The Scenario
You're the marketing coordinator for a SaaS company, and you've just come back from a trade show with 480 business cards scanned into a Google Sheet. The event was last Thursday. Your onboarding sequence in UniSender starts sending to new leads the moment they're added to the list — which means every day those contacts sit in the sheet unimported, people who should be getting your welcome email are getting silence instead.
The bad version:
- Download the sheet as a CSV, then discover that your column headers don't match UniSender's field names — email is "Email Address" in the sheet but "email" in UniSender's import wizard — and spend 15 minutes remapping.
- Upload the file, hit submit, and get an error on row 203 because of a stray comma in someone's company name. Start over.
- Successfully import 476 of the 480 contacts, lose track of which four failed, and find out three weeks later when one of them emails you asking why they never heard from you.
The four contacts who slipped through aren't a disaster, but the fact that you spent 45 minutes on a process you'll repeat every month is. Your job is to generate pipeline, not to debug CSV parsing.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Google Sheet. It reads your data, connects directly to UniSender, and imports your contacts in one call — no reformatting, no column remapping, no import wizard.
Import all contacts from my Google Sheet (columns: A = email, B = first_name, C = last_name, D = phone, E = company) into UniSender list ID 12345 in one batch, and tag each contact as "tradeshow-2025". Write "imported" or the error message into column F.
What You Get
- All 480 contacts submitted to UniSender list 12345 in a single batch call.
- Tags applied to every contact at import time — no second pass required.
- Column F filled with "imported" for successful rows and the specific error message for any that failed, so you know exactly which contacts need attention.
- Your onboarding sequence starts reaching new leads the same day.
What If the Data Is Not Quite Ready
Phone numbers include country codes but UniSender expects 10-digit local format
Strip country codes from column D so all phone numbers are 10 digits, then import all contacts from columns A through E into UniSender list ID 12345 with the "tradeshow-2025" tag. Write status into column F.
Several rows are missing an email address
Skip any row where column A is empty, import all rows that have a valid email address into UniSender list ID 12345, and write "skipped - no email" into column F for any row you skipped.
The sheet has two tabs — one for domestic leads, one for international
Import contacts from both the "Domestic" and "International" tabs into UniSender list ID 12345. Tag domestic contacts "domestic-2025" and international ones "international-2025". Write import status into column G of each tab.
Clean, deduplicate, and import in one shot
Remove any duplicate email addresses across columns A (keeping the first occurrence), skip rows missing an email, normalize phone numbers in column D to 10-digit format, then import all remaining rows into UniSender list ID 12345 with the tag "tradeshow-2025". Write final status into column F.
The pattern: ask for the data cleanup and the import in one prompt. SheetXAI handles both inline.
Try It
Get the 7-day free trial of SheetXAI and open the Google Sheet from your next event or lead source, then ask it to import your contacts directly into UniSender. See also: export your UniSender list back into a sheet or the full UniSender integration overview.