Back to Dropcontact in Google Sheets
SheetXAI logo
Dropcontact logo
Dropcontact · Google Sheets Guide

Bulk Enrich Prospects With Verified Emails From a Google Sheet

2026-05-14
5 min read

The Scenario

You're a sales development rep, and it's Tuesday afternoon. You just pulled 200 new inbound leads out of your CRM — first name, last name, company — and dropped them into the 'Prospects' tab of the team's Google Sheet. The outbound sequence kicks off Friday. No email addresses, no LinkedIn URLs. Two hundred rows of names and companies, and three days to get contact data attached to all of them.

The bad version:

  • Export the sheet to CSV, drag the file into the Dropcontact upload interface, and wait for the batch job to finish — which takes anywhere from 20 minutes to a few hours depending on load.
  • Download the enriched file, open it next to your original sheet, and manually map the enriched email and LinkedIn columns back to the right rows — row by row, watching for any offsets when the order doesn't match.
  • Flag the ones Dropcontact marked as uncertain so someone on the team can manually verify before they go into the sequence.

The sequence launches Friday. If you spend Wednesday doing the reconciliation by hand and Thursday chasing down the flagged rows, you've used up all your buffer on data plumbing instead of actually reviewing the leads.

The Easy Way: One Prompt in SheetXAI

SheetXAI is an AI agent inside your Google Sheet. It reads your data, understands what you're working with, and through its built-in Dropcontact integration it can submit the enrichment job, wait for results, and write verified contact data back into your sheet — without any manual reconciliation step on your end.

Read the 'Prospects' sheet (columns: FirstName, LastName, Company), submit all rows to Dropcontact for batch enrichment, poll until complete, and write verified email addresses and LinkedIn URLs back into columns D and E.

What You Get

  • Column D populated with verified professional email addresses for every row that Dropcontact matched.
  • Column E populated with LinkedIn profile URLs where available.
  • Rows where Dropcontact returned low-confidence results get a note in column F flagging them for manual review.
  • The rest of your sheet stays intact — no row offsets, no overwritten columns.

What If the Data Is Not Quite Ready

Company names are inconsistent — some say "Inc.", some don't, some have abbreviations

Dropcontact normalizes company names during enrichment, but if your source data has a mix of "Acme Inc", "ACME", and "Acme Corporation" for the same company, you'll get split results.

Before submitting to Dropcontact, normalize the Company column: strip trailing "Inc", "LLC", "Corp", and "Ltd" suffixes from all rows in column C, then submit the cleaned list to Dropcontact for batch enrichment and write the results back to columns D and E.

Some rows are missing the company name entirely — only name is available

Dropcontact enrichment accuracy drops significantly without a company signal. You want those rows handled separately.

Split the 'Prospects' sheet into two groups: rows where column C is blank, and rows where it has a value. Submit the non-blank group to Dropcontact first, write results to columns D and E, then flag the blank-company rows in column F as 'Missing Company — needs manual lookup'.

The list has duplicates — same person appears twice with slightly different formatting

Before submitting to Dropcontact, check the 'Prospects' sheet for duplicate rows where FirstName + LastName + Company match (case-insensitive). Keep the first occurrence, mark duplicates in column G as 'Duplicate', then submit the unique rows to Dropcontact and write enriched emails and LinkedIn URLs back to columns D and E for all matched rows including the originals.

Clean the list, enrich it, and flag the high-priority rows in one shot

In the 'Prospects' sheet: strip formatting from the Company column, remove duplicate rows by FirstName+LastName+Company, submit all unique rows to Dropcontact for enrichment, write verified emails to column D and LinkedIn URLs to column E, then mark any row where the email domain matches the list in the 'Priority Domains' tab with 'High Priority' in column F.

The pattern is to ask for the data prep and the enrichment in a single prompt — you get a clean, enriched sheet instead of a half-done job waiting for a second pass.

Try It

Get the 7-day free trial of SheetXAI and open any Google Sheet with a prospect list — even just names and companies — then ask SheetXAI to enrich it via Dropcontact and write the verified emails back. Link to sibling articles: Enrich emails with firmographic data · Batch-enrich LinkedIn URLs · Dropcontact overview

Stop memorizing formulas.
Tell your spreadsheet what to do.

Join 4,000+ professionals saving hours every week with SheetXAI.

Learn more