The best marketing data platforms in 2026 are Supermetrics for cross-channel marketing intelligence, Adverity for multi-market governance, Fivetran for warehouse-first data teams and Twilio Segment for customer event data. We compared nine platforms on price, connectors, AI assistant access and limits.
This comparison draws on vendors' published product documentation and pricing pages, checked on October 22, 2026. Recommendations reflect the use cases and plan limits described below.
Key takeaways
- A marketing data platform connects ad, analytics, CRM and ecommerce data in one destination. The nine platforms here list between 68 integrations (Whatagraph) and 1,400+ (Improvado), according to each vendor's site.
- The nine platforms compared here are Supermetrics, Adverity, Cometly, Fivetran, Funnel, Improvado, Measured, Twilio Segment, and Whatagraph.
- As of October 2026, paid entry plans start at $39/month for Supermetrics Starter on annual billing, $120/month for Twilio Segment Team, $300/month for Funnel Starter on annual billing and €999/month for Whatagraph Max on annual billing. Fivetran and Twilio Segment also offer free plans. Adverity, Cometly and Measured provide custom quotes.
- Supermetrics connects 150+ data sources and supports workflows from collection to activation. Its AI integrations let marketers analyze data and manage supported ad campaigns from tools such as Claude and ChatGPT.
- Supermetrics is our pick for cross-channel marketing intelligence and unification. Choose Twilio Segment for customer profile data, Cometly for B2B SaaS attribution, or Fivetran for warehouse-first data engineering.
A marketing data platform pulls data from ad, analytics, CRM and ecommerce tools into one place so teams can analyze it and act on it.
Supermetrics' 2026 Marketing Data Report, a survey of 435 marketers in the US, UK, Germany, Australia and Singapore, found that 45% are still struggling with measurement and 40% say proving ROI across channels is their biggest challenge. The harder part is turning that data into insights teams can act on.
Marketing data platforms help teams pull channel data into one place and clean it, so marketing reporting and analysis start from the same numbers. Below are nine marketing data platforms compared on price, connectors, AI access and limits, each suited to a different part of marketing intelligence.
What are the types of marketing data platforms?
Marketing data platforms fall into five groups. Marketing data platforms connect channel data for reporting. Customer data platforms (CDPs) build user profiles from event data. ETL/ELT tools move data into warehouses. BI tools visualize it. Measurement and attribution tools estimate which spend drove results.
The main difference between a marketing data platform and a CDP is the unit of data. A marketing data platform works with campaign and channel metrics such as spend, clicks and conversions. A CDP such as Twilio Segment collects events from your own site and apps to build individual customer profiles. Both sit alongside the marketing analytics software that teams use to explore the results.
| Type | What it does | Example | Best for | Examples on this list |
|---|---|---|---|---|
| Marketing data platform | Unifies, manages, and activates marketing data end to end | Supermetrics | Cross-channel marketing teams | Supermetrics, Adverity, Funnel, Improvado, Whatagraph |
| Customer data platform | Builds unified customer profiles from behavioral events | Twilio Segment | Profile-based, product-led use cases | Twilio Segment |
| ETL / data movement | Moves raw data into a warehouse | Fivetran | Engineering-led data teams | Fivetran |
| BI platform | Visualizes and explores modeled data | Power BI | Analysts and dashboards | None listed |
| Measurement and attribution | Estimates which marketing spend drove results (MMM, multi-touch attribution, incrementality tests) | Measured | Teams proving the impact of media spend | Measured, Cometly |
What are the best marketing data platforms in 2026?
The best marketing data platforms in 2026 are Supermetrics for cross-channel marketing intelligence, Adverity for multi-market governance, Funnel for no-code data preparation, Fivetran for warehouse-first data teams, Improvado for managed enterprise setups, Twilio Segment for customer event data, Cometly and Measured for attribution and incrementality, and Whatagraph for agency client reporting.
