> For the complete documentation index, see [llms.txt](https://docs.bloomanalytics.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.bloomanalytics.io/profit/product-insights/product-momentum.md).

# Product Momentum

Product Momentum tracks how your Shopify products trend over time, so you can spot accelerating winners and declining products before it's too late. (147 chars)

### What is Product Momentum?

Product Momentum helps you understand how your products are changing over time. While Product Performance provides a snapshot of how products are performing today, Product Momentum focuses on trends and movement, helping you identify which products are gaining traction, maintaining stability, or showing signs of decline.

By tracking changes in product activity over time, Product Momentum helps you stay ahead of emerging opportunities and potential risks. Instead of waiting for performance changes to become obvious, you can identify trends early and take action with greater confidence.

### How it Works

Each product is automatically assigned to a momentum category based on recent performance trends. These categories help you quickly understand how products are changing over time, using thresholds you configure in Momentum Settings.

**On Fire**

Products showing strong positive momentum and among the fastest-growing in your catalogue. May present opportunities for increased visibility, inventory planning, or further investment.

**In Freefall**

Products experiencing a noticeable decline in performance. May require closer review to understand potential causes and identify opportunities for improvement.

**Margin Squeeze**

Products showing signs that performance trends may require additional attention. Monitoring them can help uncover opportunities to improve overall outcomes.

**Profit Engine**

Products delivering positive business outcomes and showing encouraging performance trends. Can provide valuable insights into what is working well across your catalogue.

**Losing Steam**

Products showing signs of slowing performance compared to previous periods. Not necessarily a cause for concern, but may benefit from additional monitoring.

**Holding Steady**

Products maintain relatively consistent performance over time. Provide stability within the catalogue and may require less immediate attention.

<figure><img src="https://749049708-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F9Cj862knfGNqzzPFauD6%2Fuploads%2FK2O9OGdczF4cb7rsDByR%2Fimage.png?alt=media&amp;token=8d30108d-aeb8-4d81-8303-0bf675762c1c" alt="Product Ads"><figcaption></figcaption></figure>

**How momentum is calculated**

Bloom evaluates momentum using three settings you configure: a Threshold Percentage that defines what counts as a meaningful change, a Minimum Units Floor that excludes low-volume products from calculations, and a Lookback Period (7, 14, 30, 60, or 90 days) that sets the comparison window. See "How to use it" below to configure these thresholds.

<figure><img src="https://749049708-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F9Cj862knfGNqzzPFauD6%2Fuploads%2Foo0WXRreLva481bSI1lN%2Fimage.png?alt=media&amp;token=a386dac8-1593-42b7-969c-2d206b2e7d80" alt="Momentum Settings"><figcaption></figcaption></figure>

### Data Available

The Product Momentum dashboard provides several tools to help you understand performance trends across your products.

**Insights**

Product Momentum includes Intel, prioritised to help you focus on the trends that may have the greatest impact on your business.

<figure><img src="https://749049708-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F9Cj862knfGNqzzPFauD6%2Fuploads%2Fgfu4UgYNSch95bFiNv9v%2Fimage.png?alt=media&amp;token=811c35c6-8af0-48bd-8f7d-222f18d3b074" alt="Insights"><figcaption></figcaption></figure>

| Priority | What it flags                                                                                   |
| -------- | ----------------------------------------------------------------------------------------------- |
| Critical | Significant changes that may require immediate attention.                                       |
| High     | Important opportunities or risks that are worth reviewing soon.                                 |
| Low      | Additional observations and trend-based recommendations that may help support future decisions. |

**Summary cards**

A quick overview of how products are distributed across momentum categories, so you can quickly understand the overall direction of your catalogue.

**Product Distribution**

A visual breakdown of products across momentum categories, helping you identify patterns and trends at a glance.

<figure><img src="https://749049708-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F9Cj862knfGNqzzPFauD6%2Fuploads%2FcWsQDqLWevKNLimtJFJ1%2Fimage.png?alt=media&amp;token=041a7c0e-45f3-4a1c-a0d7-e6a47d5faf45" alt="Product Distribution"><figcaption></figcaption></figure>

**Revenue by Label**

Shows how revenue is distributed across different momentum groups, providing additional context when evaluating product trends.

<figure><img src="https://749049708-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F9Cj862knfGNqzzPFauD6%2Fuploads%2Fqw49QapMSbSy8hP6YENv%2Fimage.png?alt=media&amp;token=4efff65d-9966-4d1c-ad4e-e781fe0d9993" alt="Revenue By Label"><figcaption></figcaption></figure>

**Revenue vs Profit Change**

A scatter plot comparing percentage changes in revenue and profit over the selected lookback period. Helps identify products experiencing sustainable growth, declining performance, or cases where revenue and profitability move in opposite directions.

