Software Alternatives, Accelerators & Startups

mbuzz.co VS Bloom Analytics

Compare mbuzz.co VS Bloom Analytics 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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Bloom Analytics logo Bloom Analytics

Bloom is a Native Shopify Analytics and Attribution app. See which products, countries, and campaigns are profitable, and which ad platforms truly generate profit via multi-touch attribution. Create custom dashboards, get insights. Connect with MCP
  • 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.

  • Bloom Analytics Driving Sales and Profit
    Driving Sales and Profit //
    2026-05-13
  • Bloom Analytics Profit or Revenue
    Profit or Revenue //
    2026-05-13
  • Bloom Analytics Ads making money
    Ads making money //
    2026-05-13
  • Bloom Analytics Country Costing more than you earn
    Country Costing more than you earn //
    2026-05-13
  • Bloom Analytics Profit and Loss and KPI's
    Profit and Loss and KPI's //
    2026-05-13
  • Bloom Analytics Miscalculate Profit Because of complex cost
    Miscalculate Profit Because of complex cost //
    2026-05-13
  • Bloom Analytics store actually keeps as profit
    store actually keeps as profit //
    2026-05-13
  • Bloom Analytics stop guessing which product makes money
    stop guessing which product makes money //
    2026-05-13

Bloom tracks your true ecommerce profit after ads, shipping, COGS, transaction fees, refunds, and operating expenses, so you stop relying on vanity metrics and see which products, campaigns, and channels actually drive profit. Track financial performance across products, orders, countries, ad campaigns, and email campaigns, drilling into Product Intelligence, Country Profits, and Email Profits to understand exactly where profit comes from and where it leaks. Build custom dashboards tailored to your business to surface the metrics that matter most, all in one clean view. View a detailed Profit & Loss table with a toggle to switch between Shopify and Amazon revenue, or see them separately, and measure ROAS, POAS, Contribution Margin, and Net Profit from a single dashboard. Connect Google Ads, Meta Ads, TikTok, Pinterest, and Snapchat to see which channels bring profitable customers, not just clicks, and connect Klaviyo, Mailchimp, and Omnisend to see email profits per campaign. Use multi-touch attribution to understand the complete customer journey and accurately track campaign performance across channels, then apply custom cost rules based on product, quantity, country, shipping zone, and operational expenses to calculate true profit with precision. Get profit insights in Email and Slack, including scheduled Slack summaries, to quickly spot wasted ad spend, declining margins, underperforming products, scaling opportunities, and hidden profit leaks. Connect Bloom to Claude or ChatGPT via MCP to query your profit data in natural language. Whether you run one Shopify store or many, stop guessing and start scaling what actually makes money.

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

Bloom Analytics

$ Details
paid Free Trial $20.0 / Monthly (Unlimited Orders)
Platforms
Amazon Shopify
Release Date
2024 October
Startup details
Country
India
State
Karnataka
City
Bangalore
Founder(s)
Ulrich John
Employees
50 - 99

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

Bloom Analytics features and specs

  • Dashboard
    Track profit performance across products, countries, ad, and email campaigns
  • Profit Analytics
    Find and fix profit leaks with Contribution Margin, Net Profit and P&L breakdown
  • Attribution
    See which ad channels drive real orders, ROAS, POAS with multi-touch attribution
  • Cost Tracking
    Apply custom cost rules for COGS, shipping, by product, country or quantity
  • Insights
    Profit Insights that tell you what happened, why, and what to do about it

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 Bloom Analytics

Overall verdict

  • Bloom Analytics is not a widely recognized or verifiable analytics platform based on available information, so its quality cannot be reliably confirmed. Prospective users should conduct due diligence, checking for verified reviews, security compliance, and transparent pricing before committing.

Why this product is good

  • Limited independent reviews or third-party verification available to confirm platform reliability and performance
  • Unclear track record compared to established analytics providers like Google Analytics, Mixpanel, or Amplitude
  • Website claims should be verified through trials, demos, or direct vendor communication
  • Data security and compliance certifications (SOC2, GDPR, etc.) should be confirmed directly with the vendor

Recommended for

  • Businesses willing to conduct thorough vendor evaluation before adoption
  • Users seeking niche or specialized analytics features not covered by mainstream tools
  • Companies that can request a trial period to test functionality firsthand
  • Organizations comfortable working with newer or less-established SaaS vendors

mbuzz.co videos

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Add video

Bloom Analytics videos

Bloom - Profit Tracking App for Shopify Businesses

Category Popularity

0-100% (relative to mbuzz.co and Bloom Analytics)
Marketing Attribution
56 56%
44% 44
Attribution Tracking
100 100%
0% 0
Profit Calculator
0 0%
100% 100
Marketing Analytics
100 100%
0% 0

Questions & Answers

As answered by people managing mbuzz.co and Bloom Analytics.

Who are some of the biggest customers of your product?

Bloom Analytics's answer:

-CAPS -Curio Blvd -OMOYE -thecupcakequeens

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.

Bloom Analytics's answer:

It is budget friendly, It focuses on Profit calculation and attribution, also helps in customer journey and company performances Profitability.

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."

Bloom Analytics's answer:

The primary audience includes Shopify e-commerce businesses focused on improving profitability, tracking marketing performance, and making data-driven growth decisions.

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.

Bloom Analytics's answer:

While working with Shopify brands, we kept hearing the same feedback that weโ€™re making sales, but we still donโ€™t know our actual profit. It made sense. With ad spending, shipping costs, product costs, discounts, and fees, tracking real profit can get messy quickly. Most store owners find themselves hopping between different dashboards just to understand whatโ€™s working. So, we built Bloom Analytics. Itโ€™s a simple profit analytics platform that helps Shopify businesses understand- What products are profitable, which countries and campaigns provide the best returns, which ad platforms truly generate profit through multi-touch attribution, and all from one clear dashboard. No confusing spreadsheets. No endless tabs. Just clear profit insights that help brands make better decisions.

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.

Bloom Analytics's answer:

Bloom Analytics is primarily built using Ruby on Rails to create a fast, reliable, and scalable analytics platform for Shopify businesses.

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.

Bloom Analytics's answer:

Bloom Analytics helps you clearly understand your business profit across products, marketing channels, countries, and order fulfillment. It shows how each part of your store contributes to profit โ€” all from one simple dashboard.

User comments

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What are some alternatives?

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

HockeyStack - Not just another simple analytics tool.

Triple Whale - Triple Whale helps ecommerce brands make better decisions with better data.

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.

BeProfit - Track and understand your Shopify data. Optimize profits!

Content Analytics by Dreamdata - โ€œDoes my content influence revenue?โ€ ๐Ÿคท Content Analytics stops the guesswork to show you whether your content is turning views into dollars ๐Ÿ’ฐand deals ๐ŸคDreamdata tracks the multi-user, multi-session B2B buyer journey to tie content to pipeline & revโ€ฆ

Conversific - Conversific is a Business Intelligence platform designed to capture and analyze the data from your Shopify store. It includes built-in tips from ecommerce gurus and provides instant guidance.