The nine fall into four groups. Marketing data platforms: Supermetrics, Adverity, Funnel, Improvado and Whatagraph. Data movement (ELT): Fivetran. Customer data platform: Twilio Segment. Measurement and attribution: Cometly and Measured.
| Platform | Category | Best for | Key capabilities | Connectors | Pricing (as of October 2026) | Free plan / trial | Key limitation |
|---|---|---|---|---|---|---|---|
| 1. Supermetrics | Marketing data platform (marketing intelligence) | Cross-channel marketing intelligence | Connectors to AI assistants, spreadsheets, BI tools and warehouses; Supermetrics Studio; Supermetrics for Claude; data activation | 150+ | From $39/month, billed yearly | 14-day trial, no card | Starter covers 1 destination, 2 sources, 1 user; warehouses on Enterprise |
| 2. Adverity | Marketing data platform | Multi-market data governance | Adverity Connect harmonization; Adverity Atlas AI analyst; permissions and audit trails; MCP server | 600+ | Doesn't publish pricing; custom quote | Demo only | No published pricing or self-serve trial |
| 3. Cometly | Measurement and attribution | B2B SaaS attribution | Pixel and server-side tracking; multi-touch attribution; Conversion API; AI Ads Manager | 70+ | Custom (usage-based, by pageviews) | Demo only | Warehouse sync, MCP and API Enterprise-only; SOC 2 in progress |
| 4. Fivetran | Data movement (ELT) | Warehouse-first data engineering | Managed connectors; schema drift handling; dbt transformations; Activations (reverse ETL) | 750+ sources | Free plan + usage-based (monthly active rows) | Free plan; 14-day trial | Custom SQL or prebuilt transformation models are needed for marketing-specific reporting |
| 5. Funnel | Marketing data platform | No-code marketing data preparation | Funnel Data Hub storage; dashboards and portals; Funnel AI and MCP; Funnel Measure | 117 (Starter) to 600+ (Enterprise) | From $300/month, billed annually | 30-day trial, no credit card | Starter excludes warehouse export; Snowflake requires Enterprise |
| 6. Improvado | Marketing data platform | Managed enterprise implementation | Extraction and loading; transformation; data governance; AI agent and MCP | 1,400+ (per Improvado) | MCP Only $100/month; Starter platform from $20,000/year | No permanent free plan listed | Full platform starts at $20,000/year |
| 7. Measured | Measurement and attribution | Incrementality testing | Incrementality tests; test-calibrated MMM; Media Plan Optimizer; MCP server | 300+ | Doesn't publish pricing; custom quote | Demo only | Tests need scale (about 10–15 matched markets for geo tests) |
| 8. Twilio Segment | Customer data platform | Customer event data | Event collection and routing; identity resolution (CDP plans); Protocols; Engage audiences | 700+ | From $120/month (Team) | Free plan; 14-day Team trial | Identity resolution only on quote-based CDP plans; overage $10–12 per 1,000 visitors |
| 9. Whatagraph | Marketing data platform (agency reporting) | Agency client reporting | White-label reports; data blends; Whatagraph IQ; Whatagraph MCP | 68 | From €999/month, billed annually | 14-day Max trial | BigQuery and Snowflake integrations are premium (Prime) features. |
1. Supermetrics: best for cross-channel marketing intelligence
Supermetrics' marketing intelligence platform connects 150+ marketing data sources to AI assistants, spreadsheets, BI tools and warehouses, from $39/month billed yearly. It supports workflows from collecting and analyzing data to managing campaigns and activating audiences.
Supermetrics processes roughly 15% of global ad spend, according to its 2026 Marketing Data Report. Built for marketers, analysts, and agencies, Supermetrics helps organizations move from passive reporting to revenue-driving decisions. Teams use Supermetrics' data transformations and customizable Supermetrics dashboards to standardize naming, blend data across channels and share reports.
Supermetrics' Insights Agent helps teams investigate performance changes and identify optimization opportunities. Claude, ChatGPT and Microsoft Copilot are available as destinations across its plans; the package determines your destination allowance.
At marketing agency Layer, Morten Kleven used Supermetrics and Claude to turn a reporting task that normally took 10 hours into a 20-minute workflow. Meanwhile, Hawaiian Airlines saves over 500 hours per month by unifying its marketing data with Supermetrics to create an AI-ready data foundation.
Supermetrics encrypts data in transit and at rest. Its security page confirms annual SOC 2 Type II audits, ISO 27001 certification and GDPR and CCPA compliance. Its services page advertises 99.9% uptime and 24/5 support.
The challenge is no longer access to data, but the ability to make sense of it quickly enough to influence outcomes.
Supermetrics key features
- Supermetrics connects to 150+ data sources, including Google Ads, Facebook Ads, LinkedIn Ads, TikTok Ads and GA4. Its data management tools let teams standardize fields and blend data across channels.
- Supermetrics offers Claude, ChatGPT, Microsoft Copilot, Looker Studio, Google Sheets, Microsoft Excel and Power BI as core destinations. Starter and Growth include one core destination; Enterprise also supports warehouse destinations such as Snowflake and BigQuery.
