Insurance Decision-Maker Contact Database
Budget: ₹750 – ₹1,250 INR
I need a clean, well-verified database of decision-makers who sit inside India’s insurance ecosystem. The focus is Gurugram and Delhi, and I’m interested in contacts from insurance companies, brokers, and aggregators or other channel partners. Within each firm I only want senior managers, general managers, and, when the headcount is between 10-20 employees, the CEO. For larger teams (up to 200 people) the CEO can be skipped.
Company-size accuracy matters, so please tag each record as either 10-51 or 51-200 employees. Direct phone numbers are critical because the list will be used for cold calling; email addresses must be live and deliverable as well.
Before we move to a full roll-out, I’d like a quick proof of your research quality. Please send a mini-sample of 5–10 fully verified contacts so I can review accuracy, formatting, and data depth. If the sample checks out, I’ll green-light the complete build and release payment as agreed.
Deliverables
• Initial sample: 5–10 verified contacts
• Final spreadsheet: name, title, company, city, employee band (10-51 / 51-200), direct phone, work email, verification timestamp
Accuracy will be confirmed through random calling and an email bounce check; records that fail either test will need replacement. If this sounds clear, let’s start with the sample.
Company-size accuracy matters, so please tag each record as either 10-51 or 51-200 employees. Direct phone numbers are critical because the list will be used for cold calling; email addresses must be live and deliverable as well.
Before we move to a full roll-out, I’d like a quick proof of your research quality. Please send a mini-sample of 5–10 fully verified contacts so I can review accuracy, formatting, and data depth. If the sample checks out, I’ll green-light the complete build and release payment as agreed.
Deliverables
• Initial sample: 5–10 verified contacts
• Final spreadsheet: name, title, company, city, employee band (10-51 / 51-200), direct phone, work email, verification timestamp
Accuracy will be confirmed through random calling and an email bounce check; records that fail either test will need replacement. If this sounds clear, let’s start with the sample.