Performance marketing company Consumer Genius has announced that its Co-Founder, Jay Modi, has been recognized in the Visionaries Network Top Business Leaders Awards 2026. The recognition highlights the company's expansion across multiple international markets and reflects the growing importance of AI-powered lead generation platforms in helping enterprises connect consumers with relevant service providers through performance-based marketing models.

Consumer Genius Co-Founder Jay Modi has been named among the recipients of the Visionaries Network Top Business Leaders Awards 2026, marking a milestone for the company's continued growth in AI-powered lead generation and performance marketing. The recognition comes as enterprises increasingly invest in data-driven customer acquisition strategies that prioritize measurable outcomes over traditional advertising models.

Founded in Canada, Consumer Genius was established to address a common challenge in digital commerce: reducing the gap between consumers seeking products or services and businesses capable of meeting those needs. Since its launch, the company has expanded its operations into the United States, the United Kingdom, and Australia, supporting performance marketing campaigns across multiple regulated and service-oriented industries.

Today, Consumer Genius reports facilitating more than 60,000 consumer connections every month across sectors including financial services, legal claims, solar energy, home services, and insurance. The company's expansion reflects a broader industry shift toward AI-enabled lead generation platforms that use automation, data intelligence, and performance measurement to improve customer acquisition efficiency.

Jay Modi attributed the recognition to the broader Consumer Genius team, emphasizing that scaling operations across several countries and industry sectors requires continuous operational execution rather than individual achievement.

At the center of Consumer Genius' platform is an AI-powered lead generation infrastructure designed to connect consumers with businesses based on intent and relevance. The platform supports organizations operating in verticals such as auto lending, personal loans, life insurance, solar energy, housing repair, legal claims, and home improvement services.

Unlike conventional advertising models that charge for impressions or clicks, Consumer Genius operates on a performance-based lead generation model, where business partners pay only for qualified consumer inquiries. This approach aligns marketing investment with measurable outcomes, making it increasingly attractive to organizations seeking greater return on advertising spend and higher-quality customer acquisition.

The announcement reflects broader trends shaping the marketing technology landscape. AI-powered customer acquisition platforms are becoming a core component of enterprise MarTech stacks as organizations seek to automate lead qualification, improve campaign efficiency, and optimize marketing budgets using real-time data.

Research from Gartner indicates that AI continues to reshape marketing operations, with organizations increasingly embedding artificial intelligence across customer engagement and campaign optimization initiatives. Meanwhile, McKinsey & Company has reported that companies effectively deploying AI in marketing and sales can achieve meaningful improvements in customer acquisition efficiency and revenue growth through enhanced personalization and predictive decision-making.

The recognition also underscores the growing role of performance marketing within enterprise digital strategies. As privacy regulations evolve and third-party cookies continue to decline, businesses are placing greater emphasis on first-party data, qualified leads, and measurable marketing outcomes. Platforms capable of combining AI-driven audience matching with transparent performance metrics are becoming increasingly valuable for organizations operating in competitive industries.

Consumer Genius operates within a market that includes enterprise marketing technology providers, lead generation platforms, customer acquisition specialists, and digital advertising companies. While large ecosystems such as Google, Microsoft, Salesforce, and Adobe continue expanding AI capabilities across advertising and customer engagement platforms, specialized providers are differentiating themselves by focusing on vertical expertise and performance-based commercial models.

For enterprise marketing teams, platforms like Consumer Genius illustrate how AI can be applied beyond campaign automation to improve lead quality and partner accountability. Instead of maximizing traffic volume alone, performance-driven models increasingly emphasize consumer intent, conversion probability, and long-term customer value.

Looking ahead, the company's leadership suggests its international expansion remains in its early stages, with additional opportunities emerging as organizations continue investing in AI-enabled customer acquisition infrastructure. As enterprises seek more efficient ways to connect with high-intent consumers, AI-powered lead generation is expected to remain a strategic area of innovation across the broader MarTech ecosystem.

Market Landscape

AI-powered lead generation has become one of the fastest-growing segments of the MarTech industry as organizations demand measurable customer acquisition outcomes. Enterprise marketing teams are increasingly replacing volume-based advertising with performance marketing strategies supported by artificial intelligence, predictive analytics, and first-party data. Companies like Consumer Genius reflect this shift by combining AI-driven lead qualification with pay-for-performance business models that prioritize accountability, conversion quality, and long-term partner value.

