Sector Tagging from Custom Taxonomy

Sector Tagging from Custom Taxonomy

Move beyond NAICS, NACE, APE, SIC or CRM firmographic codes. Align accounts to your own taxonomy — explainable, traceable, and strategy-ready.

Move beyond NAICS, NACE, APE, SIC or CRM firmographic codes. Align accounts to your own taxonomy — explainable, traceable, and strategy-ready.

Why this matters

Why this matters

Most organizations rely on standard classifications that were never designed for strategy. NAICS in the US, NACE in Europe, APE/INSEE in France, SIC in the UK — or firmographic codes embedded in CRM and data platforms (from Dun & Bradstreet to off-the-shelf CRM segmentations). These taxonomies are inconsistent across markets, often unreliable, and — most importantly — imposed by external providers.

This leads to wasted time reclassifying accounts, poor fit for commercial strategies, and misaligned targeting. With Starzdata, your own taxonomy becomes the single source of truth: every account in your CRM or market universe is tagged against your definitions, with full explainability and confidence scoring.

How Starzdata solves this

How Starzdata solves this

  1. Apply your taxonomy to company names, domains, and structured web content.

  2. Score each sector tag with a confidence percentage.

  3. Label the match type (name, domain, or content) for transparency.

  4. Ingest your own taxonomy labels and descriptions (1–50 segments). Each label includes a narrative definition that guides the matching process.

  5. Match companies against publicly available web sources: corporate websites, industry reports, press mentions, structured directories — going far beyond CRM-imposed firmographic tags.

Delivery adapts to your mode: packaged projects in 72h, or near real-time on the platform (minutes to days depending on volume).

This segment is activated with a blend of trusted sources and your own inputs

User Input

Web intelligence

Curated APIs

What you get:

What you get:

A dataset where all fields are standardized, scored, and traceable — ready to integrate into CRM, BI, or GTM workflows.

Each company receives:

  • A primary sector tag aligned to your taxonomy.

  • A confidence score for the tag.

  • A rationale explaining the match.

  • Matching logic based on your submitted labels and descriptions, enriched with signals collected across the web, not just CRM firmographic fields.

Delivered as a structured, enriched dataset — for lists from 100 to millions of accounts.

Sample data for this segment

#entreprise idnom entreprisesecteur industrietaille employeschiffre affaires millionspays siegeContact Email(input)Partnership Status(input)Allocated Budget(input)Strategic Priority(input)Data Quality(input)Partnership Score(input)description activite
1ENT001InnovateTech SolutionsIntelligence Artificielle34089.5Francepartnerships@innovatetech.frActif Premium€450,000Critique94%87%Leader européen en solutions d'IA pour l'automobil...
2ENT002GreenPower DynamicsÉnergie Renouvelable1250234.8Allemagnebusiness@greenpower.deEn négociation€280,000Haute76%92%Groupe énergétique innovant développant des parcs ...
3ENT003MedTech Innovations LabBiotechnologie8923.4Suissecollaboration@medtechlab.chProspect Qualifié€125,000Moyenne45%73%Startup biotech révolutionnaire spécialisée dans l...
4ENT004CyberSecure GlobalCybersécurité2100567.2États-Unisenterprise@cybersecure.comPartenaire Privilégié€750,000Critique98%96%Leader mondial de la cybersécurité avec une expert...
5ENT005SmartLogistics NetworkTransport & Logistique890145.7Pays-Baspartnerships@smartlogistics.nlInactif€95,000Basse28%41%Réseau logistique européen spécialisé dans la livr...
6ENT006FinanceFlow TechnologiesFintech45678.9Royaume-Unicorporate@financeflow.co.ukActif Standard€320,000Haute83%78%Plateforme fintech révolutionnaire proposant des s...
7ENT007AgriTech SustainableAgriculture Intelligente23434.6Danemarkinnovation@agritech.dkEn évaluation€180,000Moyenne67%85%Pionnier de l'agriculture de précision utilisant d...
8ENT008SpaceConnect IndustriesAérospatiale678189.3Italiebusiness@spaceconnect.itNouveau Contact€420,000Critique91%65%Constructeur de microsatellites et solutions de co...
9ENT009QuantumCompute LabsInformatique Quantique12745.2Canadaresearch@quantumcompute.caPartenaire Recherche€680,000Critique89%93%Laboratoire de recherche en informatique quantique...
10ENT010EcoMaterials RevolutionMatériaux Durables31256.8Suèdepartnerships@ecomaterials.seActif Premium€365,000Haute72%88%Innovateur en matériaux biosourcés pour l'industri...
Showing 1 to 10 of 10 entries • Click row for details

Each row in this sample shows how a company is enriched with your sector taxonomy. Alongside the company ID and name, you can see the assigned sector tag, employee headcount, revenues, and headquarters country. The dataset is confidence-scored and explainable, making it easy to trace why a company was matched to a given sector. This structure ensures clarity and comparability across accounts, whether you are cleaning a CRM, building GTM segments, or preparing strategic benchmarks.

... or explore the segment structure:
... or explore the segment structure:
... or explore the segment structure:
Your questions on this segment, answered

How do consultants and RevOps teams use custom sector tagging in real projects?

How do consultants and RevOps teams use custom sector tagging in real projects?

Can this segment handle millions of accounts from a CRM and still deliver explainable tagging?

Can this segment handle millions of accounts from a CRM and still deliver explainable tagging?

Why is it difficult to reconcile a client’s custom segmentation with NAICS or SIC codes using standard machine learning?

Why is it difficult to reconcile a client’s custom segmentation with NAICS or SIC codes using standard machine learning?

How are confidence scores and explanatory rationales attached to each sector tag?

How are confidence scores and explanatory rationales attached to each sector tag?

What makes Starzdata’s web-based sector matching different from registry or CRM-based classifications?

What makes Starzdata’s web-based sector matching different from registry or CRM-based classifications?

How does Starzdata turn a client’s internal taxonomy labels and descriptions into an actionable dataset?

How does Starzdata turn a client’s internal taxonomy labels and descriptions into an actionable dataset?

Why are standard codes like NAICS, NACE, APE, SIC or CRM firmographic tags unreliable for strategic targeting?

Why are standard codes like NAICS, NACE, APE, SIC or CRM firmographic tags unreliable for strategic targeting?

What are NAICS, NACE, APE or SIC codes, and how are they applied in company databases?

What are NAICS, NACE, APE or SIC codes, and how are they applied in company databases?