- Supermetrics' Insights Agent helps marketers identify anomalies and trends, investigate performance changes and explore recommended next steps.
- Supermetrics Data Activation syncs audiences with digital advertising platforms. Separately, its campaign management capabilities let marketers make supported campaign changes through AI assistants.
- Supermetrics automates data refreshes for cross-channel reporting and provides reporting templates and Supermetrics Studio dashboards.
Supermetrics pricing (2026)
Supermetrics Starter starts at $39/month billed yearly, or $49 billed monthly. It includes one core destination, two data sources and one user. Growth starts at $159/month billed yearly; Enterprise is quote-based. Pricing depends on your destination and source, account and user allowances. Supermetrics states that it does not charge for data volume; Supermetrics Studio uses a separate AI credit allowance. A 14-day trial requires no credit card.
| Pros | Cons |
|---|---|
| Complete workflow coverage from collection to activation | Starter includes one core destination; extra destinations require an upgrade or add-on |
| Fixed subscription pricing without data-volume charges; Studio AI credits have separate allowances | Starter covers 1 destination, 2 data sources and 1 user, and warehouse destinations such as Snowflake and BigQuery sit on the quote-based Enterprise plan |
| SOC 2 Type II audited, ISO 27001 certified, GDPR- and CCPA-compliant | |
| Connectors for Google Sheets and Looker Studio let marketers configure reports without writing pipeline code | |
| Automation of cross-channel reporting and alerts |
Supermetrics helped us close a new 7-figure client thanks to our data warehouse offering. Along with thousands of hours in time savings, combining Supermetrics for Google Sheets and BigQuery has transformed our analytical capabilities.
Pick Supermetrics if you want marketing data in Looker Studio, Sheets or an AI assistant without engineering help; plan for Enterprise if you need a warehouse destination.
2. Adverity: best for multi-market data governance
Adverity is a marketing data intelligence platform for organizations managing marketing data across multiple markets, brands, or business units. Adverity Connect has 600+ marketing connectors and loads into warehouses such as Snowflake, BigQuery, Redshift and Databricks. Adverity emphasizes data governance and standardization, pulling data from different sources and regions into consistent formats for analysis.
Adverity also works well where governance and compliance are firm requirements, because its permissions and audit controls apply across every brand and region it loads. Unlike Supermetrics, Adverity sells a separate AI layer, Atlas, that works on top of any warehouse whichever tool loaded it.
Adverity key features
- Adverity's Data Mapping and Data Dictionary harmonize metrics such as "cost" and "spend" across channels before the data lands.
- Adverity Atlas, an AI analyst that sits on your warehouse, answers questions in plain language, flags anomalies and connects to AI assistants through an MCP server.
- Adverity's governance controls include role-based controls, centralized permissions management and audit trails for marketing data security.
- Adverity is ISO 27001 and SOC 2 Type 2 audited yearly, and supports GDPR, CCPA and HIPAA (BAA available).
Adverity pricing (2026)
Adverity doesn't publish pricing; quotes are custom after a demo (as of October 2026). There's no free plan or self-serve trial.
| Pros | Cons |
|---|---|
| Permissions, audit trails and GDPR, CCPA and HIPAA support | Primarily enterprise-focused |
| ISO 27001 and SOC 2 Type 2, audited yearly | Custom pricing may lack transparency |
| Multi-market data harmonization | Adverity says Connect onboarding typically takes 30–60 days |
| Adverity Atlas AI analyst with an MCP server | No published pricing and no self-serve trial |
Pick Adverity if you run many brands or markets and need governed data in your own warehouse; skip it if you want a self-serve trial or published prices.
3. Cometly: best for B2B SaaS attribution
Cometly is a marketing attribution platform for B2B SaaS teams that ties ad spend to pipeline and closed-won revenue. Cometly still integrates with Shopify and WooCommerce. Cometly focuses on recovering lost attribution through server-side tracking and modeling, so teams can see which marketing efforts drive revenue.
Cometly also gives paid-media teams multi-touch attribution tied to Stripe and CRM revenue for deciding where to scale budget. Cometly's AI Ads Manager then recommends which campaigns deserve more investment based on their contribution to revenue. Cometly's pricing page lists 70+ integrations, including Meta, Google Ads, LinkedIn, HubSpot, Salesforce and Stripe.
Cometly key features
- Cometly's Comet Pixel and server-side tracking are cookieless, cross-device and resistant to ad blockers.