Top Insights

• Consumer Genius expanded from Canada into the U.S., UK, and Australia, highlighting growing international demand for AI-powered performance marketing and lead generation infrastructure.
• Jay Modi's recognition reflects increasing industry recognition of leaders advancing AI-enabled customer acquisition and measurable digital marketing strategies.
• The company's performance-based pricing model aligns marketing investment with qualified consumer inquiries, benefiting enterprises focused on ROI and lead quality.
• AI-powered lead generation platforms continue gaining importance as organizations adapt to privacy changes, first-party data strategies, and declining reliance on third-party cookies.
• Enterprise marketers are increasingly adopting AI-driven customer acquisition technologies that improve campaign efficiency, lead qualification, and long-term partner accountability.

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AI voice platform WellSaid has introduced a new pricing model that shifts billing from AI-generated voice iterations to completed downloadable audio. The move addresses a longstanding challenge in generative AI content creation, where businesses often pay for every voice generation attempt regardless of whether the output is ultimately used. The new approach aims to support enterprise teams that rely on iterative workflows for professional voice production.

WellSaid has unveiled a revised pricing model for its AI voiceover platform that changes how organizations are charged for synthetic voice generation. Instead of billing customers for every generated audio clip, the company will only count completed, downloaded voiceovers toward subscription limits, allowing unlimited voice generation during the creative process.

The announcement reflects an evolving trend in enterprise AI software, where vendors are increasingly aligning pricing with measurable business outcomes rather than raw AI usage. For marketing, training, and media production teams, the model removes a common friction point by enabling experimentation without increasing operational costs.

AI voiceover platforms have become an important component of modern marketing technology stacks, supporting everything from product demonstrations and corporate training to advertising, customer support, e-learning, and multilingual content production. Yet many providers continue to charge for every rendered audio generation, regardless of whether that version is approved for final use.

WellSaid argues that this pricing structure discourages experimentation, forcing creative teams to balance quality against usage costs. Under its new model, organizations can generate multiple versions of the same script without affecting plan limits until they download the finalized audio.

According to Benjamin Dorr, CEO of WellSaid, professional voice production is inherently iterative, making creative flexibility essential for enterprise content creation. Rather than treating every AI generation as a billable event, the company has structured pricing around completed deliverables.

The pricing update also emphasizes licensing transparency, another area receiving increased scrutiny as generative AI adoption expands across enterprise environments. WellSaid said every voice available on its platform is sourced through consent-based agreements with professional voice actors and includes royalty arrangements that define commercial usage rights.

This distinction addresses one of the industry's most significant concerns: the provenance of AI-generated voices. As organizations adopt synthetic media technologies, legal clarity around intellectual property, consent, and commercial licensing has become a critical evaluation criterion alongside audio quality and model performance.

AI voiceover technology converts written text into natural-sounding speech using artificial intelligence. It enables businesses to create professional narration without traditional recording sessions, accelerating content production while maintaining consistent voice quality across channels.

For enterprise organizations, AI voice platforms are increasingly used to scale multilingual marketing campaigns, customer education, product walkthroughs, compliance training, and internal communications. The technology reduces production timelines while enabling rapid updates as messaging evolves.

The announcement comes as enterprise investment in generative AI continues to accelerate. McKinsey & Company has reported that organizations are expanding AI deployment across marketing, customer experience, and content operations as automation delivers measurable productivity improvements. Meanwhile, Gartner forecasts continued enterprise investment in generative AI technologies as businesses seek greater efficiency in knowledge work, creative production, and digital experiences.

Within the competitive landscape, AI voice providers are competing across multiple dimensions including voice realism, multilingual capabilities, governance, licensing transparency, workflow integrations, and pricing flexibility. Major technology companies including Microsoft, Google, and Amazon continue expanding speech AI capabilities through their cloud AI services, while specialized providers such as WellSaid differentiate themselves through enterprise-focused workflows, commercial licensing models, and creator-oriented production tools.

For marketing leaders, the pricing change signals a broader shift toward value-based AI software monetization. Instead of charging for computational activity, vendors are increasingly pricing around business outcomes that customers ultimately consume. Similar trends are emerging across AI image generation, coding assistants, and enterprise automation platforms, where subscription models increasingly prioritize productivity over usage metrics.

As AI-generated media becomes a standard component of enterprise marketing operations, pricing transparency and licensing clarity are likely to become as important as model quality. Organizations evaluating AI voice solutions will increasingly assess not only voice realism and workflow integration, but also how vendors structure commercial rights, content ownership, and operational costs.

WellSaid's latest pricing announcement reflects these broader market dynamics, highlighting how AI software providers are adapting business models to better support enterprise creative teams that depend on iterative production rather than one-time generation.

