribution + MMM modelingWorks best with data teamsEnterprise pricing (custom)
    Hevo Data150+ Low-codeReal-time + batch schedulingAttribution via dbt or external logicMarketer-accessibleFrom $399/month
    Windsor.ai200+ No-codeAutomated syncs + model updatesBuilt-in multi-touch + MMM attributionMarketer-accessibleCustom (based on use case)
    Fivetran700+ Low-code15-minute auto syncsAttribution needs dbt or external toolingLimited without dev supportUsage-based (scales with rows)
    Airbyte600+ Technical setupBatch, streaming, dbt integrationNo attribution featuresRequires engineering setupFree (self-hosted) or custom

    Top marketing data integration solutions

    1. Coupler.io

    Coupler.io is a no-code data integration platform that helps marketing teams unify data from over 420 apps and tools into spreadsheets, BI platforms, data warehouses, or AI assistants. It’s built for non-technical users who want to automate marketing reporting and performance tracking without relying on engineers or writing code.

    Key marketing integrations

    Coupler.io provides connectivity to marketing platforms to centralize campaign data, analyze performance across channels, and optimize ROI. The platform supports over 400 business data sources. In terms of marketing, here are the key ones:

    Each data source connector uses marketing API but no coding or technical skills are needed to use them.

    Beyond marketing platforms, Coupler.io connects finance applications (QuickBooks, Xero, Stripe), e-commerce systems (Shopify, WooCommerce, Magento), project management tools, and more for cross-channel marketing analytics.

    Data delivery & sync:

    Reporting and BI support:

    Limitations:

    Ideal use case

    A marketing team managing 10+ data sources (Meta Ads, TikTok Ads, GA4, HubSpot, Stripe) that needs to sync campaign data daily into Google Sheets and Looker Studio for performance tracking and to unify marketing data for dashboards without engineering help.

    Pricing:

    As one of the best marketing agency tools, Coupler.io uses account-based pricing. You pay per connected data source, not per user or flow.

    For example, a team syncing Facebook Ads, LinkedIn Ads, GA4, HubSpot, and QuickBooks into Google Sheets, Looker Studio, and ChatGPT would pay $99/month with no added user or flow fees.

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    2. Funnel

    Funnel is a marketing data platform built to centralize, model, and deliver campaign performance data from hundreds of sources into reporting and analytics tools. Designed for marketing teams, agencies, and digital analysts, Funnel eliminates manual exports and messy spreadsheets by providing clean, harmonized marketing data, ready for use in dashboards, warehouses, or BI tools. No coding required.

    Key marketing integrations:

    Funnel supports various connectors across ad platforms, CRMs, analytics tools, and e-commerce systems. 

    Sources include:

    Data delivery & sync:

    Reporting and BI support:

    Limitations:

    Ideal use case:

    A performance marketing team managing campaigns across Google, Meta, LinkedIn, TikTok, and Amazon Ads, wanting to consolidate performance data into Looker Studio and Google Sheets with harmonized metrics, channel-level attribution, and no developer involvement.

    Pricing

    Funnel uses a flexpoint-based pricing model, with plans tailored to company size, data volume, and export destinations.

    Pricing is not public. A pricing estimator is available, but full quotes require booking a demo.

    3. Adverity

    Adverity is a marketing data platform built for teams that need to centralize, govern, and activate large volumes of campaign data across multiple markets, brands, and channels. It connects hundreds of marketing platforms into a single, trusted data layer that feeds BI tools, data warehouses, and AI systems. The platform combines data integration, transformation, governance, and AI‑powered insights into one enterprise‑ready solution.

    Key marketing integrations:

    Adverity provides a variety of connectors across advertising, analytics, CRM, and commerce platforms, including:

    Data delivery & sync

    Reporting and BI support:

    Limitations:

    Ideal use case:

    An enterprise or agency managing dozens of ad platforms, regions, and brands that needs a governed, scalable marketing data layer feeding Snowflake, BigQuery, Looker, or Power BI with standardized metrics and AI‑driven insights.

