How to Connect Mailsoftly to Google Sheets (4 Methods Compared)

The Problem With Getting Sheet Data In and Out of Mailsoftly

You have a Google Sheet full of data — webinar registrants, CRM leads, event attendees, or a freshly cleaned contact list — and you need to get it into Mailsoftly before the campaign goes out. Or you need to pull an entire Mailsoftly list back into a sheet to clean it up before a migration.

Mailsoftly is good at managing email campaigns, segmenting audiences with tags, and keeping contact data organized. But moving data between it and your spreadsheet is more friction than the task deserves. The default path is a CSV download, a format-it-right loop, an import wizard with field mapping, and then a round-trip check to confirm nothing got dropped.

Below are the four ways teams handle this. Only the last one stays out of your way.

Method 1: Manual Copy-Paste

The default. Export a CSV from Mailsoftly, open it in a sheet, or go the other direction: format your sheet into a CSV that Mailsoftly's import wizard accepts, upload it, and work through the column-mapping screen.

Doing it once? Manageable. Doing it every time a new batch of registrants comes in, every time a segment needs re-tagging, every time the campaign team changes a column name in the sheet? That's a different story. The formatting rules are strict — one mismatched header and the import rejects the file. You clean the headers, re-upload, hit a duplicate warning on 40 rows, and now you're reconciling one by one. The campaign was supposed to go out this afternoon.

Method 2: Zapier or Make

Both platforms have Mailsoftly connector options. You can wire up a trigger — a new row added to a sheet, a schedule, a form submission — and push it into Mailsoftly as a contact creation or tag assignment.

Before you go further, a few honest questions. Do you know what a webhook trigger looks like? Have you set up field mapping between two apps before? Are you comfortable parsing what happens when an API call returns a 422 because a required field is empty? If any of those feel unfamiliar, Method 3 or 4 will treat you better. Skip ahead.

Still here? Good. The automation works, and the setup is legitimate. You pick your trigger, authenticate Mailsoftly, map each field by hand — email to email, first name to first name, tag column to tag field — and test it. When the field names match and the data is clean, it fires correctly.

But a row-by-row trigger is not the same as a bulk operation.

Pushing 600 registrants through Zapier means 600 separate API calls, 600 task credits, and a task log that becomes genuinely painful to debug when row 312 fails because the tag value had a trailing space.

You probably just need those contacts in Mailsoftly. You probably have no idea how to set up a Zap — and there's no reason you should. So you send a message to whoever handles automations on your team, and now you're waiting on a Slack reply while the campaign deadline edges closer.

And the moment you need to filter which rows to include based on a status column, or join data across two tabs before sending it over, you've left the automation's native capability behind entirely.

Method 3: The Previous Generation — Connector Add-Ons

Until recently, the best tool for repeatable spreadsheet-to-email-platform workflows was a category of add-ons that let you configure column mappings once, save a template, and run it again each time you needed to sync data.

That was a genuine improvement over manual CSV exports. You set the field map once, saved it, and the next batch went through in seconds.

But the thinking was still entirely on you — which columns to include, which rows qualified, how to handle tags when the column had multiple values. The tool moved the data, but every structural decision stayed with the operator. And when the sheet changed — a column renamed, a tab restructured — the saved template broke and needed manual repair.

This is the previous generation. It solved the repetition problem but not the judgment problem.

The Easy Way: Using SheetXAI in Google Sheets

There is a different approach entirely. SheetXAI is an AI agent that lives inside your Google Sheet. It reads the sheet, understands what you are looking at, and through its built-in Mailsoftly integration it can push contacts, assign tags, create drafts, and pull list data for you. No template configuration, no automation scaffolding, no CSV formatting. You just ask.

Example 1: Import 600 webinar registrants into a new Mailsoftly list

Create a new Mailsoftly contact list called 'Webinar June 2025', then add every row from this sheet as a contact using email from column A, first name from column B, last name from column C, and assign the tag from column D to each contact

Each contact lands in the new list with the correct tag. Any rows with missing email values get flagged in a status column so you know what needs attention.

Example 2: Export your full contact list back into the sheet for cleanup

Fetch all contacts from our main Mailsoftly contact list and write their email, first name, last name, and assigned tags into columns A through D in this sheet, then flag any duplicate email addresses in column E

The pattern: instead of exporting, formatting, and reimporting, you ask for the data and the cleanup check in one prompt. SheetXAI handles both in a single pass.

Try It

Get the 7-day free trial of SheetXAI and open any Google Sheet with contact data or campaign content, then ask it to do one of the tasks above. The Mailsoftly integration is included in every SheetXAI plan.