Northbeam Review 2026

Summary

Northbeam is a marketing attribution and analytics platform built for direct-to-consumer brands and agencies that need to understand which marketing channels actually drive revenue. The platform combines multi-touch attribution (MTA), media mix modeling (MMM), and incrementality testing into a single interface. Over 800 companies use Northbeam to track $10 billion in ad spend and $49 billion in attributed revenue across channels like Meta, Google, TikTok, Snapchat, Amazon, Pinterest, and programmatic platforms.

The core problem Northbeam solves: ad platforms like Meta and Google overreport their own performance because they rely on last-click attribution and short lookback windows. Northbeam uses first-party data and machine learning to show the full customer journey -- from first awareness touchpoint to final conversion -- so marketers can see which ads create new demand versus which ones just retarget existing customers.

Northbeam was founded to give performance marketers an independent source of truth for ad performance. The platform is used by growth teams at brands like HexClad, Dr. Squatch, Grüns, Omnilux, Timex, Kizik, and Gardyn. It's particularly popular among brands spending $100k-$5M+ per month on paid media who need granular attribution data to justify budget allocation and improve ROAS.

Key Features

Multi-Touch Attribution with Infinite Lookback Windows: Northbeam tracks every customer touchpoint across all channels and attributes revenue using machine learning models that account for the full customer journey. Unlike platform-native attribution (which typically uses 1-7 day windows), Northbeam supports infinite lookback windows so you can see how a top-of-funnel YouTube ad viewed 60 days ago contributed to a conversion today. This is critical for brands with longer sales cycles or high consideration purchases. The attribution model weighs touchpoints based on their actual influence on the purchase decision, not just proximity to conversion.

Clicks + Deterministic Views: This is Northbeam's proprietary view-through attribution model -- the first deterministic (not probabilistic) view-through tracking in the industry. It attributes revenue to video ads and display impressions that users saw but didn't click on. This solves a major blind spot for brands running awareness campaigns on YouTube, TikTok, or programmatic display: you can finally measure the revenue impact of reach campaigns, not just direct-response clicks. The deterministic approach means it's based on actual user behavior data, not statistical modeling.

Media Mix Modeling Plus (MMM+): Northbeam's MMM+ is a modernized take on traditional media mix modeling. It runs continuously (not quarterly like legacy MMM) and lets you create flexible budget scenarios and forecasts. You can model "what if" scenarios like "What happens to revenue if I shift 20% of Meta budget to TikTok?" or "How much incremental revenue will I get from a 30% budget increase?" MMM+ is particularly useful for measuring channels that are hard to track on a click basis -- like TV, podcast sponsorships, retail partnerships, or brand campaigns. It accounts for seasonality, promotions, and external factors to isolate the true incrementality of each channel.

Northbeam Apex (Ad Platform Integrations): Apex sends your Northbeam attribution data directly back to ad platform algorithms (Meta, Google, TikTok, Snapchat) to improve their optimization. This goes deeper than standard Conversions API (CAPI) or server-side tracking. Apex feeds platforms with enriched conversion data -- including which conversions were truly incremental versus retargeting existing customers -- so the algorithms can optimize for new customer acquisition instead of just retargeting. Customers report 8-15% improvements in ROAS and CAC after enabling Apex. It's a one-click setup per platform.

New vs. Returning Customer Attribution: Northbeam automatically segments conversions by new versus returning customers and shows which ads are driving each. This is huge for identifying wasted spend: if 80% of conversions from a Meta campaign are returning customers, that campaign isn't creating new demand -- it's just intercepting people who were going to buy anyway. You can optimize toward new customer acquisition by reallocating budget away from retargeting-heavy campaigns.

Creative-Level Attribution: Track performance down to individual ad creatives, not just campaigns or ad sets. See which specific video, image, or headline is driving the most revenue. Northbeam integrates with creative management tools and lets you tag creatives by theme, format, or hook so you can analyze patterns (e.g. "UGC videos outperform studio content by 40%"). This helps creative teams understand what's working and produce more of it.

