
Wistia
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YouTube
Virool
Vidyard is a video marketing platform enabling customers to derive information on viewer-behavior for marketing automation systems and CRM.

HockeyStack
AttributeIQ
Google Analytics
Content Analytics by Dreamdata
Attributer
Mixpanel
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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.

Which is more popular?
Website, pricing, platforms and company facts side by side.
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| Website | vidyard.com | mbuzz.co |
| Pricing | ||
| Platforms | — | |
| Company | Startup from Canada · 100 - 249 employees · 2011 | Startup from Australia · 1 - 9 employees · 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of Vidyard yet.
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...
What each product offers, as listed by its team.


Possible disadvantages
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
Overall verdict
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How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Vidyard and mbuzz.co.
mbuzz.co's answer:
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.
mbuzz.co's answer:
Dreamdata, HockeyStack, and Northbeam all ship with a proprietary "data-driven" model you can't see inside. You pay $1,400–$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 $1–100M company spending $20K–$1M a month on ads, that's the difference between renting an attribution tool and owning an attribution stack.
mbuzz.co's answer:
Technical marketers, marketing ops, growth engineers, and data-savvy CMOs at startups and mid-market SaaS, DTC, fintech, and healthtech companies spending $20K–$1M a month on paid media. Specifically the ones who've stopped trusting their dashboard — who want to audit the math themselves, not hear "trust our algorithm."
mbuzz.co's answer:
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 — 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.
mbuzz.co's answer:
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.
Share your experience with using Vidyard and mbuzz.co. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


Vidyard is built for sales teams and priced for them. Skreno is built for recordings someone has to act on. Here is where each one earns its price.
Main target groups: Sales and marketing teams in companies. Vidyard specializes in video communication in sales (e.g. personalized video messages via email) and marketing videos for lead generation. Its target...
Vidyard is another great Vimeo alternative that offers several comparable streaming packages. Designed with e-commerce, Vidyard is an excellent resource for small to mid-sized online retailers. This white-label video...
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