#### Cost Metrics 1. [**Product cost**](#product-cost) 2. [**Other COGS**](#other-cogs) 3. [**Order Fulfillment cost**](#order-fulfillment-costs) * [Shipping cost](#shipping-cost) * [Handling cost](#handling-cost) * [Return handling cost](#return-handling-cost) * [Tariff cost](#tariff-cost) * [Amazon Fees](#amazon-fees) * [Payment Processing Fees (Gateway cost) ](#payment-processing-fees) 4. [**Marketing Spend**](#marketing-spend) * Meta Ads * Google Ads * Tiktok Ads * Snapchat Ads * Pinterest Ads * Non-Ad Marketing Cost
#### Contribution Margins 1. [**CM1 (Gross Profit)**](#gross-profit-cm1) * [Gross Profit (CM1) %](#gross-margin-cm1) 2. [**CM2**](#contribution-margin-2-cm2) * [CM2%](#contribution-margin-2-cm2-1) 3. [**CM3** ](#contribution-margin-3-cm3) * [CM3%](#contribution-margin-3-cm3-1)
#### Marketing Metrics 1. [Performance Metrics](#marketing-performance-metrics) * [MER(Marketing Efficiency Ratio)](#mer-marketing-efficiency-ratio) * [aMER(Acquisition MER)](#amer-acquisition-mer) * [New Customers](#new-customers) * [BEROAS(Breakeven Return on Ad Spend)](#beroas-breakeven-return-on-a-d-spend) * [CAC(Cost per New Customer)](#cac-cost-per-new-customer) * [MPR(Marketing Profit Ration)](#mpr-marketing-profit-ratio)
#### Net Profit 1. [**Net Profit Margin (%)**](#net-profit-margin) 2. [Cost of Goods Sold %](#costs-of-goods-sold) 3. [Cost to Fulfill Orders %](#cost-to-fulfill-orders) 4. [Cost to Acquire Customers %](#cost-to-acquire-customers) 5. [Cost to Operate Business %](#cost-to-operate-business) ## Metrics Breakdown ## Gross Merchandise Value (GMV) GMV is the total value of products based on the compare-at-price (original price). This is usually higher than the sale price. ``` GMV = Σ (Compare-at Price × Quantity Ordered) ``` ## Price Cut (Mark Down) Markdown is the price difference between the compare-at-price and the actual sale price. This is the total value of the price cut applied to products compared to their original prices ``` Markdown = Σ ((Compare-at Price – Variant Price) × Quantity Ordered ```
**2. Bloom’s “Original Order Date” Refund Mode (Optional)** Bloom provides a recommended alternative setting where refunds are attributed to the month the original order was placed rather than the refund date.
| Column | Description |
|---|---|
| Product Type | The product type set in Shopify. |
| SKU | The product SKU. |
| Tags | Product tags from Shopify. |
| Status | The product's status. |
| Vendor | The product’s vendor. |
| Units Sold | Number of units sold in the selected date range. |
| Units Refunded | Number of units refunded in the selected date range. |
| Inventory Quantity | Current inventory quantity. |
| Gross Sales | Gross sales for the product. |
| Discounts | Discounts applied. |
| Refunds | Refund amount. |
| Net Sales | Net sales after discounts and refunds. |
| Total Sales | Total sales for the product. |
| Product COGS | Cost of goods sold for the product. |
| Gross Profit | Profit after product costs. |
| Gross Margin % | Gross profit as a percentage. |
| Campaign Link | Campaign link attached for individual-product ad tracking. |
| Ad Spend | Ad spend attributed to the product. |
| Net Profit | Profit after all tracked costs. |
| Product ROAS | Return on ad spend at the product level. |
| Inventory Cost | Cost value of current inventory. |
| Inventory Value | Retail value of current inventory. |
# Country Profits See how every country performs before and after ad spend, with each market segmented so you know where to scale, fix, or invest. ### What is Country Profits? Country Profits turns your global sales data into clear, actionable insights. It automatically segments every country by performance, surfaces the risks and opportunities that matter most, and shows exactly where revenue is being won or lost, both before and after marketing spend. Use it whenever you are deciding where to double down, where to fix costs, or where to test new campaigns. The page is organized into two views: Country Gross Profit and Country Profit Margin. ### Country Gross Profit Absolute profit figures by country before marketing costs. Use this to understand which markets are operationally efficient and where costs are hurting margin. \[[Country Gross Profit](https://docs.bloomanalytics.io/country-profits/country-gross-profits)] \- Identify your strongest revenue and profit