Enterprise-grade DTC attribution + incrementality testing + media-mix modeling in one platform.
Northbeam is the deepest attribution + measurement platform aimed at $5M+ DTC brands - combining server-side attribution stitching with real holdout-based incrementality testing and a media-mix modeling layer most competitors lack.
What Northbeam is, in one paragraph
Northbeam is the high end of the DTC measurement stack. It does what Triple Whale and Hyros do (attribution stitching, CAPI signal cleaning) and then adds two layers most competitors don't: native incrementality testing via real geo-holdouts and a media-mix model that estimates channel contribution at the spend-curve level. The bundle is aimed at brands large enough to need all three layers operating together rather than as separate point tools.
The product's heritage is data-science-first. Founder Thomas Bell came out of a quant-finance background; the early product reflected that - more rigorous methodology, less polished UX than Triple Whale. The 2024-2026 versions have closed the UX gap meaningfully while keeping the methodological edge.
Northbeam is not built for the long tail. The pricing floor ($1,000+/mo and effectively $1,500-3,000+/mo for most brands), the implementation depth (4-8 weeks for proper setup), and the operational sophistication required all signal: this is a product for brands that have a dedicated analytics function or strong agency partner.
Signature features
What stands out
Real incrementality testing (not just attribution)
Geo-holdout experiments natively in the platform. Most attribution tools tell you which ad got credit for a sale; Northbeam can tell you whether that ad caused incremental revenue at all. Different question, harder to answer, more valuable for brands at scale.
Media-mix modeling
Channel-level spend-curve modeling that estimates 'if you'd spent $100k more on Meta and $100k less on TikTok, what would have happened'. The MMM layer informs strategic budget allocation in a way per-ad attribution can't.
Cross-device journey reconstruction
Same identity-resolution capabilities as Hyros and Triple Whale - email + IP + device fingerprint stitching - but with better methodology around when to weight which signal. The 'clean attribution' baseline is reliably higher than competitors.
Customer cohort analytics
Segments customers by acquisition channel + cohort and tracks LTV / retention / repeat-purchase per cohort. This is where Northbeam's depth actually matters operationally - the cohort lens reframes ad-spend decisions in LTV terms instead of CAC terms.
Native CAPI to all major ad platforms
Meta, Google, TikTok, YouTube, Snap, Pinterest. Server-side conversion deduplication across all of them. Table stakes at this tier; Northbeam executes the table stakes well.
Custom reporting + Slack integration
Automated daily/weekly reports pushed to Slack channels. Highly configurable. Designed for teams that report to leadership weekly and want consistent, defensible numbers.
Pricing snapshot
Plans at a glance
Growth
From ~$1,000/mo
$2-5M brands with strong analytics
Scale
From ~$2,500/mo
$5-20M brands, primary use case
Enterprise
Custom
$20M+ brands and multi-brand groups
Shuttergen
Attribution tells you what worked. Shuttergen tells you what to ship next.
Northbeam shows which ad converted. Shuttergen shows which 10 variants of that ad to ship next - tuned to your brand and the winners in your niche.
Fit
Who this is - and isn't - for
Best for
- · DTC brands $5M-100M+/yr with dedicated analytics resourcing
- · Brands where ad spend exceeds $100k/mo and budget decisions need defensible measurement
- · Multi-brand DTC groups needing consolidated measurement across portfolio
- · Agencies serving $5M+ DTC clients who need to justify spend to brand-side CFOs
Skip if
- · Sub-$2M DTC brands - the price floor and implementation overhead dominate the value
- · Info-product, coaching, or high-AOV creator businesses - Hyros fits that workflow better
- · Shopify brands looking for an out-of-box dashboard - Triple Whale is meaningfully more turnkey
- · Teams without dedicated analytics support - the tool's depth requires operational sophistication to extract value from
Where Northbeam beats Triple Whale and Hyros
Incrementality testing. Triple Whale and Hyros do attribution - they tell you which ad got credit. Northbeam does measurement - it tells you whether the credit corresponds to real incremental sales. The distinction matters at scale because attribution can be wrong in systematic ways (over-crediting last-click, under-crediting top-of-funnel) and only holdout experiments reveal the truth. Brands that have been over-spending on retargeting because the last-click attribution looked great are exactly the case Northbeam catches.
