🎁 Get the FREE AI Skills Starter GuideSubscribe →
BytesAgainBytesAgain
🦀 ClawHub

Data Enrichment

by @tktk-ai

Enrich company and contact lists with public data — firmographics, technographics, social profiles, funding history, and employee count estimates. Clean, ded...

Versionv1.0.1
Downloads656
TERMINAL
clawhub install data-enrichment

📖 About This Skill


name: data-enrichment version: 1.0.1 description: Enrich company and contact lists with public data — firmographics, technographics, social profiles, funding history, and employee count estimates. Clean, deduplicate, and score leads from raw CSV/JSON inputs. author: TKDigital category: Data & Analytics tags: [data enrichment, CRM, lead scoring, firmographics, B2B data, data cleaning]

Data Enrichment Skill

Transform raw company/contact lists into enriched, scored, CRM-ready datasets.

What It Does

1. Company Enrichment — Add firmographic data (industry, size, revenue range, funding, tech stack) 2. Contact Enrichment — Find titles, social profiles, recent activity 3. Data Cleaning — Deduplicate, normalize, fix formatting issues 4. Lead Scoring — Score enriched records on custom criteria 5. Export — Output in CSV, JSON, or CRM-import format

Usage

Enrich a Company List

Enrich this list of companies:
1. Acme Corp
2. Widget Labs  
3. DataFlow Inc
4. CloudScale
5. GrowthLab

For each, find:

  • Industry and sub-industry
  • Employee count (estimated range)
  • Funding status and last round
  • Tech stack (if detectable)
  • Key decision makers (CEO, CTO, CMO)
  • LinkedIn company page
  • Recent news (last 90 days)
  • Clean and Deduplicate

    Clean this CSV:
    [Paste CSV or provide file]

    Tasks:

  • Remove exact and fuzzy duplicates
  • Normalize company names (Inc/LLC/Ltd variations)
  • Fix email formatting issues
  • Flag incomplete records
  • Standardize phone number format
  • Fill missing fields where possible from public data
  • CRM Enrichment

    I'm importing these contacts into [HubSpot/Salesforce/Pipedrive]:

    [Paste contact list]

    Enrich each record with:

  • Company info (size, industry, revenue)
  • Contact title and seniority level
  • LinkedIn profile URL
  • Lead score (1-100 based on: company size 10-500, SaaS industry, recent funding)
  • Tag: hot/warm/cold
  • Output as CSV with CRM-compatible column headers.

    Technographic Profiling

    For these companies, identify their tech stack:
    
  • What CMS do they use? (WordPress, Shopify, custom)
  • What analytics? (GA4, Mixpanel, Amplitude)
  • What email platform? (Mailchimp, SendGrid, HubSpot)
  • What payment processor? (Stripe, PayPal, Square)
  • Any AI/automation tools visible?
  • Companies: [list]

    Output Format

    Enriched Company Record

    ## [Company Name]
    | Field | Value |
    |-------|-------|
    | Industry | [Industry / Sub-industry] |
    | Employees | [Range estimate] |
    | Revenue | [Range estimate] |
    | Founded | [Year] |
    | Funding | [Total raised / Last round] |
    | Location | [HQ city, country] |
    | Website | [URL] |
    | LinkedIn | [URL] |
    | Tech Stack | [Detected tools] |
    | Recent News | [Last 90 days highlights] |

    Key Contacts

    | Name | Title | LinkedIn | Seniority | |------|-------|----------|-----------| | [Name] | [Title] | [URL] | [C-level/VP/Director/Manager] |

    CSV Export Format

    company_name,industry,employees,revenue_range,funding,location,website,linkedin,tech_stack,news,contact_name,contact_title,contact_linkedin,lead_score,tag
    

    Data Sources

  • Public websites and About pages
  • LinkedIn (public profiles)
  • Crunchbase (public funding data)
  • BuiltWith / Wappalyzer (tech stack)
  • News aggregators (recent activity)
  • Job postings (growth signals)
  • Best Practices

  • Provide clean input data (company names, domains, or LinkedIn URLs)
  • Specify which fields matter most — enrichment is faster when focused
  • For large lists (100+), process in batches of 25
  • Always verify enriched data before importing to CRM
  • Pair with lead-gen-research for full qualification + enrichment pipeline
  • References

  • references/field-definitions.md — What each enrichment field means
  • references/scoring-model.md — Default lead scoring weights
  • 💡 Examples

    Enrich a Company List

    Enrich this list of companies:
    1. Acme Corp
    2. Widget Labs  
    3. DataFlow Inc
    4. CloudScale
    5. GrowthLab

    For each, find:

  • Industry and sub-industry
  • Employee count (estimated range)
  • Funding status and last round
  • Tech stack (if detectable)
  • Key decision makers (CEO, CTO, CMO)
  • LinkedIn company page
  • Recent news (last 90 days)
  • Clean and Deduplicate

    Clean this CSV:
    [Paste CSV or provide file]

    Tasks:

  • Remove exact and fuzzy duplicates
  • Normalize company names (Inc/LLC/Ltd variations)
  • Fix email formatting issues
  • Flag incomplete records
  • Standardize phone number format
  • Fill missing fields where possible from public data
  • CRM Enrichment

    I'm importing these contacts into [HubSpot/Salesforce/Pipedrive]:

    [Paste contact list]

    Enrich each record with:

  • Company info (size, industry, revenue)
  • Contact title and seniority level
  • LinkedIn profile URL
  • Lead score (1-100 based on: company size 10-500, SaaS industry, recent funding)
  • Tag: hot/warm/cold
  • Output as CSV with CRM-compatible column headers.

    Technographic Profiling

    For these companies, identify their tech stack:
    
  • What CMS do they use? (WordPress, Shopify, custom)
  • What analytics? (GA4, Mixpanel, Amplitude)
  • What email platform? (Mailchimp, SendGrid, HubSpot)
  • What payment processor? (Stripe, PayPal, Square)
  • Any AI/automation tools visible?
  • Companies: [list]

    📋 Tips & Best Practices

  • Provide clean input data (company names, domains, or LinkedIn URLs)
  • Specify which fields matter most — enrichment is faster when focused
  • For large lists (100+), process in batches of 25
  • Always verify enriched data before importing to CRM
  • Pair with lead-gen-research for full qualification + enrichment pipeline