mbuzz vs Northbeam: Transparent vs ML Attribution (2026)

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

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.

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:

within_window 90.days do
  within_window 30.days, weight: 0.6 do
    time_decay half_life: 7.days
  end

  within_window 30.days..60.days, weight: 0.4 do
    time_decay half_life: 14.days
  end
end

Price: Dramatically Cheaper

mbuzz Pro ($299/mo, 25M records) costs less than Northbeam's entry tier ($400+/mo). At enterprise scale, the gap widens—Northbeam can reach $2,000-5,000+/mo.

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.

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 $400/mo with no free option. For teams still validating their attribution needs, this removes risk.

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 on Higher Tiers

Northbeam offers media mix modeling on higher tiers—useful for brands with $5M+ annual ad spend who want to model channel-level incrementality. mbuzz doesn't offer MMM (though at SMB-mid-tier spend levels, MMM 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

The cost difference is significant at every tier. The question: does Northbeam's ML and creative analytics justify 4-15x 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 $400-5,000+/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.

Related Comparisons

• Northbeam Alternatives — 7 alternatives compared
• Triple Whale Alternatives — E-commerce attribution
• mbuzz vs Triple Whale — Shopify comparison
• Multi-Touch Attribution Tools Compared — Full market overview

Holly Henderson

Co-Founder, mbuzz

Holly Henderson is Co-Founder of mbuzz. With 10+ years in marketing including roles at Westpac, Avon, and Forebrite, she's obsessed with making measurement actually useful.

Harvard Extension School Forebrite Westpac Avon