— Strategy & Research

Market entry opportunity map

Scores each sub-segment of a target vertical on attractiveness against accessibility using live market signals, then recommends the beachhead and a 90-day plan with the first ten accounts.

  • Strategy & Research
  • Traceable reasoning
  • Runs anywhere
Preview methodology

2–3 weeks → ~15 minutes

Including the external research pass

No coding required

Input
Target vertical
Output
Sub-segment scorecard covering attractiveness and accessibility
Runs in
Skillsize · ChatGPT · Claude · Copilot
Export
SKILL.md · MCP
Time saved
~2–3 weeks per run

— USE CASES

What people use Market entry opportunity map for

Choosing a market beachhead

Identifies the most promising entry point within a target vertical, with a clear rationale for its attractiveness and accessibility relative to the alternatives.

Comparing competing growth options

Provides a sub-segment scorecard and tiered opportunity map that make market-entry trade-offs explicit. Gives stakeholders a shared basis for prioritising commercial effort.

Shaping an entry mandate

Supports a market-entry recommendation with current research and signals from funding, hiring, leadership changes and M&A activity. Connects the strategic case to a 90-day go-to-market plan and ten initial target accounts.

Focusing early commercial effort

Defines a practical 90-day go-to-market plan around the recommended beachhead, with ten target accounts to give business development a specific market focus.

What it works from

  • Target vertical
  • Sub-segments under consideration
  • Current market research
  • Funding, hiring, leadership-change and M&A signals

What you get back

  • Sub-segment scorecard covering attractiveness and accessibility
  • Tiered market-entry opportunity map and roadmap
  • Recommended beachhead with supporting rationale
  • 90-day go-to-market plan

— HOW IT BEHAVES

How Market entry opportunity map produces its result

The mechanics behind this specific template — what it reads, what it calculates, and where a human stays in the loop.

Live research on the pipeline in scope

Current external sources on the pipeline in scope are researched during the run rather than recalled from training data, and every source travels with the output.

Composed as work product

Findings on the pipeline in scope are written up as a document that reads like professional output, with each claim tied back to a account.

Criteria-based analysis of every account

Each account is assessed against explicit criteria you control, so the same standard is applied across the pipeline in scope on every run.

Why this is expensive by hand

Market-entry decisions often rely on broad sector narratives that obscure meaningful differences between sub-segments. Choosing a market beachhead is the typical trigger — identifies the most promising entry point within a target vertical, with a clear rationale for its attractiveness and accessibility relative to the alternatives. Done properly it is defensible; done at pace it becomes a judgement call nobody can retrace. And "properly" usually means 2–3 weeks of manual work.

How this Skill produces it

Here the same job runs as a Skill. Your material goes in; sub-segment scorecard covering attractiveness and accessibility comes out, alongside tiered market-entry opportunity map and roadmap. What sits between input and output is the codified method: thresholds, sequencing and the points where a human confirms a call — all of it visible and editable in the Skill. Net effect: 2–3 weeks down to ~15 minutes, no drift between runs, and every conclusion traceable back to the evidence behind it.

Who it's for

  • Strategy and corporate development teams
  • Consultants producing evidence-led recommendations
  • Founders and executives testing new directions
  • Anyone who has to cite what they claim

Run it in Skillsize — or export it anywhere

Market entry opportunity map exports as a structured SKILL.md file and is MCP-ready, so the same method runs in ChatGPT, Claude, Copilot or your own AI products. Adapt it to your methodology, and the intelligence stays yours — not locked to one vendor.

ChatGPTClaudeCopilotAI Products (MCP)
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