    Pricing:

    Adverity uses fully custom pricing based on the number of connectors, destinations, data volume, and governance requirements.

    There are no fixed tiers, every customer receives a tailored quote after a demo and needs assessment.

    This pricing model suits large organizations that need enterprise security, governance, advanced transformations, and AI‑driven analytics at scale.

    4. Hevo Data

    Hevo Data is a no-code platform that helps teams unify and sync real-time data from 150+ SaaS, database, and event sources into cloud data warehouses and BI tools. Built for speed, it supports both ETL and ELT models with low-latency pipelines and minimal setup. Hevo is ideal for teams that need to automate marketing data reporting without managing infrastructure or writing extensive code.

    Key marketing integrations:

    Hevo supports a variety of native connectors across SaaS, CRM, analytics, and ad platforms.

    Common marketing tools include:

    Data delivery & sync:

    Reporting and BI support:

    Limitations:

    Ideal use case:

    Fast-growing marketing or operations teams syncing Shopify, Stripe, GA4, and HubSpot into BigQuery or Redshift for real-time dashboards and campaign reporting, without building custom data infrastructure.

    Pricing:

    Hevo provides an event-based pricing. It comes with a Free tier (1M events/month, 1 destination) for small workloads or testing.

    The Starter plan starts at $399/month, supporting 20M events, 50+ connectors, and 10 users.

    For example, a team syncing Shopify orders, Facebook Ads spend, and Stripe revenue into BigQuery for real-time analytics could run on the Starter plan without additional infrastructure. Custom quotes are available for larger needs.

    5. Windsor.ai

    Windsor.ai is a no-code ETL/ELT platform built for marketers and agencies that want to automate cross-channel reporting and unify data from over 325 sources. With native support for BI tools, spreadsheets, and cloud data warehouses, Windsor enables end-to-end data integration and insight generation,  all without code. AI features and customizable dashboards make it easy to surface performance insights fast.

    Key marketing integrations:

    Windsor supports a variety of prebuilt and custom connectors, including major marketing, CRM, and analytics platforms:

    Data delivery & sync:

    Reporting and BI support:

    Limitations:

    Ideal use case:

    Agencies and marketing teams handling 10-200 client accounts across Meta Ads, Google Ads, Shopify, GA4, and more, who want near real-time syncing into Looker Studio and Power BI, automated client reporting, and clear attribution insights without hiring developers.

    Pricing:

    Windsor offers flexible, tiered pricing based on monthly active rows (MAR) and number of sources:

    For example, a performance team managing data from Google Ads, Meta Ads, GA4, Salesforce, and Shopify across 50 accounts with hourly syncs to Power BI and BigQuery would typically use the Standard or Plus plan.

    6. Fivetran

    Fivetran is a fully managed, cloud-native ELT platform built to automate the movement of data from over 700 sources into leading cloud data warehouses. It prioritizes pipeline reliability and scalability by managing schema changes, connector updates, and data syncs behind the scenes. With native dbt integration, Fivetran allows teams to run SQL-based transformations post-load, enabling efficient data modeling at scale.

    Key marketing integrations:

    Fivetran supports a variety of connectors, including a strong selection for marketing, CRM, and finance data:

    Data delivery & sync: 

    Reporting and BI support:

    Limitations:

    Ideal use case:

    Mid-sized to large marketing teams with growing data volumes, looking to automate ELT pipelines into Snowflake, BigQuery, or Redshift, and run warehouse-native analytics using dbt and BI tools,  without managing infrastructure or manual scripts.

    Pricing:

    Fivetran uses a usage-based pricing model based on Monthly Active Rows (MAR) and Monthly Model Runs (MMR).

    For example, a team syncing 10M rows/month from Facebook Ads, LinkedIn Ads, TikTok, Instagram, and HubSpot into BigQuery would start around $160/month, with actual pricing adjusted based on usage and transformation frequency.

