Centralized Data Platform · Marketing
Know what every euro of ad spend brought back.
Campaign, ad platform, CRM, and revenue data land in one place — ask a question in plain language and the answer comes back as a dashboard, instantly.
Built on the same architecture we run in production for a client's company-wide data platform.
Your results are real. Proving them is the hard part.
The numbers that describe your marketing live in different tools that don't talk to each other: spend in the ad platforms, leads in the CRM, behaviour in analytics, revenue in finance's system. None of them alone can answer the questions you're actually asked — what did acquisition really cost, which channel drove the revenue, which campaign should get next month's budget.
So every reporting cycle someone exports, pastes, and stitches. By the time the spreadsheet is assembled, the campaigns have already moved on.
What manual stitching really costs
Budget decisions run on stale numbers
When attribution takes days to assemble, spend is reallocated based on last month's picture — or on gut feeling, because the picture never arrived in time.
Every meeting starts with a numbers debate
When the ad platform, the CRM, and finance each tell a different story, the discussion becomes whose figure is right — instead of what to do next. That erodes trust in marketing's numbers exactly where budget is decided.
Your best people do copy-paste work
The team members who should be running experiments spend their hours rebuilding the same report by hand, every cycle, forever.
One place where the answer already exists
The Centralized Data Platform connects every system that touches your funnel — ad platforms, CRM, analytics, the revenue system — into one continuously updated hub where the figures already agree with each other.
On top of it sit AI agents your team can question in plain language: "What was our acquisition cost per channel last quarter?" comes back as a live dashboard in seconds, not as a spreadsheet project. Marketing walks into the budget meeting with numbers nobody in the room can dispute.
Curious what this looks like for your team?
Book a free 30-minute callHow it works
Under the hood this is serious data engineering. Every system you already run feeds one governed pipeline — and what comes out the far end is the question you asked, answered.
Bronze
Faithful copy of every source — the audit trail
Silver
Cleaned, standardized, deduplicated
Gold
Business-ready warehouse (star schema)
MCP
Your AI agent asks — a dashboard comes back
We've already built this — and it runs in production
This platform is not a concept. We designed, built, and operate this exact architecture for a client today: a company-wide data hub that ingests their business systems into clean, auditable layers, and lets their team ask questions in plain language and get dashboards back through AI agents. The client is not named here — it is their platform, not our case study.
The kind of output your team gets — illustrative examples, not client data
What your team asks it on a normal Tuesday
Cross-platform campaign attribution
Spend from every ad platform joined with CRM outcomes and revenue — which campaigns actually produced customers, not just clicks.
A live acquisition-cost and return dashboard
Acquisition cost and return on ad spend per channel, updated continuously instead of rebuilt monthly by hand.
Customer segmentation across every touchpoint
Segments built from behaviour, purchase history, and campaign response together — so the next campaign targets people, not channel averages.
Sound like your Tuesday? Let's fix it.
Book a free 30-minute callQuestions we always get
- Does this replace our analytics and ad tools?
- No — it sits on top of them. Each tool keeps doing what it's good at; the platform joins their data so questions that span tools finally have one answer.
- Who can see our data? Where does it live?
- The platform is deployed in an environment you control, not a shared multi-tenant product. Access is role-based: each person and each AI agent sees only the data they are allowed to see. Every number stays traceable to the source system it came from, so you can always audit where a figure originated.
- How much work is this for our team?
- We connect to the systems you already run through their standard interfaces — nothing has to be replaced and nobody has to change how they work day to day. Your team's involvement is telling us which systems matter and checking that the numbers coming out match reality.
- We don't have a data team. Is that a problem?
- It's the exact situation this is built for. We design, build, and run the platform; you get the output — trusted numbers and instant answers — without hiring data engineers first. If you later grow an internal team, they inherit a documented, well-structured platform instead of starting from zero.
Not your department? Pick yours on the Data Platform overview →
Show up to the next budget meeting with numbers nobody disputes
Tell us where your marketing data lives today, and we'll walk through what one connected view of it would look like — in a free 30-minute call.