Interactive comparisonAttribution platforms · 2026·16 min read

The DTC attribution platform landscape, compared

Triplewhale, Elevar, Northbeam, and Hyros are the names everyone knows. But the real landscape is wider - Polar Analytics is the European twin to Triplewhale, Funnel.io and Daasity own the warehouse layer, GA4-Direct is the DIY fallback half of mid-market still runs, Wicked Reports competes with Hyros in the high-ticket coaching world, and Rockerbox is what you graduate to when TV and OOH enter the mix. Ten tools, six categories, one matcher that points you at the right one.

The 30-second version

Six job-to-be-done categories. Most tools belong to one - a few span two.

Every DTC brand needs the answer to one question: which of my ads actually drove that order? Meta gives you one answer, Google another, GA4 a third, and your bank account a fourth. The tools below exist to reconcile that mess, but they do it from completely different angles:

  • Dashboards (Triplewhale, Polar Analytics) - fast to set up, beautiful creative reporting, Shopify-native.
  • Server-side data layer (Elevar) - plumbing that fixes the conversion data feeding everything else.
  • MTA + MMM (Northbeam, Rockerbox) - real multi-touch attribution + media-mix modeling for $1M+/mo spenders.
  • Warehouse-native (Funnel.io, Daasity) - data team gets neutral rows in Snowflake/BigQuery and builds the attribution model themselves.
  • Funnel + info-product (Hyros, Wicked Reports) - first-party tracking for coaches, courses, and high-ticket B2C with multi-week cycles.
  • DIY fallback (GA4 + Direct APIs) - the no-vendor baseline half of $50-150K/mo brands still run.

Most sophisticated stacks run two or three of them at once - usually Elevar (data layer) plus one of the dashboards or MTA tools, sometimes feeding a Funnel/Daasity warehouse on top. None is universally “best.”

Categories

Six categories, ten tools

Each category exists because a different buyer profile needs a different shape of answer. The cards below link to the per-tool deep dives.

Server-side data layer

Plumbing that recovers signal lost to ATT, ad blockers, and browser changes. Pairs with everything else.

server side pixel

Elevar

Server-side conversion tracking and data-layer infrastructure for Shopify brands.

Spend range
$10K-$2M monthly ad spend (broad)
From
$50/mo
Read the deep dive

Capability matrix

What each platform actually does well

Scores are evidence-weighted, not vendor-supplied. Hover any cell to see the note behind the score. Scroll horizontally on smaller screens.

CapabilityTriplewhaleElevarNorthbeamHyrosPolar AnalyticsFunnel.ioDaasityGA4 + Direct API stackWicked ReportsRockerbox
Creative-level attribution
5/5
2/5
4/5
3/5
4/5
2/5
3/5
2/5
3/5
3/5
Incrementality testing
3/5
2/5
5/5
2/5
2/5
3/5
3/5
1/5
2/5
5/5
Cross-channel coverage
4/5
4/5
5/5
4/5
4/5
5/5
4/5
2/5
4/5
5/5
Data export / warehouse
3/5
5/5
5/5
3/5
4/5
5/5
5/5
4/5
3/5
5/5
Speed to value
5/5
3/5
3/5
3/5
5/5
2/5
3/5
2/5
3/5
2/5
Accuracy of claims
3/5
5/5
4/5
3/5
3/5
4/5
4/5
2/5
3/5
4/5
Support quality
4/5
4/5
4/5
3/5
4/5
4/5
4/5
1/5
4/5
4/5

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

Pricing

Monthly cost, side by side

Pricing is the single most predictable filter for which platform you'll actually end up on. Below is the realistic monthly USD range based on public plans and customer reports as of 2026.

Monthly price range (USD)
Triplewhale$129 - $2,500+
Elevar$50 - $1,500+
Northbeam$1,000 - $10,000+
Hyros$199 - $5,000+
Polar Analytics$300 - $3,000+
Funnel.io$1,500 - $15,000+
Daasity$1,500 - $5,000+
GA4 + Direct API stack$0 - $200+
Wicked Reports$295 - $1,500+
Rockerbox$3,000 - $15,000+

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.

Pick a tool in 3 questions

Tell us about your stack. We'll point you at the closest fit.

What's your monthly paid ad spend?

What's your storefront?

What's the primary problem you're solving?

How much do you care about owning the raw data?

Pairwise deep dives

Comparing two platforms head-to-head

Most buyers narrow it to two candidates. Below is the dedicated vs page for each pair we cover.

Honest take

None of these will fix bad creative or a bad offer.

Attribution tooling is necessary infrastructure - it tells you which way the wind is blowing. But the wind itself is creative quality, offer/market fit, and the iteration loop that turns insights into new ads. The tools above will sharpen your decisions; they won’t make new decisions for you. Pair the right tool with a creative engine that ships ad concepts at the rate Andromeda demands, and you have a real growth stack.

Sources

What we read to build this

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