B2B Database Cleansing & Verification
Budget: $30 – $250 USD
I have a raw file of roughly 1.5 million B2B contacts pulled from several sources, and I need it converted into a campaign-ready database that maximises email deliverability. The work revolves around four core actions: cleaning, verifying, standardising and finally organising the data for import into my CRM and marketing platforms.
Key focus
• The main objective is to eliminate hard bounces and spam-trap risks so every outbound send has the highest possible delivery rate.
• Three fields must come back fully standardised and de-duplicated:
– Email addresses
– Company names
– Contact names
Scope of the job
You will run the list through proven large-scale email verification tools and apply additional checks for syntax, domain health and catch-all filtering. After verification, please normalise company and contact naming conventions, consolidate duplicates, flag incomplete records and supply a clear audit trail of every change.
Deliverables
1. Cleaned master database in CSV or XLSX, ready for direct upload
2. A brief summary report outlining: total records processed, invalid emails removed, duplicate merges, and any fields that could not be recovered
3. A separate file of undeliverable or questionable contacts for my review
Acceptance criteria
• Bounce-rate projection below 2 % on a random 10 k-record test send
• Consistent formatting across all three essential fields
• No loss of original, still-valid data
If you are accustomed to handling datasets of this size and have a solid workflow with high-accuracy verification services, I look forward to seeing how you would tackle the task and what turnaround you can offer.
Key focus
• The main objective is to eliminate hard bounces and spam-trap risks so every outbound send has the highest possible delivery rate.
• Three fields must come back fully standardised and de-duplicated:
– Email addresses
– Company names
– Contact names
Scope of the job
You will run the list through proven large-scale email verification tools and apply additional checks for syntax, domain health and catch-all filtering. After verification, please normalise company and contact naming conventions, consolidate duplicates, flag incomplete records and supply a clear audit trail of every change.
Deliverables
1. Cleaned master database in CSV or XLSX, ready for direct upload
2. A brief summary report outlining: total records processed, invalid emails removed, duplicate merges, and any fields that could not be recovered
3. A separate file of undeliverable or questionable contacts for my review
Acceptance criteria
• Bounce-rate projection below 2 % on a random 10 k-record test send
• Consistent formatting across all three essential fields
• No loss of original, still-valid data
If you are accustomed to handling datasets of this size and have a solid workflow with high-accuracy verification services, I look forward to seeing how you would tackle the task and what turnaround you can offer.
Related categories:
Data Processing
Data Entry
CRM
Database Administration
Data Cleansing
Data Analysis
Data Management