B2B Lead Generation
Targeted prospect databases built around specific industries, locations, company sizes, business activities, technologies, and custom qualification criteria.
I help businesses, agencies, sales teams, and research companies identify the right companies, decision-makers, and validated prospect data through targeted B2B research and lead generation.
I’m Daxit Khambhayata, a B2B Research & Lead Generation professional with 7+ years of experience across web research, market research, company research, prospect research, lead generation, and data validation.
I specialize in translating highly specific project requirements into structured and actionable B2B data — whether the criteria involve geography, industry, employee size, revenue, decision-maker seniority, technologies, brands, products, or other custom qualification requirements.
My approach is simple: understand the requirement, define the qualification logic, research carefully, validate the evidence, and deliver a clean dataset built for real business use.
Hands-on B2B and web research experience.
Across varied markets, industries, and qualification models.
Structured prospect and company records researched.
Experience across North America, Europe, APAC and more.
Targeted prospect databases built around specific industries, locations, company sizes, business activities, technologies, and custom qualification criteria.
Identification and qualification of relevant companies by industry, geography, revenue, employee size, products, services, brands, and technologies.
Research to identify relevant professionals based on department, role, seniority, responsibilities, and project-specific respondent criteria.
Business contact research covering professional profiles, LinkedIn information, corporate contact details, and email research with validation wherever possible.
Structured secondary research covering companies, industries, competitors, markets, technologies, products, and custom business intelligence requirements.
Review, verification, standardization, duplicate removal, data cleaning, and qualification of existing prospect databases to improve overall usability.
Flexible research support across technical, service, consumer, industrial, and regulated sectors.
Define the business objective, output format, target market, and any mandatory criteria.
Translate the brief into precise qualification rules, exclusions, data fields, and evidence requirements.
Use a small sample where useful to confirm interpretation before scaling the research.
Identify prospects and validate each record against the agreed project criteria.
Cross-check relevant sources, review consistency, remove duplicates, and flag uncertainty where needed.
Deliver a clean, organized dataset with fields, remarks, and supporting sources suited to the project.
Explore an anonymized example of how research data can be structured, qualified, and delivered.
| Company | Industry | Location | Employee Size | Decision Maker | Job Title | Status |
|---|---|---|---|---|---|---|
| Northstar Insight Labs | Market Intelligence | Boston, USA | 51–200 | Emily Carter | VP, Growth | Qualified |
| BluePeak Digital Systems | Technology | Austin, USA | 201–500 | Daniel Brooks | Director, Strategy | Qualified |
| MapleBridge Health Tech | Healthcare | Toronto, Canada | 51–200 | Sophia Martin | Head of Partnerships | Qualified |
| Pinnacle Industrial Works | Manufacturing | Chicago, USA | 201–500 | Michael Reed | Procurement Director | Qualified |
| ClearGrid Energy Solutions | Energy | Denver, USA | 51–200 | Olivia Turner | VP, Operations | Qualified |
A 15-company fictional sample showing the structure, fields, validation logic, and notes used in a typical B2B research deliverable.
Download Excel SampleA concise case study explaining project scope, methodology, qualification logic, research process, and quality-control approach.
Download Case StudyIndustry + Geography + Employee Size + Revenue + Job Titles + Seniority + Technology + Brands + Products + Business Activity + Other Custom Criteria
Portfolio Disclosure: All companies, contacts, websites and email addresses displayed in portfolio samples are fictional/anonymized and created solely to demonstrate research structure and delivery quality. No confidential client information is displayed.
Hands-on experience across B2B research, lead generation, web research, market research, and data validation.
Each project is researched according to its exact qualification requirements — not broad keyword matching.
Relevant business information is cross-checked across appropriate sources wherever possible.
Comfortable with multi-layer criteria involving company, market, technology, and respondent-level filters.
Research is organized into practical, easy-to-review datasets designed around the final use case.
Client requirements are handled professionally, with portfolio examples kept fictional or anonymized.
Let’s discuss your target market, qualification criteria, and the data you need.