Market Landscape

The AI voice generation market is expanding rapidly as enterprises integrate synthetic speech into marketing automation, customer engagement, e-learning, digital advertising, and content localization. As adoption grows, businesses are placing greater emphasis on transparent licensing, predictable pricing, governance, and workflow efficiency rather than simply evaluating voice quality. Vendors that combine enterprise-ready compliance with flexible commercial models are increasingly positioned to compete in the evolving AI content creation ecosystem.

Top Insights

• WellSaid's new pricing model bills only finalized downloadable audio, allowing unlimited AI voice generation during creative development and reducing cost barriers for enterprise production teams.
• The company reinforces commercial transparency by licensing every AI voice through consent-based agreements with professional voice actors and predefined royalty arrangements.
• The announcement reflects a broader enterprise software trend toward pricing based on delivered business value instead of AI processing or generation volume.
• Marketing, training, and customer experience teams can iterate voice content more freely, improving production quality without increasing AI usage costs.
• Licensing transparency and commercial rights are becoming key differentiators as enterprises evaluate AI voice platforms for large-scale content creation.

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Ellucian has received the Higher Education Innovation Award at the inaugural EdTech Innovation Hub (ETIH) Innovation Awards 2026 for its Ellucian Student platform. The recognition highlights growing investment in AI-native higher education technology as colleges and universities modernize student lifecycle management, institutional operations, and data-driven decision-making through integrated SaaS platforms.

Higher education technology provider Ellucian has been recognized with the Higher Education Innovation Award in the 2026 EdTech Innovation Hub (ETIH) Innovation Awards, with its Ellucian Student platform receiving recognition for advancing AI-powered digital transformation across colleges and universities.

The award comes as higher education institutions face mounting pressure to improve student outcomes, modernize administrative systems, and manage increasingly complex operations while operating under tighter financial and workforce constraints. AI-enabled platforms are becoming central to these modernization efforts, helping institutions automate processes, unify data, and improve operational efficiency.

Ellucian Student is designed to manage the complete student lifecycle, from enrollment and academic administration to graduation and institutional services. The platform operates alongside Ellucian Human Capital Management (HCM) and Finance as part of the company's AI-native technology ecosystem, providing universities with an integrated environment for managing academic, financial, workforce, and administrative operations.

The EdTech Innovation Hub Innovation Awards, launched in 2026, recognize education technology providers developing solutions that improve institutional performance while enhancing experiences for students, faculty, and administrative staff.

According to Mike Wulff, Chief Product and Technology Officer at Ellucian, the recognition reflects the growing importance of embedding artificial intelligence into higher education workflows rather than treating AI as a standalone capability. The company's development strategy has focused on combining intelligent automation with institutional expertise to address operational challenges unique to colleges and universities.

At the core of the platform is an AI-enabled architecture built on the Ellucian Platform, which leverages higher education data to connect academic, administrative, workforce, and financial systems. Rather than relying on disconnected applications, institutions can manage multiple operational functions through a unified software environment.

Ellucian Student is an AI-native student information platform that helps higher education institutions manage admissions, enrollment, academics, finance, workforce operations, and student services through a single integrated system. It enables colleges and universities to automate administrative workflows, centralize institutional data, and improve student engagement throughout the education lifecycle.

Embedded AI capabilities support tasks such as workflow automation, reporting, analytics, operational planning, and institutional decision-making. By reducing manual administrative processes, the platform aims to help universities respond more quickly to changing enrollment patterns, student expectations, and regulatory requirements.

The recognition reflects broader trends across the education technology market, where AI adoption is rapidly accelerating. According to Gartner, artificial intelligence is becoming a strategic priority across education and enterprise software as organizations seek greater operational efficiency and improved decision-making. IDC has also reported increasing investment in AI-powered cloud platforms as institutions modernize legacy systems and expand digital services.

Cloud-based SaaS architecture continues to play a critical role in higher education modernization. Rather than maintaining fragmented on-premises infrastructure, institutions are increasingly migrating to integrated cloud platforms capable of delivering continuous updates, stronger security, and scalable analytics.

The competitive landscape includes education technology providers alongside enterprise software vendors such as Microsoft, Google, Salesforce, and Oracle, all of which continue expanding AI capabilities across cloud productivity, analytics, and institutional management solutions. Specialized higher education providers like Ellucian differentiate themselves through domain-specific expertise, education-focused data models, and workflows designed specifically for academic institutions.

For university leaders, AI-native platforms offer benefits beyond operational efficiency. Integrated data environments can improve collaboration across admissions, academic affairs, finance, and student services while providing institutional leadership with more comprehensive insights for planning and resource allocation.

The award also underscores the increasing importance of connected student experiences. As higher education institutions compete for enrollment and student retention, digital platforms capable of delivering personalized services, streamlined administration, and data-informed support are becoming key components of institutional strategy.