- Cometly's AI Ads Manager lets teams adjust budgets and pause ads from one console. Its Agent answers plain-language questions using attribution data.
- Cometly's server-side tracking captures conversion events from backend systems, reducing reliance on browser-based tracking that ad blockers can interrupt.
- Cometly's Conversion API sends conversions back to Meta, Google and LinkedIn.
Cometly pricing (2026)
Cometly doesn't publish prices. Cometly’s Core and Enterprise plans are usage-based and quoted on a sales call according to your monthly pageviews (as of October 2026). There's no free plan or trial.
| Pros | Cons |
|---|---|
| Server-side conversion event collection | Focused on attribution vs. broader data management |
| AI Ads Manager budget recommendations based on revenue contribution | Pageview-based tiers can increase the subscription as website traffic grows |
| B2B SaaS revenue attribution, with Shopify and WooCommerce integrations | Snowflake and BigQuery sync, the MCP server and the API are Enterprise-only |
| Server-side tracking | SOC 2 is still in progress |
Pick Cometly if you're a B2B SaaS team tying ad spend to closed-won revenue; skip it if you need warehouse sync or MCP without an Enterprise contract.
4. Fivetran: best for warehouse-first data engineering
Fivetran is a general-purpose data movement platform that loads data from SaaS apps, databases and files into data warehouses such as Snowflake, BigQuery and Redshift. Fivetran has a free plan for up to 500,000 monthly active rows and supports dedicated data engineering teams with clean, well-structured data.
Fivetran's biggest strength is its managed approach to data pipelines, handling connector maintenance, schema changes, and quality monitoring. Fivetran lets teams focus on analysis instead of pipeline upkeep, but it needs additional transformation layers to make data marketing-ready. Unlike Supermetrics, Fivetran is general-purpose: its 750+ sources (per Fivetran's connector directory) include databases, ERP systems such as SAP, events and files, and it has its own reverse ETL product, Activations.
Fivetran key features
- Fivetran's managed connectors keep pipelines working as source APIs change.
- Fivetran's automatic schema drift handling adapts the destination schema while preserving historical data.
- Fivetran's dbt Core integration and Quickstart data models run scheduled transformations after data syncs.
- Fivetran Activations sends warehouse data back out to 200+ business tools.
Fivetran pricing (2026)
Fivetran has a free plan for up to 500,000 monthly active rows (as of October 2026). Paid plans (Standard, Enterprise and Business Critical) are usage-based on monthly active rows, with up to 22% off annual contracts. On paid plans, a $5 base charge applies to each standard connection that uses between 1 and 1 million monthly active rows. There's a 14-day free trial with no credit card.
| Pros | Cons |
|---|---|
| Managed connectors and schema drift handling | Requires additional tools for marketing-ready data |
| Built for dedicated data engineering teams | Warehouse reporting still requires transformation models, whether custom SQL or prebuilt models |
| 750+ sources | Cost scales with data volume (monthly active rows) |
| Free plan up to 500,000 monthly active rows, plus a 14-day trial | Fivetran's docs say customers write their own SQL to transform and model the data it delivers |
Pick Fivetran if your data team already writes SQL or dbt models in a warehouse; skip it if marketers need reports without engineering help.
5. Funnel: best for no-code marketing data preparation
Funnel is a marketing intelligence platform for collecting, storing and preparing marketing data. Its pricing page lists 117 connectors on Starter and 600+ on Enterprise. Teams can harmonize fields before using the data in dashboards, AI assistants or external destinations.
Funnel stores marketing data in its Data Hub, where teams can apply shared definitions and combine channel data for analysis. Funnel AI and Funnel MCP are available on every plan. Data Hub storage is part of Funnel's approach; Supermetrics also offers direct connector-based delivery and optional storage.
Funnel key features
- Funnel's no-code web interface provides field mapping, data harmonization and currency conversion for preparing marketing data.
- Funnel Data Hub stores cleaned marketing data that reporting and analysis tools can access.
- Funnel Measure covers marketing mix modeling, multi-touch attribution and incrementality testing, a quote-based add-on on Business and Enterprise.
- Funnel AI and Funnel MCP connect Funnel data to Claude, ChatGPT and Lovable on every plan.
