Software Alternatives, Accelerators & Startups

Diggernaut VS Bloom Analytics

Compare Diggernaut VS Bloom Analytics and see what are their differences

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Diggernaut logo Diggernaut

Web scraping is just became easy. Extract any website content and turn it into datasets. No programming skills required.

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
  • Diggernaut Landing page
    Landing page //
    2023-02-17

Company offering cloud based web scraping and data extraction platform that works not only with HTML pages as data source but also with JS, JSON, XML, documents like iCal, XSLX, XLS, CSV and images. Extracted data kept in the database as dataset which can be downloaded in various formats, retrieved via API or pushed to any other destination upon completion. Integrated with such services like Zapier, Tableau, OSM, Luminati, DeathByCaptcha.

  • 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.

Diggernaut

$ Details
freemium $9.99 / Monthly (50000 page requests)
Platforms
-
Release Date
-

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

Diggernaut features and specs

  • User-Friendly Interface
    Diggernaut offers an intuitive and easy-to-navigate interface, making it accessible for users without extensive technical knowledge.
  • Customizable Data Extraction
    Users can tailor data extraction processes using customizable rules and scripts, providing flexibility for different needs.
  • Cloud-Based Solution
    Being a cloud-based platform, Diggernaut eliminates the need for local installations and provides access from anywhere.
  • Scalability
    Diggernaut can scale with your needs, whether you require small scale or enterprise-level data extractions.
  • Automated Processes
    The platform supports automated data scraping processes, reducing the need for manual intervention and saving time.

Possible disadvantages of Diggernaut

  • Cost
    While offering a robust set of features, Diggernaut can be relatively expensive, especially for small businesses or individual users.
  • Learning Curve
    Despite its user-friendly interface, users may still require some time to fully understand and utilize the platform's advanced features.
  • Dependency on Internet
    As a cloud-based solution, reliable internet access is necessary, which might be a limitation in regions with poor connectivity.
  • API Limitations
    Some advanced users might find the API offerings limited compared to other, more technical platforms.
  • Support Response Time
    Users have occasionally reported slower response times from customer support, which can be problematic for urgent issues.

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 Diggernaut

Overall verdict

  • Diggernaut is considered a good tool for individuals and businesses looking to simplify the process of web data extraction. Its ease of use, combined with powerful functionality, makes it a suitable choice for both beginners and experienced data professionals. However, like any service, its effectiveness will depend on the specific requirements and complexities of the user's projects.

Why this product is good

  • Diggernaut is a web scraping service that allows users to extract data from websites. It provides a user-friendly interface and various features that enable users to automate web data extraction without needing extensive programming knowledge. Users can build their own scrapers, or use pre-built templates to quickly gather data. Diggernaut is cloud-based, ensuring that scraping tasks can run continuously and data can be accessed from anywhere.

Recommended for

  • Data analysts
  • Market researchers
  • Business intelligence professionals
  • Developers looking to integrate web scraping into applications
  • Non-technical users needing drag-and-drop capabilities

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

Diggernaut videos

Metroid Samus Returns : Diggernaut Boss Fight

More videos:

  • Tutorial - How to beat Diggernaut | Metroid Samus Returns
  • Review - Metroid: Samus Returns - Diggernaut Escape

Bloom Analytics videos

Bloom - Profit Tracking App for Shopify Businesses

Category Popularity

0-100% (relative to Diggernaut and Bloom Analytics)
Web Scraping
100 100%
0% 0
Analytics Dashboard
0 0%
100% 100
Data Extraction
100 100%
0% 0
Marketing Attribution
0 0%
100% 100

Questions & Answers

As answered by people managing Diggernaut and Bloom Analytics.

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 โ€” 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 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.

User comments

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What are some alternatives?

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

import.io - Import. io helps its users find the internet data they need, organize and store it, and transform it into a format that provides them with the context they need.

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

Octoparse - Octoparse provides easy web scraping for anyone. Our advanced web crawler, allows users to turn web pages into structured spreadsheets within clicks.

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

artoo.js - Artoo.js provides script that can be run from your browserโ€™s bookmark bar to scrape a website and return the data in JSON format.

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.