Software Alternatives, Accelerators & Startups

mbuzz.co VS Diffly

Compare mbuzz.co VS Diffly and see what are their differences

mbuzz.co logo 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.
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Diffly logo Diffly

Diffly is the leading win-loss analysis solution in Europe that helps B2B companies close more deals. Diffly combines AI technology with services to help you increase win rates, improve Go to market strategy and make decisions based on reliable data.
  • 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

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.

Not present

Make your business truly Customer-centric

Diffly helps you digitize and automate the collection of feedback from your prospects and customers (win/loss analysis, churn analysis).

By connecting your CRM to Diffly, you make sure none of your sales cycles ever ends without collecting feedback. Join the 80% of B2B companies worldwide implementing a consistent win-loss analysis process, and boost your conversion rates by up to +50% (Gartner).

The Diffly Solution

B2B companies often leave money on the table by losing deals they could have won, without knowing why. Our mission is to bring a human touch back into the feedback process. In addition to our CRM-integrated software and structured quantitative surveys, we offer a third-party interview service to collecte feedback from your prospects and customers directly. Diffly combines pragmatism, speed, and plug-and-play efficiency through a unique blend of SaaS and Service:

The Service: 30/45-minute one-on-one interviews with your prospects or clients, revisiting the sales process to gather first-hand insights. As a trusted third party, we gather open and honest conversations.

The Technology: Our platform identifies and automates which deals to target. Then, our AI analyzes conversations, detects key themes, and aggregates insights, helping you make informed, strategic decisions across your sales funnel. Difflyโ€™s high valued added Every sales opportunity becomes a learning opportunity: whether won or lost, Diffly kicks in automatically. Through targeted, structured surveys, we uncover the true decision-making criteria of your buyers, along with rich insights about your market, competitors, and positioning, straight from the field.

Actionable insights, not assumptions: Understand the real reasons behind every win and loss, and act on them. Cross-team alignment: Sales, Marketing, and Product teams access the same insights, ensuring a coherent strategy and data-driven decisions.

mbuzz.co

Website
mbuzz.co
$ Details
freemium
Platforms
Web REST API Ruby Python PHP Node JS Shopify
Release Date
2026 January
Startup details
Country
Australia
State
NSW
City
Sydney
Employees
1 - 9

Diffly

Website
diffly.co
Pricing URL
-
$ Details
-
Platforms
-
Release Date
-
Startup details
Country
France
Founder(s)
Julien Cohen-Roussey, David Guillermain, Anne-Sophie Vasseur-Clement
Employees
20 - 49

mbuzz.co features and specs

  • Multi-model attribution
    8 models side-by-side: first-touch, last-touch, linear, time-decay, position-based, Markov, Shapley, data-driven
  • Attribution DSL
    SQL-like language for editing / writing your own attribution models
  • Lossless tracking
    Server-side capture of 30-40% more touchpoints than client-side trackers lose to ad blockers
  • LTV / CLV mode
    Toggle attribution reports between transaction count and customer lifetime value views
  • Open-source SDKs
    Ruby, Node, Python, PHP, Shopify, server-side GTM

Diffly features and specs

No features have been listed yet.

Analysis of mbuzz.co

Overall verdict

  • 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 this product is good

  • 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

Analysis of Diffly

Overall verdict

  • I don't have verified, up-to-date information about Diffly (diffly.co) to give you a reliable assessment of its quality. I'd recommend checking recent user reviews, the company's website, and independent sources before making a decision.

Why this product is good

  • I don't have specific, verified data on this product/service in my training
  • Details about niche or newer tools may be outdated or unavailable to me
  • Providing an assessment without reliable information could be misleading

Recommended for

  • Anyone considering this tool should check recent reviews on sites like G2, Trustpilot, or Capterra
  • Users should visit the official website to review current features, pricing, and use cases
  • Reaching out to the company directly or trying a free trial (if available) can help verify legitimacy and fit

Category Popularity

0-100% (relative to mbuzz.co and Diffly)
Attribution Tracking
100 100%
0% 0
Marketing Analytics
0 0%
100% 100
Advertising Optimization
100 100%
0% 0
Data Analysis And Visualization

Questions & Answers

As answered by people managing mbuzz.co and Diffly.

What makes your product unique?

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.

Why should a person choose your product over its competitors?

mbuzz.co's answer

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.

How would you describe the primary audience of your product?

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 $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."

What's the story behind your product?

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 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.

Which are the primary technologies used for building your product?

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.

User comments

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What are some alternatives?

When comparing mbuzz.co and Diffly, you can also consider the following products

Google Analytics - Improve your website to increase conversions, improve the user experience, and make more money using Google Analytics. Measure, understand and quantify engagement on your site with customized and in-depth reports.

Klue - Klue is competitive intelligence for enterprise sales. We help sales, and the teams who enable them, leverage CI to win more deals.

Mixpanel - Mixpanel is the most advanced analytics platform in the world for mobile & web.

Dioptra - Dioptra is a data centric platform to automate continuous model improvement.

HockeyStack - Not just another simple analytics tool.

M16 Marketing - Work with M16's ROI driven digital marketing strategists to generate leads, automate engagement and analyze the results of marketing campaigns.