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Product segments in Maestra let you group products that share the same characteristics — for example, all items from a specific category, products on sale, or items currently out of stock. Once a product segment exists, you can reuse it anywhere filters are available: inside other product filters, in campaign content, in flows, and in analytics. The fastest way to build a product segment is to start from a filter you have already configured on the product list. Maestra will turn that filter into a real-time segment that recalculates automatically as your catalog changes.

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Steps

1

Open the product list

In your Maestra account, go to Data → Products.
2

Build and apply a filter

Add the filter conditions that describe the products you want to group together, then click Apply.Take a moment to confirm that the products shown in the list match what you expect — the segment will include exactly the set of products that this filter returns.
3

Create a segment from the filter

Click Create segment.
4

Fill in the segment details

Provide the following information:
  • Name (required) — the human-readable name shown throughout Maestra. Pick something descriptive, such as “Out of stock — men’s sneakers” or “Discounted summer collection.”
  • System name — generated automatically from the name, but you can edit it. The system name is used in integrations and API calls.
  • Type (required) — choose Real-time. Real-time segments are recalculated continuously, so a product enters or leaves the segment the moment it starts or stops matching the filter.
  • Description (optional) — a short note explaining what the segment is for and who should use it.
  • External ID (optional) — useful if you need to reference the segment from an external system.
5

Save the segment

Click Create. The segment is saved and becomes immediately available across Maestra.

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What happens next

The new segment is a real-time product segment built from a filter. You can:
  • Use it as a condition inside other product filters to narrow results further.
  • Reference it when configuring product recommendations, campaigns, and flows.
  • Use it as a building block for more complex segmentation logic — for example, combining several filter-based product segments together.
Because the segment is real-time, you do not need to refresh or recalculate it manually. As soon as a product’s data changes and it begins to match (or no longer matches) the underlying filter, the segment membership updates automatically.