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COINTURK FINANCE > Business > Cassandra.app Secures €2M to Expand AI-Powered Advertising Optimisation
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Cassandra.app Secures €2M to Expand AI-Powered Advertising Optimisation

Overview

  • Cassandra.app raised €2M to expand its AI-driven advertising optimisation platform.

  • The company replaces outdated models with AI-powered Marketing Mix Modelling techniques.

  • Funding will support product development, global expansion, and integration with Google’s Meridian.

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COINTURK FINANCE 7 months ago
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Digital advertising strategies continue to evolve as companies seek more efficient ways to allocate their budgets. AI-driven solutions are gaining traction, offering data-driven insights that improve advertising effectiveness. Milan-based Cassandra.app, a platform leveraging artificial intelligence for media mix performance and advertising ROI, has raised €2 million in seed funding to enhance its technology and expand internationally.

Contents
How Does Cassandra.app Optimise Advertising Budgets?How Will the New Funding Be Used?

Cassandra.app’s recent funding builds upon growing interest in AI-powered marketing solutions. Several companies have previously attempted similar approaches, but many relied on third-party cookies and last-click attribution models, which have become outdated due to stricter data privacy regulations. The shift to AI-driven Marketing Mix Modelling and Incrementality Testing reflects a broader industry trend toward privacy-friendly and more accurate advertising performance measurement.

How Does Cassandra.app Optimise Advertising Budgets?

Established in 2023 by Gabriele Franco and Cristian Nozzi, Cassandra.app employs machine learning to refine budget distribution and improve return on investment for advertisers. Its platform identifies inefficient resource allocation and provides data-backed recommendations for spending optimisation. By replacing traditional attribution models, the company aims to offer a more precise approach to measuring marketing success.

The platform has already integrated with Meta (NASDAQ:META) as a Marketing Mix Modelling partner, strengthening its analytical capabilities. The company reports handling over €500 million in advertising investments annually, assisting more than 60 clients, including Treedom, Verisure, Ferragamo, Urban Armor Gear, and Baltic Born.

How Will the New Funding Be Used?

The €2 million investment, led by Italian Founders Fund with support from PitchDrive, Webranking, Mana Ventures, Lorenzo Lato, and Marco di Pietro, will be allocated toward further product development and international expansion. Cassandra.app also plans to integrate Google (NASDAQ:GOOGL)’s Meridian technology within the next three months.

“Securing this funding is a major step forward for us. This will enable us to further strengthen our product and accelerate our expansion into key global markets,” said co-founder Franco. “Our goal is to empower brands with cutting-edge tools for data-driven advertising optimisation, and this investment brings us closer to that vision.”

In addition to technology improvements, the company intends to grow its team, hiring talent to support its commercial expansion and technical roadmap. With this funding, Cassandra.app seeks to position itself as a significant player in AI-driven advertising investment management.

The reliance on AI in advertising is increasing as businesses look for more efficient ways to allocate resources. Cassandra.app’s approach reflects a broader industry trend where data-driven decision-making is replacing conventional models. As privacy regulations tighten and third-party cookies phase out, companies embracing AI-based performance measurement may have a competitive advantage. The success of Cassandra.app will depend not only on its technology but also on its ability to adapt to evolving marketing landscapes.

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Disclaimer: The information contained in this article does not constitute investment advice. Investors should be aware that cryptocurrencies carry high volatility and therefore risk, and should conduct their own research.

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