
Advisory
A family-owned engineered-products manufacturer
Industrial manufacturing, with several group businesses
Branding for both customers and employees at a multi-business industrial group, with a LinkedIn competitor mapping against European peers and a review of the agency scope for a new site.
Nothing was measured after delivery. No one set up the measurement, so the honest answer is that the outcome is unknown.
The problem
A long-established industrial group with several businesses had no single website that spoke to both of its audiences at once. Customers needed a reason to choose it over European competitors. Employees, and the people it wanted to hire, needed a reason to join a family-owned manufacturer rather than a multinational. Those two stories are usually written by different people and then contradict each other.
What I did
I took a discovery meeting covering branding for employees and customers, competitors, and customer outreach.
I produced a LinkedIn competitor-mapping deck comparing peers on followers, engagement, and cost-per-thousand-impressions bands, so the group could see what reach in this category actually costs before committing a budget to it.
I also reviewed the agency scope and the page-count deliverables for the proposed new site, which is where that kind of project is usually won or lost. A page count agreed before the information architecture is a schedule, not a scope.
What came of it
No outcome was measured. The work was advisory, and I do not have figures on what the group built afterwards.
Other advisory work
- MetaDecrypt AI AtlasStrategic advisor on marketing and AI strategy to a UAE advisory firm, and owner of the work that designed and built its public site and launched its flagship summit.
- Swayam PlusA data audit, learner segmentation and interactive dashboards for a government-backed learning platform, asking where learners and value move between the platform and its course partners.
- A lending-software vendorWhere small language models fit in loan origination software whose customers require that data stays in their own environment, and why the first thing to build is the measuring instrument, not the model.
Have a problem worth measuring?
I take a small number of advisory and build engagements each year.