What is Northbeam?
Northbeam is a multi-touch attribution and media mix modeling platform built for direct-to-consumer and ecommerce brands running serious paid media budgets. Instead of crediting only the last click before purchase, Northbeam uses machine learning to distribute fractional credit across every touchpoint in the customer journey — so if a buyer saw a TikTok ad, clicked a Facebook ad, and then converted, each channel gets a weighted share of the credit. The platform tracks $25 billion in ad spend and 2.1 trillion impressions to date, with customers including The Ridge, Jones Road Beauty, HexClad, and Timex. In October 2025, Northbeam raised a strategic growth investment from HighPost Capital and Silversmith Capital Partners and launched its deterministic view-through attribution model — the first to tie verified video impressions to actual purchases without probabilistic estimation.
Key Takeaways
- Northbeam assigns fractional credit across all paid touchpoints so total attributed revenue never exceeds actual sales.
- Pricing is based on pageview volume, not tracked revenue — a structural cost advantage for high-AOV, lower-traffic DTC brands.
- The $999/month minimum effectively limits Northbeam to brands spending at least $50K/month on paid media.
- Its October 2025 deterministic view-through model is the first to use verified impression data rather than probabilistic modeling for video attribution.
- Northbeam expertise appears almost exclusively as part of broader paid media or growth marketing roles, not as a standalone hire.
How Northbeam Attribution Works
The core insight behind Northbeam is that platform-native attribution lies by omission. Meta counts every click that preceded a purchase as a conversion; Google does the same. Run both simultaneously and you'll find they collectively claim credit for 200% of your actual revenue. Northbeam resolves this by pulling order data from your ecommerce platform, matching it to a proprietary pixel plus direct API connections to every ad platform, then running a machine learning model that distributes fractional credit across the full journey. The result is a channel-level view where all attribution shares sum to 100% of real revenue — not inflated platform numbers. For media buyers managing $100K+ monthly across five channels, this is the difference between guessing and knowing where to shift budget.
Key Features
Northbeam's Multi-Touch Attribution is the foundation: fractional credit modeling across Meta, Google, TikTok, Pinterest, Snap, email, and SMS. MMM Plus adds a probabilistic media mix modeling layer for scenario planning and forecasting — useful when you need to model what happens if you shift $50K from Meta to TikTok. Creative Analytics breaks performance down by individual ad creative across channels, removing the need to export data into separate tools for creative iteration. Northbeam Apex sends order-level data back to Meta to improve its algorithm training, with an enhanced version rolling out in early 2026 that adds A/B testing capabilities. The Clicks + Deterministic Views model — launched October 2025 — is the standout new feature: it ties verified video impressions to specific purchase events, giving video-heavy advertisers something closer to proof than inference.
Northbeam vs. Triple Whale
Triple Whale starts at $129/month and is Shopify-exclusive — a strong fit for newer brands wanting simple attribution without a steep learning curve. Northbeam starts at $999/month but supports Shopify, WooCommerce, BigCommerce, Magento, and custom builds, making it the more flexible option for brands not fully on Shopify. The pricing structures also diverge in a way that matters for certain categories: Triple Whale charges based on tracked revenue, while Northbeam charges based on pageview volume. For a jewelry brand doing $500K/month on 20,000 site visits, Northbeam can come out meaningfully cheaper. Triple Whale is the better default for sub-$50K/month advertisers; Northbeam is the stronger choice once media complexity and budget scale justify the cost.
Pricing
Northbeam has three paid tiers with no free plan or trial. Starter (~$999/month) covers brands under roughly $250K monthly ad spend, with MTA, 4x daily data refreshes, and Shopify plus ad platform integrations. Professional (~$2,500/month) adds Creative Analytics, export API access, multi-domain support, and compatibility with non-Shopify platforms. Enterprise (custom pricing) is built for brands spending over $500K/month and includes unlimited domains, high-volume data processing, and up to 18 annual media strategy sessions with a Northbeam advisor. There is no setup fee, but prospective buyers should contact sales for an exact quote since pricing scales with pageview volume.
Northbeam in the Fractional Talent Context
Northbeam fluency shows up primarily in fractional and contract roles at DTC brands scaling past $50K/month in paid media — not as a standalone job description, but as a screening criterion inside performance marketing or growth roles. The typical hire is a media buyer or growth consultant who can interpret multi-touch attribution data, explain why Northbeam numbers differ from Meta Ads Manager, and make confident budget allocation decisions from the model. Agencies managing portfolios of 5–20 DTC brands are the most consistent source of freelance demand. We see Northbeam increasingly paired with creative strategy work: brands want someone who can connect attribution data to creative performance, not just report numbers. That combination — attribution fluency plus creative analytics — is the high-value skill pairing in 2026.
The Bottom Line
Northbeam has earned its position as the attribution platform of choice for serious DTC advertisers who need to reconcile conflicting numbers across Meta, Google, and TikTok. The October 2025 deterministic view-through model and Apex Meta integration put it a step ahead of competitors on data accuracy. The $999/month floor means it is not for everyone — but for brands where paid media is the primary growth lever, Northbeam expertise signals a practitioner who understands attribution at the level where it actually drives budget decisions.
