Triton Digital adds AI voice cloning for programmatic podcast ads
Spreaker platform partners with ekoz.ai to deliver scalable host-read advertisements using artificial intelligence technology

Triton Digital announced on July 15, 2025, a partnership with ekoz.ai that introduces AI-powered voice cloning technology to its Spreaker podcast platform. The collaboration enables programmatic delivery of host-read advertisements across podcast inventory, combining traditional host authenticity with automated scale capabilities.
The New York-based integration addresses longstanding challenges in podcast advertising where marketers have traditionally faced a binary choice between programmatic efficiency and host-read effectiveness. Through the ekoz.ai platform, podcast hosts create voice samples called "ekos" that enable AI generation of personalized advertisements in their own voice.
The integration launched in March 2025 through private marketplace deals with select Spreaker podcasts and has already generated millions of impressions according to company data. The system operates through a three-step process where advertisers design campaigns by target audience, ekoz.ai creates customized scripts for each podcast, and host-approved advertisements are inserted dynamically across matched shows.
ekoz.ai uses its AI technology to scan host biographical information and show descriptions, creating personalized script reads for each podcast in advertising campaigns. The voice cloning technology applies the host's "eko" voiceprint to generate unique scripts that maintain authenticity while enabling programmatic scale.
"We're always looking for more partners who help us bring new opportunities to podcasters," said Sharon Taylor, Executive Vice President of Podcast and Content Delivery at Triton Digital. "By enabling scalable host-read ads that preserve the authenticity and control creators value, they're helping us unlock a new revenue stream for podcasters and deliver more value to advertisers."
The partnership specifically targets mid- and long-tail podcast inventory where traditional host-read advertisements face production constraints. Hosts maintain complete control over voice usage and advertisement approval while accessing premium campaigns without additional recording workload.
According to ekoz.ai documentation, the service operates under differentiated pricing models based on delivery method. For advertisements placed through Spreaker, ekoz.ai receives a 15% commission on gross revenue. Direct placements with advertisers carry a 25% commission rate, with an additional 10% fee if ekoz.ai manages the service.
The pricing structure reflects industry standards where programmatic efficiency commands lower commission rates compared to direct sales management. This tiered approach enables different market segments to access the technology based on their operational requirements and budget considerations.
CEO Marty Avallone of ekoz.ai emphasized the technology's focus on maintaining host control while expanding revenue opportunities. "We've built the first AI solution that allows advertisers to get host-read ads at scale, and lets podcast hosts expand their influence, without losing what makes them unique," Avallone stated. "Hosts keep full control over how their voice is used and which ads run."
The system addresses technical limitations that have historically constrained host-read advertisement scaling across multiple podcast networks. Traditional approaches required individual negotiations, varied production processes, and inconsistent measurement standards.
The partnership enters a podcast advertising market experiencing significant transformation. Recent industry analysis shows growing demand for solutions that combine host-read authenticity with programmatic efficiency, with multiple technology providers developing hybrid approaches.
Frequency's Premium Publisher Network launched in March 2025 to address similar market challenges, while Spotify expanded automated podcast buying capabilities in July 2025, providing access to 170 million monthly listeners across 12 markets. These developments indicate industry-wide momentum toward programmatic podcast advertising solutions.
The US podcast advertising market continues rapid expansion, with ekoz.ai projecting growth from $4 billion currently to over $5 billion by 2028. This growth trajectory attracts national advertisers seeking scalable solutions that maintain the effectiveness associated with host-read content.
For podcast creators, the ekoz.ai integration provides several operational advantages beyond revenue expansion. The automated system eliminates traditional host-read production requirements including script negotiation, recording sessions, and delivery coordination. This automation enables hosts to participate in larger advertising campaigns while maintaining content production focus.
The platform offers higher CPM rates compared to standard programmatic advertisements, typically delivering 3-4 times the revenue of prerecorded insertions according to company documentation. Additionally, the system enables more frequent advertisement refreshing and optimization based on listener targeting data.
