# PA Particular Audience

- **Website:** <https://particularaudience.com>
- **Primary alias:** `particularaudience.com`
- **Founded:** 2019
- **Employees:** 11+
- **Location:** Surry Hills, New South Wales, Australia
- **Company kind:** PRIVATELY HELD

## Description

Particular Audience is a leading brand offering serviced AI software that is designed to boost revenue for online retailers. With their innovative PA platform, retailers can experience increased conversions and improved margins, all while providing customers with effortless and relevant experiences on their websites. The brand achieves this by connecting the right customer to the right product at the right time, using 100% anonymous personalization. Particular Audience offers a range of products and services, including automated product bundling, vector search, recommendations, and smart pricing technologies and incentives. Their eCommerce AI solutions cater to a particular audience, delivering incremental and high-margin revenue for retailers, as well as premium exposure to in-market customers for brands. Additionally, Particular Audience offers advanced search capabilities through Adaptive Transformer Search, leveraging large language models and vector embedding technology for a more comprehensive understanding of user queries. With Particular Audience, retailers can enhance their online presence, increase conversions, and drive revenue growth.

## Industries

- 🖥 Programming and Developer Software _(under Computers Electronics and Technology)_
- 🖥 Computers Electronics and Technology

## Logos & icons

- logo _(primary)_ — PNG — [download](https://cdn.brandfetch.io/idEM1jlit6/w/528/h/528/theme/dark/logo.png?c=1bxid64Mup7aczewSAYMX&t=1786345552344)

## Colors

| Name | Hex | Theme |
| --- | --- | --- |
| Black | #000000 | dark |
| Cornflower Blue | #6171f1 | light |
| Aquamarine | #64fcee | accent |

## Fonts

- Inter — asset _(google)_
- Open Sans — asset _(google)_

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_Source: <https://brandfetch.com/particularaudience.com>_
_See [/llms.txt](/llms.txt) for a full list of agent-readable pages, and [/auth.md](/auth.md) for how agents authenticate._