The business had deep expertise in customer data, privacy and consent, but its commercial conversation centred on marketing technology: which platform to choose, how to configure it and how to improve the marketing stack.
That placed it with marketing buyers, competing for marketing budgets. Work could be deferred until another project finished or next year’s funding became available. Growth had stalled.
They had the expertise. The market had moved, and their commercial model hadn’t.
Discover: we discovered the primitive
Beneath the martech offer was a more powerful capability: understanding what customer data a business holds, what it can lawfully do with it, and how to put that knowledge to work.
We revealed that value and built a new commercial direction around it, connecting their capability to executive decisions, governance budgets and pressing business problems.
That opened a different discussion:
What customer data do we hold, and are we entitled to collect and use it?
Where are we exposed through consent, sharing and third party platforms?
Can leadership demonstrate that appropriate controls are in place?
What data does the business need to move into AI, and what can it lawfully use?
These questions brought the expertise into governance, risk and executive decision making.
Engineer: change the buyer, budget and reason to act
We reframed the offer around customer data governance, compliance and readiness for AI.
The intended conversation moved from marketing platform selection to executive leadership and board accountability. The budget case moved from a discretionary marketing improvement to addressing business exposure and establishing the controls needed to move forward.
Regulatory pressure became part of the reason to act. The language, buying process and proposed outcomes changed with it: understand the exposure, establish priorities, fix the problems and maintain oversight.
Build & Activate: create a way in and a path forward
We designed gateway assessments that a buyer could understand and commission. Each would uncover specific problems, explain their commercial significance and establish the next decision.
The proposed engagement path connected assessment to remediation, implementation and ongoing governance where required.
We also redesigned the sales approach around the new offer: different decision makers, different qualification questions, clearer deliverables and a more deliberate progression from an initial conversation to substantive work.
Operate: connect the offer to continuing responsibility
The operating plan set out account ownership, pipeline reviews, delivery responsibilities and ongoing governance services. This gave the proposed commercial model a practical structure for execution and refinement.
What changed
Discovering the primitive gave the business a clearer view of the value it already held and a direction for taking it forward.
We connected its knowledge and expertise to a more consequential business need, executive decision makers, a different budget rationale and clearer reasons to act. Then we designed the gateway offers and sales approach to support that direction.
The documented output was a redesigned commercial proposition, gateway offers and a sales and operating plan. Revenue and implementation outcomes are not reported here.
Does your expertise solve a bigger problem than your current buyers recognise? Start a conversation with Capital Primitive.
