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

The Problem with Connecting MailerLite to Google Sheets

MailerLite is where your email list lives — subscribers, groups, campaigns, automations, and e-commerce shop data. Google Sheets is where your operations team tracks everything else — imports waiting to go in, campaign results waiting to be reviewed, order exports waiting to seed automations.

The gap between the two costs more time than it should. You export a CSV from MailerLite, clean it up in Sheets, re-import the corrected version. You pull campaign stats out of the MailerLite dashboard, type them into a Sheet by hand for the monthly review. You have a list of new subscribers in a Sheet and you need them in a MailerLite group before the welcome sequence fires tomorrow. None of these flows are hard, but none of them are fast either.

Below are the four ways people typically connect MailerLite to Google Sheets. Only the last one handles both directions — pushing data in and pulling data out — without manual steps.

Method 1: Export CSVs and Import Them Manually

The default approach. MailerLite supports CSV import for subscribers, and it supports CSV export for campaign stats and subscriber lists. So the flow is: download from one tool, open in Sheets, clean it up, re-upload or retype into the other.

When this works:

• One-off imports with fewer than a few hundred rows
• Occasional stat lookups for a report that does not recur
• Teams where nobody has set up anything better yet

When it breaks:

• Monthly campaign reports where the same stat columns need to be refreshed every cycle
• Subscriber imports with custom field values that need to be mapped per row
• Any flow involving more than one MailerLite group or segment at a time
• Situations where you need the outcome written back into the Sheet (IMPORTED / ERROR per row)

The real cost is the reconciliation step. You upload the CSV, MailerLite processes it, and then you have no idea which rows failed without clicking through the import results page. For a 900-row import before a welcome sequence launches tomorrow morning, that is not an acceptable feedback loop.

Method 2: Use Zapier or Make to Sync When Rows Change

The next step up is event-driven automation. Zapier and Make both support MailerLite — you can wire a trigger that fires when a new row appears in a Sheet and calls the MailerLite API to add the subscriber.

This works for event-driven moments:

• New form submission → add subscriber to MailerLite group
• New CRM row → update subscriber custom fields
• New sale recorded → create an order in MailerLite shop

This fails for batch or analytical work:

• Importing 900 existing subscribers in one go — automation tools are not built for bulk backfills
• Pulling campaign stats across 60 days of sends and writing them all into a Sheet
• Creating 10 segments from a Sheet of segment definitions
• Writing outcomes back per row (Zapier adds rows, it does not annotate existing ones easily)

Zapier and Make fire once per trigger event. They do not loop through a Sheet and process every row as a batch. They also do not understand that "column A is email, column B is first name, column C is course name, write IMPORTED or ERROR into column D" — that kind of row-level context awareness is not what automation platforms are built for.

Method 3: The Previous Generation — MailerLite Connector Add-Ons

Until recently, the best option for repeatable MailerLite to Sheets workflows was a category of add-ons that let you configure a field mapping between your Sheet columns and MailerLite subscriber attributes. You set up the mapping once, saved it, and ran the import or export on a schedule.

That was a real step up from manual CSV work. The mapping was reusable, the team could run it without touching the API, and the output was predictable.

But you were still responsible for everything the mapping did not cover. If you wanted to write SUCCESS or ERROR back into column D, you needed custom scripting. If you needed to create segments from a Sheet, not just import subscribers, you were back to manual. If the Sheet structure changed — a new column, a renamed header — the mapping broke until someone remapped it. The tool handled the simple case. Everything else was still on you.

This is the category we think of as the previous generation. It worked, but it asked a lot of the operator.

The Easy Way: Using SheetXAI in Google Sheets

There is a different way 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 MailerLite integration it can import subscribers, pull campaign stats, create segments, sync group membership, and more — all without any field mapping or CSV work. You just ask.

Example 1: Your Data Is Already in the Sheet

You have a Sheet of 900 new students with email in column A, first name in column B, last name in column C, and course name in column D. The welcome sequence fires tomorrow.

Import all rows in this sheet as MailerLite subscribers into the group named 'New Students' using email in column A, first name in column B, last name in column C — set the custom field COURSE_NAME to column D for each. Write IMPORTED or ERROR into column E.

SheetXAI reads the sheet, calls the MailerLite API for each row, and writes the outcome back. You see exactly which rows succeeded and which ones need a second look. No CSV upload, no reconciliation page, no guessing.

Example 2: Your Data Lives Somewhere Else

If the data you need to act on is spread across tools — a CRM, an e-commerce platform, a form tool — SheetXAI can pull it into the sheet first and then push it into MailerLite in the same prompt:

Pull all orders from Shopify for the past 90 days that have not been imported into MailerLite yet, write them into this sheet, then bulk import them into MailerLite shop [ID] using customer email in column A, order ID in column B, and total value in column C.

SheetXAI fetches the data, writes it into the sheet, and runs the MailerLite import. One prompt, end to end, with the sheet as the working layer between the two systems.

Which Method Should You Use

For a genuine one-off with a small list and no custom fields, the CSV upload in MailerLite's dashboard is fine. For event-driven work where a form submission or CRM record should always trigger a subscriber add, Zapier or Make are a reasonable fit.

For batch imports, campaign stat pulls, segment creation, group membership changes, or any flow where you need the outcome written back into the sheet per row, SheetXAI is the only option that handles it in one prompt. The MailerLite integration is bidirectional — you can push data in and pull data out — and it understands your sheet structure without any mapping configuration.

If you are doing this work on a recurring basis, or if you have more than a few hundred rows to handle, the time saved on the second run pays for the first.

Try It

Get the 7-day free trial of SheetXAI and open any Sheet with subscriber data, campaign results, or order records, then ask it to push or pull from MailerLite. The MailerLite integration is included in every plan.

For specific workflows, see how to bulk import subscribers from a Sheet, how to export campaign stats for a performance review, or browse the full integrations directory.