Turn Scattered Business Data Into Structured B2B Datasets
Collect, enrich, verify, normalize, and organize company and contact information around the exact fields your prospecting, sales, research, or GTM workflow needs.
In B2B sales, incomplete data is a silent killer of pipeline. Instead of relying on rigid off-the-shelf lists, I build custom multi-source datasets that append verified attributes — job titles, headcount, tech stack, funding status, and custom niche signals.
The Data You Need Rarely Lives in One Database
No single provider has all the business data you need. One database lists a company’s legal name and location, another holds the VP’s direct email, and niche public websites hold active hiring signals or tech stack usage.
Teams waste dozens of hours jumping between fragmented sources and still end up with gaps. We handle the messy data integration so your team receives unified, verified datasets ready for immediate action.
What I Can Help With
From firmographic enrichment and custom web scraping to entity resolution and CRM-ready table structuring.
Company Data Enrichment
Append verified firmographics to accounts: industry, headcount range, estimated revenue, location, business model, funding stage, and technology stack.
Contact Enrichment
Enrich decision-maker profiles with validated executive job titles, seniority levels, department tags, active LinkedIn URLs, and direct work emails.
Web Data Extraction
Extract public data from target websites, corporate directories, job boards, and public registries into structured CSV or JSON formats ready for analysis.
Custom Data Collection
Build bespoke datasets around niche ICP criteria: specific cloud technologies, active hiring spikes, M&A events, or tight geographic clusters.
Email & Contact Verification
Run multi-source deliverability checks to catch typos, invalid domains, and spam-traps, keeping email bounce rates safely below 1.5%.
Data Cleaning & Normalization
Standardize formatting variations (“Inc” vs “Inc.”), normalize addresses, map job seniorities, and eliminate duplicate records cleanly.
Record Matching & Entity Resolution
Link fragmented records across multiple identifiers (email, corporate domain, legal business names) into unified, single-profile accounts.
Structured Dataset Creation
Deliver CRM-ready or spreadsheet-ready datasets with consistent field headers, confidence scores, and source attribution columns.
The Data Enrichment Pipeline
Inspect each stage below to watch how a sparse raw input is queried across multiple specialized sources, cross-checked for accuracy, verified, and standardized.
Confirm the correct company and persona identifiers across corporate registries and root domains before initiating third-party enrichment lookups.
- Resolved raw string “Acme” to canonical domain: acme.com.
- Validated active DNS records and checked against CRM suppression table.
- Queued record for secondary multi-source data collection.
Web Scraping vs. Data Enrichment
Though related, scraping and enrichment serve different purposes in your data architecture. Understanding the distinction ensures we pick the right technical approach.
The automated process of pulling raw public information directly from defined web pages or APIs into clean files.
- Targeted scraping of public company directories and state registries.
- Extracting niche product catalogs, pricing tables, or partner rosters.
- Ideal when you know the exact URLs hosting the unorganized data.
Starts with an existing record and enhances it by querying multiple external databases, APIs, and verification engines.
- Appends missing employee headcount, technology stack, and funding stage.
- Matches fragmented entities across multiple databases via domain and email.
- Cross-references conflicting records and enforces deliverability verification.
The Three Layers of Enriched B2B Intelligence
We enrich only the properties your GTM workflow actually requires — keeping datasets sharp, verified, and free of useless database clutter.
Company Firmographics
- Legal company name & root domain
- Standardized industry & sub-industry
- Headcount & employee range tier
- Estimated revenue & funding round
- Headquarters city, state & country
- Core business model (B2B SaaS / Services)
People & Contact Data
- Full name & standardized job title
- Seniority level (C-Suite, VP, Director)
- Functional department & role scope
- Verified corporate email (SMTP 250 OK)
- Active professional profile (LinkedIn URL)
- Direct-dial phone number (when available)
Custom Research Fields
- Installed technology stack (e.g. HubSpot, Snowflake)
- Active hiring signals & open engineering roles
- Recent M&A or leadership announcements
- Niche pricing models & target customer segments
- Source provenance & freshness indicators
- Deterministic ICP qualification score
A Filled Field Isn’t Automatically a Correct Field
Third-party data providers vary widely in quality. Blindly injecting unverified lookups pollutes your systems. We believe an unknown field is vastly superior to a confidently wrong value.
