Marketing data platform connecting 500+ sources for attribution and performance analytics
Improvado automates end-to-end marketing analytics—from data extraction across 500+ platforms through transformation (dbt, ClickHouse) to dashboard visualization. The stack reveals a company in transition: heavy adoption of Claude and Cursor suggests AI-driven development is now core to product velocity, while active projects around intelligent agents and AI-powered features signal a shift from pure ETL toward agentic analytics. Engineering dominates the hiring mix, with support and marketing growing in parallel—typical of a platform moving upmarket while scaling infrastructure.
Notable leadership hires: Account Director
Improvado built an all-in-one marketing analytics platform designed to replace fragmented spreadsheet workflows. The product unifies data from 500+ marketing and sales platforms, handles normalization and transformation (dbt, ClickHouse), and surfaces revenue attribution, customer journey, and complex metrics like CAC and CLV into dashboards. Customers are marketing teams and RevOps functions at mid-market companies. The platform operates on a SaaS delivery model with a global engineering footprint across eight countries and an emerging support and account-management structure.
Python, Django, React, TypeScript, PostgreSQL, ClickHouse, RabbitMQ, AWS, and Docker for core infrastructure. Testing uses Jest, Pytest, and Playwright. Currently adopting Kubernetes, Cursor, and Claude.
San Diego, California. Engineering and product teams span eight countries including Serbia, Argentina, India, Brazil, and China.
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