# mbuzz vs Northbeam: Transparent vs ML Attribution (2026)

mbuzz vs Northbeam head-to-head. 8 transparent models + custom rules vs ML black-box attribution. $29-299/mo vs $1,500-2,500+/mo.

- Canonical: https://mbuzz.co/articles/mbuzz-vs-northbeam
- Published: 2026-02-23
- Last updated: 2026-07-08
- Author: Holly Mehakovic, mbuzz (https://mbuzz.co)

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> **TL;DR:** mbuzz ($29-299/mo) offers 8 transparent attribution models you can inspect + custom rules. <strong>Northbeam</strong> ($1,500-2,500+/mo, no free tier) uses ML fractional attribution that prevents overcounting but is a black box, and as of April 2026 bundles MTA + MMM + Incrementality into every plan. mbuzz is for teams who want to see and understand the math. Northbeam is for enterprise DTC brands ($40M+) who want sophisticated ML, creative analytics, and a single bundled measurement stack.


## The Short Version

This is a philosophical choice as much as a product one. Northbeam says "trust our ML—it prevents overcounting and gives you one accurate number." mbuzz says "here are 8 models—compare them and decide what to trust." Neither is wrong. Northbeam suits enterprise DTC brands who want sophisticated automation. mbuzz suits teams who want to see the math and build their own logic.

## At a Glance

| Factor | mbuzz | Northbeam |
|--------|-------|-----------|
| Starting price | Free / $29-299/mo | $1,500+/mo (scales with media spend to $2,500+) |
| Attribution approach | 8 deterministic models + custom rules | ML fractional (black box) |
| Tracking method | Server-side (SDKs) | First-party pixels |
| Custom models | Yes (rule editor) | No |
| Creative analytics | No | Yes |
| Ad platform partnerships | No | Meta, TikTok, Snap, Pinterest |
| Model transparency | Full inspection | Black box ML |
| Measurement scope | MTA specialist; pairs with any MMM/lift tool | MTA + MMM + Incrementality bundled (Apr 2026) |
| Platform independence | No platform financial relationships | Meta-sanctioned Apex partner |
| Best for | B2B + e-commerce, model transparency | Enterprise DTC ($40M+) |

## Where mbuzz Wins

### Model Transparency

Northbeam's ML is a black box. It assigns fractional credit, and you trust it—or you don't. mbuzz shows you 8 different models side-by-side. When first-touch says "organic search initiated 45% of conversions" and last-touch says "paid search closed 60%," you understand the full story, not just the ML's summary.

*[Chart omitted from the text version: Embeddable model comparison for articles]*


This isn't theoretical. When your CMO asks "why did we cut the podcast budget?" you need to explain the attribution logic. "The ML model said so" is a weaker answer than "we compared 4 models and all of them showed declining marginal returns."

### Custom Attribution Rules

Northbeam offers no custom logic. mbuzz lets you define rules that match your specific business—weight by channel, funnel stage, recency, or any combination:

*[Chart omitted from the text version: Embeddable rule editor for articles]*


### Price: Dramatically Cheaper

mbuzz Pro ($299/mo, 25M records) costs a fraction of Northbeam's entry tier ($1,500/mo). At enterprise scale the gap widens; Northbeam reaches roughly $2,500/mo at Professional and custom pricing above that.

| Scenario | mbuzz | Northbeam |
|----------|-------|-----------|
| Getting started | Free | $1,500/mo |
| Growing brand | $99/mo | $1,500/mo |
| Scaling brand | $299/mo | ~$2,500/mo |
| Enterprise | $299/mo | Custom |

### B2B + E-commerce (Not Just DTC)

Northbeam is built for DTC e-commerce. mbuzz handles B2B SaaS, e-commerce, lead gen, and multi-platform businesses. If you're not a pure-play DTC brand, Northbeam isn't designed for you.

*[Chart omitted from the text version: mbuzz product showcase — renders the canonical product mock (embed variant).
    See marketing_site_review_spec.md P0-1; one partial, every surface.]*


### Server-Side Tracking

mbuzz tracks events on your server via SDKs—95%+ event capture regardless of browser settings. Northbeam uses first-party pixels (better than third-party, but still client-side). Server-side is the more complete data foundation.

### Free Tier

mbuzz has a free tier to evaluate all 8 models before committing. Northbeam starts at $1,500/mo with no free option. For teams still validating their attribution needs, this removes risk.

### Independence From the Platforms You Measure

Northbeam is a Meta-sanctioned measurement partner through its Apex integration, which powers its clicks-plus-views methodology. That partnership buys real data access. It also means the tool measuring your Meta spend has a financial relationship with Meta. mbuzz has no financial relationship with any ad platform it measures. If independence from the platforms you're grading matters, that gap is worth weighing.

## Where Northbeam Wins

### ML Prevents Overcounting

Northbeam's core value proposition: ML assigns fractional credit that sums to exactly 100% of actual conversions. When your ad platforms claim 190 conversions for 100 actual sales, Northbeam reconciles to reality. mbuzz's models can show different totals depending on the model—you triangulate rather than getting one reconciled number.

