Adverity pricing
Adverity pricing: what Adverity costs, what drives the quote, and what the priced platforms charge
Adverity is one of a small group of marketing data platforms that has never put a number on a page. There are no tiers, no entry price, no per-connector rate and no calculator. You fill in a form, you get a call, and you get a figure that was built for you.
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Figures are illustrative. Your own stack connects read-only.
That is not evasion, and it is worth understanding before you decide it is. Adverity sells into enterprise marketing teams and large agencies, where a deal genuinely is bespoke: 600+ connectors, ad account counts in the hundreds, data volumes that change the infrastructure bill, and an implementation that runs for months. A published ladder would be wrong for most of the customers it would attract.
The practical problem is that it leaves you unable to budget. So this page does the next best thing. It sets out what Adverity does publish, what its own quote form asks for and therefore what moves the number, why the third-party estimates you will find contradict each other by two orders of magnitude, and what every comparable platform that does publish a price actually charges. Everything here was read off adverity.com and the vendor pricing pages in September 2026.
The short answer
Adverity does not publish any prices or plan tiers. Every customer gets a bespoke quote, and the quote form on adverity.com asks for four things that set it: which product you want (Connect or Atlas), your annual marketing spend, whether you already run a data warehouse, and your country. Public third-party estimates range from roughly $500 a month to $200,000 for a twelve-month enterprise contract, and that spread is the honest answer: there is no single Adverity price to quote. Adverity states it directly on its own pricing page: "Because every customer is different we do not stick to rigid pricing plans."
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Why it works
What you get with adverity pricing
There is no published price
No tiers, no entry point, no per-connector rate. Adverity states on its own pricing page that it does not stick to rigid pricing plans and provides a fully customized quote instead. Any article printing a confident Adverity price list is either inventing it or repeating a single deal from years ago.
Four inputs set your quote
The form asks for product (Connect or Atlas), annual marketing spend, whether you already have a data warehouse, and country. Annual marketing spend is doing most of the work, which is the same value-based model Funnel uses openly on its measurement product.
The warehouse question is the real fork
Adverity Connect moves and harmonizes data. Adverity Atlas is a knowledge layer that sits on top of a warehouse. If you have neither a warehouse nor an analyst to run one, you are pricing a pipeline to nowhere, and the category you actually want is finished dashboards.
What it covers
Connect, blend, and see what is driving revenue
MixedMetrics turns scattered platform numbers into one blended read-out of ROAS, CAC, MER, and revenue, with AI that flags where spend is leaking.
- Understand why Adverity publishes no prices and what it says instead
- See the four inputs the Adverity quote form uses to build your number
- Compare 9 marketing data platforms that do publish prices, verified September 2026
- Work out whether you need an enterprise ETL platform or a finished dashboard
- Avoid the contradictory third-party Adverity cost estimates, and understand what causes them
AI insight
What changedTikTok is carrying ROAS at 4.8x while Meta CAC crept to $41. Shift budget to recover efficient revenue.
Illustrative figures showing the layout · not a customer account
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Blended ROAS, CAC, MER, LTV, and revenue by channel in a single live view, instead of eight platforms claiming the same conversion.
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The insight layer reads the blended data and tells you what changed and where spend is leaking, before the month closes.