Voice authenticity remains preserved through the eko technology, which creates accurate voiceprint matches that maintain host personality characteristics. Each advertisement requires host approval before delivery, ensuring content alignment with show values and audience expectations.
The integration supports various advertisement formats and enables real-time optimization based on performance metrics. Advertisers can track engagement, refresh creative content more frequently, and target specific listener demographics while maintaining the personal connection associated with host-read advertisements.
Market implications for advertising professionals
This development represents a significant shift in podcast advertising capabilities, particularly for marketing professionals managing large-scale campaigns across multiple shows. The technology potentially standardizes host-read buying processes that have traditionally required individual relationship management and custom production workflows.
Industry research shows that 72% of marketers plan to increase programmatic advertising investment in 2025, with audio and podcast advertising growing from 7% to 9% of total programmatic spending. The Triton-ekoz.ai partnership addresses this growth by providing programmatic access to previously manual advertising formats.
For brands entering podcast advertising, the integration removes traditional barriers including production complexity, scale limitations, and relationship management requirements. Marketing teams can now execute host-read campaigns across multiple networks using standard programmatic tools and measurement protocols.
The technology also addresses frequency and optimization challenges inherent in traditional host-read approaches. Advertisers can now refresh creative content more regularly, test different messaging variations, and optimize campaigns based on real-time performance data while maintaining host authenticity.
Future development
Triton Digital's integration with ekoz.ai currently supports podcasts hosted on the Spreaker platform, with potential expansion to additional hosting services under consideration. The company operates across more than 80 countries, suggesting possible international rollout of the AI voice cloning capabilities.
The partnership builds on Triton Digital's existing advertising technology infrastructure, including Webcast Metrics streaming measurement service and Podcast Metrics certification. This foundation positions the company to scale AI-powered advertising solutions across its global platform network.
ekoz.ai describes itself as "the only AI-powered podcast advertising solution dedicated to helping podcast creators expand their voice" while maintaining authenticity standards. The company's focus on both creator empowerment and advertiser efficiency suggests continued development of features supporting both constituencies.
Industry observers anticipate similar partnerships as podcast platforms seek competitive advantages in the rapidly expanding audio advertising market. The success of AI voice cloning technology in maintaining host authenticity while enabling programmatic scale could influence broader adoption across the podcasting ecosystem.
Timeline
- March 2025: Frequency launches Premium Publisher Network combining host-read authenticity with programmatic efficiency
- March 2025: Triton Digital and ekoz.ai integration launches through private marketplace deals with select Spreaker podcasts
- July 11, 2025: Spotify expands automated podcast buying to 170 million listeners across 12 markets
- July 15, 2025: Triton Digital officially announces partnership with ekoz.ai for AI-powered voice cloning in podcast advertising
- July 25, 2024: ekoz.ai fee structure becomes effective with 15% commission for DSP partner placements and 25% for direct advertiser placements
Summary
Who: Triton Digital, the global technology leader in digital audio and podcasting, partnered with New York-based AI company ekoz.ai to bring voice cloning technology to the Spreaker platform.
What: The partnership introduces AI-powered voice cloning that enables programmatic delivery of host-read podcast advertisements. Hosts create voice samples ("ekos") that allow AI generation of personalized ads in their own voice while maintaining approval control.
When: The integration launched in March 2025 through private marketplace deals, with the official announcement made on July 15, 2025.
Where: The technology operates through Triton Digital's Spreaker platform, part of the iHeartMedia family, with global potential across Triton's 80+ country operations.
Why: The solution addresses the traditional choice between programmatic efficiency and host-read effectiveness in podcast advertising, enabling marketers to achieve scale while maintaining the authenticity and higher engagement rates associated with host-read content.
Key terminology explained
Programmatic advertising: An automated system for buying and selling digital advertising inventory using technology platforms and real-time bidding mechanisms. Unlike traditional advertising purchases that require manual negotiations and insertion orders, programmatic advertising uses algorithms and data to execute transactions within milliseconds. The system enables advertisers to target specific audiences across multiple channels while optimizing campaign performance through continuous data analysis. This approach has revolutionized digital marketing by providing scale, efficiency, and precision targeting capabilities that manual processes cannot match.