contributors at a glance. \- See which operational costs (shipping, product, handling, or transaction fees) are eating into margin the most. \- Use the Revenue vs Profit chart to spot the gap between what a country earns and what it keeps. \- Use the Where Is The Money Going? chart to pinpoint the biggest margin killer per country. \- Countries are segmented into Scale, Fix Costs, Invest, Review, and Watch so you always know where to focus. \- Compare all markets side by side in the Country Details Table and export for reporting. ### Country Profit Margin Builds on gross profit by layering in ad spend, revealing how each country truly performs once marketing costs are accounted for. \[[Country Profit Margin](https://docs.bloomanalytics.io/country-profits/country-profit-after-adspend)] \- See how profitability shifts once ad spend is factored in. \- Identify markets where ads are working and where they are losing money. \- Track ROAS and CPA by country to measure true marketing efficiency. \- Use the Profit vs Ad Spend chart to distinguish between a marketing and an operational problem. \- Spot high-margin countries with zero ad spend as your next growth opportunity. \- Countries are segmented into Scale, Hold, Fix or Cut, and Test Ads so you always know where to act. \- Compare CM3, ROAS, and CPA across all markets in the Country Details Table.
# Country Gross Profits See absolute profit by country in Bloom, auto-segment markets by revenue and margin, and pinpoint exactly where each market's revenue is going. ### What is Country Gross Profit? Country Gross Profit focuses on absolute profit figures by country, helping you identify which markets contribute the most (and least) to your bottom line in real currency terms, before any marketing costs. On top of the raw profit figures, Bloom automatically segments each country by revenue and margin performance, surfaces plain language insights, and breaks down where every market's revenue is going, so you can prioritize where to protect, fix, or invest. ### How it Works Bloom automatically sorts countries into five segments based on revenue and margin performance, so you can quickly prioritize where to focus. Each segment card shows the number of countries in that category and the combined profit (CM2) generated for the selected period.
| Column | Description |
| Country | The country name. |
| Status | Segment classification: Scale, Fix Costs, Invest, Review, or Watch. |
| Suggested Action | Auto-generated recommendation based on performance (e.g, 'protect margin,' 'test paid channels'). |
| Orders | Total orders placed from that country in the selected period. |
| Net Revenue | Revenue after discounts and refunds, with period-on-period change. |
| CM2 | Contribution Margin 2, absolute profit after variable costs (Product Cost & Order Fulfillment Costs). |
| CM2 % | CM2 as a percentage of net revenue, with period-on-period change. |
| Revenue Share | This country's share of total revenue. |
| Shipping Impact | Percentage of revenue consumed by shipping costs. |
| Profit/Order | Average CM2 profit generated per order for that country. |
| Top Cost Driver | The single largest cost category eating the margin, with its percentage share of revenue. |
\ \
# Product Insights Analyze sales, costs, ad spend, ROAS, and profit for each Shopify product and variant in Bloom's Product Profits report ### What is Product Insights? [Product Insights](https://app.bloomanalytics.io/intelligence/product) is your central hub for understanding product performance and identifying where to focus your attention. It brings together key product intelligence in one place, helping you quickly identify opportunities, risks, and trends across your catalogue without digging through multiple reports. Whether you're looking for your best-performing products, evaluating advertising performance, or tracking product momentum, Product Insights helps you make faster, more informed decisions. Product Insights automatically analyses product sales, profitability, advertising performance, and momentum trends to classify products into meaningful categories. Rather than manually reviewing large volumes of product data, it continuously evaluates performance using configurable business rules and thresholds, so you can tailor classifications to match your business model and priorities.