<figure><img src="https://749049708-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F9Cj862knfGNqzzPFauD6%2Fuploads%2FG92tXVpbpmdjCTHrys4Q%2FChatGPT%20Image%20Aug%207%2C%202026%2C%2001_51_09%20AM.png?alt=media&amp;token=825bfb9f-374e-4d5c-8545-ca70132db42f" alt="Revenue Vs profit Change"><figcaption></figcaption></figure>

**Revenue vs Units Change**

A scatter plot comparing revenue growth against changes in units sold. Helps determine whether revenue changes are primarily driven by increased sales volume, pricing changes, or a combination of both.

| Axis            | What it shows                                  |
| --------------- | ---------------------------------------------- |
| Horizontal axis | Revenue Change (%) Over the Lookback Period    |
| Vertical axis   | Units Sold Change (%) Over the Lookback Period |

<figure><img src="https://749049708-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F9Cj862knfGNqzzPFauD6%2Fuploads%2FVLEzDS6lMddGCeurTizG%2FChatGPT%20Image%20Aug%207%2C%202026%2C%2001_56_25%20AM.png?alt=media&amp;token=c3e4bd87-154f-4e1e-9699-cd19ba49d5a3" alt="Revenue vs Unit Change and Hide Outliers"><figcaption></figcaption></figure>

**Hide Outliers**

A toggle that temporarily excludes products with unusually large performance changes from visualisations, improving readability and making broader trends easier to analyse.

**Product Momentum Table**

A detailed view of individual products and their recent performance trends. Search for products, apply filters, compare changes over time, and explore trend-related metrics at a more detailed level.

<figure><img src="https://749049708-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F9Cj862knfGNqzzPFauD6%2Fuploads%2F3kkHDB6jUyouqE69RUOX%2Fimage.png?alt=media&amp;token=07b999d9-2644-4766-b7e1-7fecc206d195" alt="Product Momentum Table"><figcaption></figcaption></figure>

### How to Use it

1\. Open Product Momentum from Product Insights.

<figure><img src="https://749049708-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F9Cj862knfGNqzzPFauD6%2Fuploads%2FiENdA9CZrjztwWBWdrxt%2Fimage.png?alt=media&amp;token=753fcb5c-e1c1-4cc3-92ad-e874f04f8edd" alt="Product Momentum"><figcaption></figcaption></figure>

2\. Configure Momentum Settings to match your analysis needs:

&#x20;  \- Threshold Percentage: set the minimum percentage change required for a product to be considered as having meaningful momentum. Lower thresholds capture smaller movements, while higher thresholds focus on more significant changes.

&#x20;  \- Minimum Units Floor: set the sales volume floor to exclude low-volume products from momentum calculations, preventing small sample sizes from producing misleading trends.

&#x20;  \- Lookback Period: choose the timeframe used for momentum analysis (7, 14, 30, 60, or 90 days). Comparing different periods helps identify both short-term and long-term trends.

<figure><img src="https://749049708-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F9Cj862knfGNqzzPFauD6%2Fuploads%2FzlvHhv848H2GRiv9lYNU%2Fimage.png?alt=media&amp;token=1ddfef6c-c4a4-4577-bdf8-d7126a9fec1d" alt="Momentum Settings"><figcaption></figcaption></figure>

3\. Review the Intel panel first, starting with Critical, then High, then Low priority items.

<figure><img src="https://749049708-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F9Cj862knfGNqzzPFauD6%2Fuploads%2FER0vE2mskjk2MsTTfOza%2Fimage.png?alt=media&amp;token=d775a90c-7c3b-45af-811d-0ab967e48b16" alt="Intel Panel"><figcaption></figcaption></figure>

4\. Use the summary cards and Product Distribution chart to check the overall direction of your catalogue.

<figure><img src="https://749049708-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F9Cj862knfGNqzzPFauD6%2Fuploads%2F26C1aDjahZimyQSfYwlU%2Fimage.png?alt=media&amp;token=1045129b-b362-46a9-aa9f-120dc834a697" alt=""><figcaption></figcaption></figure>

5\. Explore Revenue by Label, Revenue vs Profit Change, and Revenue vs Units Change to spot patterns. Toggle Hide Outliers if extreme values are distorting the view.

6\. Open the Product Momentum Table to inspect individual products. Search, filter, and sort to focus on the categories or metrics most relevant to you.

<figure><img src="https://749049708-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F9Cj862knfGNqzzPFauD6%2Fuploads%2FmoH0o1GjggG9d1Ol21xv%2FChatGPT%20Image%20Aug%207%2C%202026%2C%2002_06_21%20AM.png?alt=media&amp;token=88097311-8f94-49d7-9f62-132e56a0660e" alt="Product table"><figcaption></figcaption></figure>

7\. Export the Product Momentum Table in  CSV (.csv) for further analysis, reporting, or team collaboration.

<figure><img src="https://749049708-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F9Cj862knfGNqzzPFauD6%2Fuploads%2FicnoIXHluFyfD7fNZ6fy%2Fimage.png?alt=media&amp;token=e068727f-fc22-44f2-8167-b591d1ff2364" alt="Exporting Momentum Table"><figcaption></figcaption></figure>

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