Amperity Launched AI Agent for Marketing Workflows

The company introduced a new tool called Pér to help marketing teams automate data-driven campaign adjustments.

Updated on Oct. 13, 2026 in Advertising

Amperity Launched AI Agent for Marketing Workflows

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Amperity has released an AI agent named Pér designed to integrate with existing customer data profiles. The system allows users to generate marketing recommendations using natural-language queries.

Why it matters

The tool aims to reduce operational handoffs between analytics and marketing teams, helping businesses shorten the time between identifying customer trends and launching campaigns.

Amperity currently supports a portfolio of more than 400 brand customers. The new AI agent is designed to function across these existing customer profiles to streamline marketing actions.

The players

Amperity

Amperity is a data software company with global offices in Seattle, New York City, London, and Melbourne.

The details

Users query the system with natural language to identify specific audience behaviors, after which the AI proposes recommended actions. Before any changes are applied to marketing software, the system requires final approval from human staff.

Amperity was founded in 2016.
The Pér AI agent was officially launched on October 13, 2026.

Market Landscape

The launch reflects an industry-wide push to integrate generative AI marketing assistants into traditional enterprise data platforms. By automating the synthesis of customer profiles, Amperity is positioning itself to compete against firms focused on real-time campaign agility.

For brands using the platform, the new agent may lead to faster campaign adjustments and improved responsiveness to consumer behavior. Customers should expect more streamlined interactions as teams gain the ability to execute strategy changes while campaigns are still active.

The takeaway

Businesses looking to improve marketing speed should focus on tools that bridge the gap between analytics and execution. Automating initial data queries allows human teams to reserve their expertise for final strategic decisions.