Northbeam vs Plausible Analytics in 2026: Enterprise ad attribution vs lightweight privacy-first web analytics
One models media spend across Meta, Google, and TikTok for brands spending $50k or more a month, sold entirely through sales. The other is a one-page, cookieless Google Analytics replacement from €9 a month.
Northbeam has no public pricing and requires a sales conversation. Plausible publishes its full pricing table starting at €9/month for a single site.
Plausible automatically detects and categorizes referral traffic from ChatGPT, Perplexity, and Claude with zero setup. Northbeam has no equivalent AI-referral traffic detection; its attribution models are built around paid ad channels, not organic AI traffic.
Northbeam combines multi-touch attribution with media mix modeling to measure channel-level ad spend contribution, including upper-funnel channels like streaming and podcasts. Plausible has no ad spend or channel attribution feature of any kind.
Plausible is open-source and self-hostable under AGPL. Northbeam has no self-hosting option and runs entirely on Northbeam-managed infrastructure.
Northbeam includes a dedicated onboarding team and customer success manager on Scale and Enterprise plans. Plausible relies on documentation and standard support, with priority support only on the Enterprise tier.
Plausible's Business plan adds a Stats API and Looker Studio connector at €19/month. Northbeam includes a BI connector that can push attribution data into Power BI, Tableau, or Looker on Scale and Enterprise plans.
Northbeam and Plausible Analytics share a category label and little else. Northbeam is built for performance marketing teams who need to know which ad channel actually produced a sale, combining multi-touch attribution with media mix modeling across Meta, Google, TikTok, and streaming, priced entirely through a sales conversation. Plausible is a lightweight, EU-hosted analytics tool that shows page views, referrers, and conversion goals on a single page, with no cookies and no consent banner, starting at €9 a month. Choosing between them is really a question of scale and intent: are you optimizing a six-figure paid media budget across channels, or do you just need honest, compliant traffic numbers for a website.
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 exists to answer a question platform dashboards answer badly: which channel actually drove this sale. Meta, Google, and TikTok all claim credit for the same conversions, so Northbeam replaces that inflated view with a first-party pixel and server-side tracking, then layers multi-touch attribution and media mix modeling on top for both a granular and a statistical view of channel performance.
Its refresh speed sets it apart from legacy media mix modeling providers, which typically update weekly or monthly. Northbeam refreshes near real-time to daily depending on plan, which keeps the scenario planner and creative-level breakdowns usable for weekly or daily reallocation decisions rather than only quarterly reviews.
That capability is not cheap or fast to access. There is no self-serve signup, no public pricing, and onboarding runs two to four weeks of pixel implementation before usable attribution data appears. Northbeam's own stated cutoff is that brands under roughly $50,000 in monthly ad spend will not generate enough data volume for the models to be statistically reliable.
| Feature | Growth Contact sales | Scale Contact sales | Enterprise Contact sales |
|---|---|---|---|
| Multi-touch attribution | Yes | Yes | Yes |
| Media mix modeling | No | Yes | Yes |
| BI connector (Power BI, Tableau, Looker) | No | Yes | Yes |
| Data refresh cadence | Daily | Near real-time | Near real-time |
| Dedicated CSM | No | Yes | Yes |
Plausible Analytics
Lightweight, EU-hosted, privacy-first analytics that replaces Google Analytics without cookies or consent banners.
Plausible is built around a single idea: most teams look at the same handful of numbers in Google Analytics, so show exactly those numbers on one page with no custom report builder and no SQL. Page views, unique visitors, bounce rate, referrers, and conversion goals load together, and over 19,000 paying customers, including Hugging Face, Basecamp, and Ghost, have switched from GA4.
Because Plausible sets no cookies and collects no personal data, sites can drop their consent banner entirely and still capture visitors who would otherwise reject cookie-based tracking. It also auto-detects referral traffic from ChatGPT, Perplexity, and Claude with zero configuration, and the tracking script is roughly 54 times smaller than GA4's with no measurable Core Web Vitals impact.
