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Market IntelligenceFebruary 9, 20263 min read

How to Build Market Intelligence Maps with the Pounce API

How a 15-person agency in Hamburg used data-driven matching to fill their pipeline — without a single sales hire.


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How to Build Market Intelligence Maps with the Pounce API

Traditional market maps are built on VC deal databases, press releases, and LinkedIn profiles. They look impressive in pitch decks but miss the majority of the market: bootstrapped companies, stealth startups, foreign subsidiaries, and companies that simply do not care about PR.

Registry data captures all of them. If a company is legally registered, it exists in the trade register. And Pounce has indexed it from 20 countries worldwide.

This guide shows you how to build comprehensive market intelligence maps using the Pounce API.

Why Registry-Based Market Maps Are Better

ApproachCompanies FoundBias
CrunchbaseVC-funded onlySurvivorship bias
LinkedInSelf-reportedOptimism bias
Google scrapingSEO-active onlyVisibility bias
Trade registerEvery legal entityNone

A registry-based map gives you the complete picture: every registered company in your target market, regardless of whether they have raised funding, have a LinkedIn page, or rank on Google.

Step-by-Step Guide

Step 1: Define Your Market Scope

Choose your filters:

  • Geography: Which countries? (Pounce covers 20 countries including FR, GB, CH, BE, NO, and more)
  • Business purpose keywords: What do companies in this market register as?
  • Technology signals: What technologies indicate relevance?
  • Registration period: Recent entrants vs. established players?

Step 2: Query the Market

import requests headers = {"X-API-Key": "YOUR_KEY"} BASE = "https://api.pounce.ch/api/v1" def scan_market(query: str, countries: list[str]) -> list[dict]: all_results = [] for country in countries: resp = requests.get( f"{BASE}/v2/entities/search", headers=headers, params={ "q": query, "country": country, "has_domain": True, "sort": "relevance", "limit": 100 } ) all_results.extend(resp.json().get("items", [])) return all_results # Example: map the European HR-Tech market hrtech_companies = scan_market( query="human resources OR recruiting OR talent OR HR software", countries=["CH", "FR", "GB", "BE", "NO", "DK"] )

Step 3: Enrich and Segment

def enrich_and_segment(companies: list[dict]) -> dict: segments = {} for company in companies: enriched = requests.get( f"{BASE}/v2/entities/{company['id']}", headers=headers ).json() tech = enriched.get("categories", {}) employee_estimate = enriched.get("employee_estimate", 0) # Segment by company size if employee_estimate and employee_estimate > 200: segment = "enterprise" elif employee_estimate and employee_estimate > 20: segment = "scaleup" else: segment = "startup" segments.setdefault(segment, []).append({ "canonical_name": enriched.get("legal_name"), "country": enriched.get("country"), "website": enriched.get("domains", [{}])[0].get("domain", ""), "categories": tech, "employees": employee_estimate, "registered": enriched["registrations"][0]["registered_at"] if enriched.get("registrations") else None, }) return segments

Step 4: Monitor Market Changes

Set up webhooks to keep your market map current:

requests.post( f"{BASE}/v2/webhooks", headers=headers, json={ "url": "https://your-app.com/market-update", "events": ["entity.created"], "filters": { "q": "human resources OR recruiting OR HR software", "country": "CH" } } )

New market entrants are added to your map automatically.

Example Output: European HR-Tech Segments

A registry-based market map reveals patterns that VC-focused maps miss:

  • Bootstrapped players that dominate regional markets without VC funding
  • Corporate spin-offs from consulting firms and staffing agencies building tech products
  • Academic spin-offs from universities commercializing HR research
  • Niche specialists focused on specific verticals (healthcare recruiting, construction staffing)

Practical Applications

  1. Competitive Analysis: Complete view of your competitive landscape, not just the funded players
  2. M&A Target Identification: Discover acquisition targets that are not on anyone else's radar
  3. Market Sizing: Count actual registered companies, not estimated TAM numbers
  4. Partnership Scouting: Find complementary companies in adjacent segments
  5. Investment Research: Identify emerging trends from company formation patterns

Start building your market map with 100 free API calls at pounce.ch.

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