Marketing Data Platform Pricing Compared

Marketing data platform pricing splits into two camps, and the split matters more than the numbers. One camp publishes a price you can read in ten seconds: Supermetrics, Coupler.io, Windsor.ai, Funnel.io and, partly, Improvado. The other camp publishes nothing and quotes every customer: Adverity and Domo. Below is what each one charges as of August 2026, read off their own pricing pages, plus the meter that decides which tier you actually land on.

The reason entry prices mislead is that no two vendors meter the same thing. One charges by data source, one by connected account, one by destination, one by rows moved, and one by all four at once. A $19 plan that allows three sources and a $99 plan that allows ten are not really competing on price, they are competing on how fast you outgrow them. So read the meter column below before the price column.

Marketing data platform pricing, August 2026

Only prices these vendors publish themselves are listed. Where a vendor sells by quote, the table says so rather than guessing at a number.

Which marketing data platforms publish their pricing?

Five of the seven do, to varying degrees. Coupler.io and Windsor.ai are the most transparent: full tier lists, free plans, and self-serve checkout. Supermetrics publishes every tier but prices in euros and runs a 14-day trial instead of a free plan. Funnel.io publishes entry points for Starter and Business but has no self-serve checkout, so you still talk to someone. Improvado is a hybrid, publishing a $0 Free Limited tier and a $100 a month MCP Only tier that are both aimed at giving an AI agent access to marketing data, while keeping its real reporting tiers, Advanced and Enterprise, on quote.

Adverity publishes nothing. Its pricing page states that "because every customer is different we don't stick to rigid pricing plans" and that it provides "a fully customized quote, uniquely tailored for the needs and requirements of every client." Domo is similar in effect though different in mechanism: it sells credits consumed by ingestion, ETL runs, storage and AI usage, publishes how credits are burned, but never a dollar value per credit.

Why do some marketing data platforms hide their pricing?

Quote-based pricing is standard for enterprise software and it is not a trick. Cost genuinely varies when a deal includes connector counts, connected ad accounts, data volume, security review and an implementation project. A published number would either be wrong for most buyers or set so high it scares off the ones who would have fit.

The cost lands on you as time rather than money. You cannot put the line item in a budget before you enter a sales cycle, you cannot compare it on a spreadsheet against a published alternative, and the evaluation itself absorbs weeks. There is a second-order effect too: a quote-based platform usually arrives with a procurement cycle attached, so someone on your side has to run security review, legal, and raise and track the purchase order before a single connector is live. Budget for that calendar time, not just the fee.

What do marketing data platforms actually charge for?

Five meters cover almost every vendor in this category. Knowing which one a vendor uses tells you more about your two-year cost than the entry price does.

• Data sources or connectors. Windsor.ai is the clean example: 3, 7, 10 or 14 sources across its tiers, with unlimited users throughout. Add a channel, move up a tier.
• Connected accounts. Coupler.io meters accounts and destinations while handing every plan the full 437-source library, including the free plan. Agencies feel this one first, because each client adds accounts.
• Destinations. Funnel.io Starter includes no export destinations at all; you need Business at EUR 560 a month for the 26 destinations. Supermetrics allows one core destination on every paid tier.
• User seats. Supermetrics allows 1, 2 and 3 users on Starter, Growth and Pro. A team of five is on Pro regardless of how little data it moves.
• Rows or volume. Improvado's Advanced and Enterprise tiers are defined by rows per year, 600M and 1B. Domo's credits burn on ingestion and ETL runs.

Supermetrics is worth singling out because it meters four of the five simultaneously: sources, users, API rows and destinations. That is why teams who compare it on entry price alone are so often surprised by the tier they end up on.

The entry price is rarely the price you pay

Work a normal mid-market stack through the table and the gaps open up. Say you run Google Ads, Meta, TikTok, GA4, Search Console, Shopify and Stripe. That is seven sources before anyone mentions email or a second store.

On Windsor.ai, seven sources puts you on the $99 Standard plan, not the $19 Basic one, because Basic allows three. On Supermetrics, seven sources needs Growth at EUR 159 a month, and if more than two people need access you are on Pro at EUR 399. On Funnel.io, if you want the data exported anywhere at all you are on Business at EUR 560, because Starter carries no destinations. On Coupler.io the source count does not move you at all, since every plan gets the full library, but the account and destination count might.

The pattern holds across the category: the advertised entry tier is sized for a single-channel test, and a real cross-channel stack sits two or three tiers up. When you compare, price the stack you actually run, not the smallest plan on the page.

Do I need a marketing data platform, or just the numbers?

This is the question that decides the purchase, and plenty of teams answer it after they have signed. A data platform earns its cost when the data has to land somewhere else: a warehouse that feeds finance, a BI model shared across departments, a data science workflow, or a governed layer an AI assistant can query. You are buying plumbing, and reliable plumbing is expensive.

If what you need is total spend across every channel, revenue that actually settled in Stripe or Shopify, how many new customers that bought, and the blended ratios between them, you are not buying plumbing. Those definitions barely vary between companies, which is exactly why they can be productized instead of modeled from scratch. A marketing dashboard tool computes them on connect, and blended ROAS explains how the core metric is put together.

A useful test before you book any demo: write down the five numbers your team argues about on Monday morning. If a finished board showing blended ROAS, blended CAC, MER and LTV:CAC would settle all five, then an ETL platform is scope you will pay for and not use. If two of the five need data from a system no marketing tool connects to, you need the pipeline.

How to compare quotes when two vendors will not publish a price

You can still run a fair comparison, it just takes structure. Ask every quote-based vendor for the same three things in writing: the annual figure at your current channel count, what happens to that figure when you add five connected accounts, and what the implementation covers and how long it takes. Those three answers make otherwise incomparable quotes comparable.

Then anchor against something published. Put a transparent vendor in the evaluation, even if you do not intend to buy it, so the quote has something to sit next to. If the quote comes back at ten times the published alternative, that may still be correct, but now you know what the extra scope has to be worth. Our Adverity alternative page covers what a quote-only enterprise platform includes and who genuinely needs it, and the Coupler.io vs Funnel.io comparison shows how differently two published vendors can meter the same work.

Which should you buy?

If you need a warehouse loaded, governed and monitored across dozens of platforms, look at Adverity, Improvado or Funnel.io Business and accept the sales cycle. If you need marketing data moved into Sheets, Looker Studio or BigQuery on a budget you control, Coupler.io and Windsor.ai are the transparent options and Supermetrics is the mature one. If you need company-wide BI beyond marketing, Domo is a different and larger purchase.

If you need to know where the money went, without running a pipeline to find out, that is what MixedMetrics does: read-only connectors to GA4, Google Ads, Meta Ads, TikTok Ads, Search Console, Shopify, Stripe and Klaviyo or HubSpot, blended ROAS, blended CAC, MER, LTV and LTV:CAC calculated on connect, at a flat $79 a month with no meter and no quote. It is attribution-lite rather than multi-touch attribution, it has no warehouse export, and it does not carry a white-label client portal. Where those matter, one of the platforms above is the better buy, and this page is meant to help you tell which.