Northbeam vs Vemetric in 2026: enterprise media mix modeling vs $5/month privacy-first analytics
Northbeam is a sales-led attribution platform for ecommerce brands spending big on paid media. Vemetric is an open-source, cookieless analytics tool combining web and product tracking for $5 a month.
Northbeam
Vemetric- Northbeam has no free tier and requires a sales conversation before pricing is disclosed. Vemetric has a genuine free tier and a $5/month Professional plan with unlimited projects and seats.
- Northbeam runs media mix modeling to estimate the contribution of channels with no user-level tracking, like streaming or podcast ads. Vemetric has no media mix modeling; it is a web and product analytics tool, not a paid-media attribution platform.
- Vemetric is open-source, with its codebase public on GitHub and self-hosting supported for teams needing full data sovereignty. Northbeam is a proprietary, closed platform.
- Vemetric automatically detects and attributes traffic from AI tools like ChatGPT, a feature it calls AI Referral Detection. Northbeam has no equivalent for identifying AI-sourced traffic.
- Vemetric is cookieless and built GDPR-first by design. Northbeam relies on a first-party, server-side pixel rather than a cookieless-by-default privacy architecture.
- Northbeam includes a dedicated budget scenario planner for modeling spend reallocation across paid channels. Vemetric has no scenario planning or paid-media budget tooling at all.
- Vemetric bundles product analytics, including funnels of up to 10 steps and full user journey tracking, into the same platform as its web analytics. Northbeam has no product analytics layer.
Northbeam and Vemetric sit at nearly opposite ends of the Analytics & Reporting category. Northbeam is built for DTC brands spending heavily across Meta, Google, and TikTok, pairing multi-touch attribution with media mix modeling behind a sales-led, no-public-pricing gate. Vemetric is an open-source, GDPR-first tool that combines web analytics and product analytics for a price that starts at zero and tops out at $5 a month for unlimited projects and seats. They rarely compete for the same buyer, but the comparison is useful precisely because it clarifies what each price point actually buys: statistical rigor and dedicated onboarding on one side, or a lightweight, self-hostable, privacy-by-design tool on the other.
The tools at a glance
Northbeam
Multi-touch attribution and media mix modeling platform for DTC and ecommerce brands managing spend across paid social, search, and streaming channels.
Northbeam is built to answer a specific, expensive question: which paid channel actually drove a sale, once you strip out the double-counting that happens when Meta, Google, and TikTok all claim credit for the same conversion. Its media mix modeling extends that answer to channels with no user-level tracking at all, like streaming or podcast spend, refreshed near real-time rather than on the slow cycle typical of legacy MMM providers.
The Northbeam Pixel captures purchase events first-party and server-side, and the platform's budget scenario planner turns the resulting model into an actual recommendation, projecting what happens to revenue if spend shifts between channels. None of this comes cheap or fast: there is no self-serve signup, no published pricing, and onboarding runs two to four weeks with a dedicated Northbeam team.
Northbeam has nothing resembling Vemetric's product analytics or open-source, self-hostable architecture. It is a closed, proprietary platform built to model paid media contribution, not to track how users behave inside a product after they land.
| Feature | Growth Contact sales | Scale Contact sales | Enterprise Contact sales |
|---|---|---|---|
| Multi-touch attribution | Yes | Yes | Yes |
| Media mix modeling | No | Yes | Yes |
| Budget scenario planning | No | Yes | Yes |
| Open-source / self-hostable | No | No | No |
| Product analytics | No | No | No |
Vemetric
Open-source, privacy-first analytics combining web traffic and product analytics in one cookieless platform.
Vemetric covers a completely different job than Northbeam: instead of modeling paid media contribution, it tracks how visitors arrive at a site and then follows those same users through a product to see where they convert or drop off, all cookieless and GDPR-compliant by design. The free tier handles 2,500 events a month with no credit card required, and the Professional plan at $5 a month removes that cap entirely along with unlocking unlimited projects and team seats.
The platform's user journey tracking merges anonymous pre-signup activity with post-signup behavior into one continuous timeline, and its funnel builder supports up to 10 steps for either a linear checkout flow or a more branching product onboarding sequence. AI Referral Detection automatically identifies and attributes traffic from tools like ChatGPT, letting a team see whether AI-sourced visitors convert differently from organic or direct traffic, with no extra configuration required.