### Creative Analytics

Northbeam shows which specific ad creatives drive revenue—not just campaigns. Which headline performs? Which image converts? For media buying teams optimizing creatives daily, this is a genuine differentiator that mbuzz doesn't offer.

### Deep Ad Platform Partnerships

Northbeam has partnerships with Meta, TikTok, Snap, and Pinterest for deeper data access. These partnerships improve ML model accuracy for ad-heavy DTC brands in ways that SDK-based tracking can't replicate.

### MMM and Incrementality, Now Bundled

As of April 2026 Northbeam bundles MTA, MMM, and incrementality into one product across all tiers. For a brand that wants all three from a single vendor, that consolidation is real (its incrementality launched Meta-only and US-only). mbuzz is a specialist attribution layer. It doesn't include MMM or lift testing, and instead pairs with whatever MMM or incrementality tool you choose. At SMB and mid-tier spend, MMM often isn't statistically reliable anyway.

### Purpose-Built for Enterprise DTC

Northbeam's entire product is designed for DTC brands at $40M+ revenue with dedicated media buying teams. The interface, the models, the integrations—all optimized for this use case. mbuzz is more general-purpose.

## The Pricing Reality

| Annual Cost | mbuzz | Northbeam |
|-------------|-------|-----------|
| Entry | Free-$348/yr | $18,000/yr |
| Growth | $1,188/yr | $18,000-30,000/yr |
| Enterprise | $3,588/yr | $30,000+/yr (custom) |

The cost difference is significant at every tier. The question: does Northbeam's ML, creative analytics, and bundled measurement stack justify the price for your specific situation?

## Choose Northbeam If...

- You're an enterprise DTC brand ($40M+ revenue)
- You have dedicated media buyers who need creative analytics
- You want ML to automatically prevent overcounting
- Deep ad platform partnerships matter (Meta, TikTok, Snap)
- You need MMM and have $5M+ annual ad spend
- You trust algorithms over inspectable models

## Choose mbuzz If...

- You want to see and understand your attribution models
- Budget matters ($29-299/mo vs $1,500-2,500+/mo)
- You do B2B, SaaS, or anything beyond pure DTC
- Custom attribution rules are important
- Server-side tracking accuracy matters
- You want a free tier to start without risk
- "Show me the math" matters more than "trust the algorithm"

## The Verdict

**Northbeam** is built for enterprise DTC brands ($40M+) with dedicated media buyers who want ML-powered attribution and creative analytics. The black box delivers one reconciled answer—efficient for daily optimization decisions at scale.

**mbuzz** is for teams who want to see and understand their attribution—8 transparent models you can inspect, custom rules you can build, at a fraction of the cost. It works for B2B, e-commerce, lead gen, and any business type. The tradeoff: you interpret multiple models rather than trusting one ML output.

If you believe "show me the math" matters more than "trust the algorithm," mbuzz is the transparent choice. If you want sophisticated ML and don't mind the black box, Northbeam delivers that for enterprise DTC.

> **Attribution you can actually inspect.** 8 transparent models. Custom rules. Server-side tracking. See the math, don't trust a black box. Start free. [Try mbuzz Free](https://mbuzz.co/signup)


## Related Comparisons

- [Northbeam Alternatives](/articles/northbeam-alternatives) — 7 alternatives compared
- [Triple Whale Alternatives](/articles/triple-whale-alternatives) — E-commerce attribution
- [mbuzz vs Triple Whale](/articles/mbuzz-vs-triple-whale) — Shopify comparison
- [Multi-Touch Attribution Tools Compared](/articles/multi-touch-attribution-tools-compared) — Full market overview

## Key takeaways

- mbuzz offers 8 inspectable models; Northbeam offers 1 ML model you can't inspect
- mbuzz costs $29-299/mo; Northbeam starts at $1,500/mo and scales with media spend
- Northbeam prevents overcounting (sums to 100%); mbuzz shows multiple perspectives
- As of April 2026 Northbeam bundles MTA + MMM + Incrementality; mbuzz is a specialist MTA layer that pairs with any MMM or lift tool
- mbuzz works for B2B + e-commerce; Northbeam is DTC-focused


## FAQ

**Is mbuzz or Northbeam more accurate?**

Different approaches to accuracy. Northbeam uses ML to prevent overcounting—conversions sum to 100%. mbuzz shows 8 different models so you can see how credit shifts. Northbeam gives you one 'correct' answer; mbuzz lets you triangulate across models. Neither approach is inherently more accurate.

**Why is Northbeam so expensive?**

Northbeam starts at $1,500/mo, scales with media spend, and is designed for enterprise DTC brands ($40M+ revenue) with dedicated media buying teams. Their ML models, creative analytics, ad platform partnerships, and the bundled MMM plus incrementality justify enterprise pricing for large brands.

**Does mbuzz prevent overcounting like Northbeam?**

mbuzz's models like Shapley Value distribute credit fairly without double-counting. The difference: Northbeam uses ML to do this automatically; mbuzz lets you choose which model's distribution you trust.

**Which is better for B2B?**

mbuzz. Northbeam is built for DTC e-commerce. mbuzz handles B2B long sales cycles, SaaS recurring revenue, and account-based attribution that Northbeam isn't designed for.


