Nexxen International (NEXN) investor relations material

Strategic vision and platform evolution

• Focus on an end-to-end unified ad platform, integrating DSP, SSP, and data solutions to address industry fragmentation and drive better outcomes for marketers.

• Shifted strategy from targeting smaller customers to prioritizing large enterprise clients, holding companies, and direct brands, resulting in higher retention and recurring revenue.

• Expansion into mobile in-app and CTV, including exclusive Smart TV Home Screen monetization and partnerships, positions for durable, high-margin growth.

• Agentic AI capabilities and open interoperability enable automated, data-driven campaign management and seamless integration with client workflows.

• Differentiated assets, exclusive partnerships, and compounding investments in data onboarding, identity resolution, and AI-resilient media reinforce long-term competitive advantages and customer value.

Financial performance and guidance

• 2026 guidance raised: Contribution ex-TAC to grow 11% ($385–$400M), programmatic revenue up 13%, and adjusted EBITDA up 10% with a 32% margin.

• CTV revenue up 12% year-over-year in Q1 2026, projected to rise over 20% in Q2; mobile in-app revenue up 18% in Q1, over 15% in Q2.

• Contribution ex-TAC per active customer grew at a 31% CAGR from 2022–2025, with a 92% retention rate in 2025, expected to improve in 2026.

• Long-term targets reaffirmed: CTV to reach ~40% of revenue, adjusted EBITDA margin to stabilize at 40%, and free cash flow conversion at 65%.

• Ongoing investments in AI, data, exclusive inventory partnerships, and targeted strategic investments (<$100M) in mobile, CTV, and data capabilities planned.

Product innovation, AI, and platform development

• Launched a redesigned, AI-native DSP interface, embedding nexAI agents for performance reporting, troubleshooting, QA, audience reach, and creative automation.

• Interoperability protocols (MCP, Agent-to-Agent) enable direct connectivity to client AI workflows, supporting agentic trading and campaign lifecycle automation.

• AI-driven automation is reducing manual work, error rates, and campaign setup time, leading to faster client onboarding and higher operational efficiency.

• New and in-development AI agents handle media planning, audience creation, optimization, and advanced creative automation.

• Commitment to transparency, data responsibility, and human oversight in AI adoption to build client trust and drive growth.