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Compare
What Adverity publishes about price, read off adverity.com in September 2026
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| Question | What Adverity publishes |
|---|---|
| Entry price | None published |
| Plan tiers | None. No named packages carry a price |
| Per-connector rate | None published |
| Free plan or trial | None published |
| Self-serve checkout | No. A quote form, then a sales conversation |
| Contract length | Not published. Enterprise platforms in this group are normally annual |
| Stated reason | A fully customized quote per client, no rigid pricing plans |
| Connectors marketed | 600+ actively maintained marketing connectors |
Compare
What the Adverity quote form asks for, and why each field moves the number
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| Field on the form | Why it changes the price |
|---|---|
| Product of interest: Connect or Atlas | Two different products. Connect is the ETL platform, Atlas is a knowledge layer over your warehouse |
| Annual marketing spend | Value-based pricing. Bigger media budgets pay more for the same pipeline |
| Data warehouse status | Decides whether you need Connect alone, Atlas alone, or both plus an implementation |
| Country | Region, currency and which sales team owns the deal |
| User role | Routes the conversation. A CMO deal and an analyst deal get scoped differently |
| Company name | Firmographic sizing before the call |
Compare
Marketing data platforms that do publish a price, read off each vendor pricing page in September 2026
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| Platform | Entry price published | Top published price | What it meters | Price on the page |
|---|---|---|---|---|
| Adverity | None | None | Quote only | No |
| Domo | None | None | Consumption credits | No |
| Improvado | $0 Free Limited, then $100 a month MCP Only | Advanced and Enterprise are quoted | Rows per year and MCP actions | Partly |
| Funnel | EUR 280 a month billed annually | EUR 560 a month billed annually, Enterprise quoted | Connectors and destinations | Yes |
| Supermetrics | $44 a month billed yearly | $177 a month billed yearly, Enterprise quoted | Data sources and users | Yes |
| Coupler.io | $0 Free, then $24 a month billed annually | $199 a month billed annually, Agency quoted | Accounts, destinations and refresh rate | Yes |
| Windsor.ai | $19 a month billed annually | $499 a month billed annually | Data sources, unlimited users | Yes |
| Databox | Free, then $71 a month billed annually | $319 a month billed annually | Data sources by tier | Yes |
| Klipfolio Klips | $120 a month billed annually | $600 a month billed annually | Dashboards and users | Yes |
| MixedMetrics | $79 a month | $449 a month, Enterprise quoted | Connected sources and seats | Yes |
Compare
Adverity Connect and Adverity Atlas, as Adverity describes them
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| Product | What it is | What it assumes you already have |
|---|---|---|
| Adverity Connect | Enterprise marketing ETL: extraction, continuous monitoring, marketing-specific harmonization and a transformation layer | Somewhere to send the data, and someone to model it |
| Adverity Atlas | A marketing knowledge layer that gives AI a governed understanding of what your marketing data means | A data warehouse. Atlas sits on top of one |
In depth
Adverity pricing, worked through the way a buyer actually has to budget for it
How much does Adverity cost?
There is no published answer, and anyone giving you one with confidence is guessing. Adverity does not list an entry price, a tier ladder or a per-connector rate anywhere on its site. It sells a quote built for your organization, and the only honest thing to say about the number is what drives it.
The third-party estimates you will find illustrate the problem rather than solving it. Directories and competitor blogs currently quote "from $500 a month", "around $2,000 a month for all connectors", "annual contracts from around $30,000" and "approximately $200,000 for a twelve-month enterprise contract". Those are not four readings of one price. They are four different customers, and possibly four different years. We will not repeat any of them as fact, because none of them came from Adverity.
What you can budget against is the shape of the purchase. Adverity sells to enterprise marketing teams and large agencies, it markets 600+ connectors, and its deployments are scoped projects rather than signups. Whatever your quote says, it will sit in the same band as other enterprise marketing data platforms, and it will be an annual commitment rather than a monthly card charge.
Why does Adverity not publish pricing?
Because it prices on value rather than on units, and the value varies enormously between customers. Adverity says as much on its own pricing page: "Because every customer is different we do not stick to rigid pricing plans. Instead, we provide a fully customized quote, uniquely tailored for the needs and requirements of every client."
You can see the mechanism in the form itself. It asks for your annual marketing spend before it asks anything technical. A brand running $2m a year of media and a brand running $200m a year can need the same connectors at the same refresh rate, and they will not pay the same. Funnel does the same thing openly on its measurement product, where the price is set by a monthly ad spend band rather than by data volume.
The trade-off is real in both directions. Value pricing means a smaller team is not subsidising an enterprise deployment, which is fair. It also means you cannot compare Adverity against a shortlist without entering a sales cycle, and for a lot of mid-market teams that alone ends the evaluation at the research stage.
What determines your Adverity quote?
Four fields on the quote form do most of the work: which product you want, your annual marketing spend, whether you already have a data warehouse, and your country. The rest of the form is routing.