    7. Airbyte

    Airbyte is a highly flexible open-source ELT platform designed for data teams that prioritize control, customization, and scalability. With a fast-growing connector catalog and active contributor community, it supports over 600 sources and enables users to build or modify connectors with or without code. It’s available as a free self-hosted solution or a fully managed cloud platform for those who prefer hands-off infrastructure.

    Key marketing integrations:

    Airbyte offers a variety of connectors across analytics, advertising, CRM, and payment tools.
    Notable sources include:

    Data delivery & sync:

    Reporting and BI support:

    Limitations:

    Ideal use case:

    Best for technical data teams or early-stage companies that want to control every aspect of their pipeline stack. A strong choice for teams that want to build or maintain custom connectors, or that already rely on orchestration tools like Airflow or dbt.

    Pricing:

    Airbyte uses a flexible pricing model:

    For example, a startup syncing Stripe, PostgreSQL, and GA4 into Redshift through Airbyte Cloud can manage their pipeline with minimal costs starting at $10/month, without worrying about server maintenance.

    Choose the right tool for your team

    Most marketing teams don’t need a heavy enterprise setup or engineering workflows. They need fast, flexible, and reliable marketing data integration and reporting, without writing code or depending on developers. For that reason, Coupler.io is the strongest all-around choice.

    Best forRecommended toolWhy
    Fast setup and marketer independenceCoupler.ioNo-code UI, 400+ connectors, spreadsheet + BI syncs, unlimited flows
    AI-powered reporting and analysisCoupler.ioDashboards with built-in AI recommendations and MCP support for natural language insights
    Budget-conscious teams and startupsCoupler.io, AirbyteTransparent and budget-friendly pricing (Coupler), free self-hosting option (Airbyte)
    Attribution and MMM modelingWindsor.aiBuilt-in multi-touch attribution and funnel reporting
    Real-time or CDC syncsHevo Data, FivetranLow-latency syncs, event pipelines, and dbt transformation support
    Managing multiple client accountsCoupler.io, FunnelClient-ready dashboards, templates, and multi-account control
    Enterprise governance and complianceAdverityAccess controls, SLAs, advanced transformation layers

    Challenges solved by marketing data integration platforms

    This section breaks down the most common data and reporting problems and how integration platforms solve them at the root.

    Scattered data across marketing platforms

    Marketing teams use multiple tools every day, from Facebook Ads for paid campaigns, Google Analytics for web traffic, HubSpot for CRM, to platforms like Shopify or Stripe for revenue tracking. 

    A data integration platform helps teams integrate marketing data from multiple sources into a single reporting destination like Looker Studio, BigQuery, or Google Sheets. For example, a retail brand can unify ad spend from Meta Ads with purchase data from Shopify to track ROAS across channels in one place.

    Manual reporting and spreadsheet fatigue

    Most marketing teams rely on spreadsheets for weekly or monthly performance updates. This means exporting CSVs, copying values into tracking sheets, and rebuilding dashboards regularly. This process is error-prone and slow. Integration tools eliminate this by automating report refreshes.

    Inconsistent naming and broken schema mapping

    Each platform uses its own naming conventions. Google Ads may call a field “Cost,” while Facebook Ads calls it “Amount Spent.” API changes can also break connections, causing missing or misaligned data. Modern integration tools standardize and rename fields so data is clean and comparable. 

    Delayed decision-making from outdated data

    When marketing data is only updated weekly or monthly, teams react too slowly to optimize campaigns. Budgets may continue flowing into underperforming ads simply because data wasn’t fresh. Platforms with real-time or hourly syncs enable faster decisions. 

    No single source of truth across teams

    Without integration, different teams rely on siloed reports. Marketing might use GA4, while sales pulls from HubSpot. This leads to mismatched metrics and misalignment in performance tracking. Data integration platforms consolidate marketing, sales, and financial data into a unified system. 

    Heavy reliance on engineers for data tasks

    Marketers often need help from developers to set up scripts, fix broken APIs, or connect new tools. This causes delays and prevents marketing teams from being self-sufficient. No-code integration platforms give control to marketers with drag-and-drop interfaces and prebuilt connectors. 

