LinkedIn Ads integration

LinkedIn Ads in Polar: spend in, real signal out.

Connect LinkedIn Ads and ad spend, delivery and campaign performance flow into Polar's blended ROAS, MER and CAC, next to Meta, Google and the rest. Polar re-attributes them with its own first-party Pixel, so the return you read is after LinkedIn Ads's overclaiming is removed and comparable to every other channel.

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LinkedIn Ads → Polar

Every LinkedIn Ads dollar, deduplicated and blended.

Spend, campaign detail and conversions from LinkedIn Ads into blended ROAS, MER and CAC, reported after platform overclaiming is removed, so the number compares to every other channel.
Spend, blended
"Is LinkedIn Ads in my blended numbers?"
Ad spend, delivery and campaign performance folded into blended ROAS, MER and CAC alongside every channel.
spend + ROAS
Deduplicated return
"LinkedIn Ads over-credits itself."
ROAS after platform overclaiming is removed, on Polar's own attribution rather than LinkedIn Ads's.
deduped vs reported
Deduplicated ROAS
"LinkedIn Ads over-credits itself."
LinkedIn Ads's ROAS after platform overclaiming is removed, blended with the stack.
deduped vs reported
Campaign detail
"Break it down the way I run it."
One row per campaign and line item, refreshed automatically.
by campaign
Incrementality
"Is LinkedIn Ads spend incremental?"
Geo-based incrementality testing proves LinkedIn Ads's incremental impact.
GeoLift holdout
True CAC
"What did LinkedIn Ads really cost per customer?"
LinkedIn Ads spend against real new customers, blended into CAC and margin.
blended CAC
Setup Guide

How to Connect LinkedIn Ads to Polar.

Polar

A Polar account with Shopify

A Polar account with Shopify connected. This connector plugs in right next to your stack.

Connect your data →

A LinkedIn Ads account

Access to the LinkedIn Ads account(s) you want to link, so the data flows into blended reporting.

Open LinkedIn Ads →

The Polar Pixel

LinkedIn Ads is ingested and blended; the Polar Pixel attributes the orders it actually produced, first-party and de-duplicated.

1

Ask the AI Data Engineer for LinkedIn Ads ~ minutes

Plain language, no code.
Describe what you need from LinkedIn Ads in plain language. Polar's AI Data Engineer reads the LinkedIn Ads API, writes the connector and pipes the data into your warehouse as governed data, in minutes. No code.
2

Read it deduplicated automatic

After the platform's overclaiming.
Polar re-attributes LinkedIn Ads conversions against your real orders, so blended ROAS, MER and CAC are computed once and the channel is comparable to every other one.
3

Prove the lift the payoff

Incrementality.
Run a geo-based incrementality test to prove how much of LinkedIn Ads's revenue is truly incremental, independent of the platform.
Get started

Judge LinkedIn Ads on the whole business, not its own dashboard.

Connect LinkedIn Ads for blended reporting and read it deduplicated, on real margin, next to every other channel.

Side by side

LinkedIn Ads gives you LinkedIn Ads's number. Your business is one.

LinkedIn Ads reports its own performance in isolation, before dedup, and it cannot see the rest of your stack or tell you what is incremental. Polar can.

LinkedIn Ads on its ownon its own

+

LinkedIn Ads with Polarblended

ROAS is LinkedIn Ads's number, before dedup, so it overclaims.
Blended ROAS and MER after overclaiming is removed.
No blend with Meta, Google, Shopify or email.
Return computed after the platform's overclaiming is removed.
No read on whether the spend is incremental.
Geo-based incrementality proves the real lift.
Nothing reconciles against your real P&L.
Every dollar reconciled into blended CAC and margin.
The Gap

The LinkedIn Ads connector is only half of it.

Once your LinkedIn Ads spend and performance are connected to Polar, you can use them wherever you already work. Ask Polar in plain language, pull them live through the Polar MCP, or schedule a snapshot into the report your team reads every morning.

LinkedIn Ads

spend, delivery, conversions
Polar

Polar

clean, blended, attributed

Ask Polar

Polar MCP

Scheduled reports

Featured Use Case

LinkedIn Ads, judged on the whole business.

LinkedIn Ads looks however LinkedIn Ads wants it to look in its own dashboard: ROAS before dedup, credit for conversions other channels also claim, and no idea what is truly incremental.

Deduplicated ROAS

Deduplicated

LinkedIn Ads after overclaiming is removed, blended with every channel. Geo-based holdouts prove the real lift, independent of LinkedIn Ads.

Ask Polar, in plain language

No SQL

“Show LinkedIn Ads's blended ROAS after dedup and my last incrementality read.” No SQL, no export.

Your Prompt Library

15 prompts a connected LinkedIn Ads unlocks.

Spend and campaign detail on blended ROAS, the overclaim measured, conversions sent back, and the incrementality read.
Type
Audience
15 of 15
Get started · connect once · judged blended

Every LinkedIn Ads dollar, in one view.

Connect LinkedIn Ads for blended reporting, read it deduplicated on real margin, run an incrementality test, and ask Polar what it actually did, all in.

Phase 1 plain languageConnect LinkedIn AdsSpend folded into blended reporting.
Phase 2 ~2 minRead it deduplicatedReturn after the platform's overclaiming.
Phase 3 the payoffProve the liftGeo-based incrementality, blended and deduped.