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. Then the CAPI Enhancer sends first-party, de-duplicated conversions back so the algorithm optimizes on signal the browser loses.

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Connect LinkedIn Ads See the setup
Google Sheets → Polar

What you can bring in

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
Signal back
"Can I send conversions back?"
The CAPI Enhancer sends first-party, de-duplicated conversions back to LinkedIn Ads.
first-party signal
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

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 own

  • ROAS is LinkedIn Ads's number, before dedup, so it overclaims.
  • No blend with Meta, Google, Shopify or email.
  • No read on whether the spend is incremental.
  • Nothing reconciles against your real P&L.

LinkedIn Ads with Polar

  • Blended ROAS and MER after overclaiming is removed.
  • First-party conversions sent back via the CAPI Enhancer.
  • Geo-based incrementality proves the real lift.
  • Every dollar reconciled into blended CAC and margin.
Setup Guide

Connect LinkedIn Ads.

01 · What you need
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 powers the conversions the CAPI Enhancer sends back.

02 · Connect LinkedIn Ads
1

Connect LinkedIn Ads talk to Polar

Spend into blended reporting.
Polar ingests your ad spend, delivery and campaign performance and folds it into blended ROAS, MER and CAC next to every other channel.
2

Send signal back ~2 min

First-party, deduped.
The CAPI Enhancer sends first-party, de-duplicated conversions back, so the algorithm optimizes on the conversions the browser dropped.
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, then send first-party conversions back with the CAPI Enhancer.

Book a demo Connect your data ↗
The Gap

The 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

Judged on the whole business.

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. Polar folds LinkedIn Ads into blended ROAS, MER and CAC next to every other channel, sends first-party conversions back with the CAPI Enhancer so the algorithm optimizes on real signal, and lets you run a geo-based incrementality test to prove how much of the revenue you would not have earned anyway. You stop scaling on a platform's self-report and start scaling on causation.

What makes it real

Deduplicated ROAS. LinkedIn Ads after overclaiming is removed, blended with every channel.

Incrementality. Geo-based holdouts prove the real lift, independent of LinkedIn Ads.

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

See how the blended view works
Other Use Cases

Other use cases

Use case 01

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Placeholder. The use case skill fills this. (rung: see it)

See the use case › Use case 02

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Placeholder. The use case skill fills this. (rung: report it)

See the use case › Use case 03

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Placeholder. The use case skill fills this. (rung: analyze it)

See the use case › Use case 04

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Placeholder. The use case skill fills this. (rung: decide from it)

See the use case › Use case 05

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Placeholder. The use case skill fills this. (rung: act on it)

See the use case ›
Your Prompt Library

LinkedIn Ads in plain language

A scannable wall of sample prompts for your LinkedIn Ads data inside Polar. Ask Polar, or Claude with the Polar MCP connected.
See it
Show my LinkedIn Ads spend and ROAS for the last 30 days.
Break down LinkedIn Ads spend by campaign.
Show LinkedIn Ads next to my other channels.
Analyze it
Compare LinkedIn Ads's reported ROAS to blended after dedup.
Show blended CAC with and without LinkedIn Ads.
Is LinkedIn Ads spend incremental, based on my geo test?
Decide from it
Should I scale LinkedIn Ads on a blended basis?
If I shifted budget to LinkedIn Ads, what happens to blended CAC?
Summarize how LinkedIn Ads performance changed since last month.
Get started · connect once · judged blended

Every LinkedIn Ads dollar, in one view.

Connect LinkedIn Ads for blended reporting, send first-party conversions back, run an incrementality test, and ask Polar what it actually did, all in.

Get started by booking a demo Connect your data in Polar
Phase 1 talk to PolarConnect LinkedIn AdsSpend folded into blended reporting.
Phase 2 ~2 minSignal backFirst-party conversions to LinkedIn Ads.
Phase 3 the payoffProve the liftGeo-based incrementality, blended and deduped.