Funnel pricing (2026)
Funnel Starter starts at $300/month and Business at $600/month, both billed annually; Enterprise is custom-priced. Flexpoints meter connected platforms, accounts and destinations. Funnel offers a 30-day Data Hub trial with no credit card. BigQuery export requires Business or Enterprise, while Snowflake export requires Enterprise.
| Pros | Cons |
|---|---|
| Marketing-focused data preparation | BigQuery export requires Business or Enterprise |
| No-code field mapping and data harmonization | May require supplemental tools for complex analysis |
| Published entry prices; flexpoints determine capacity for connectors, accounts and destinations | Starter offers 117 connectors and one workspace |
| Built-in data storage and shared metric definitions | Snowflake export needs Enterprise |
Pick Funnel if you want stored, harmonized marketing data plus built-in measurement; skip Starter if you need BigQuery or Snowflake export.
6. Improvado: best for managed enterprise implementation
Improvado is a marketing data and analytics platform that advertises 1,400+ data source integrations. It combines data extraction and transformation with an AI agent and MCP access. Enterprise includes hands-on professional services for teams that want help implementing and operating their setup.
Improvado maps metrics and dimensions across advertising platforms to support consistent cross-channel analysis. Its Enterprise package includes hands-on professional services; its lower-priced MCP Only package focuses on access through external AI tools.
Improvado key features
- Improvado's cross-channel mapping automatically unifies metrics and dimensions across advertising platforms.
- Improvado holds SOC 2 Type II, HIPAA (with BAAs), GDPR and CCPA compliance.
- Improvado's Data Governance Dashboard tracks compliance with marketing data rules and helps teams identify recurring campaign data quality issues.
- Improvado's Custom Connector Builder lets teams connect API-based data sources through its AI Agent chat interface. Its service desk also accepts new API connector requests.
Improvado pricing (2026)
Improvado lists MCP Only at $100/month, Starter from $20,000/year and Growth from $50,000/year. Enterprise is custom-priced and includes hands-on professional services. Packages set allowances for annual data rows, workspaces and AI actions; MCP Only includes two million rows per year. No permanent free plan is listed on the current pricing page.
| Pros | Cons |
|---|---|
| White-glove service and implementation | Custom pricing lacks transparency |
| Cross-channel data harmonization | Starter begins at $20,000/year; Enterprise pricing is custom |
| Security and compliance (SOC 2 Type II, HIPAA, GDPR, CCPA) | MCP Only has narrower row and action allowances than full platform packages |
| Managed approach reduces internal effort | Enterprise is custom-priced; hands-on professional services are included at that tier |
Pick Improvado if you need enterprise marketing data infrastructure with implementation services. Compare its annual platform packages with the narrower $100/month MCP Only option.
7. Measured: best for incrementality testing
Measured is a marketing measurement platform for enterprise brands that combines incrementality tests with test-calibrated media mix modeling. Measured has 300+ managed integrations, including Amazon Ads, Search Ads 360 and Supermetrics, and is ISO 27001 certified and SOC 2 Type II compliant. Measured's marketing measurement relies on testing methodologies rather than traditional tracking.
Measured's approach suits brands that have outgrown last-click attribution and need to understand their investment's impact. Measured's incrementality testing separates correlation from causation in marketing performance data. Measured lists Supermetrics as an integration partner, so its incrementality results can flow into Supermetrics-powered reports.
Measured key features
- Measured's geo-based testing compares marketing performance across matched geographic regions.
- Measured's media mix modeling (MMM) sets budget based on historical performance and diminishing returns, calibrated with incrementality tests.
- Measured's simulations forecast how budget changes may affect profit or growth targets.
- Measured's MCP server lets marketers query incrementality data inside ChatGPT, Claude and Gemini.
- Measured is ISO 27001 certified and SOC 2 Type II compliant, with GDPR and CCPA compliance.
Measured pricing (2026)
Measured doesn't publish pricing on its website; quotes are custom after a demo (as of October 2026). There's no free plan or trial.
| Pros | Cons |
|---|---|
| Incrementality tests calibrate the MMM | Testing needs scale: holdout tests become available only once a channel clears a contribution threshold, and geo tests typically need about 10–15 matched markets |
| Combines incrementality testing with media mix modeling | Focused on measurement vs. broader data management |
| Incrementality testing separates correlation from causation | Reliable experiments require sufficient conversion volume and suitable geographic coverage |
| 300+ managed integrations, including Supermetrics | No published pricing, free plan or trial |
Pick Measured if you need to prove the incremental impact of media spend across many markets; skip it if your channels are too small to clear its test thresholds.
