M·A mark microanalytics

A martech stack your AI agents
can actually run on.

AI agents fail on the data underneath them, not the model. I pick, sequence and connect the martech tools that feed them clean, consent-aware data — vendor-neutral, no reseller margin, then documented and handed to your team.

— the masterplan
the market — 15,505 tools ~1,500 born · ~1,400 gone / yr SITE BOUNDARY — YOUR STACK D D ADJUST TEALIUM IAS I I I MEASUREMENT FOUNDATION wired below street level — day one, consent-aware poured first — everything else lands on it CDP EMAIL II II approved — not yet bought NOT BUILT second tool, same job — an invoice, not a capability what never AI AGENTS III on clean data only PHASE I — NOW PHASE II — +12 MO PHASE III — +24 MO the buying order — what now, what waits, what never handover — documented, yours ±0.00 OK GOAL ROAS WAIT WAIT NO NOT YET MARTECH STRATEGY & SETUP PHASING D–D · 1:200 · REV 01 · 2026 VENDOR-NEUTRAL — NO RESELLER MARGIN

What you gain

You pay only for what you use

Dead licences and overlaps get cut — two tools doing the same job is an extra invoice, not an extra capability. Rationalization programs report 15–40% spend reduction; your number depends on your stack.

Your reports finally tell the same story

When GA4, ad platforms and the CRM are wired together properly, you stop opening meetings by explaining why three reports show three different numbers.

You get a clear buying order

A sequenced 12–24 month roadmap: what to buy now, what can wait, what not to buy at all. The next vendor who calls gets “we already have a plan” — not a meeting.

The foundation is right from day one

Measurement (GA4, GTM, server-side GTM, BigQuery) is built consent-aware — GDPR and Consent Mode v2 from the start, not as a later repair.

You stay independent

The stack is documented and handed to your team. You can change a tag, a tool or a consultant without anything collapsing.

Who it’s for

For marketing, e-commerce, performance media and product decision-makers at mid-sized and large companies.

The people who approve the tools, own the reporting, or answer for the spend — and want a stack that earns its invoice.

What about AI?

In 2026, every vendor is selling you “AI”. The measured reality, per Gartner:

45% of martech leaders say the AI agents they bought don’t deliver what was promised — and half of organizations don’t have the data foundation ready for them.
Source: Gartner, 2026

An AI agent sitting on top of wrong data automates the mistake. That’s why the roadmap puts the measurement foundation before any AI purchase — so when you buy, you buy on clean data.

What you get

— current state

A map of your current stack

What tools you have, what’s actually used, and what you pay for nothing.

— target

The target architecture

What the right stack looks like for your goals — drawn and explained.

— sequence

A 12–24 month roadmap

Sequenced: what you buy now, what waits, and what gets cut.

— procurement

A vendor shortlist with justification

Vendor-neutral, comparable, and ready for procurement.

— and, if you want, we build it

A phased implementation plan

The plan your team can run — and, if you want, the implementation itself, with your team.

— Talk to us

Audit. Measure. Decide.

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