Channel and Campaign Dashboards: Pre-built dashboards for every major ad platform with metrics like ROAS, CAC, LTV, conversion rate, and attributed revenue. Dashboards update 4 times per day on standard plans (hourly on enterprise plans). You can customize views, set date ranges, apply filters, and export data. The interface is designed for daily use by media buyers -- fast, clean, and focused on the metrics that matter.

Incrementality Testing: Run holdout tests to measure the true incremental lift of a channel or campaign. Northbeam helps you set up geo-based or audience-based holdouts and measures the difference in conversions between the test and control groups. This answers the question "Would these conversions have happened anyway without this ad spend?" -- critical for justifying budget to CFOs.

Integrations with 20+ Ad Platforms: Native integrations with Meta, Google Ads, TikTok, Snapchat, Pinterest, Amazon Ads, Microsoft Ads, X (Twitter), Yahoo, The Trade Desk, Criteo, AdRoll, Tatari, MNTN, Rakuten, Impact, Grin, Klaviyo, and more. Also integrates with Shopify, WooCommerce, BigCommerce, Magento, and custom data warehouses. API available for custom integrations.

Cohort Analysis and LTV Tracking: Track customer lifetime value by cohort (acquisition date, channel, campaign, etc.) to understand long-term payback. See how LTV evolves over time for customers acquired from different channels. This helps you make smarter budget decisions -- e.g. "TikTok has a higher CAC but better LTV, so it's worth the upfront cost."

Data Exports and Looker Studio Integration: Export attribution data to Google Sheets, Looker Studio, or your data warehouse. Build custom reports or combine Northbeam data with other business metrics (inventory, margins, etc.). API access available for enterprise customers.

Who Is It For

Northbeam is built for direct-to-consumer brands and digital agencies managing significant paid media budgets. The sweet spot is brands spending $100k-$5M+ per month on paid ads across multiple channels (Meta, Google, TikTok, etc.). If you're spending less than $50k/month, Northbeam is probably overkill -- platform-native analytics and Google Analytics might be sufficient.

Primary users are performance marketers, growth teams, and media buyers who need granular attribution data to optimize campaigns daily. Typical titles: Director of Growth, Head of Performance Marketing, VP of Marketing, Media Buyer, Growth Manager. Northbeam is also used by CFOs and finance teams who want an independent source of truth for marketing ROI (not just what Meta and Google report).

Industries where Northbeam shines: consumer packaged goods (CPG), beauty and skincare, supplements and wellness, apparel and fashion, home goods, pet products, and subscription boxes. Basically any DTC brand with a multi-channel paid media strategy and a need to understand true incrementality.

Agencies managing 5-20+ client accounts also use Northbeam. The platform supports multi-brand dashboards and client reporting, making it easier to manage attribution across a portfolio.

Who should NOT use Northbeam: early-stage startups spending less than $50k/month on ads (the platform is overkill and expensive), B2B SaaS companies with long sales cycles and complex attribution needs (better served by tools like HockeyStack or Dreamdata), or brands that only run one or two channels (you don't need sophisticated multi-touch attribution if you're only running Meta ads).

Integrations & Ecosystem

Northbeam integrates with 20+ ad platforms including Meta (Facebook/Instagram), Google Ads, TikTok, Snapchat, Pinterest, Amazon Ads, Microsoft Ads, X (Twitter), Yahoo, The Trade Desk, Criteo, AdRoll, MediaMath, MNTN, Tatari, Rakuten, Impact, and Grin. It also connects to email platforms like Klaviyo and e-commerce platforms like Shopify, WooCommerce, BigCommerce, and Magento.

The Northbeam Apex feature sends attribution data back to ad platforms via direct API integrations (deeper than standard CAPI). This closed-loop integration improves ad platform optimization by feeding them better conversion data.

Northbeam offers a REST API for enterprise customers who want to pull attribution data into their own data warehouse or BI tools. There's also a native Looker Studio connector for custom reporting. Data can be exported to Google Sheets or CSV.

