SDRs, AEs & sales ops

Email Extraction for Sales Teams

A sales team is only as fast as its pipeline of clean contacts. Reps waste hours copying addresses out of exported lists, LinkedIn Sales Navigator pages, and conference attendee PDFs, then discover half of them are duplicates already sitting in the CRM. Sales ops needs a repeatable way to turn raw research into a deduplicated, routed list.

This workflow standardizes how prospect data flows from raw source to CRM-ready CSV: extract, normalize, dedupe against existing records, and separate business buyers from personal accounts so routing rules fire correctly.

The workflow

  1. 1

    Bulk-extract from research exports

    Drop large exports, scraped pages, and attendee lists into the bulk email extractor to pull thousands of addresses in one pass.

  2. 2

    Filter to business buyers

    Use the business email filter to keep corporate domains and drop free consumer accounts that won't match your ICP.

  3. 3

    Dedupe against existing pipeline

    Compare the new list against your current CRM export to remove contacts your team is already working.

  4. 4

    Normalize and route

    Lowercase every address and export to CSV so lead-routing rules assign owners without collisions.

Recommended tools

Pro tips

  • Standardize on lowercase addresses before import so your CRM doesn't create duplicate contact records.
  • Route by domain, not by person — grouping contacts from one company prevents two reps prospecting the same account.
  • Keep a suppression list of closed-lost and do-not-contact accounts and diff every new list against it.

Frequently asked questions