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Plurio Aims to Make Performance Marketers’ Lives Easy by Taking Over 90% of Daily Work

  • Writer: Karan Bhatia
    Karan Bhatia
  • 3 hours ago
  • 2 min read

Plurio, a San Francisco-based MarTech startup, led by Seva Ustinov, Kirill Kasimskiy, and the team, has announced a $3.5 million round backed by Altair, DVC, Yellow Rocks, Finom co-founder Kos Stiskin, ManyChat co-founder Mike Yan, and other funds and angels. The funding will accelerate the rollout of Plurio, the first AI agent that acts across channels as a full-fledged performance marketer.


Global advertising spend is projected to surpass $1.04 trillion in 2026, while the performance marketing software market is expected to grow from $15.2 billion in 2023 to $30.9 billion by 2032, driven by AI-powered automation.


Plurio addresses this shift by replacing fragmented marketing workflows. Instead of waiting days or weeks for key signals like trial activations or revenue, the platform helps teams act faster, critical when timing differences of just a few days can change acquisition costs by up to 30%.


Plurio uses AI agents to analyze early signals, such as creative performance, audience quality, and channel behavior, to predict outcomes before delayed metrics appear. This allows marketing teams to identify trends, detect creative fatigue, and adjust budgets earlier for better performance.


In early pilots with global EdTech and FinTech brands, the platform processed $20 million in ad spend over four months, delivering 2× sales growth and more than 20% lower customer acquisition costs.


The AI agent integrates advertising, CRM, and revenue data into a single source of truth, helping identify the drivers of growth. Plurio can operate on existing analytics systems or use its own built-in marketing data platform with attribution.


Previously known as Elly Analytics, the platform managed more than $100 million in annual ad spend and now forms part of the Plurio ecosystem.


Teams interact with Plurio through natural-language prompts to forecast outcomes, adjust budgets, or pause underperforming ads. The AI agent evaluates factors such as seasonality, audience quality, funnel performance, and revenue trends, then recommends and executes approved actions. Behind the scenes, the system runs closed-loop optimization, continuously learning from results to improve future predictions.


Seva Ustinov, CEO and co-founder of Plurio, said the company was created to solve a common challenge in consumer businesses, where teams spend most of their time navigating dashboards and stitching together data instead of focusing on growth. Plurio aims to automate those workflows and enable faster, more informed decision-making.


Kirill Kasimskiy, Chief Growth Officer and co-founder of Plurio, said marketing teams often rely on tools that either explain past performance or execute changes, but rarely connect insight with action. Plurio was designed to bridge that gap by enabling teams to detect shifts in performance and act immediately.


Kasimskiy and CEO Seva Ustinov have worked together for more than 20 years, building performance marketing products.


Marina Davidova, co-founder and managing partner at DVC, said Plurio addresses a structural gap in marketing analytics with capabilities such as cohort-aware attribution, off-site revenue tracking, and LTV forecasting for businesses with longer customer journeys. Strong ARR growth, high logo retention, and an LTV: CAC ratio nearly twice the industry benchmark signal clear product–market fit.


Davidova also noted that while many startups focus on e-commerce, Plurio targets businesses with offline sales cycles, an approach that could provide a lasting competitive advantage. She added that the team’s AI-first workflows, built using tools such as Cursor, could further strengthen the platform over time.

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