# Product Ads Product Ads gives you a product-level view of Shopify advertising performance, so you can spot profitable ads, budget drains, and hidden opportunities. ### What are Product Ads? Product Ads helps you understand how advertising is impacting your products. Instead of looking at campaign-level metrics alone, it provides a product-focused view of your advertising performance, making it easier to see where your marketing efforts are creating value and where opportunities for improvement may exist. By bringing product and advertising data together, Product Ads helps you evaluate the effectiveness of your advertising strategy at a more meaningful level, so you can make more informed decisions about where to invest, optimize, or reassess your advertising efforts. ### How it Works Each product is automatically assigned to a category based on its advertising performance. These categories are designed to help you quickly understand how advertising is contributing to the success of your products, using thresholds you configure in Ad Settings. **Profit Maker** Products that are performing strongly from an advertising perspective. Often among the most successful at turning advertising efforts into business results, and may represent opportunities for further growth and investment. **Margin Trap** Products that may appear to be performing well at first glance but could benefit from closer review. Highlight opportunities to better understand the relationship between advertising performance and overall business outcomes. **Budget Drain** Products that may require optimisation or reassessment. Indicate areas where advertising performance could be improved, and reviewing them can help allocate resources more effectively. **Money Pit** Products that require additional investigation before further investment. May benefit from a review of advertising strategy, creative assets, targeting, or overall product positioning. **Hidden Gem** Products that show strong potential but may not currently receive significant advertising attention. Can represent valuable growth opportunities and may benefit from increased visibility. **Dead Weight** Products that currently contribute limited value from an advertising perspective. Worth reviewing to determine whether changes can improve performance or whether resources could be allocated elsewhere.
# Cost Setting # Order Handling Bloom allows you to add handling costs in two ways: ### 1. Cost per Order A flat cost is applied once to every order, regardless of the number of items.
# Product Analysis Learn how Bloom helps you answer how compatible your product lineup is with customer demand using various data metrics. Assessing Shopify profitability is impossible without analyzing the performance of various listed products. Bloom bridges this gap in profit analysis with its comprehensive Product Analysis feature. ## **Benefits and Uses** Bloom’s Product Analysis is created to augment a merchant’s profit analysis. The insights offered by the analysis report helps discover how much product strategy is affecting profitability, and direct actions to optimize product strategy. With Product Analysis, you can: 1. **Identify Top Sellers** Quickly pinpoint the products bringing in the highest revenue and profit. This insight allows for strategic allocation of efforts and resources to maximize sales from those products. 2. **Refining Your Pricing Approach** Analyze gross profit margins to refine pricing strategies. Boost profitability while staying competitive in the marketplace. 3. **Insights into Product Variants and Types** Understand how different product types and variants perform. This knowledge supports better inventory management, marketing strategies, and product development. 4. **Trends in Inventory and Sales** Monitor sales trends and inventory levels to avoid stock shortages and ensure a smooth supply chain. Accurately forecast demand for effective inventory restocking. 5. **Analysis Through Tagging** Use tags to categorize products for focused analysis. This can uncover trends or patterns linked to specific product attributes. 