Being open-source and self-hostable is a real differentiator for teams that need full data sovereignty; the codebase is public on GitHub with over 353 stars. The trade-off is a smaller integration ecosystem and a still-maturing feature set compared to more established competitors, and there is no attribution modeling of any kind for paid media spend.
| Feature | Free $0/mo | Professional From $5/mo |
|---|---|---|
| Events per month | 2,500 | 10,000+ |
| Projects | 2 | Unlimited |
| Team seats | 2 | Unlimited |
| Funnels | Yes | Yes |
| Open-source | Yes | Yes |
Head-to-head feature comparison
| Feature | Northbeam | Vemetric |
|---|---|---|
| Primary focus | Paid media attribution for ecommerce brands | Combined web and product analytics |
| Media Mix Modeling | Yes, on Scale and Enterprise tiers | No |
| First-party paid-media attribution pixel | Yes, the Northbeam Pixel captures first-party server-side data | No, cookieless script-based tracking rather than a paid-media attribution pixel |
| Cookieless / GDPR-first tracking | No, built around first-party pixel tracking rather than cookieless-by-default privacy positioning | Yes, 100 percent privacy-first and GDPR compliant by design |
| Product analytics (funnels, user journeys) | No | Yes, funnels up to 10 steps plus full user journey tracking |
| AI referral / LLM traffic detection | No | Yes, automatically detects and attributes ChatGPT-sourced traffic |
| Self-serve signup | No, demo required | Yes |
| Free tier | No | Yes, 2,500 events per month with no credit card required |
| Open-source / self-hostable | No, proprietary closed platform | Yes, codebase public on GitHub with 353+ stars |
| API access | Yes | Yes |
| Starting price | Contact sales | $0/month free, from $5/month Professional |
| Data retention | Not publicly specified | 1 month on Free, 5 years on Professional |
| Best-fit team | DTC ecommerce brands spending $50k or more per month across Meta, Google, and TikTok | Early-stage startups and indie developers wanting one tool for site and product analytics at minimal cost |
Considering AI Peekaboo alongside Northbeam and Vemetric?
Vemetric can tell you when ChatGPT sends someone to your site, and Northbeam can tell you how a paid campaign performed once they get there, but neither tracks whether your brand is actually being mentioned or recommended inside those AI conversations before a click ever happens. AI Peekaboo monitors brand visibility across ChatGPT, Claude, Gemini, and Perplexity answers directly, the layer upstream of the referral traffic both these tools measure.
Read the AI Peekaboo review →Which should you choose?
NorthbeamVemetricNorthbeamVemetricVemetricVemetricNorthbeamThere is no real overlap in who each tool is built for. Northbeam is priced and staffed for brands with enough paid media spend that a few points of allocation accuracy justify a sales-led engagement. Vemetric is priced for teams that need combined web and product analytics without a procurement process, and its cookieless, open-source design serves a genuinely different set of priorities than paid-media attribution modeling.
Bottom line
If your budget question is which paid channel drove the sale, and your spend is high enough to make statistical modeling worthwhile, book the Northbeam demo. If your question is how visitors move from your marketing site into your product, and you want that answer without cookies, a consent banner, or a monthly bill above five dollars, start on Vemetric's free tier.
Frequently asked questions
Is Vemetric a real alternative to Northbeam for ecommerce attribution?
No. Vemetric has no media mix modeling and no paid-media attribution pixel; it tracks web traffic and product usage, not which ad channel drove a purchase. A DTC brand needing modeled attribution across Meta, Google, and TikTok spend should look at Northbeam, not Vemetric.
Can Northbeam replace Vemetric for product analytics?
No. Northbeam has no product analytics layer at all; it stops at attribution and revenue modeling for paid media. If you need funnel analysis, user journey tracking, or feature adoption data inside your product, Vemetric or a dedicated product analytics tool is the right choice.
How does Vemetric detect AI-referred traffic and does Northbeam have anything similar?
Vemetric's AI Referral Detection automatically identifies and attributes visits from AI tools like ChatGPT with no extra configuration, letting you compare how those visitors convert against organic or direct traffic. Northbeam has no equivalent feature; its tracking is built around paid social and search attribution, not AI-sourced referral traffic.
Is Vemetric GDPR compliant without a cookie banner?
Yes, Vemetric is designed to be cookieless and avoids collecting personal data, which makes it GDPR compliant by design and removes the need for a consent banner. Northbeam is not marketed around cookieless privacy positioning; it relies on a first-party, server-side pixel to capture conversion events instead.
Why does Northbeam cost so much more than Vemetric?
The two tools are not solving the same problem at different price points, they are solving different problems entirely. Northbeam's price reflects statistical media mix modeling, a dedicated onboarding team, and enterprise support for brands spending tens of thousands of dollars a month on paid media. Vemetric's $5/month plan reflects a lightweight, self-serve web and product analytics tool with no attribution modeling component.
Can a small ecommerce brand use Vemetric instead of Northbeam to save money?
Only if the brand does not yet need paid-media attribution modeling. Vemetric will show how visitors move through the site and product, but it will not tell you which ad channel actually drove a sale the way Northbeam's multi-touch attribution and media mix modeling do. Brands not yet spending enough to justify Northbeam's pricing typically do not need that level of attribution rigor yet either.