Host-read advertisements: Audio advertisements where podcast hosts personally record promotional messages in their own voice and style, typically incorporating the product or service into their show's natural conversation flow. These advertisements differ significantly from pre-recorded commercial insertions because they leverage the trust relationship between hosts and their audiences. Research consistently shows host-read advertisements achieve higher engagement rates and conversion metrics compared to standard programmatic insertions, though they traditionally require significant manual production and coordination efforts.
Voice cloning technology: Advanced artificial intelligence systems that analyze vocal characteristics, speech patterns, and linguistic nuances to create synthetic speech that closely mimics a specific person's voice. The technology requires sample audio recordings to build voiceprint models that can then generate new speech content while maintaining the original speaker's tonal qualities, pacing, and delivery style. Modern voice cloning applications include content creation, accessibility tools, and advertising applications where authentic-sounding speech is essential for audience connection.
Private marketplace deals: Exclusive programmatic advertising arrangements where publishers offer premium inventory to selected advertisers or demand-side platforms before making it available through open auctions. These deals typically involve guaranteed pricing, preferred access to high-quality placements, and enhanced targeting capabilities. Private marketplaces enable publishers to maintain greater control over their advertising inventory while providing advertisers with access to premium content environments and audiences that may not be available through standard programmatic channels.
CPM (Cost Per Thousand Impressions): A fundamental advertising pricing model that measures the cost of reaching 1,000 audience members or advertisement views. CPM serves as the standard metric for comparing advertising efficiency across different channels, platforms, and campaign types. Higher CPM rates typically indicate premium inventory, highly targeted audiences, or superior content environments. In podcast advertising, host-read advertisements often command CPM rates three to four times higher than programmatic insertions due to their enhanced engagement and authenticity.
Dynamic ad insertion: Technology that automatically places advertisements into podcast content in real-time based on listener characteristics, geographic location, or timing of consumption. This system differs from traditional broadcast advertising because each listener may receive different advertisements despite consuming identical content. Dynamic insertion enables publishers to monetize archived content continuously while providing advertisers with targeting capabilities and measurement precision similar to digital display advertising.
Demand-side platforms (DSPs): Technology systems that enable advertisers and agencies to purchase digital advertising inventory programmatically across multiple publishers and ad exchanges through a single interface. DSPs provide campaign management tools, audience targeting capabilities, real-time optimization features, and performance analytics. These platforms aggregate inventory from numerous sources, enabling advertisers to execute large-scale campaigns efficiently while maintaining control over targeting parameters, budget allocation, and creative optimization.
Real-time bidding: An automated auction system where advertising inventory is bought and sold through instantaneous bidding processes that occur within the milliseconds between when a user loads a webpage or begins consuming content and when the advertisement appears. Each advertising opportunity triggers an auction where multiple advertisers can bid based on their targeting criteria and campaign objectives. The highest bidder wins the placement, and the advertisement is delivered immediately, enabling precise audience targeting and efficient budget utilization.
Voiceprint technology: Sophisticated audio analysis systems that create unique digital signatures based on individual vocal characteristics including pitch, tone, speech rhythm, pronunciation patterns, and acoustic properties. These biometric identifiers enable voice recognition, authentication, and synthesis applications. In advertising contexts, voiceprint technology enables AI systems to replicate specific speaker characteristics while generating new content, maintaining authenticity and audience recognition that traditional text-to-speech systems cannot achieve.
Supply-side platforms: Technology infrastructure that helps publishers, podcast creators, and content owners manage and optimize their advertising inventory across multiple demand sources. These platforms automate the process of making advertising space available to potential buyers while maximizing revenue through auction optimization, audience data enhancement, and inventory management tools. Supply-side platforms connect with numerous demand-side platforms and ad exchanges, ensuring publishers can access the broadest possible market for their advertising inventory.