Waterfall Sourcing
If provider A lacks a field, query provider B, then fall back to targeted web scraping. Stitched sources ensure comprehensive coverage without gaps.
Multi-Source Cross-Check
When two databases report conflicting employee counts or executive titles, we cross-validate against official company filings before populating.
SMTP Handshake Verification
Every business email is passed through syntax, MX, and SMTP deliverability handshakes to eliminate bounces and protect your domain reputation.
Data Freshness Thresholds
B2B contact data naturally decays by 25–30% every year. Records older than 12 months are audited and refreshed before inclusion in final deliverables.
No Low-Confidence Guessing
If a data attribute cannot be verified with high confidence, we leave it blank. You will never receive hallucinated or assumed placeholder values.
Provenance & Source Tracking
Every delivered field carries source metadata, timestamp flags, and confidence indicators so you know exactly where each data point originated.
Multi-Source Waterfall • No Vendor Lock-In
I do not rely on a single vendor. I build a customized waterfall of public sources, commercial databases, verification APIs, and scrapers to maximize accuracy and coverage.
Supplies baseline company registries, funding events, executive leadership rosters, and validated corporate root domains.
Executes multi-source waterfall lookups, automated SMTP handshakes, and targeted crawls of public career pages and product catalogs.
Outputs turnkey datasets cleanly formatted to your exact field schemas, ready for immediate sales outreach or CRM upload.
A Production-Ready Dataset, Not a Raw Data Dump
You receive clean, validated datasets and operational frameworks formatted specifically for your team’s systems.
Data Requirements Framework
Defined schema specifying target fields, data types, validation constraints, and sourcing rules.
Multi-Source Sourcing Plan
Documented strategy mapping which databases, web crawls, and APIs will be queried in waterfall order.
Enriched Account Records
Companies fully populated with standardized firmographics, headcount range, and verified domains.
Verified Contact Details
Decision-maker profiles with deliverability-tested business emails and verified LinkedIn URLs.
Normalized Properties
Clean values conforming to standard ISO country codes, seniority dropdowns, and industry tags.
Deduplicated Entities
Consolidated single view of companies and contacts with preserved match keys and activity links.
Source & Freshness Metadata
Audit columns indicating where each data point was retrieved and when it was verified.
Custom Niche Signals
Scraped technology footprints, hiring announcements, and custom research fields tied to each row.
Structured Data Delivery
Files delivered in your required format: CSV, Google Sheets, Airtable, or CRM direct import.
Who This Service Is For
Engineered for teams who require verified, reliable data inputs over generic database scraping.
B2B SaaS Companies
Power outbound campaigns and inbound qualification with validated tech stacks, employee tiers, and decision-maker roles.
Sales & SDR Teams
Eliminate 15 minutes of manual research per lead so reps focus their energy entirely on conversations that convert.
RevOps & GTM Ops
Establish unified data schemas and clean CRM properties to ensure accurate territory routing and pipeline forecasting.
Agencies & CROs
Deliver hyper-targeted, verified client prospect lists enriched with hard-to-find niche buying signals.
Founders & Lean Teams
Acquire clean, enriched GTM datasets without purchasing expensive annual enterprise database contracts.
Market Research Teams
Convert thousands of dispersed public filings, websites, and job boards into structured competitive intelligence tables.
Common Data Enrichment Use Cases
How structured multi-source enrichment solves data bottlenecks across the revenue pipeline.
Enrich Partial Inbound or Event Lead Lists
Build Niche Datasets Unavailable in Apollo
Cleanse & Deduplicate Stale CRM Records
Prepare High-Confidence Outbound Data
Need Data That Doesn’t Exist in a Ready-Made List?
Tell me what you need to know about your target market. I will identify the best public and commercial sources, enrich the missing attributes, validate the deliverability, and deliver clean, structured data ready for your sales workflow.
Discuss Your Data Requirements