6. **Data-Driven Decisions and Strategic Planning** Leverage comprehensive product performance metrics to revamp product strategy for business growth and profitability. ### :key:Key Features and Functions 1. #### Metrics Overview in Product Analysis The Product Analysis table showcases key metrics for assessing product performance, outlined as follows: * **Product Title:** Name of the product. * **Variant Title:** Name of a product’s variant. * **Price:** Selling price of the product. * **Product Type:** Category or classification of a product. * **Tags:** Identifiers categorizing products based on characteristics like seasonality or promotions. * **Status Quantity:** Available stock quantity of the product. * **Net Sales:** Total revenue generated from a product's sales. * **COGS (Cost of Goods Sold):** The cost involved with producing or acquiring the product. * **Gross Profit:** Revenue after deducting the cost of goods sold. * **Gross Margin:** Gross profit expressed as a percentage of revenue. 2. #### Interactive Functionality Customize your product analysis using these options to make Bloom meet your specific requirements. * **Date Range Selection:** Change the date range to analyze product performance over desired periods. * **Column Filtering:** Filter each column to focus on specific products or metrics of interest. * **Column Alteration:** Hide/Show columns as preferred. * **Export Options:** Export data in Excel, CSV, or PDF file formats for further analysis. ### How to Use Product Analysis Here is an in-depth look at Bloom’s Product Analysis section to help you navigate and use the feature easily. 1. #### Accessing the Product Analysis Table Click on “Product Metrics” in the left panel. You can expand this panel if it’s minimized by clicking on the \[insert three parallel line icon] in the top left corner of the app. 2. #### Viewing the Metrics The available product performance metrics are displayed in the table of the Product Analysis main page. 3. #### Customizing Items Displayed Choose the metrics you wish to view using interactive options like date range selector, column filters, data fields, rows per page, and row size. Focus on the exact product performance aspects you want. 4. #### Exporting Data Files Export your data to your desired location in the file format of choice for additional purposes like deeper analysis, backup data storage, file sharing, etc. # Custom Operating Expense Add custom operating expenses in Bloom by connecting a Google Sheet, so each expense entry syncs into your dashboard by date. ### What is a Custom Operating Expense? Custom Operating Expense is a Bloom feature that lets you add your operating expenses through a Google Sheet connected to Bloom. Once connected, Bloom syncs every expense entry you add, based on date, directly into your dashboard. You don’t have to upload or select your own sheet because Bloom generates a dedicated Google Sheet that you rename and start filling in.
| Field | Description |
| line_item_name (Column A) | Required. Enter the name of the operating expense. |
| amount (Column B) | Required. Enter the expense amount. Only numeric values are allowed. |
| start_date (Column C) | Required. Enter the start date for the expense in yyyy-mm-dd format. |
| end_date (Column D) | Required. Enter the end date for the expense in yyyy-mm-dd format. |
| category (Column E) | Required. Choose the expense category from the dropdown list. |
| expense_type (Column F) | Required. Specify whether the expense is a Fixed amount or a percentage. |
| reoccurence (Column G) | Required. Specify how often the expense recurs (for example: weekly, monthly, yearly). |
| status (Column H) | System-generated. Automatically updates to show whether the row has synced to Bloom. You do not need to edit this column. |
# Bloom Integrations # AI / MCP Integrations Connect Bloom to AI assistants like ChatGPT and Claude through MCP to explore profit, KPIs, and campaign performance in natural language. ### Connect ChatGPT With Bloom via MCP Bloom's MCP integration securely connects ChatGPT to your store's live profitability data. ChatGPT analyzes that data through natural-language questions, so you can investigate performance, compare results, and understand what drives or reduces profit in plain English rather than building reports manually. #### How to connect Go to the Integrations page in Bloom and click "Connect" on the ChatGPT card. \ You will be directed to your ChatGPT account. Add the Bloom plugin to finish the setup. **Note:** Only Admins and the account owner can connect to ChatGPT. To give your team access to the ChatGPT MCP, grant them Admin access.
