Retail B2B Lead Database Mining
Budget: ₹1,500 – ₹12,500 INR
I’m gearing up for a new outbound campaign that promotes our IT services to the retail, cpg or BFSI vertical and I need a clean, accurate database of decision-makers to hit the ground running. Your task is to dig into whatever reliable sources you have—paid databases, public records, LinkedIn Sales Navigator, web scraping tools, you name it—and pull together a list of C-, V- and D-level contacts working inside retail companies.
For each prospect I want direct, verifiable contact details and enough firmographic context to confirm they are a genuine fit before we start outreach. Quality matters more than volume, so please factor in verification steps (bounce checks, phone confirmation, cross-referencing) as part of the research process.
Deliverables
• A spreadsheet (.xlsx or Google Sheets) containing: company name, contact name, exact title, corporate email, direct phone (when available), headquarters location, and any quick notes you feel will help my sales team personalise outreach.
• A short summary of your data sources and the verification workflow you followed.
Acceptance criteria
• All contacts must be employed by retail organisations (no distributors, resellers, or unrelated verticals).
• Roles must match C-suite, Vice-President, or Director level titles involved in technology or purchasing decisions.
• Bounce rate on supplied emails should not exceed 5 %.
If you have experience compiling similar B2B datasets for IT service providers, let me know your usual turn-around time and a rough lead count you can confidently deliver at this quality level. I’m ready to start as soon as I find the right researcher.
For each prospect I want direct, verifiable contact details and enough firmographic context to confirm they are a genuine fit before we start outreach. Quality matters more than volume, so please factor in verification steps (bounce checks, phone confirmation, cross-referencing) as part of the research process.
Deliverables
• A spreadsheet (.xlsx or Google Sheets) containing: company name, contact name, exact title, corporate email, direct phone (when available), headquarters location, and any quick notes you feel will help my sales team personalise outreach.
• A short summary of your data sources and the verification workflow you followed.
Acceptance criteria
• All contacts must be employed by retail organisations (no distributors, resellers, or unrelated verticals).
• Roles must match C-suite, Vice-President, or Director level titles involved in technology or purchasing decisions.
• Bounce rate on supplied emails should not exceed 5 %.
If you have experience compiling similar B2B datasets for IT service providers, let me know your usual turn-around time and a rough lead count you can confidently deliver at this quality level. I’m ready to start as soon as I find the right researcher.
Related categories:
Data Entry
Excel
Web Scraping
Leads
Web Search
Lead Generation
B2B Marketing
Database Management