# Dynamic Ads & Dynamic Product Ads (DPA)

**Acronym:** DPA  
**Category:** platform  
**Short Description:** Automatically personalized ads that leverage user behavior data and product catalogs for relevant targeting.  
**Last Updated:** 2026-05-30T00:00:00Z

## Definition

Dynamic ads automatically generate personalized ad content by combining product catalog data with sophisticated user behavior signals. These ads intelligently display relevant products based on users' interests, browsing patterns, and previous interactions with the advertiser's website or app. The system continuously optimizes product selection and messaging based on performance data and user response, making them particularly effective for e-commerce and retail advertisers.

## Examples

- Retargeting campaigns showing specific products users viewed with current pricing and availability
- Cross-sell campaigns recommending complementary products based on purchase history
- Broad prospecting campaigns using catalog-wide bestsellers and trending items
- Dynamic carousel ads showcasing personalized product collections

## FAQs

### What are dynamic ads (DPAs)?

Dynamic ads — including Dynamic Product Ads (DPAs) — automatically generate personalized ads by pulling products from a catalog and showing each user the most relevant items, including the exact products they viewed or added to cart. Instead of building each ad manually, the platform assembles personalized product ads at scale from your catalog and real-time signals, keeping price and availability current.

### How do Dynamic Product Ads work?

They combine a product catalog with user signals (from a pixel/SDK or audiences): when a user browses or abandons products, the platform automatically serves them ads featuring those exact items (or related/recommended ones), populated with live catalog data. For prospecting, dynamic ads can show catalog products matched to likely-interested users. The catalog supplies the products; the signals and algorithm decide which to show whom.

### What is dynamic retargeting?

Dynamic retargeting is the most common use of DPAs: automatically showing users ads for the specific products they viewed, added to cart, or abandoned, pulled live from the catalog. It's highly effective because it reminds high-intent shoppers of the exact items they considered, with current price and availability — turning browsing and abandonment into recoverable conversions, all automatically at scale across the entire catalog.

### What do dynamic ads require?

A product catalog (feed) connected to the platform, accurate and current; tracking that captures product-level user behavior (a pixel/Conversions API or app SDK passing product IDs); and the dynamic-ads campaign setup. Catalog quality is critical — wrong prices or out-of-stock items produce bad ads. With clean catalog data plus product-level signals, the platform can personalize and retarget across the whole inventory.

### Can dynamic ads be used for prospecting, not just retargeting?

Yes. Beyond retargeting known browsers, dynamic ads can prospect — showing catalog products to new users the algorithm predicts will be interested, based on their signals and similarity to converters (e.g. Meta's 'dynamic ads for broad audiences'). This extends the catalog-driven, automated personalization to top-of-funnel acquisition, not just re-engaging people who already viewed specific products. Both modes rely on the same catalog and signal foundation.

## Related Terms

### Component Terms

- **[Product Feed](/resources/glossary/general/product-feed)**: The structured data source that provides product information for dynamic ad generation
- **[Remarketing](/resources/glossary/general/remarketing)**: A key use case for dynamic ads, showing previously viewed products to interested users
- **[Product Catalog](/resources/glossary/general/product-catalog)**: The complete product database that dynamic ads pull from to create personalized recommendations
- **[Behavioral Targeting](/resources/glossary/general/behavioral-targeting)**: The targeting methodology that uses user behavior signals to determine which products to show

### Child Terms

- **[E-commerce](/resources/glossary/general/ecommerce)**: The broader category focused on driving online sales through product promotion