Inside the Decision Loop: How Plurio Is Making Paid Media Autonomous

Plurio is a closed-loop AI system built for enterprise performance marketing teams — one that doesn’t advise on campaigns so much as run them. Founded in 2023 by Seva Ustinov and Kirill Kasimsky in San Francisco, it manages over $500M in annual ad budgets for brands spending upwards of $500K a month on paid media.

“Acting on a campaign just three days earlier or later can shift customer acquisition cost by as much as 30%.”

The problem Plurio tackles is structural. Performance marketing teams spend the majority of their time on data preparation — clicking through dashboards, downloading spreadsheets, manually crunching numbers — before a single decision gets made. By the time they act, the window has often already moved. Plurio compresses that gap entirely, replacing routine analytical work with a conversational AI agent that responds to plain managerial queries. Managers reclaim 5–10 hours per recurring analysis. CAC drops by more than 20%. Campaign efficiency improves 10–25% across deployments.

What separates Plurio from point solutions and dashboard-layer AI tools is accountability. Rather than sitting outside the process and surfacing recommendations, Plurio operates inside the decision loop — learning from thousands of account-specific historical decisions, integrating with existing attribution stacks or managing every data connection itself, and creating a unified view across ads, CRM, and revenue. It doesn’t generalize from benchmarks; it learns what works in each individual account.

In a discipline long defined by reactive workflows, Plurio makes a direct case: AI agents are ready to own performance marketing operations, not just support them — and the time that frees up belongs back with strategy.

Visit: https://www.plurio.ai/