Head-to-headAttribution comparison·10 min read

Northbeam vs Polar Analytics

Methodology vs speed - one tier up from the Polar/TW conversation.

The 30-second answer

The honest verdict, before the deep comparison.

Polar gets you a platform-blended dashboard fast and cheap. Northbeam gets you defensible MTA + MMM at 5-10x the price. The crossover is the same as Triplewhale vs Northbeam: around $500K-$1M monthly spend, when the cost of bad attribution starts to outweigh the cost of more rigorous tooling. EU brands often run Polar first and graduate to Northbeam.

Pick a side - we'll give you the honest case for it

Spec comparison

The numbers, side by side

Pricing, methodology, ICP, and integrations laid out without the marketing gloss.

Spec	Northbeam	Polar Analytics
Founded	2020	2018
HQ	San Francisco, USA	Paris, France
Funding	Series A - $15M raised	Series B - $50M total raised
Methodology	Deterministic multi-touch attribution + nightly MMM on top.	Platform-blended last-click via server-side pixel + Shopify orders, with strong custom-dashboard layer.
Price (monthly)	$1000 - $10,000	$300 - $3,000
Spend range	$250K-$5M monthly ad spend	$30K-$500K monthly ad spend (EU + US Shopify)
Storefronts	Shopify Plus, Custom commerce, Shopify	Shopify, Shopify Plus
API style	REST + Snowflake share	REST + warehouse share
Warehouses	Snowflake (native), BigQuery, Redshift	BigQuery, Snowflake, Redshift

Capability matrix

The seven dimensions that actually differentiate them

Hover any cell for the evidence note.

Capability	Northbeam	Polar Analytics
Creative-level attribution	4/5	4/5
Incrementality testing	5/5	2/5
Cross-channel coverage	5/5	4/5
Data export / warehouse	5/5	4/5
Speed to value	3/5	5/5
Accuracy of claims	4/5	3/5
Support quality	4/5	4/5

Hover any cell for the evidence note · scores 0-5, evidence-weighted

Pricing

What you'll actually pay

Indicative monthly USD ranges based on public plans and customer reports as of 2026.

Monthly price range (USD)

Northbeam$1,000 - $10,000+

Polar Analytics$300 - $3,000+

Indicative monthly USD pricing based on public plans and customer reports as of 2026. Actual quotes vary by ad spend, contact volume, and annual commit.

Northbeam

Northbeam: where it shines, where it falls short

Where it shines

Methodologically the most serious tool in the category.
Snowflake share is included, not gated.
MMM + MTA blend gives you both the trend and the diagnosis.
Cross-channel coverage including CTV and Reddit.

Where it falls short

Price wall starts at $1K/mo - not for sub-$250K/mo accounts.
Onboarding is heavy; MMM takes 90 days to be useful.
UX is denser than Triplewhale; needs a power user.
Less mindshare among Shopify-native operators than Triplewhale.

Polar Analytics

Polar Analytics: where it shines, where it falls short

Where it shines

European data residency, GDPR-aware vendor, EUR/GBP pricing.
Warehouse export available at mid-tier, not enterprise.
Custom dashboards (drag-and-drop pivots) outclass Triplewhale's fixed views.
Strong DACH and UK presence; multilingual CSM.

Where it falls short

Smaller mindshare in the US; less of an ecosystem than Triplewhale.
Methodology is functionally identical to Triplewhale - same blended-last-click trade-offs.
Less Shopify-specific tooling than the Shopify-native incumbents.
Brand is unfamiliar to US-based agency partners.

Northbeam ICP

When Northbeam is the right tool

Right tool when

DTC brands at $1M+/mo spend with a real measurement question.
Teams with at least one analyst who can live in the tool.
Multi-channel stacks where TV or radio is part of the mix.

Wrong tool when

Sub-$250K/mo accounts - the price doesn't pay back.
Teams that just want a dashboard and don't want to think about methodology.
Buyers who can't tolerate a 2-4 week implementation.

Polar Analytics ICP

When Polar Analytics is the right tool

Right tool when

EU and UK Shopify brands wanting a Triplewhale-shaped tool with European support and billing.
DACH-region growth teams that need GDPR-aware tooling.
Brands that need warehouse export without paying enterprise rates.

Wrong tool when

Brands that need rigorous incrementality testing - this is platform-blended.
Non-Shopify storefronts.
Buyers who specifically want US-based CSM coverage.

Final read

Most stacks don't actually have to pick.

Methodology vs speed - one tier up from the Polar/TW conversation. The two tools above sit at different layers or serve different audiences more often than they directly compete. If you find yourself stuck choosing between them, the question is usually about budget, team capability, or business model - not which feature set is "better."

Other comparisons

Comparing more pairs

Dedicated vs pages for every pair in the four-way matrix.

See all four side-by-side →

Sources

What we read to build this

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