# Marketing Integrations Connect Bloom to Google, Facebook, TikTok, Amazon, and more to track ad spend and attributed revenue alongside profit for accurate ROAS analysis. ### Available marketing integrations \ **Google Ads**: Track ad spend and campaign performance alongside revenue to provide a clear picture of Return on Investment. \ **Google Analytics 4**: Analyze detailed visitor metrics for targeted marketing campaigns and user experience set up. \ **Facebook Ads**: See which Facebook Ad campaigns translated into sales and optimize for better conversions. \ **Reddit Ads**: Connect Reddit Ads and track ad spend, campaign performance, and the profitability of sales generated through Reddit. \ **TikTok Ads**: Understand the impact of your TikTok Ads on sales and growth. \ **Snapchat Ads**: Gain insights into how your Snapchat Ads influence your store's performance. \ **Pinterest**: Connect Pinterest Ads to track ad spend, attributed revenue, and campaign performance. \ **Amazon**: Connect Amazon to analyse marketplace sales, orders, fees, refunds, and profitability. \ **Amazon Ads**: Connect Amazon Ads to compare advertising spend, attributed sales, and campaign returns. \ **AppLovin**: Connect AppLovin to sync ad spend and campaign performance data with Bloom for accurate ROAS and profitability analysis.
#### How to connect The steps are the same for every marketing integration: 1\. Open the integration card for the app you want to connect. 2\. Click "Connect." 3\. Authorize the account. 4\. Return to Bloom to finish the setup.
# Shipping Integrations # Email Marketing Integrations # Subscription Integrations # Slack Integration with Bloom Connect Bloom with your Slack workspace to receive automated daily updates on essential profit metrics straight to your preferred Slack channel, helping your team stay on top of performance trends. #### **Step 1:** Navigate to [**App Settings** ](https://app.bloomanalytics.io/settings)**> Email Preferences** and enable the Slack Summary toggle. #### **Step 2:** Click on **Connect Slack Account** and authenticate your Slack workspace.
# Setting Up Costs and Expenses Bloom empowers you to track and analyze your Shopify store's expenses, providing crucial insights for profit-oriented decision-making. Here's how to set up various cost categories: ### :point\_right:Access the Cost Settings Page To access this section, simply click on the “Cost Settings” option in the Bloom app left navigation panel. ### :point\_right:Types of Costs Bloom tracks these five costs associated with Shopify operations: * **Product Cost** * **Gateway Cost** * **Order Handling Costs** * **Shipping Cost** * **Other Costs** Here’s a detailed breakdown of these costs: ### 1. Product Cost Knowing the true cost of each product is the foundation of profit analysis. Without it, you cannot determine your profit margin per item or identify your most profitable products. Bloom lets you understand the interplay between Shopify costs, manually added costs, and the import/export process for accurate product cost calculation. * #### Syncing Shopify Costs * Bloom initially pulls the cost per item data from your Shopify store. * Any product cost values added in your Shopify database gets automatically populated in Bloom. * #### Adding/Overriding Costs in Bloom * If a product doesn’t have a cost in Shopify, or you need to adjust its cost, you can directly edit the product’s "Bloom cost" within the app. * Bloom costs take priority over Shopify costs in profit calculations. #### **Steps to edit Bloom Cost:** -> In the Expenses page, find the Product Cost section. -> Hover over a variant's existing "Bloom cost" in the table. -> Click the Edit (pencil) icon. -> A modal window will open with a form: Enter the new Amount. Specify the Start Date and End Date for this specific cost. Click Save. -> You can also add multiple costs across different date-ranges for the same variant by clicking on the “Add Cost” button in the same form. * #### Editing Cost Management: CSV Export/Import For bulk updates, follow these steps: * **Exporting the Product Cost CSV** -> In the Expenses page, locate the Product Cost section. -> Click the Export CSV button. -> This downloads a CSV file with columns: * *Product\_title* * *Variant\_title* * *SKU* * *Product\_id* * *Variant\_id* * *Shopify\_cost* * *Bloom\_cost* * **Editing the CSV** * Open the CSV in a spreadsheet program (e.g., Microsoft Excel, Google Sheets). * Focus on the bloom\_cost column. * Enter the desired cost values for each product variant. Leave the bloom\_cost blank if you want to use the shopify\_cost. * **Importing the CSV** * After editing, save your changes to the CSV file. * On the Expenses page (Product Cost section), click Import CSV. * Select the updated CSV file and upload it. * Bloom will overwrite existing 'Bloom cost' values with the new data from your CSV. ### :point\_right:**Points to Note** * **Multiple Costs per Variant:** You can add multiple cost values for a single variant, each with its own date range. This helps track its cost variations over time (Ex: Price change due to input price changes). * **Prioritization:** Bloom's profit calculations smartly prioritize costs based on the order date: * For an order within a specific date range, the corresponding cost value is used. * Bloom uses the most recently added cost if no matching cost entry is found. * **Data Integrity:** Ensure you only modify the **bloom\_cost** column in the CSV. Changes to other columns might lead to unexpected results. * **Regular Review:** Periodically review your product costs, especially if your supplier costs or pricing strategies change. * **Review Shopify Costs:** Start by verifying the "**cost per item**" values set up within your Shopify store. * **Filter Products:** Apply a range of filters to identify products without a "cost per item" value in Shopify for quick updates. * **Add/Override Costs in Bloom:** Add product costs directly within Bloom if you want. These take priority over Shopify costs during profit calculations. By adding the right mix of automation and manual, custom product cost value to your profit analysis, Bloom ensures there’s no room for error in arriving at your profit figures. ### 2. Gateway Cost Payment gateway costs are a crucial influence on your profitability. Bloom profit analysis includes this cost, right from the moment payout data is collected. Get to know your gateway costs for every transaction, and how it’s affecting your revenue. The costs included here are: * #### Shopify Payments If you use Shopify’s default payment gateway, all applicable fees for transactions through it are imported automatically. * #### Third-party Gateway Payments For fees applied by third-party payment gateways, like PayPal, you can choose to let Bloom update them automatically. If you wish to add values manually, then follow these steps: -> Click on the Add Gateways Cost button. -> Select your gateway from the list of options in the dropdown menu. If it’s unavailable, contact customer support. -> Add the Percentage Fee. -> Add the Fixed Fee. -> Click Save. ### 3. Order Handling Costs Fulfilment activities like order packaging and handling can incur expenses that can cut away at your profits. Bloom accounts for these costs during profit analysis to give you accurate profit values, along with insights into how you can reduce them, like updating product prices and improving operational efficiency. * *Cost Basis:* Choose between Cost per Order or Cost per Item. * *Global Setting:* You can apply this cost structure across your Shopify store. ### 4. Shipping Costs Shipping products with charges like shipping label fees included can affect profit margins. Bloom considers all costs that fall under shipping to perform accurate profit analysis. Insights from this can be used to set competitive shipping charges, including free shipping, an important factor customers consider during purchase. * **Shopify Shipping** Merchants using Shopify for their shipping needs can simply enable the “Use Shopify shipping for shipping costs” option. Bloom will automatically sync with Shopify and retrieve this data. * **Shipping Charges** Enable the “Use Shipping charged for shipping costs” option if your shipping costs equal what you’ve charged customers for shipping. ### 5. Other Costs Bloom adds the miscellaneous expenses a Shopify merchant incurs as part of routine store operations, like rent, salaries, utilities, etc. This ensures that your profit analysis doesn’t miss these costs. Insights