Nexxen’s Next.ai Cuts Toyota’s Cost per Vehicle 62%

Nexxen International Ltd. (NEXN) said on its August 12, 2026 second-quarter earnings call that Next.ai is being used in enterprise customers’ advertising workflows. In a Toyota case study, cost per vehicle sold fell 62%, although this customer outcome cannot yet be attributed directly to Nexxen’s revenue growth.[1]

Nexxen operates an advertising technology platform that connects advertisers and media agencies with media inventory. It primarily earns revenue from customers’ advertising transactions on the platform and related services. Next.ai is an AI assistant embedded in Nexxen DSP and its Discovery data platform: the DSP helps customers buy advertising, Discovery supports audience research and first-party data processing, and the assistant connects insight generation, audience segmentation, campaign activation, reporting, and optimization recommendations with daily workflows. It serves advertisers and client-service teams within the company’s core advertising transaction business.

From development concept to limited production

The application progressed from a development concept to limited production. On March 6, 2024, the company was still developing ways to use AI and machine learning to improve audience discovery and activation; it did not disclose a product launch or quantified results.[4] By May 14, 2025, the capability had been named nexAI, and the first assistant natively integrated into the DSP was available to dozens of clients, moving the application from a development concept into limited production use.[3] On November 13, 2025, the disclosure shifted further toward measurable operating results. By August 12, 2026, the assistant, then styled Next.ai, covered a more complete workflow from first-party data onboarding to campaign optimization, continuing the same advertiser workflow.

Reporting efficiency and faster activation

Operating efficiency was the first quantified source of value. On November 13, 2025, Nexxen said the NextAI DSP assistant helped users obtain and act on real-time insights faster, with efficiency gains of up to 97% in some reporting processes.[2] That figure applies to some reporting processes, not overall productivity across all customers. The company did not disclose the sample size, baseline, or measurement period.

By the second quarter of 2026, advertisers could move audience data from upload to activation within 24 hours.[1] This indicates that the wait between data onboarding and campaign activation had shortened, but Nexxen did not provide a previous time baseline, so the improvement cannot be calculated from this disclosure.

Toyota’s advertising results

The Toyota example extends the workflow evidence to customer campaign economics. Toyota initially joined as a DSP customer and later adopted Nexxen’s data capabilities, Discovery, and media supply. The combined offering generated approximately 2.7 times return on ad spend and reduced cost per vehicle sold by 62%.[1] The result covers several Nexxen capabilities, and the disclosure does not provide a measurement period, cost baseline, or Next.ai’s standalone contribution. It therefore cannot be generalized to other advertisers, and the full improvement cannot be credited to AI.

Shorter research, reporting, and activation processes may reduce the friction involved in using several products. If campaign results improve as well, customers may increase spending on the platform, which could eventually flow through to Nexxen’s advertising platform revenue. The company said enterprise customer spending rose more than 25% year over year during the same period, but management attributed the growth to a combination of increased adoption and innovation rather than isolating an increment from Next.ai.[1] The spending growth is therefore consistent with the assistant’s operating direction, but it is not standalone evidence of the assistant’s revenue contribution.

Next.ai has progressed from a development plan for audience discovery algorithms to a limited-production application that can shorten some workflows and demonstrate customer campaign results. The evidence now supports faster workflows and improved campaign economics for an individual customer. What remains unproven is whether comparable customers using and not using Next.ai show persistent differences in retention, platform spending, or revenue—and how much of any difference the assistant explains.

Application assessment

• Next.ai Advertiser Workflow Assistant | Business position: Core business | Application stage: Limited production | Scope: Multiple businesses or regions | Value type: Revenue growth

Sources

[1] Drillr · Nexxen International Ltd. (NEXN) · August 12, 2026 · Earnings call

Original: For example, after initially onboarding as a DSP customer, Toyota expanded to leverage our data capabilities, Nexon discovery, and our media supply generating approximately 2.7 times the return on ad spend and a 62% reduction in cost per vehicle sold.

[2] Drillr · Nexxen International Ltd. (NEXN) · November 13, 2025 · Earnings call

Original: The NextAI DSP assistant is helping users gain and act on powerful real-time insights faster, enhancing results and usability with customer satisfaction scores often above 90% and some reporting efficiency gains of up to 97%.

[3] Drillr · Nexxen International Ltd. (NEXN) · May 14, 2025 · Earnings call

Original: Dozens of clients have already gained access, reporting meaningful productivity gains, while others are excited about nexAI potential to automate data and insight gathering and streamline reporting and optimization.

[4] Drillr · Nexxen International Ltd. (NEXN) · March 6, 2024 · Earnings call

Original: For example, we've been developing solutions leveraging AI and machine learning to speed up development time, improve our algorithms and enhance our audience discovery and activation tools.