    Key features to look for in a marketing data integration platform

    The right data integration for marketers must do more than move data. It should simplify setup, unify performance metrics, and support agile decision-making. Below are the essential features that separate beginner tools from platforms built for modern marketing teams.

    Connectors for marketing, CRM, analytics, and finance tools

    The platform should include a broad set of connectors that cover your entire marketing stack. These connectors make it easy to pull data directly from ad platforms like Meta Ads, Google Ads, and TikTok Ads, as well as analytics tools such as GA4 or Looker Studio. 

    For example, Coupler.io supports over 400 data sources, including both marketing and operational tools, which makes it ideal for teams tracking campaigns, conversions, customer journeys, and revenue in one place.

    No-code pipeline builder with visual mapping

    Non-technical users should be able to set up data flows using a drag-and-drop interface or a guided workflow. The platform should allow users to choose sources, map fields, configure sync schedules, and define how data should appear on the destination side, all without writing SQL or scripts.

    Coupler.io, Funnel, and Windsor.ai are examples of no-code marketing data integration platforms that allow marketers to connect tools and automate workflows without writing code.

    Automated syncs with support for scheduled or event-driven updates

    Timely data is critical for campaign optimization. Platforms should offer flexible sync options, such as hourly, daily, or near real-time. Coupler.io offers hourly and daily syncs, which is ideal for most campaign tracking use cases. 

    In addition, you can use webhooks to trigger external events or launch your data flows in sequences.

    Multiple destinations across tools and formats

    Your data might need to go to multiple places: a spreadsheet for quick edits, a BI tool for visual dashboards, and a warehouse for long-term storage. The best platforms support multi-destination delivery across these categories.

    Coupler.io supports exports to spreadsheets like Google Sheets and Excel, BI tools like BigQuery and Power BI, and even integrates with AI tools such as ChatGPT. 

    Field-level transformations during or after import

    To standardize reporting, platforms should allow you to rename, filter, or clean fields during the import process. This prevents inconsistent data like “Amount Spent” vs. “Cost” from breaking dashboards.

    Coupler.io includes built-in transformation tools that let marketers align field names and clean up datasets before they reach the destination. 

    Attribution modeling and funnel analysis support

    Not all platforms offer built-in attribution modeling, but your tool should at least allow you to set up funnel tracking and campaign-level attribution logic. Platforms with native support for multi-touch attribution or MMM (Marketing Mix Modeling) are valuable for large teams.

    Dashboard templates and reporting automation

    Setting up dashboards from scratch takes time. Platforms that include prebuilt templates for ad spend, ROAS, and conversions help marketing teams get started faster and eliminate recurring manual reporting.

    Coupler.io offers free templates for Google Sheets, Looker Studio, and Excel that marketers can adapt to their needs. 

    AI-powered analytics and natural language insights

    Advanced platforms are beginning to support natural language querying, allowing teams to ask questions like “What is our CAC trend for the last 3 months?” and receive structured responses.

    Coupler.io’s MCP bridges synced data with AI tools, enabling conversational analysis without touching a dashboard. This is especially useful for CMOs or team leads preparing reports on the fly.

    Built-in data governance and access control

    To meet security and compliance standards, platforms should offer role-based access control, secure data transmission, and GDPR-compliant processing. Governance is critical when syncing financial or customer data.

    Coupler.io, Fivetran, and Adverity include account-level access control and encrypted data transfers. Teams handling sensitive or PII data should prioritize platforms with built-in governance features.

    Transparent and scalable pricing structure

    Understanding your pricing model is essential for long-term planning. Some platforms use flat rates based on the number of connected sources or accounts. Others charge based on row count or event volume, which can fluctuate and cause unpredictable costs.

    Coupler.io offers account-based pricing with unlimited flows and users, making it easy for smaller teams to scale. Windsor.ai uses row-based pricing, while Hevo and Fivetran use volume-based models based on Monthly Active Rows (MAR).

    Try Coupler.io for free
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