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Amazon DSP integration

Amazon DSP in Polar: spend in, real signal out.

Connect Amazon DSP and programmatic display spend, impressions and reach flow into Polar's blended ROAS, MER and CAC, next to Meta, Google and the rest. Programmatic reach is read against real orders, so upper-funnel spend is judged on incremental revenue, not impressions.

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Connect Amazon DSP See the setup
Google Sheets → Polar

What you can bring in

Spend, blended
"Is Amazon DSP in my blended numbers?"
Programmatic display spend, impressions and reach folded into blended ROAS, MER and CAC alongside every channel.
spend + ROAS
Reach vs revenue
"Is my reach spend working?"
Programmatic reach read against real orders and incremental revenue.
reach vs orders
Deduplicated ROAS
"Amazon DSP over-credits itself."
Amazon DSP'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 Amazon DSP spend incremental?"
Geo-based incrementality testing proves Amazon DSP's incremental impact.
GeoLift holdout
True CAC
"What did Amazon DSP really cost per customer?"
Amazon DSP spend against real new customers, blended into CAC and margin.
blended CAC

Amazon DSP gives you Amazon DSP's number. Your business is one.

Amazon DSP 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.

Amazon DSP on its own

  • ROAS is Amazon DSP'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.

Amazon DSP with Polar

  • Blended ROAS and MER after overclaiming is removed.
  • Reach read against real orders and incremental revenue.
  • Geo-based incrementality proves the real lift.
  • Every dollar reconciled into blended CAC and margin.
Setup Guide

Connect Amazon DSP.

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 →
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A Amazon DSP account

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

Open Amazon DSP →

The AI data engineer

Amazon DSP is ingested and blended; reach is read against real orders and incrementality.

02 · Connect Amazon DSP
1

Connect Amazon DSP talk to Polar

Spend into blended reporting.
Polar ingests your programmatic display spend, impressions and reach and folds it into blended ROAS, MER and CAC next to every other channel.
2

Read against orders ~2 min

Reach vs revenue.
Programmatic reach is read against real orders, so awareness spend is judged on incremental revenue, not impressions.
3

Prove the lift the payoff

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

Judge Amazon DSP on the whole business, not its own dashboard.

Connect Amazon DSP for blended reporting and read it against real orders and incrementality.

Book a demo Connect your data ↗
The Gap

The connector is only half of it.

Once your Amazon DSP spend and performance are clean and attributed inside 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.
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Amazon DSP

spend, impressions, reach
Polar

Polar

clean, blended, attributed

Ask Polar

Polar MCP

Scheduled reports

Featured Use Case

Judged on the whole business.

Judged on the whole business

Amazon DSP looks however Amazon DSP 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 Amazon DSP into blended ROAS, MER and CAC next to every other channel, reads programmatic reach against real orders, 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. Amazon DSP after overclaiming is removed, blended with every channel.

Incrementality. Geo-based holdouts prove the real lift, independent of Amazon DSP.

Ask Polar, in plain language. “Show Amazon DSP'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

Amazon DSP in plain language

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

Every Amazon DSP dollar, in one view.

Connect Amazon DSP for blended reporting, read it against real orders, 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 Amazon DSPSpend folded into blended reporting.
Phase 2 ~2 minRead vs ordersReach against real orders.
Phase 3 the payoffProve the liftGeo-based incrementality, blended and deduped.