Bloom Analytics
Triple Whale
BeProfit
Conversific
RetentionX
OWOX BI
Polar Analytics
Rockerbox
Codecov
CodeClimate
Codacy
Coveralls
SonarQube
ESLint
SensioLabs Insight
Source-Navigator NG
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.
Bloom Analytics CodecovCodecov is recommended for development teams looking to enhance their code testing strategy with detailed coverage insights. It is particularly useful for projects that rely on CI/CD pipelines and value integration with platforms like GitHub, GitLab, or Bitbucket. Teams that employ diverse technology stacks can also benefit given Codecov's broad language support.
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.
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.
Bloom Analytics's answer
-CAPS -Curio Blvd -OMOYE -thecupcakequeens
Bloom Analytics's answer
It is budget friendly, It focuses on Profit calculation and attribution, also helps in customer journey and company performances Profitability.
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.
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.
Based on our record, Codecov seems to be more popular. It has been mentiond 20 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Hi! I made a small tool to open test coverage uploaded to Codecov[1] in a web browser with a few helpful flags: - branch: A target branch - path: The specific file - remote: An upstream Frequent clicks through the same paths and manual changes to the URL was a solid motivation for me. Learning more about Zig was a nice happening too. Not sponsored but that'd be cool ;) [1]: https://about.codecov.io. - Source: Hacker News / over 1 year ago
First of all, we need to have a repository. You can use different services, but I will show you on GitHub. First, you will need to go to the site and register in a way convenient for you. After that, you will see a personal account like this:. - Source: dev.to / over 1 year ago
If you're actively testing your codebase, which I hope you are, consider integrating a code coverage automatic checker such as codecov. This tool can alert if the coverage drops below a threshold. While I've had positive experiences with such tools, it's worth mentioning that the adoption process may pose some challenges. - Source: dev.to / over 2 years ago
The code coverage is printed out in the Coverage Report step but it is useful to track code coverage over time and have a repository badge which shows the current coverage percentage. There are many different code coverage and testing applications but we will use CodeCov. - Source: dev.to / almost 3 years ago
Usually, you can't build a product without using various tools. Some of them can be free, and some of them can be commercial. The great benefit of working on Open Source projects is that a lot of companies with commercial products have special offers for non-commercial development. In the case of the "xq" utility, which is written in Go, I use GoLand IDE by JetBrains. I paid for it for several months but later... - Source: dev.to / about 3 years ago
Triple Whale - Triple Whale helps ecommerce brands make better decisions with better data.
CodeClimate - Code Climate provides automated code review for your apps, letting you fix quality and security issues before they hit production. We check every commit, branch and pull request for changes in quality and potential vulnerabilities.
BeProfit - Track and understand your Shopify data. Optimize profits!
Codacy - Automatically reviews code style, security, duplication, complexity, and coverage on every change while tracking code quality throughout your sprints.
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.
Coveralls - Coveralls is a code coverage history and tracking tool that tests coverage reports and statistics for engineering teams.