No mobile app, but the web dashboard is mobile-responsive. No browser extension.

Pricing & Value

Northbeam pricing is custom and based on monthly ad spend. According to their website, plans start at $400/month for brands spending under $100k/month on ads. For brands spending $500k+/month, pricing moves to an Enterprise tier with custom quotes.

Typical pricing structure (based on third-party reports and user reviews):

• Starter: ~$400-$800/month for brands spending $50k-$150k/month on ads. Includes multi-touch attribution, basic dashboards, and 4x daily data refreshes.
• Professional: ~$1,000-$2,500/month for brands spending $150k-$500k/month. Adds MMM+, Apex integrations, and hourly data refreshes.
• Enterprise: Custom pricing for brands spending $500k+/month. Includes dedicated support, custom integrations, API access, and advanced features.

Annual contracts are standard. No free trial, but Northbeam offers a demo and onboarding process to ensure the platform fits your needs before signing.

How does this compare to competitors? Northbeam is more expensive than basic attribution tools like Triple Whale ($129-$500/month) or Rockerbox (starts ~$1,000/month), but it offers more sophisticated modeling (MMM, incrementality testing, deterministic view-through) and deeper integrations (Apex). It's comparable in price to other enterprise attribution platforms like Measured, Rockerbox Enterprise, or Singular.

Is it good value? For brands spending $200k+/month on ads, Northbeam typically pays for itself quickly. Customers report 6-13% improvements in ROAS and 8% reductions in CAC within the first year -- which translates to hundreds of thousands in saved ad spend or incremental revenue. For smaller brands (<$100k/month spend), the ROI is harder to justify unless attribution is a major pain point.

Strengths & Limitations

Strengths:

• Deterministic view-through attribution is a genuine innovation -- most competitors rely on probabilistic modeling for views, which is less accurate.
• MMM+ runs continuously instead of quarterly, making it actually useful for day-to-day decisions (traditional MMM is too slow).
• Northbeam Apex (sending enriched data back to ad platforms) is a differentiator -- most attribution tools only report data, they don't close the loop to improve platform optimization.
• Infinite lookback windows let you measure long-tail impact of top-of-funnel campaigns, which is critical for brands with 30-90 day consideration cycles.
• Strong integrations with 20+ ad platforms and e-commerce systems -- setup is relatively painless compared to competitors.

Limitations:

• Expensive for smaller brands -- if you're spending less than $100k/month on ads, Northbeam is probably overkill. Triple Whale or Rockerbox might be better fits.
• No free trial -- you have to commit to a demo and contract before testing the platform. Some competitors (like Triple Whale) offer free trials.
• Learning curve -- the platform is powerful but complex. It takes 1-2 weeks to fully understand the dashboards and attribution models. Smaller teams without dedicated analysts might struggle.
• Limited B2B functionality -- Northbeam is built for DTC e-commerce. If you're a B2B SaaS company, tools like HockeyStack or Dreamdata are better suited to multi-touch lead attribution.
• No built-in creative testing tools -- Northbeam shows creative-level attribution but doesn't help you produce or test new creatives. You'll still need tools like Foreplay or Motion for creative workflows.

Bottom Line

Northbeam is the best choice for DTC brands spending $200k+/month on paid media who need sophisticated attribution to justify budget allocation and improve ROAS. The combination of multi-touch attribution, media mix modeling, and incrementality testing in one platform is rare -- most competitors only offer one or two of these capabilities. The Northbeam Apex integration (sending data back to ad platforms) is a genuine differentiator that can improve campaign performance by 8-15%.

If you're a smaller brand (<$100k/month ad spend), start with Triple Whale or Rockerbox -- they're cheaper and easier to use. If you're a B2B company, look at HockeyStack or Dreamdata instead. But if you're a scaling DTC brand with a multi-channel strategy and a need to prove marketing ROI to your CFO, Northbeam is worth the investment.

Best use case in one sentence: DTC brands spending $200k-$5M+/month on paid ads who need to prove which channels drive incremental revenue and optimize toward new customer acquisition.