Make IT Future — Buyer Persona Intelligence

The five people who decide whether Make IT Future wins, mapped.

Five buyer personas — from the COO drowning in "human middleware" to the innovation lead whose AI pilots keep failing — each researched across role, pains, KPIs, budget authority, objections, triggers, the questions they ask AI assistants, journey and competitive context.

How to read this. These dossiers are a strong first pass built entirely from external, public data — the same starting point any persona programme begins from. They sharpen considerably once Make IT Future's own first-party evidence (client interviews, win/loss notes and product telemetry) is folded in. Nothing here is a guarantee; everything here is checkable — every figure is cited to its source.
5Personas researched
78Cited sources
82,000Words of research
15Matrix cells
The personas

Five buyer personas

The wider space

These five ladder into a much larger matrix

Role families crossed with company size — plus vertical and geography. Here is that frame, with today's five researched personas plotted as worked examples. The dark cells are built; the rest is the scope a full programme fills in, on Make IT Future's data.

Verticals covered: digital agencies · B2B / professional services · SaaS & tech · e-commerce · manufacturing services. Geographies: UK (primary) · DACH · France.

Commercial hooks

Undefended queries

High-intent searches with meaningful UK volume and near-zero difficulty where Make IT Future currently has no ranking asset (or only a weak one). Each links to the persona it serves. Volumes measured via the keyword-research data source, UK, July 2026.

Putting these to work

How your team uses these persona files

01

Cards into briefs

Drop the ~350-word persona card at the top of every content or campaign brief so each piece is grounded in one buyer's pains, vocabulary and priority queries — no re-research.

02

Battlecards into calls

Sales opens the print-ready battlecard before a discovery call: the defining quote, budget line, objection counters and three questions to ask are built for the conversation.

03

personas.json into the pipeline

The machine-readable corpus feeds keyword clustering, content calendars and campaign planning. Every persona carries a version, so content can cite exactly which persona it was built for.

04

Refresh & enrich

Re-run quarterly to keep statistics and competitor pricing current. When you have interviews or win/loss notes, fold them in — sections upgrade from researched to first-party and confidence rises.

Method & sources

How this was built

1. Intake

Consolidated Make IT Future's existing persona set, business KB and live brand.

2. Deep research

Six structured research passes (five personas + market), UK-focused, 2025–26 evidence.

3. Search grounding

Live UK keyword volumes & difficulty; undefended-query gap analysis.

4. Synthesis

One machine-readable corpus; every section graded for provenance.

5. Verification

Sensitive claims confirmed against primary sources or excluded; links checked.

This report was prepared by Whitehat SEO Ltd (Helium 42) for Make IT Future. It is built from public, external data only — no Make IT Future-internal information beyond the supplied persona brief and public website has been used.

Personas built this way are a strong first pass, not a finished truth. The step that makes them dependable is triangulation against Make IT Future's own interview and customer evidence — folding that in is a defined next step, not something this report claims to have done.

Figures are reported as their sources state them, with dates. No outcome, ranking or performance guarantee is made or implied anywhere in this document.

Persona portraits are AI-generated illustrative composites created for this report. They depict archetypes, not real individuals.

Every figure in this document is cited to its source. Ask us to show the working — we like that question.

Source library