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Bloom Analytics VS Visual Diffs

Compare Bloom Analytics VS Visual Diffs and see what are their differences

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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

Visual Diffs logo Visual Diffs

Track UX changes with visual diffs on every deploy.
  • 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.

  • Visual Diffs Landing page
    Landing page //
    2023-07-08

Bloom Analytics

$ Details
paid Free Trial $20 / 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

Visual Diffs

Pricing URL
-
$ Details
-
Platforms
-
Release Date
-

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

Visual Diffs features and specs

  • Improved Visual Regression Testing
    Visual Diffs help in identifying UI changes or visual bugs that could go unnoticed with traditional testing methods. It automatically highlights differences, making it easier to catch unexpected changes.
  • Faster Feedback Loop
    These tools provide immediate feedback on visual changes after each deployment, enabling quicker detection and resolution of issues, which accelerates the development process.
  • Enhanced Collaboration
    Visual Diffs make it easier for developers, designers, and QA teams to discuss changes and issues since the visual representation is clearer than just text-based descriptions.
  • Reduced Manual Testing Effort
    By automating the process of identifying visual changes, these tools reduce the need for manual visual checks, freeing up time for team members to focus on more complex tasks.

Possible disadvantages of Visual Diffs

  • Initial Setup Complexity
    Setting up visual diff testing tools can require a significant investment of time to integrate into existing workflows and requires the team to understand and manage new tools.
  • False Positives/Negatives
    Visual diff tools can sometimes lead to false positives, where innocuous or intended changes are flagged as issues, or false negatives, where legitimate changes are missed.
  • Resource Intensive
    Running visual diffs can be resource-intensive, potentially requiring significant processing power and storage, especially for larger applications with many UI elements.
  • Maintenance Overhead
    These tools often require ongoing maintenance to ensure they remain efficient and accurate, including updating baseline images and managing configuration changes.

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

Analysis of Visual Diffs

Overall verdict

  • SpeedCurve's Visual Diffs is a strong, purpose-built tool for catching visual regressions and understanding how site changes affect the user-perceived loading experience over time.

Why this product is good

  • Automatically captures and compares filmstrip screenshots across test runs so you can visually spot layout or rendering changes
  • Ties visual changes to performance metrics, helping teams understand not just that something changed but how it impacts perceived speed
  • Integrates into SpeedCurve's broader synthetic and real-user monitoring platform for continuous tracking
  • Makes it easy to communicate visual and performance regressions to non-technical stakeholders through clear before/after comparisons
  • Helps detect unintended side effects of deployments, third-party scripts, or A/B tests

Recommended for

  • Front-end and performance engineering teams monitoring web page rendering over time
  • Organizations running continuous deployment that need to catch visual regressions early
  • Teams already using or considering SpeedCurve for performance monitoring
  • Businesses focused on user-perceived load speed and above-the-fold experience
  • Agencies and QA teams that need clear visual evidence of site changes for clients or stakeholders

Bloom Analytics videos

Bloom - Profit Tracking App for Shopify Businesses

Visual Diffs videos

Wikimania 2017 - Unifying the Editing Experience, Visual Diffs

Category Popularity

0-100% (relative to Bloom Analytics and Visual Diffs)
Analytics Dashboard
100 100%
0% 0
Web App
0 0%
100% 100
Marketing Attribution
100 100%
0% 0
Developer Tools
0 0%
100% 100

Questions & Answers

As answered by people managing Bloom Analytics and Visual Diffs.

How would you describe the primary audience of your product?

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.

Which are the primary technologies used for building your product?

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.

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?

Bloom Analytics's answer

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

What makes your product unique?

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 — all from one simple dashboard.

What's the story behind your product?

Bloom Analytics's answer

While working with Shopify brands, we kept hearing the same feedback that we’re making sales, but we still don’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 what’s working. So, we built Bloom Analytics. It’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.

User comments

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What are some alternatives?

When comparing Bloom Analytics and Visual Diffs, you can also consider the following products

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

Render UIKit - React-inspired Swift library for writing UIKit UIs

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

Diffee - Instant visual diffing between websites

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.

replit - Code, create, andlearn together. Use our free, collaborative, in-browser IDE to code in 50+ languages — without spending a second on setup.