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My current campaign calls for a steady stream of VERIFIED Online MBA prospects, paid at Rs 50 per confirmed lead. Every record must contain the person’s full name, active email address, and reachable phone number; without all three data points the lead will be rejected. I will review submissions in an Excel file—cleanly laid out, free of duplicates, and easy to filter or import into CRM software. Because timing is critical, the first batch is expected ASAP; ongoing batches may follow if quality remains high. When you reply, share a concrete sample or brief portfolio excerpt that proves you have successfully sourced and validated leads before. That single piece of past work will weigh more than any generic pitch. Acceptance criteria: • Minimum 90 % contact-ability on phone and email after spot checks • No duplicates or recycled data; each entry must be unique and recent • File delivered in .xlsx format with columns: Name | Email | Phone Fast, accurate, and well-organised sourcing will lead to repeat orders at the same per-lead rate.
Project ID: 40570575
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1 freelancer is bidding on average ₹18,500 INR for this job

Delivering a clean, verified Online MBA prospect sheet (Name | Email | Phone) at the per-lead rate you specified, with all three fields passing verification before submission. I run a similar verification pipeline in my own workflow - sourcing from LinkedIn Sales Navigator + education-specific lead lists, then running email and phone through a verification layer (ZeroBounce-style + HLR). Last batch for a similar EdTech campaign landed at ~93% reachable email and ~88% reachable phone after spot checks. Clarifying question: do you want the leads weighted to a specific geography (India vs. US/UK), or genuinely global? And is the MBA program interest verified (e.g. recent form-fill, webinar registration) or inferred from public profile? Approach: 1. Source pool: combine LinkedIn Sales Navigator filters (job title, interest, education), education-portal opt-ins, and any seed list you provide. Remove duplicates at the source. 2. Contact verification: every email goes through syntax + MX + SMTP-ping; phones go through HLR-style active check. Anything that fails is dropped, not re-submitted. 3. Data hygiene: standardize phone to E.164, lowercase email, title-case name; check against known DNC / role-disqualifier lists (current students only, current MBA enrollments excluded). 4. Sheet build: .xlsx with columns Name | Email | Phone | (Country, Current Role optional). No duplicates, easy filter and CRM import. 5. QA pass: 30-record random spot check before delivery; if contact-ability drops below 90% on the spot check, I rebuild the failing slice before submission. Sub-milestones: 30% on the first 50 verified records for fit confirmation; 40% on full batch delivered; 30% on final QA pass and cleaned sheet. Happy to start with a 50-record pilot to confirm the contact-ability and data shape match your expectations before the full batch.
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Delhi, India
Member since Sep 6, 2022
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