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What is Bloom Analytics?

Bloom is a native Shopify profit analytics and attribution app built to show Shopify merchants the margin actually retained across every product, order, country, and sales channel, not just the revenue processed. Bloom generates profit and loss reports that break down contribution margin at every level of the business, from store-wide performance down to individual products, collections, and orders, giving merchants the visibility they need to find margin leaks before they compound and hurt profitability. Profit insights on products, ad campaigns, and email channels surface recommended actions to scale, cut, or fix what is driving or hurting margin, so decisions are grounded in actual profit data rather than revenue approximations. Custom dashboards let merchants build their own profit views around the metrics that matter most to their specific business model, removing the need for manual spreadsheets or time-consuming data exports. Revenue attribution in Bloom uses a multi-touch attribution model powered by Bloom Pixel, a first-party tracking layer that connects actual Shopify orders to ad spend across Facebook, Google, TikTok, and email platforms, identifying which channels truly drive profitable orders rather than just clicks or assisted conversions. Ad spend is fetched directly from each connected channel and reconciled against Shopify order data, costs, and expenses to reflect the cash actually retained. Bloom connects natively to Claude and ChatGPT via MCP, letting merchants query their profit data conversationally and surface insights without building manual reports. Profit insights are delivered via Slack and email summaries, keeping merchants and their teams informed without requiring them to log in.

What is BLOOM?

BLOOM is an autoregressive language model created to generate text in response to prompts, leveraging vast datasets and robust computational resources. As a result, it produces fluent and coherent text in 46 languages along with 13 programming languages, making its output often indistinguishable from that of human authors. In addition, BLOOM can address various text-based tasks that it hasn't explicitly been trained for, as long as they are presented as text generation prompts. This adaptability not only showcases BLOOM's versatility but also enhances its effectiveness in a multitude of writing contexts. Its capacity to engage with diverse challenges underscores its potential impact on content creation across different domains.

Media

Media

Integrations Supported

Shopify

Integrations Supported

Shopify

API Availability

Has API

API Availability

Has API

Pricing Information

$20/month
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Dayspring Technologies

Date Founded

2013

Company Location

India

Company Website

dayspring.tech/

Company Facts

Organization Name

BigScience

Date Founded

2021

Company Website

huggingface.co/bigscience/bloom

Categories and Features

Marketing Analytics

A/B Testing
Campaign Management
Channel Attribution
Customer Journey Mapping
Dashboard
Performance Metrics
Predictive Analytics
ROI Tracking
Social Media Metrics
Website Analytics

Categories and Features

Natural Language Generation

Business Intelligence
CRM Data Analysis and Reports
Chatbot
Email Marketing
Financial Reporting
Multiple Language Support
SEO
Web Content

Natural Language Processing

Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization

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