Voyantis offers Marketing and Growth teams to onboard game-changing optimization capabilities based on predictive LTV modeling, engineering free.

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Marketing

Voyantis

Voyantis' headquarters in Tel Aviv, Israel

This department focuses on analyzing and interpreting data to provide insights that drive decision-making and improve operations.

Data Analytics

The Product and Engineering team at Voyantis is responsible for designing, developing, and optimizing innovative predictive LTV modeling solutions that empower Marketing and Growth teams. By leveraging their expertise in software engineering and machine learning, the team collaborates to create high-impact products that drive client success and facilitate seamless onboarding of advanced optimization capabilities.

Product and Engineering

This department manages and nurtures relationships with clients to ensure satisfaction and business growth.

Client Relations

The Leadership Team at Voyantis drives strategic vision and operational excellence, guiding the company's mission to deliver innovative marketing and growth solutions through advanced predictive LTV modeling. Comprising key executives such as the Co-founders and the Chief Product Officer, this team is responsible for aligning product development with market needs, fostering collaboration across departments, and ensuring sustainable growth and scalability within the organization.

Leadership Team

The Data and Analytics team at Voyantis harnesses advanced statistical methods and machine learning techniques to analyze customer data and derive actionable insights. They focus on predictive LTV modeling to enhance marketing strategies, optimize growth initiatives, and drive data-informed decision-making across the organization, ensuring teams are equipped with the tools to maximize performance and ROI.

Data and Analytics

This department focuses on developing and maintaining data platforms and backend systems to support data processing and analytics needs.

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Other teams

Product and Engineering

Client Relations

Leadership Team

Data and Analytics

Data Engineering