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mbuzz.co

Multi-touch attribution that shows the model behind the number. 8 models compared side-by-side, a SQL-like DSL to write your own, and open-source SDKs for Ruby, Node, Python, and PHP. Runs server-side. Your data, not theirs.

mbuzz is multi-touch attribution for technical marketers who've stopped trusting their dashboard. Here's the thing nobody selling you attribution wants to say out loud: every tool runs a model under the hood, and the number it reports isn't "the data." It's that model's opinion of the data. Same touchpoints, different model, completely different "best channel."

mbuzz runs eight of them at once. First-touch, last-touch, linear, time-decay, position-based, Markov, Shapley, data-driven. You can compare them, argue with them, and write your own in a SQL-like DSL if none of the stock eight fit how your business actually works.

A startup from Sydney, Australia.

(0 reviews)
Pricing:
Platforms:
  • Web
  • REST API
  • Ruby
  • Python
  • PHP
  • Node JS
  • Shopify
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mbuzz.co

mbuzz.co Reviews and Details

This page is designed to help you find out whether mbuzz.co is good and if it is the right choice for you.

#Marketing Analytics #Ad Analytics #Advertising Optimization #Attribution Tracking #Marketing Attribution

Screenshots and images

  • mbuzz.co Dashboard: this week's budget moves
    Dashboard: this week's budget moves //
    2026-07-16
  • mbuzz.co Attribution dashboard
    Attribution dashboard //
    2026-04-14
  • mbuzz.co Conversions by channel
    Conversions by channel //
    2026-04-14
  • mbuzz.co Custom model in the DSL editor
    Custom model in the DSL editor //
    2026-04-14
  • mbuzz.co Blended ROAS vs platform
    Blended ROAS vs platform //
    2026-04-14
  • mbuzz.co Channel performance detail
    Channel performance detail //
    2026-04-14

Features & Specs

  1. Multi-model attribution

    8 models side-by-side: first-touch, last-touch, linear, time-decay, position-based, Markov, Shapley, data-driven

  2. Attribution DSL

    SQL-like language for editing / writing your own attribution models

  3. Lossless tracking

    Server-side capture of 30-40% more touchpoints than client-side trackers lose to ad blockers

  4. LTV / CLV mode

    Toggle attribution reports between transaction count and customer lifetime value views

  5. Open-source SDKs

    Ruby, Node, Python, PHP, Shopify, server-side GTM

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Questions & Answers

As answered by people managing mbuzz.co.

  1. What makes mbuzz.co unique?

    Every attribution tool runs a model under the hood and reports its number like it came from physics. mbuzz is the only one that shows the model. Eight of them side by side, plus a SQL-like DSL to edit or write your own. You stop arguing about which channel works and start arguing about which model you should trust.

  2. Why should a person choose mbuzz.co over its competitors?

    Dreamdata, HockeyStack, and Northbeam all ship with a proprietary "data-driven" model you can't see inside. You pay $1,400โ€“$5,000 a month to trust their math. mbuzz runs eight models you can inspect, lets you edit the logic in a SQL-like DSL, keeps your data exportable on every plan, and starts at $0. For a $1โ€“100M company spending $20Kโ€“$1M a month on ads, that's the difference between renting an attribution tool and owning an attribution stack.

  3. How would you describe the primary audience of mbuzz.co?

    Technical marketers, marketing ops, growth engineers, and data-savvy CMOs at startups and mid-market SaaS, DTC, fintech, and healthtech companies spending $20Kโ€“$1M a month on paid media. Specifically the ones who've stopped trusting their dashboard โ€” who want to audit the math themselves, not hear "trust our algorithm."

  4. What's the story behind mbuzz.co?

    Years of wrestling with the limitations of various existing solutions, platform-inflated ROAS, and enterprise attribution tools that cost more than the budgets they were measuring. Every tool I tried picked one model and hid the math. I wanted to compare models, argue with them, and write my own rules โ€” so I built one. mbuzz is the attribution platform I wished existed when I was trying to explain channel performance to a CFO who didn't believe the Meta pixel.

  5. Which are the primary technologies used for building mbuzz.co?

    Ruby on Rails (backend + dashboard), PostgreSQL, Sidekiq for background jobs, Stimulus/Turbo for the frontend. Open-source SDKs in Ruby, Node, Python, and PHP. Deployed via Kamal on DigitalOcean.

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Is mbuzz.co good?

I don't have verified, up-to-date information about mbuzz.co specifically, so I can't confirm its quality, legitimacy, or reputation. Before using it, I'd recommend checking independent reviews, verifying business registration details, looking for user testimonials on third-party sites, and checking domain age and trust signals via tools like WHOIS or Trustpilot.

Why choose mbuzz.co?

  • No verified data available on this specific domain's services, pricing, or customer satisfaction
  • Unable to confirm business legitimacy, ownership, or operational history
  • Cannot assess user reviews, complaint patterns, or refund/support track record without current data
  • Website content and offerings may have changed since any prior indexing, making assessment unreliable

Recommended for

  • Users willing to do independent due diligence such as checking Trustpilot, Reddit, or BBB reviews
  • Those comfortable verifying site security (HTTPS, privacy policy, contact information) before engaging
  • Anyone considering a purchase or signup who should start with small transactions to test reliability
  • Users who can cross-check company registration and reviews through third-party verification tools

External links

We have collected here some useful links to help you find out if mbuzz.co is good.

  • Public traffic stats of mbuzz.co

    Check the traffic stats of mbuzz.co on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.

  • Domain Rating (DR)

    Check the "Domain Rating" of mbuzz.co on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of mbuzz.co's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.

  • Domain Authority (DA)

    Check the "Domain Authority" of mbuzz.co on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.

  • Public opinion on Reddit

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mbuzz.co

Is mbuzz.co good? This is an informative page that will help you find out. Moreover, you can review and discuss mbuzz.co here. The primary details have been verified within the last quarter. So they could be considered up to date. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.

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