> For the complete documentation index, see [llms.txt](https://docs.dstillery.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.dstillery.com/data-and-audience-products/audiences/retail-purchase-intent-audiences.md).

# Retail purchase intent audiences

Reach shoppers who show strong, current purchase intent.

### What it is

Retail Purchase Intent Audiences are specialized Custom Built Audiences seeded with purchase-intent signals. They help you reach shoppers who are actively in-market, rather than people who only match a demographic profile.

Dstillery identifies devices showing strong purchase intent, then finds similar shoppers at scale across programmatic channels.

Unlike on-site retail media, which is limited to retailer environments, these audiences extend reach across the open web. Engage high-intent shoppers wherever they spend time.

Use DS-1 to choose product seeds and build a purchase intent audience. See [Build a purchase intent audience](/using-ds-1/agents/build-a-purchase-intent-audience.md).

Available self-serve via DS-1, or fully managed through your Dstillery Client Services team.

### Why it's different

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#### Before

Most retail targeting relies on past purchase data. It tells you what someone bought, not what they are about to buy.
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#### After

Dstillery identifies real-time purchase intent signals across the digital journey. It finds in-market shoppers when they are most likely to convert.
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### How it works

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#### Capture purchase signals

Dstillery ingests retail purchase intent signals from partner data and behavioral activity, such as product-page visits.
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#### Score purchase likelihood

Multimodal AI scores 400M+ devices by likelihood to purchase.
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#### Deliver and refresh

A predictive audience is delivered to your DSP within 24 hours. The model refreshes every 24 hours, so targeting reflects current shopping intent.
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#### Activate

One model powers every activation method: user segments, contextual, curated deals, and custom bidding algorithms.
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### Key benefits

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* Targets shoppers based on what they are likely to buy next, not just what they bought before.
* Extends reach beyond on-site retail media, including competitive conquesting on competitor product pages.
* Uses retail data across Big Box Retail, Online Retail, CPG/Grocery, Travel, and Tech.
* Activates as ID-based or cookieless via ID-free technology across display, online video, and CTV.
  {% endhint %}

### Good fit if you

* Are in retail or CPG and want to reach shoppers who are actively in-market, not just people who match a demographic profile.
* Want to extend reach beyond your own site, including to shoppers researching competitor products.
* Want purchase-intent signals activated across display, online video, and CTV.

### Pricing

See [Pricing](/data-and-audience-products/audiences/pricing.md) for current rates.