from their analyses gives the full picture of your overheads, helping spot opportunities to save costs. * **Custom Expenses** Add costs that are unique to your store. * **Adding Other Costs** * Click on Add Other Costs * Choose the cost type * ***Fixed Cost:*** Add expense name, amount, frequency (one time, daily, weekly, monthly, yearly), category (marketing, salaries, rent, etc.), start date, and end date (optional). * ***Based on Percentage:*** Add expense name, percentage of total sales, frequency (daily, weekly, monthly, etc.), category (marketing, salaries, rent, etc.), start date and end date (optional) * Click on **Save** Accurate cost setup in Bloom is essential for: * **Real Profit Margins:** Accurately accounting for every expense is the only way to measure your true profit margins and prevent decisions based on incorrect profit figures. * **Informed Pricing Strategies:** Knowing the cost per product is key to setting prices that achieve your target profit margins. * **Cost Management:** By tracking expenses in detail, you can identify and address areas where costs exceed expectations, boosting your bottom line. # Shipping Costs ## How to Capture Accurate Shipping Costs? Shipping products with charges like shipping label fees included can affect profit margins. Bloom considers all costs that fall under shipping to perform accurate profit analysis. Insights from this can be used to set competitive shipping charges, including free shipping, an important factor customers consider during purchase. ### Steps to Capture Shipping Costs in Bloom: #### **1. Navigate to Shipping Settings:** * Go to the **Cost Settings** > **Shipping**. #### **2. Create a Shipping Rule:** On the Shipping page, click **Create Shipping Rule** to define how shipping costs should be applied to your orders. Bloom provides three options to add shipping costs based on your **country** and **shipping mode** (if any): * **Fixed Price on All Orders:** Apply a flat shipping rate to all orders, regardless of weight or quantity. Enter the fixed shipping cost in the provided field and click save to apply the rule.
# Shipping Costs Setup Shipping Costs Setup allows you to manage how shipping expenses are added, calculated, and tracked in Bloom so your profit reporting reflects real operational costs.
Here's what happens when you ask a question: 1. You ask a question in your AI assistant, such as "What was my profit last month?" 2. The AI assistant determines which Bloom tool can answer the question. 3. The assistant sends a request to Bloom's MCP server. 4. Bloom retrieves the relevant data and returns the results. 5. The AI assistant presents the information in a clear, conversational format.
This allows you to explore your business data using natural language instead of manually navigating reports and dashboards. Bloom remains the source of truth for your analytics and profitability data, while the AI assistant acts as a convenient interface for accessing and understanding that information. ### How to Connect Bloom MCP? #### [Set up Bloom MCP in Caude](/bloom-+-ai-assistants-via-mcp/connect-bloom-mcp-to-claude) ### Frequently Asked Questions #### Do I need technical knowledge to use MCP? No. Once connected, you can interact with your Bloom data using natural language. #### Can MCP change my store data? No. Bloom's MCP server provides read-only access to analytics and reporting data. #### Can I disconnect MCP later? Yes. You can remove the connection at any time from your AI assistant or Bloom settings. # Connect Bloom MCP to Claude Follow these steps to connect Bloom to ChatGPT using MCP. ### Step 1: #### Navigate to [Integrations ](https://app.bloomanalytics.io/integrations)> Claude MCP and click on Connect
* **Profitability:** Understand what is impacting your net profit, margins, and overall business health.
* **Product Performance:** Identify your most profitable products, underperforming SKUs, and growth opportunities.
* **Marketing Performance:** Analyze ad spend efficiency, ROAS, and whether your campaigns are driving profitable growth.
* **Sales Insights:** Discover revenue trends, sales drivers, and changes in business performance.
* **Cost Analysis:** Understand how COGS, fees, shipping, and other expenses impact profitability.
