Services / OS Architecture / MarTech Tool Stacking
OS Architecture
MarTech Tool Stacking
from €13,000
Your tools connected properly, data in your own structure, an infrastructure that scales.
- Deliverable
- A rationalised stack connected in production: fewer tools, wired properly, data in your own structures, switching costs designed out.
- For whom
- Teams running ten or more marketing tools at a third of their utilisation, with per-seat costs climbing.
- Exit
- Built to Leave. You own the architecture, the live integrations and the plan, and run them without us.
Where it sits
The build: it connects and rationalises the tools in production. Data Mapping defines what should flow where first.
When: the stack has become overhead instead of enablement.
How it works
We audit the stack against the Data Mapping blueprint, decide what stays, what goes and where you are locked in, then build the integrations in production so the tools you keep run as replaceable nodes, with your data in your own structures.
What it is
Where Data Mapping tells you what should flow where, MarTech Tool Stacking makes it flow. The average mid-market team runs about ten marketing tools, and utilisation has slid from well over half to roughly a third in five years; what was sold as enablement is now overhead.
We rationalise the stack around replaceable nodes and, unlike a pure audit, do the work in production: tools kept as interfaces, data moved into your own structures, and the integrations actually built and running, not just diagrammed.
What you get
- A stack audit. What is used, what is overhead, and where you are locked in.
- A rationalised architecture. Tools as interfaces, data in your structures, so any one tool can be swapped without a migration project.
- Integrations built and live. The pieces you keep, connected properly and running in your operation, not duct-taped together.
- A switching-cost plan. A path that stays survivable as AI seat-pricing climbs.
How it ends
Built to Leave. You keep the rationalised stack, the live integrations and the architecture decision behind them. Pluggable AI platforms are reasonable at 100 to 200 € per seat and punishing at 500 or 1,000; the answer is replaceable nodes, connected before the bill arrives.
Where this sits in the four phases.
Every service runs through the same method: shadow the live operation, design the architecture, operate with your team, then hand over.
Diagnose in your live operation. Decision logic, data flows, role boundaries. We watch how the work actually gets decided before we touch anything.
Channel logic, audience model, KPI framework, MarTech, workflow. The operating system on paper, agreed with your leadership before we build.
Operate with your team. Forecasting, media buying, automation. Enablement runs in parallel so ownership moves to your people while the system runs.
Attribution, incrementality, business impact. Then the handover cut: documentation, access, and usually the full-time leader we helped you hire.
Runs well with
Start the conversation on MarTech Tool Stacking
No cart, no checkout. You tell us the situation, an operator reads it, and we come back with scope and price.
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