How to Connect LinkedIn Ads to Google Sheets (4 Methods Compared)

The Problem With Getting Sheet Data In and Out of LinkedIn Ads

You have a Google Sheet full of data — campaign IDs, targeting criteria, creative performance benchmarks, audience segment lists. You need it pushed into LinkedIn Ads, or pulled back out, without spending the better part of a Tuesday doing it by hand.

LinkedIn Ads is good at running B2B campaigns at scale, with targeting precision that no other ad platform matches. But moving data between it and your spreadsheet requires either a developer or a tolerance for tedium that most marketers don't have. The usual flow is: export a CSV from Campaign Manager, open it in Sheets, reformat the columns, paste the data somewhere useful, and start over next week.

Below are the four common ways teams handle this. Only the last one scales.

Method 1: Manual Copy-Paste

The default. Log into Campaign Manager, navigate to the reporting tab, adjust the date range, export a CSV, open it in Google Drive, reformat the headers so they match your existing sheet, copy the rows across, delete the duplicates, and repeat.

If you run more than three campaigns, this is already an afternoon. If you run campaigns across multiple accounts — a common agency reality — it becomes a spreadsheet archaeology project every single time. The particular grind of LinkedIn Ads reporting is that the Campaign Manager UI exports each metric with its own column format, and none of them ever match what your sheet already expects. So the cleanup is never just copy-paste. There's always a reshape step in the middle. Then another one next week.

Method 2: Zapier or Make

Both platforms have LinkedIn Ads connector options. You can wire up a scheduled trigger, call the LinkedIn Ads API for campaign data, and write the result back into your sheet.

Before you go further — a quick calibration. Do you know what an OAuth2 app registration looks like? Have you mapped API response fields to sheet columns before? Are you comfortable debugging a Zap that fires but writes nothing because a nested JSON key name changed between LinkedIn API versions? If any of that sounds uncertain, this path is going to cost you more time than the manual export did.

For the people still here: the automation works, eventually. You pick a trigger (time-based is most common for reporting), authenticate the LinkedIn Ads connector, specify the account ID, choose your metrics, map the fields by hand to your sheet columns, and test until the data lands correctly. The setup takes a few hours if you know what you're doing. Longer if you don't.

But a trigger-per-row or a single-campaign pull is not the same as a bulk analytics report.

If you want impressions, clicks, CTR, and spend for all 12 campaigns in a single table, you're probably firing 12 separate API calls and trying to stitch the rows together downstream. That's where the debugging gets ugly.

You probably just need the campaign performance table. You probably have no idea how the LinkedIn Ads API paginates analytics responses, and you shouldn't have to. So you ask whoever on your team builds Zaps, and now you're sitting in Slack waiting for them to get to it between the three other things that are also on fire.

Method 3: The Previous Generation — Connector Add-Ons

Until recently, the best option for repeatable sheet-to-LinkedIn-Ads workflows was a category of add-ons that let you configure column mappings and save templates. You picked your range, you tagged your fields, you saved a config, you ran it.

That was a real step up from exporting CSVs. Output was consistent, the team wasn't reformatting headers every week, and configs were reusable across reporting cycles.

But you were still the one defining every field mapping. You were still the one deciding which campaigns to include, which metrics to pull, how to handle multi-account merges. The add-on got the data through the pipe — the analytical thinking was still entirely yours. And the moment LinkedIn updated a column name or you restructured your campaign naming convention, the config broke until someone went back in and rebuilt it.

This is the previous generation. It worked. It just worked slowly and broke often.

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 LinkedIn Ads integration it can push to or pull from LinkedIn Ads for you. No template configuration, no automation glue, no reformatting columns by hand. You just ask.

Example 1: Pull all campaign metrics for the last 30 days

Pull LinkedIn Ads analytics for all campaigns in account ID 12345 for the last 30 days and write the campaign name, impressions, clicks, spend, and conversions starting in column A

Every campaign lands as its own row. Impressions in column B, clicks in column C, spend in column D, conversions in column E. If a campaign has no data for the period, the row still appears with zeros so nothing goes missing.

Example 2: Match campaign IDs in column A to their current status and budget

Look up each LinkedIn campaign ID in column A and write the campaign name, status, daily budget, and objective into columns B through E

The pattern: instead of navigating to Campaign Manager and cross-referencing manually, you ask for the lookup and the writeback in a single prompt. SheetXAI handles the field matching inline.

Try It

Get the 7-day free trial of SheetXAI and open any Google Sheet with LinkedIn campaign IDs or account data, then ask it to pull the metrics you've been exporting by hand. The LinkedIn Ads integration is included in every SheetXAI plan.