Nexxen International (NEXN) Citi’s 2026 Global TMT Conference summary
Event summary combining transcript, slides, and related documents.
Citi’s 2026 Global TMT Conference summary
8 Sep, 2026Platform integration and enterprise focus
Years of asset integration led to a unified platform with both SSP and DSP, enabling full-funnel control and efficiency for partners and clients.
Enterprise clients increasingly value the end-to-end model, with onboarding often starting via DSP and expanding to full platform use over 3–9 months.
Clients using the full stack see significant cost savings and improved ROI, as illustrated by a 62% cost reduction and 2.5x ROAS increase for a major auto brand.
Hybrid service models help transition clients from managed to self-serve, supporting broader adoption of the platform.
Enterprise spend grew 25%, with over 750 advertisers now activated through enterprise customers.
CTV and data-driven growth
CTV campaigns now account for 40% of net revenues, driven by enterprise adoption and exclusive ACR data partnerships.
Exclusive ACR data from VIDAA, covering 50 million screens, provides granular cross-platform audience insights.
North American exclusivity on VIDAA inventory and new on-screen ad formats are expected to drive incremental revenue from Q3 2026 onward.
Programmatic access to home screen inventory is a first-mover advantage, with major DSPs and OEMs already onboarded.
Cross-channel capabilities between CTV and mobile in-app enable advanced retargeting and audience building.
AI and agentic solutions
AI has halved enterprise client onboarding time, supporting rapid growth in enterprise users.
Six to ten AI agents automate onboarding, planning, activation, optimization, and measurement across the full stack.
Agentic solutions allow clients to transact and optimize campaigns without increasing staff, enhancing efficiency.
Full-stack ownership enables AI to deliver deeper insights and optimization than standalone DSP or SSP agents.
Adoption is accelerating, with new clients quickly embracing AI-driven workflows.
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