8. Twilio Segment: best for customer event data
Twilio Segment (or Segment) is a customer data platform with 700+ integrations. Twilio Segment collects behavioral events from touchpoints like websites and mobile apps to build customer profiles. Twilio Segment resolves identities into customer profiles (on its CDP plans), connecting interactions to the same individual across devices and sessions.
Twilio Segment collects customer behavior events from your own websites and apps. Twilio Segment's focus on behavior and journey progression makes Twilio Segment a good fit for product-led organizations that need to understand how users interact with their products over time.
Twilio Segment key features
- Twilio Segment's identity resolution and unified profiles (on CDP plans) connect user interactions across devices, sessions and touchpoints.
- Twilio Segment Protocols (paid add-on) enforce data quality with schema requirements and validation rules.
- Twilio Segment has a single SDK and API instead of dozens of separate SDKs.
- Twilio Segment streams events in real time to 700+ integrations, including data warehouses.
Twilio Segment pricing (2026)
Twilio Segment has a permanent Free plan (1,000 visitors a month, 2 sources), a Team plan from $120/month with 10,000 visitors included and a 14-day trial, and a custom-priced Business plan (as of October 2026).
| Pros | Cons |
|---|---|
| Identity resolution (on CDP plans) | Extra visitors cost $10–12 per 1,000 above the 10,000 included on Team |
| Real-time event streaming | Focused on behavioral data vs. marketing campaigns |
| Event tracking across web, mobile and server sources | Custom event tracking requires SDK or API instrumentation in your website, app or backend |
| Integrations with 700+ tools | Identity resolution is only on quote-based CDP plans |
Pick Twilio Segment if you need first-party event data from your own site and apps; skip it for ad-platform reporting, which isn't what it collects.
9. Whatagraph: best for agency client reporting
Whatagraph is a marketing intelligence and reporting platform for agencies, multi-location operators and multi-brand ecommerce teams. Whatagraph's integrations page lists 68 integrations. Whatagraph prioritizes client-ready data visualizations and dashboards, so agencies can produce deliverables without extensive design or technical skills.
Whatagraph's drag-and-drop report builder and white-label reports help agencies keep client deliverables consistent. Whatagraph IQ is included on both plans, and Whatagraph MCP lets Claude and ChatGPT read account data on every plan. For a direct comparison, see the Supermetrics vs. Whatagraph comparison.
Whatagraph key features
- Whatagraph IQ creates reports, applies themes, writes summaries and answers questions in chat on every plan.
- Whatagraph's multi-source blending combines data from different marketing sources into unified views.
- Whatagraph provides ready-made dashboard templates and drag-and-drop widgets for building reports.
- Whatagraph includes white-label reports and themes on both plans.
Whatagraph pricing (2026)
Whatagraph's pricing page lists Max from €999/month billed annually, with Prime custom-priced. Its help center confirms unlimited users and reports on both plans and a 14-day Max trial. Pricing depends on connected accounts and the integrations required.
| Pros | Cons |
|---|---|
| Built for agency client reporting | BigQuery and Looker transfers require Prime |
| Linked report templates and themes | Cost scales with connected accounts, since each account uses one source credit |
| White-label and brand customization | Focused on reporting vs. broader data management |
| Unlimited users and reports on both plans | BigQuery and Snowflake integrations are premium (Prime) features. |
Pick Whatagraph if your agency wants white-label client reports in one tool, but skip Max if you need BigQuery or Snowflake integrations.
Which marketing data platforms work with AI assistants?
Eight platforms on this list document connections to external AI assistants, although access and setup differ. Supermetrics offers AI destinations across its plans, while Funnel and Whatagraph provide MCP reading access on every plan. Cometly reserves MCP for Enterprise, and Improvado lists MCP Only at $100/month. Fivetran's open-source MCP server is self-hosted.
Most of these connections run on the Model Context Protocol for marketing. The Model Context Protocol project describes MCP as an open-source standard for connecting AI applications to external systems, which is how Claude or ChatGPT reach a marketing data platform.
