Most marketing teams do not have a tooling problem — they have an architecture problem. We audit what you own, remove overlap, and produce a costed roadmap you can act on.
MarTech stacks are rarely designed. They accumulate — a tool per campaign, a platform per leadership change, an integration per emergency. Within a few years the organisation is paying for overlapping capability, moving data by CSV between systems that each claim to be the source of truth, and unable to answer basic questions about performance without a week of manual work. Consulting here is not slide decks: it is architecture, sequencing and hard decisions about what to retire.
We work as a technology and strategy partner, not an agency selling retained execution. The deliverables are decision-grade: a documented current state, a target architecture, a costed roadmap and the implementation sequencing to get there — with the analysis behind every recommendation shown.
A full inventory of what you own, what it costs, who uses it and what it actually does, mapped against the capabilities the business needs.
Vendor evaluation run as a structured process against your weighted requirements, with scripted demos and reference checks — not a preference we hold.
Integration architecture that defines the source of truth for every entity, so the same customer means the same thing in every system.
How campaign logic, data and orchestration should be layered so the system stays maintainable as the team and program count grow.
A measurement foundation that finance and marketing can both defend, built on a warehouse rather than on the reporting screen of whichever tool is loudest.
Where AI belongs in the stack, what data it may touch, which vendors are acceptable and how quality will be measured before anything reaches customers.
A sequenced plan with dependencies, owners, effort estimates and decision points, written so it survives contact with budget cycles.
You receive an inventory of every tool, what it costs, who owns it, what data flows in and out, and where two systems do the same job. Overlap is where most recoverable budget sits.
We favour a single source of truth for identity, event-based integration over nightly file drops, and reversible decisions over long lock-in contracts.
Typical situations where teams bring us in for this work.
A major contract is up in ninety days and nobody can say whether the platform is delivering value. We produce the evidence to negotiate or replace.
Two stacks, two CRMs, two definitions of a customer. We define the target architecture and the migration sequence.
A team that outgrew manual process needs an architecture that will hold for the next three years, not another point tool.
When the numbers are disputed in every meeting, we rebuild the measurement foundation and the governance around it.
An honest view of whether your data and processes can support the AI programme leadership has already announced.
The same delivery method every engagement follows — see our full process for more detail.
Stakeholder interviews across marketing, sales, data and finance, plus direct access to the systems themselves.
Documented inventory, data flows, cost base and capability gaps — evidence rather than impressions.
A designed end state with the reasoning, trade-offs and rejected alternatives written down.
Sequenced phases with dependencies, effort, cost and the measures each phase is accountable to.
We help you socialise and defend the plan internally, including the business case for the parts that cost money.
Optional ongoing architecture governance, vendor management or hands-on implementation through our delivery teams.
We are vendor-neutral. These are the platforms we work with most often on this service.
Ad platform numbers, GA4 and the finance report disagreed by a wide margin each month, so channel budget decisions were being argued rather than decided.
Read the case study SaaSInbound demo requests were triaged by hand in a shared inbox. Follow-up took over a day on average and sales had no consistent definition of a qualified lead.
Read the case studyNo. We take no vendor commissions, so recommendations are based on fit and total cost of ownership only.
Yes. Consulting engagements are frequently run alongside an existing delivery agency, with us owning architecture and them owning execution.
Performance, SEO, security and AI-readiness scoring in one run.
What makes an engineering-led MarTech partner different.
Challenge, architecture, stack and measured results from real engagements.
Our discovery-to-optimization delivery method, step by step.
Automated lifecycle, lead flow and CRM operations
ServiceTracking, attribution and reporting you can trust
ServiceAI applied to segmentation, content operations and decisioning
SolutionClean data, automated handoffs, trustworthy pipeline
A stack assessment gives you the inventory, the architecture and the sequencing to make renewal and investment decisions with evidence behind them.
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