Explore the prompt categories below to find ready-to-use questions and uncover actionable insights from your Bloom data. ### [Profit Analysis Prompts](/mcp-prompt-library/profit-analysis-prompts) ### [Marketing & Ads Prompts](/mcp-prompt-library/marketing-prompts) ### [Decision-Making Prompts](/mcp-prompt-library/decision-making-prompts) ### [Store Performance Prompts](/mcp-prompt-library/store-performance-prompts) # Profit Analysis Prompts Ask Claude/ChatGPT to analyze your profitability using Bloom data. Understand revenue trends, profit margins, costs, product performance, and the key drivers affecting your net profit across Shopify, Amazon,
| UTM Parameters |
|---|
| Meta Ads |
| Google Ads |
# Meta Ads UTM Parameter Meta Ads (Facebook & Instagram) run multiple campaigns and ads simultaneously. By adding Bloom’s tracking parameters, Bloom can **accurately attribute each visitor and conversion** to the exact campaign and ad, giving you a clear view of your marketing performance. #### When adding UTMs, choose from the following to ensure accurate tracking by Bloom: ### [If You Have Existing UTM Parameters in Your Ads](https://docs.bloomanalytics.io/bloom-pixel/enable-bloom-pixel-3-steps/meta-ads-utm-parameter/if-you-have-existing-utm-parameters-in-your-ads) ### [If You Have No Existing UTM Parameters](https://docs.bloomanalytics.io/bloom-pixel/enable-bloom-pixel-3-steps/meta-ads-utm-parameter/if-you-have-no-existing-utm-parameters) ### [To Verify Added Parameters](https://docs.bloomanalytics.io/bloom-pixel/enable-bloom-pixel-3-steps/meta-ads-utm-parameter/verify-added-parameters) # If You Have Existing UTM Parameters in Your Ads 1. Open **Meta Ads Manager**. 2. Select the **campaigns** you want to edit, then select the **ads** view.
* Google Ads will validate your tracking setup. * If there’s an issue with the parameters, you’ll see an error message — fix it before saving. 7\. Once the test passes successfully, click **Save** to apply your changes.
**Flow Settings:** * Edit your flow and open each **Email** or **SMS** action. * In the **Settings** section (right-hand column), make sure **Enable UTM Tracking** is **ON**. # Snapchat Ads UTM Parameters To ensure accurate tracking of your Snapchat campaigns, you need to append UTM parameters to the destination URLs of your ads. This allows Bloom Profit Analytics to capture campaign, ad, and ad set data for better performance insights. Since Snapchat does not support bulk editing of tracking parameters, these steps must be followed for each ad individually. ### Steps to Add UTMs to Snapchat Ads **Step 1:** **Open Manage Ads -** In your Snapchat Ads Manager, go to the **Manage Ads** table. **Step 2:** **Select Ads Section -** Click the **“Ads”** tab located at the top-left of the table. **Step 3:** **Access Edit Option -** Hover over any ad to reveal the **“Edit”** button. Click it, and an editing window will appear on the right side of your screen.
* You must repeat this process for each ad individually, as Snapchat does not allow bulk updates for tracking parameters.
* Any new ads created will also need the UTM parameters applied. You can follow the same process above or refer to the tutorial when creating new ads. # Pinterest Ads UTM Parameter Easily track the performance of your Pinterest ads by adding UTM parameters to your destination URLs. This helps you analyze campaign, ad group, and ad-level data in tools like Google Analytics, ensuring accurate attribution and better optimization decisions. ### Steps to Add UTMs to Pinterest Ads **Step 1:** In your Pinterest Business account, go to **Ads** → **Reporting**. **Step 2:** In the Campaigns reporting table, locate the ad you want to update and click the **edit icon** next to it.
1. Log in to your Shopify admin panel and navigate to **Settings > Customer events**. 2. Click on **" Add custom pixel"**
analytics.subscribe("checkout_completed", async (event) => {
try {
const checkout = event.data.checkout;
const visitorId = document.cookie
.split(';')
.find(c => c.trim().startsWith('bloom_tracker_v10='))
?.split('=')[1] || null;
await fetch('https://bloom.[your-domain]', {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({
event: 'checkout_completed',
url: event.context?.document?.location?.href,
cookie_value: visitorId,
event_payload: JSON.stringify({
orderId: checkout.order?.id,
checkoutToken: checkout.token
}),
source: 'CustomBloomPixel',
shop: event.context?.document?.location?.host,
storeFrontURL: event.context?.window?.origin,
buyerEmail: checkout.email
}),
keepalive: true
});
} catch (error) {
console.error('Bloom tracking error:', error);
}
});