| Platform | AI assistant connection | Plan access |
|---|---|---|
| Supermetrics | Claude, ChatGPT and Microsoft Copilot are available destinations; supported campaign actions depend on the connected ad platform | AI destinations available across plans; package destination limits apply |
| Adverity | Adverity Atlas via API, CLI and MCP server | Custom contract; Adverity MCP requires Management API access and an API key |
| Cometly | MCP server for Claude and ChatGPT; Agent for plain-English questions | MCP on Enterprise only; Agent on Core |
| Fivetran | Open-source Fivetran MCP server that you host yourself; not officially supported by Fivetran | Self-hosted |
| Funnel | Funnel AI and Funnel MCP for Claude, ChatGPT and Lovable | Funnel AI and Funnel MCP available on every plan. |
| Improvado | AI agent and MCP for Claude, ChatGPT and Cursor | MCP Only $100/month; MCP allowances also included in platform packages |
| Measured | Measured MCP server for ChatGPT, Claude and Gemini; AI-powered Media Plan Optimizer | Not published |
| Twilio Segment | Predictive AI and audiences in the CDP; Twilio MCP supports developer documentation lookup | CDP plans are custom-priced; Twilio's developer MCP is not a documented live query interface to Segment customer profiles |
| Whatagraph | Whatagraph MCP for Claude and ChatGPT; Whatagraph IQ | MCP reading access on every plan; report changes depend on included tools |
Sources: each vendor's own pricing and product pages (Supermetrics, Adverity, Cometly, Fivetran, Funnel, Improvado, Measured, Twilio and Whatagraph), checked October 2026.
How much does a marketing data platform cost?
As of October 2026, Fivetran and Twilio Segment offer free plans. Paid entry points include Supermetrics at $39/month billed yearly, Funnel at $300/month billed annually and Whatagraph at €999/month billed annually. Improvado lists MCP Only at $100/month and its Starter platform from $20,000/year. Pricing meters vary, so compare your expected source, account and usage allowances.
| Platform | Entry price (as of October 2026) | Pricing meter | Free plan / trial |
|---|---|---|---|
| Supermetrics | From $39/month billed yearly ($49/month billed monthly) | Destinations, data sources, accounts and users | 14-day trial, no credit card |
| Adverity | Custom quote | Not published | Demo only |
| Cometly | Custom quote | Monthly pageviews | Demo only |
| Fivetran | Free; paid plans usage-based | Monthly active rows, $5 base per standard connection on paid plans | Free plan; 14-day trial |
| Funnel | $300/month billed annually | Flexpoints | 30-day trial, no credit card |
| Improvado | MCP Only $100/month; Starter platform from $20,000/year | Annual data rows, AI action allowances and workspaces | No permanent free plan listed |
| Measured | Custom quote | Not published | Demo only |
| Twilio Segment | Free; Team from $120/month | Monthly tracked users (visitors) | Free plan; 14-day Team trial |
| Whatagraph | €999/month billed annually (Max) | Source credits (1 per connected account) | 14-day Max trial |
Quote-based plans often bundle onboarding, so ask what implementation and services cost on top.
How is a marketing data platform different from GA4?
GA4 measures what happens on your website and app. A marketing data platform pulls GA4 in alongside ad, CRM and ecommerce data and keeps the history in a destination you choose. Google's Analytics Help documentation says GA4 keeps user-level data for 2 or 14 months, which limits explorations but not standard aggregated reports.
Should you build in-house or keep using spreadsheets?
Spreadsheets and in-house scripts work for a handful of sources, but someone has to fix each connection whenever a platform changes its API. A marketing data platform maintains the connectors for you. Supermetrics Starter covers 2 data sources from $39/month, and even a pipeline tool like Fivetran leaves data modelling to your team.
For the trade-offs in more detail, see build vs. buy marketing software.
What's the vendor lock-in risk with a marketing data platform?
Lock-in risk depends on where your data lives. Funnel stores data in its own Data Hub, while Whatagraph's BigQuery and Snowflake integrations are premium features. Supermetrics doesn't permanently store data loaded through its connectors, so your history can sit in a warehouse you own and stays put if you switch tools.
For how the storage options compare, see Supermetrics Storage vs. a data warehouse.
How do you switch platforms without breaking reports?
Run the new platform alongside the old one until the numbers match, then move dashboards in batches. VodafoneZiggo ran Supermetrics for Google Sheets next to its existing tool before switching fully, then migrated every dashboard in about two months. Adverity says onboarding with Connect takes 30 to 60 days.
VodafoneZiggo's migration to Supermetrics shows how the parallel run played out:
With Supermetrics, we set up the data warehouse and migrated all dashboards in about two months. Since then, we've expanded the scope, the number of data connections, and the applications continuously
How do you choose a marketing data platform?
Start with who will run it. If you have data engineers and a warehouse, Fivetran moves data cheaply at low volume and leaves modelling to your team. If marketers will run it without engineering help, Supermetrics or Funnel connect channel data straight to reports, spreadsheets or AI assistants.