Annual marketing spend is the headline input and the one to prepare for. Have a defensible number ready, including the channels you expect to add, because it anchors the whole conversation. The data warehouse question is the one people answer carelessly and regret, since it decides whether you are buying Connect, Atlas, or both plus an implementation project on top.
Beyond the form, the levers that move enterprise marketing ETL quotes are consistent across the category: connector count, the number of ad accounts behind each connector, data volume and refresh frequency, how many people need access, and whether the vendor services team builds your models. Ask which of those are metered and which are flat. A quote that is flat on accounts and metered on rows behaves very differently in year two.
What is the difference between Adverity Connect and Adverity Atlas?
Connect is the pipeline. It extracts from 600+ marketing sources, monitors the feeds continuously, harmonizes marketing-specific fields such as campaign naming and currency, and transforms the result before it lands somewhere. That somewhere is normally your warehouse or BI tool.
Atlas is the semantic layer above it. Adverity describes it as a marketing knowledge layer that "gives any AI a clear understanding of what your marketing data actually means", which in practice means governed metric definitions, so an AI assistant or a new analyst cannot invent its own version of blended CAC.
The distinction matters for pricing because they are quoted separately and the form makes you choose. It matters more for scoping: Atlas assumes the warehouse already exists. If it does not, Atlas alone solves nothing, and you are looking at Connect plus a warehouse project plus modelling before anyone sees a chart.
Do you need a data warehouse to use Adverity?
For Atlas, yes, by design. For Connect, not strictly, since it exports to BI tools and other destinations, but the product is built on the assumption that the data is going somewhere to be modelled and visualized rather than being the finished answer.
This is the fork worth being honest with yourself about. An enterprise ETL platform pays for itself when you have an analytics team, a warehouse, governance requirements and dozens of ad accounts whose fields genuinely disagree with each other. It does not pay for itself when what you need is to see whether last month made money.
If you are in the second group, the category to price is finished dashboards rather than pipelines, and those nearly all publish their numbers. We set the field out with real figures on marketing data platform pricing, and compare the closest priced ETL tool against Adverity head to head on Coupler.io vs Adverity.
Which marketing data platforms publish their pricing?
Most of the mid-market does, and two of the enterprise names do not. Funnel publishes EUR 280 and EUR 560 a month billed annually for Starter and Business. Supermetrics publishes $44 and $177 a month on yearly billing. Coupler.io publishes $24, $99 and $199. Windsor.ai runs $19 to $499. Databox starts at $71. Improvado now publishes a $0 Free Limited tier and a $100 a month MCP Only tier, then goes quiet for Advanced and Enterprise.
Adverity and Domo publish nothing. Domo at least names its model, consumption credits, without attaching a rate to it. Adverity does not publish a model either, only the statement that it quotes per client.
The useful read is not that published pricing is better. It is that a published price tells you which meter you are buying on before you spend a month in procurement. If a vendor meters connectors and you have three connectors behind fifty ad accounts, you win. If it meters rows and you run a large catalog, you do not. That is the question to answer first, and for most of this list you can answer it in an afternoon.
Is Adverity worth it for a mid-market marketing team?
Usually not, and the price is only part of the reason. The bigger issue is that Adverity solves a problem mid-market teams rarely have. Its value is governance and harmonization at a scale where the same campaign is named five different ways by four agencies in three currencies. Below that scale, harmonization is a morning of work in a spreadsheet, not a platform purchase.
The second issue is what you still have to build afterwards. Connect delivers clean, joined data. It does not hand you blended ROAS, blended CAC, MER or LTV:CAC on a board. Somebody still has to model those, build the visuals and maintain them, and that person is usually the reason the project stalls in month four.
We are in a different lane and would rather say so than pretend to be an Adverity replacement. MixedMetrics does no warehouse export, no media mix modelling and no enterprise data governance. It connects Google Ads, Meta, TikTok, GA4, Search Console, Shopify, Stripe and Klaviyo or HubSpot read-only, and returns blended ROAS, blended CAC, MER, LTV and LTV:CAC on one live board from $79 a month, with the AI layer that flags where spend is leaking on Growth at $199. If the honest version of your requirement is "show me whether the money is working", start at cross-channel marketing analytics. If it really is enterprise ETL, the shortlist lives on Adverity alternatives.
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