Head-to-headAttribution comparison·10 min read

Elevar vs Northbeam

Server-side plumbing vs warehouse-grade attribution.

The 30-second answer

The honest verdict, before the deep comparison.

Both are infrastructure-grade tools, but they solve different layers. Elevar fixes the conversion data going into ad platforms and warehouses. Northbeam takes that (or any) data and turns it into MTA + MMM. The most rigorous Shopify stacks run both.

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	Elevar	Northbeam
Founded	2018	2020
HQ	Atlanta, USA	San Francisco, USA
Funding	Bootstrapped + small seed	Series A - $15M raised
Methodology	Server-side data layer that powers downstream attribution; not an attribution model itself.	Deterministic multi-touch attribution + nightly MMM on top.
Price (monthly)	$50 - $1,500	$1000 - $10,000
Spend range	$10K-$2M monthly ad spend (broad)	$250K-$5M monthly ad spend
Storefronts	Shopify Plus, Shopify, Headless Shopify	Shopify Plus, Custom commerce, Shopify
API style	REST + GTM Server-Side	REST + Snowflake share
Warehouses	BigQuery, Snowflake, Redshift (via export)	Snowflake (native), BigQuery, Redshift

Capability matrix

The seven dimensions that actually differentiate them

Hover any cell for the evidence note.

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

Elevar$50 - $1,500+

Northbeam$1,000 - $10,000+

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.

Elevar

Elevar: where it shines, where it falls short

Where it shines

Server-side data layer is the gold standard for Shopify - nothing else comes close.
Recovers 20-40% of conversions Meta would otherwise miss after ATT.
Plays well with every other tool in the stack rather than competing.
Headless Shopify (Hydrogen) support that actually works.

Where it falls short

Not a dashboard tool - you'll still need Triplewhale, Northbeam, or warehouse BI on top.
Implementation requires technical chops or an agency partner.
Channel Reporting feels like a side project compared to the data layer.
Expensive at scale once you cross $2M/mo orders.

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.

Elevar ICP

When Elevar is the right tool

Right tool when

Shopify brands serious about data quality and willing to invest in infrastructure.
Stacks that already use Triplewhale or Northbeam and need better signal feeding them.
Headless commerce or technical marketing teams.

Wrong tool when

Founders who want a single dashboard out of the box.
Non-Shopify storefronts.
Brands without technical marketing capacity to maintain the data layer.

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.

Final read

Most stacks don't actually have to pick.

Server-side plumbing vs warehouse-grade attribution. 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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