Supermetrics' 2026 Marketing Data Report says 50% of marketers use AI for content creation and copywriting, compared with 35% for reporting and analytics. Before comparing vendors, review these marketing data management basics:
- Small teams usually need fast setup and a low entry price, while enterprises need governance and custom contracts.
- Your team's makeup decides the tool: check whether you have dedicated data engineering resources or need self-service.
- Your budget should cover implementation, ongoing fees, the pricing meter (volume-based or flat) and training.
- Your critical features set the shortlist, so list your reporting, analytics, activation and governance needs.
- Each platform's technical setup and maintenance adds to the total cost of ownership through internal staff time.
- Check whether the vendor's controls and contractual commitments meet your privacy requirements, including GDPR, CCPA or HIPAA where applicable. Review the scope and period covered by its SOC 2 report, rather than treating an audit report as a guarantee of legal compliance.
Everything is powered by quality data. You can't know what's quality unless you have data to dig through. And if you don't have data, you can't do anything.
What's the best marketing data platform for agencies?
For agencies, Whatagraph offers white-label client reporting with unlimited users and reports, from €999/month billed annually. Supermetrics starts at $39/month billed yearly and connects to Looker Studio, Google Sheets and other destinations; warehouse delivery is available on Enterprise. Atomic 212's team reports saving 20 hours a week on reporting with Supermetrics.
What's the best marketing data platform for small teams?
Supermetrics Starter costs $39/month billed yearly and includes one core destination, two data sources and one user. Twilio Segment and Fivetran offer permanent free plans for customer event data and data pipelines respectively. Improvado's current entry offer is MCP Only at $100/month.
What's the best marketing data platform for enterprises?
For enterprise and multi-market teams, Adverity offers custom contracts and Improvado Enterprise bundles hands-on professional services. Supermetrics Enterprise adds data warehousing, Data API access, data transformations and data residency controls on a custom quote.
What's the best marketing data platform for B2B SaaS?
B2B SaaS teams that need ad spend tied to pipeline and closed-won revenue should look at Cometly, which prices by monthly pageviews and syncs with HubSpot and Salesforce. Teams that mainly need cross-channel reporting can start with Supermetrics instead.
Which marketing data platform should you choose?
For cross-channel reporting and AI-assisted analysis, Supermetrics is our recommended starting point. It connects 150+ sources to tools such as Claude, ChatGPT, Looker Studio and Google Sheets, from $39/month billed yearly. Teams building warehouse pipelines should also shortlist Fivetran; multi-market enterprises should consider Adverity.
Marketing teams that report across many channels adopt platforms that connect data collection, management, analysis and activation. Supermetrics is used by 200,000+ companies in 120 countries. Whether you want to analyze and visualize marketing data in Supermetrics or automate marketing reporting, Supermetrics connects the data to the tools your team already uses.
See how Supermetrics fits your marketing data workflow with a 14-day Supermetrics free trial.
Frequently asked questions
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A marketing data platform is software that connects data from marketing and sales tools into one destination, so teams can automate collection and manage data quality before acting on the results.
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Marketing data platforms unify campaign and channel data, while customer data platforms build individual user profiles from first-party events. Many teams run both in one marketing tech stack.
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Implementation time depends on the number of sources and destinations. Simple reporting tools can be operational within days, while complete enterprise platforms may take multiple weeks to fully implement. Adverity says onboarding with Connect takes 30 to 60 days, and VodafoneZiggo moved all its dashboards to Supermetrics in about two months.
Factors that affect implementation timelines often include:
- The number of data sources
- Customization requirements
- Internal approval processes
- Team training
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Supermetrics is our pick for cross-channel marketing intelligence. It connects 150+ data sources to AI assistants, spreadsheets, BI tools and warehouses, with access depending on the package. Fivetran suits warehouse-led data teams, Adverity serves enterprise governance needs, Cometly focuses on revenue attribution and Twilio Segment collects customer event data.
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Compare connector coverage, supported destinations, data preparation, AI assistant access and security controls. Check the scope of independent audits such as SOC 2 Type II.
- The platform integrates data from many sources.
- The platform cleans and transforms data automatically.
- The platform includes customizable dashboards and reporting.
- Check that refresh schedules and source API delays meet your reporting needs.
- The platform has security controls such as encryption and access permissions.
Teams should also look for data activation and AI-powered insights such as automated anomaly detection, and check which plan includes each one.