Media-mix modeling. Per-ad attribution is myopic - it answers 'which ad got the conversion' but not 'how should I split spend across Meta / TikTok / Google'. MMM answers the budget-allocation question with spend-curve estimates. For brands at $5M+ where the budget split matters as much as the per-creative decisions, MMM is load-bearing.
Cohort-level LTV analytics. Where attribution tools optimize CAC, Northbeam's cohort layer optimizes for CAC-relative-to-LTV - which is the actually-correct metric. The cohort layer is the reason serious DTC brands eventually migrate up to Northbeam from Triple Whale even when they were happy with TW operationally.
Where Northbeam loses
Sub-$5M DTC brands. The price floor and implementation depth dominate the value. Triple Whale at half the cost delivers 70-80% of the attribution layer; Northbeam's incrementality and MMM features don't earn their weight until ad spend is high enough that wrong budget allocation costs real money.
Info-product / coaching businesses. Northbeam was built for DTC ecommerce. The integrations (Shopify-first, then other ecommerce platforms) and the cohort analytics (assumes repeat-purchase model) don't fit info-product workflows. Hyros is the right tool there.
Turnkey-dashboard buyers. Triple Whale's pitch is 'plug in Shopify, see your data in 20 minutes'. Northbeam's pitch is 'commit to 4-8 weeks of implementation and you'll have measurement nobody else does'. Different value props, different buyers.
Self-serve buyers. Northbeam is a sales-led product. There's no public self-signup with a credit card. You book a demo, scope the engagement, sign a contract. If you want to evaluate fast and cheap, the buying motion is wrong for you.
Attribution tells you what worked. Shuttergen tells you what to ship next. Northbeam shows which ad converted. Shuttergen shows which 10 variants of that ad to ship next - tuned to your brand and the winners in your niche.
Implementation - what 4-8 weeks looks like
Weeks 1-2: tagging and data-source connections. Site tagging, server-side endpoints for Shopify / Stripe / CRM, ad-platform API connections, historical data backfill. Done by Northbeam's onboarding team alongside your engineering or agency partner.
Weeks 3-4: methodology calibration. Northbeam works with your team to set attribution windows, audience definitions, and reporting cadence. Decisions made here lock in the reporting structure for the next year - don't outsource them entirely to Northbeam, but trust their defaults where you don't have a strong preference.
Weeks 5-6: first incrementality experiment design. Geo-holdout test setup. Pick one channel, design a 4-6 week holdout, agree on success criteria. The first experiment is where Northbeam's value becomes visible to leadership - it usually reveals an attribution-vs-truth gap worth multiple times the annual subscription.
Weeks 7-8: MMM calibration and dashboard rollout. Media-mix model gets trained on your historical data, dashboards get configured per stakeholder group, Slack reports get scheduled. Soft launch internally; full team rollout in week 8.
Net: budget 4-8 weeks of partial team attention. Plan for 2 stakeholders (analytics owner + finance/leadership sponsor) to be heavily involved; the rest of the team can stay focused on operations.
Northbeam vs Rockerbox vs Triple Whale
Rockerbox is the closest enterprise competitor. Similar price band ($1,500-3,000+/mo), similar depth on attribution. Rockerbox has stronger fit for multi-channel offline-online brands (retail + DTC, B2B + B2C); Northbeam has stronger fit for pure DTC ecommerce. Both have credible MMM; Northbeam's is slightly more mature in 2026.
Triple Whale is one tier down in depth + price. $129-349/mo retail, broader self-serve adoption, less methodological rigor. The right tool for $1-5M brands that want a turnkey Shopify dashboard. Migration path to Northbeam happens around $5M ARR.
Hyros is a different shape entirely - info-product / coaching focus, no real measurement layer. Don't compare Hyros to Northbeam on attribution depth; they're built for different markets.
Internal: northbeam-pricing, northbeam-vs-triple-whale, triplewhale-deep-dive.
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Attribution tells you what worked. Shuttergen tells you what to ship next.
Northbeam shows which ad converted. Shuttergen shows which 10 variants of that ad to ship next - tuned to your brand and the winners in your niche.