Enterprise-grade from day one
Live from the first day, and portable later to any system. No vendor lock-in to Jourier: take the code, the schema and the models and run them yourself.
Spend & conversions
Marketing
Ad spend and site traffic side by side, on one conversion definition. Every platform counts conversions its own way, so the totals never add up to your actual sales.
Portable technical infrastructure to any cloud.
A production-ready foundation designed to scale. Plug in pre-built modules for common workflows, or build your own on top.
Hosted in Finland
Data and AI run in a Finnish data centre. UpCloud in Helsinki, and Mistral trained with CSC on the LUMI supercomputer in Kajaani.
Enterprise modular architecture
Scales to any level, from a new startup to a large enterprise. Build your own modules, or change the ones that ship.
The stack behind the unicorns
Talos Linux, Kubernetes and Cilium. GitOps deployments, a separate database per customer, automated security controls and self-healing.
The views ship with the product
Connect your systems and they fill with your own numbers. There is no modelling project to sit through first.
The double-count
Why platform totals never add up
Each platform reports on its own attribution window and claims the same conversion. Jourier restates them on one definition first, so cost per lead is comparable across channels instead of merely available on each.
- Google Adsown window
- LinkedIn Adsown window
- Microsoft Adsown window
- Google Analytics 4session-based
- Jourierone definition
In the product from day one
- Spend, clicks and conversions per account
- Cost per lead comparable across channels
- Site analytics beside the ad data
- One conversion definition, applied everywhere
- Channel mix over time
- Campaign-level margin where revenue is connected
- Scheduled email reports
- An AI analyst over your own spend
Three ad platforms, and everything else you run
Each has its own page with the credentials it needs and what Jourier reads from it.
Marketing API
One API over your spend and everything else
Jourier serves campaigns, spend and conversions as modelled JSON on one endpoint, with the conversion definition applied before the numbers are served rather than after.
- Campaigns, spend, clicks and conversions as first-class objects
- One conversion definition across every platform you connect
- Read-only against your ad accounts; nothing is written back
# cost per lead by channel, this month GET /v1/marketing/cost_per_lead?period=2026-08 { "as_of": "2026-08-16T06:12:00Z", "rows": [ { "channel": "LinkedIn", "spend": 4820, "leads": 37, "cpl": 130.3 } ] }
Marketing MCP
Ask Claude about your own spend
Model Context Protocol is how an AI assistant calls a real tool instead of guessing. Jourier exposes your ad accounts as MCP tools, so Claude answers from the spend record rather than from a plausible sentence about it.
Every answer resolves to rows you can open. The model retrieves; it does not compute the number, which is the only reason the answer is worth having.
- Works with Claude Desktop, Cursor, and any MCP-compatible client
- Scoped to what that user is allowed to see
- Self-hosted models available, so your spend data never leaves the EU
You Which channel actually produced qualified leads last month? Claude Two did. The third counts a view as a conversion, so it looked best.
Where the data lands
Marketing data in the tool you already use
Each has its own setup page: what syncs, how often, and what the schema looks like on arrival.
One product, one platform
Behind it is a full platform. EU-hosted in Finland, built on open components, portable by construction. None of it depends on staying a Jourier customer.
Sovereignty
Finnish hosting, Finnish AI
Your data stays in Finland, on EU infrastructure, under EU law. The AI that reads it is self-hosted, so your ledger is never a US vendor's training material.
The platform ArchitectureSelf-hostable Kubernetes
Standard Kubernetes, open components. Take the manifests and run it on your own cluster whenever you decide to. No proprietary runtime holding you in.
The platform AtlasCompany intelligence
Every registered Finnish company: financials, ownership, lifecycle and public procurement. Find buyers who look like your best customers, and tenders you can bid on.
Company Atlas MonitoringWatch what moves outside
Continuous external monitoring on independent scopes: supply chain, competitors, and how visible you are to AI assistants. It tells you; you don't go looking.
MonitoringMarketing, answered
Which ad platforms does this work with?
Google Ads, LinkedIn Ads and Microsoft Ads have their own connectors, with Google Analytics 4 optional beside them. Each has a page describing what it reads.
Why do your numbers differ from the platform’s?
Because the platform counts on its own attribution window and Jourier restates every channel on one definition. That is the point: the platform totals are each internally consistent and mutually incomparable.
Can I keep using the platform dashboards?
Yes. Jourier reads rather than replaces. The platforms keep reporting their own way; Jourier is where the channels become comparable.
Does Jourier change anything in my ad accounts?
No. The connection is read-only. No budgets, bids or campaigns are touched.
Where is the data stored?
In Finland, on EU infrastructure, under EU law. The AI that reads it is self-hosted.
Can I run it on my own infrastructure?
Yes. It is standard Kubernetes built on open components.
Can I see cost per lead against actual revenue?
Where a CRM or accounting system is also connected, yes. That join is the reason the products share one modelled layer rather than sitting side by side.
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