Does it support languages other than English?

Yes, it detects the language setting in your portfolio configuration and generates all user-facing content, including pain points and criteria, in the specified language (e.g., German).

How are the generated profiles validated for quality?

Profiles undergo a 'Closed Loop' review where specialized agents evaluate the content from the perspectives of a Procurement Officer, a Chief Sales Officer, and a Market Expert.

What data does this skill use to create customer profiles?

It synthesizes data from your local project files, including portfolio.json, market definitions, competitive analysis, and existing value propositions to ensure profiles are contextually accurate.

How does the named customer research feature work?

The skill can either research specific companies you provide or auto-discover top companies in a given market segment using language-aware web search agents.

Customer & Buyer Persona Profiler

Name: Customer & Buyer Persona Profiler
Author: cogni-work

bycogni-work

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Marketing Automation

Generates detailed ideal customer profiles and buyer personas by synthesizing market data, competitive analysis, and strategic messaging.

This skill automates the creation of comprehensive customer profiles (ICPs) and buyer personas within the Insight Wave strategic ecosystem. It employs a data-first approach, analyzing local project context—including market definitions and value propositions—to infer primary decision-makers and complex buying centers. The skill identifies critical stakeholders such as veto-holders and compliance officers while validating customer pain points against existing product capabilities. With integrated multi-language support and automated stakeholder review agents (CSO, Procurement, and Market Expert), it ensures that your GTM strategy is grounded in realistic, actionable buyer intelligence.

Key Features

01Automated ICP and buyer persona generation based on local market data

025 GitHub stars

03Language-aware web research for identifying and profiling specific named companies

04Multi-stakeholder buying center mapping including gatekeepers and veto-holders

05Automated quality assessment via specialized Procurement, CSO, and Market Expert agents

06Proposition-to-pain-point cross-validation to identify strategic messaging gaps

Use Cases

01Developing targeted buyer personas for a new B2B market entry or segment

02Identifying alignment gaps between product features and actual customer pain points

03Conducting account-based marketing (ABM) research on specific named target companies

Key Features

01Automated ICP and buyer persona generation based on local market data

025 GitHub stars

03Language-aware web research for identifying and profiling specific named companies

04Multi-stakeholder buying center mapping including gatekeepers and veto-holders

05Automated quality assessment via specialized Procurement, CSO, and Market Expert agents

06Proposition-to-pain-point cross-validation to identify strategic messaging gaps

Use Cases

01Developing targeted buyer personas for a new B2B market entry or segment

02Identifying alignment gaps between product features and actual customer pain points

03Conducting account-based marketing (ABM) research on specific named target companies