What Plausible does not do is anything resembling ad spend attribution. There is no way to connect Meta, Google, or TikTok ad spend to a media mix model, and it has no upper-funnel measurement for channels like streaming or podcasts. It stays a single-purpose web analytics tool, with the Business plan at €19/month adding a Stats API and Looker Studio connector for teams that want to pull the data elsewhere.
| Feature | Starter From €9/mo | Growth From €14/mo | Business From €19/mo | Enterprise Custom |
|---|---|---|---|---|
| Sites included | 1 | 3 | 10 | Custom |
| AI referral traffic detection | Yes | Yes | Yes | Yes |
| Stats API | No | No | Yes | Yes |
| Looker Studio Connector | No | No | Yes | Yes |
Head-to-head feature comparison
| Feature | ||
|---|---|---|
| Starting price | Custom (sales-led) | €9/mo |
| Core measurement type | Multi-touch attribution + media mix modeling | Website traffic and conversion analytics |
| Ad spend / channel attribution | Yes (Meta, Google, TikTok, streaming) | No |
| Media mix modeling (MMM) | Yes | No |
| Cookieless / consent-free tracking | Not applicable (first-party pixel and server-side tracking for attribution) | Yes |
| AI referral traffic detection (ChatGPT, Perplexity, Claude) | No | Yes, auto-detected |
| Self-hosting option | No | Yes (AGPL, open-source) |
| Open source | No | Yes |
| BI tool connector (Power BI, Looker Studio, etc.) | Yes (Power BI, Tableau, Looker, from Scale plan) | Yes (Looker Studio, Business plan) |
| API access | Not documented as a standalone data API | Yes (Stats API, Business plan) |
| Dedicated onboarding / CSM | Yes (from Scale plan) | No (documentation and standard support) |
Neither tool tells you whether AI models actually mention your brand

Plausible automatically flags when a visitor arrived via ChatGPT, Perplexity, or Claude, which is a genuinely useful signal, but it only measures traffic that already clicked through. Northbeam has no equivalent at all since its attribution models are built entirely around paid ad channels like Meta, Google, and TikTok. Neither tool tells you whether your brand gets mentioned or recommended inside an AI-generated answer before that click ever happens. AI Peekaboo tracks brand citations directly across ChatGPT, Claude, Gemini, and Perplexity, which sits one step earlier in the funnel than either referral-traffic detection or paid-channel attribution.
Read the AI Peekaboo review →Which should you choose?
These two rarely compete for the same budget line because they answer different questions. Northbeam answers "which ad dollar produced this sale" and only makes financial sense once monthly ad spend is large enough to feed its attribution models real data. Plausible answers "who visited our site and how" with no learning curve and no consent banner overhead, and it has no concept of paid channel attribution at all. A DTC brand could run both without redundancy: Plausible for compliant site analytics, Northbeam for attributing the ad spend that drives traffic to that site.
Bottom line
Book the Northbeam demo if you are already spending $50,000 or more a month across paid channels and platform-reported ROAS has stopped being trustworthy; anything less and the onboarding cost will not pay for itself. Start Plausible today, on Growth at €14/month if you run more than one site, if your need is compliant, cookieless website traffic and conversion data with no consent banner. Neither tool substitutes for the other, since one measures paid ad attribution and the other measures site visitor behavior.
Frequently asked questions
Can Plausible Analytics replace Northbeam for ad attribution?
No. Plausible has no ad spend or channel attribution feature; it is a single-purpose web analytics tool that shows page views, referrers, and conversion goals on one page. Northbeam exists specifically to measure which ad channels and creative are producing revenue across Meta, Google, and TikTok, which is entirely outside what Plausible is built to do.
Is Northbeam overkill for a small site already using Plausible?
Usually yes. Northbeam's own guidance is that brands under roughly $50,000 in monthly ad spend will not generate enough data volume for its attribution models to be statistically reliable, and there is no self-serve tier to test that at smaller scale. Plausible remains the right tool for compliant site-level traffic data regardless of ad spend.
Does Plausible track AI referral traffic the way some tools claim Northbeam might?
Plausible does, Northbeam does not. Plausible automatically reads the referrer header from AI tools and categorizes visits from ChatGPT, Perplexity, and Claude with zero setup. Northbeam has no equivalent feature since its attribution models are focused entirely on paid ad channels rather than organic AI referral traffic.
Can I self-host Plausible the way I can audit an open-source tool, unlike Northbeam?
Yes. Plausible's full codebase is available under the AGPL license and can be self-hosted with community-maintained documentation. Northbeam has no self-hosting option at any tier; it runs entirely on Northbeam-managed infrastructure with data connected through its pixel and platform integrations.
Which tool is cheaper, Northbeam or Plausible?
Plausible is dramatically cheaper and fully self-serve, starting at €9 a month with published pricing. Northbeam discloses no public pricing at all and requires a sales conversation, reflecting that it is a high-touch attribution service with dedicated onboarding rather than a self-serve analytics tool.