Looking ahead, AI is expected to play an even larger role in higher education technology, supporting predictive analytics, student success initiatives, workforce planning, and institutional governance. Recognition of platforms such as Ellucian Student illustrates how AI is moving beyond experimental applications to become foundational infrastructure for modern higher education institutions.

Market Landscape

The higher education technology market is undergoing rapid digital transformation as universities replace legacy systems with AI-powered SaaS platforms. Institutions increasingly seek unified solutions that integrate student information systems, finance, human resources, analytics, and workflow automation. As enrollment patterns evolve and operational complexity grows, AI-native platforms are becoming essential for improving institutional efficiency, student engagement, and data-driven decision-making.

Top Insights

• Ellucian Student earned the 2026 Higher Education Innovation Award for delivering an AI-native platform that modernizes student lifecycle management and institutional operations.
• The platform integrates student information, finance, and human capital management, helping universities streamline workflows through intelligent automation and unified institutional data.
• Embedded AI supports administrative efficiency, reporting, analytics, and operational planning, enabling institutions to make faster and more informed strategic decisions.
• Growing investment in AI-powered SaaS platforms reflects the higher education sector's shift toward cloud-based digital transformation and connected campus experiences.
• Universities adopting integrated education technology platforms are better positioned to improve student success while managing increasingly complex academic and operational requirements.

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DigiKey and Machinechat have introduced a new line of rapid engineering kits designed to simplify the development of edge AI and Industrial Internet of Things (IIoT) applications. Combining pre-validated hardware with Machinechat's JEDI software platform, the kits aim to reduce integration complexity and accelerate prototype development for engineers, educators, OEMs, and enterprise innovation teams. The companies will also host a webinar on July 28 exploring how connected intelligence is reshaping edge computing and AI-powered automation.

Global electronics distributor DigiKey and IoT software provider Machinechat have partnered to introduce a series of Rapid Engineering Kits that integrate development hardware with Machinechat's JEDI (Just Enough Data Intelligence) software. The initiative is designed to help engineers accelerate the deployment of edge AI, Industrial IoT (IIoT), and connected intelligence applications by minimizing hardware and software integration challenges.

The announcement reflects a broader trend across enterprise technology, where organizations are seeking faster paths from prototype development to production-ready intelligent systems. As edge computing adoption grows, development teams increasingly require integrated hardware and software environments that reduce implementation time while supporting scalable AI-driven applications.

Traditionally, engineers developing IoT and edge AI solutions spend considerable time configuring development boards, integrating sensors, establishing connectivity, deploying software frameworks, and building dashboards before application development can begin. These repetitive tasks often delay innovation and increase project costs.

The new Rapid Engineering Kits seek to eliminate much of this overhead by packaging tested hardware configurations with enterprise-ready software. Available exclusively through DigiKey, the kits are designed to enable users to move from setup to functional deployment within minutes while providing flexibility to expand projects using additional sensors and supported hardware components.

According to DigiKey, the solution offers more than bundled hardware. Each kit combines development boards, connectivity modules, sensors, educational resources, software licensing, and implementation guidance into a unified engineering toolkit that allows developers to focus on solving domain-specific problems rather than assembling supporting infrastructure.

At the core of each kit is Machinechat JEDI One, a connected intelligence software platform that enables real-time data collection, visualization, storage, analytics, and automated alerts. The software includes a lifetime license with every kit, providing developers with integrated monitoring capabilities without requiring separate software procurement.

Rapid Engineering Kits combine hardware development platforms, sensors, connectivity modules, and edge intelligence software into a single deployment package. They enable engineers to rapidly prototype, monitor, and scale IoT and edge AI applications while reducing system integration effort.

The initial release features the Arduino UNO Q development board paired with an Adafruit BME280 environmental sensor, enabling immediate monitoring of environmental conditions including temperature, humidity, and atmospheric pressure. DigiKey and Machinechat indicated that additional kits supporting other hardware ecosystems are planned to expand development options across multiple industrial and commercial use cases.

Alongside the product launch, the companies announced a July 28 webinar focused on the evolution of connected intelligence and practical edge AI implementation. The session will feature Machinechat founder and chief architect Sanjeev Datla alongside DigiKey technical marketing manager Josh Mickolio, discussing topics including Linux-based edge computing, real-time physical control systems, deployment optimization, and the transition from conventional IoT architectures to intelligent connected systems.

The initiative reflects broader changes occurring across industrial automation and enterprise AI. Rather than treating IoT devices primarily as data collection endpoints, organizations are increasingly embedding intelligence directly at the edge, enabling faster decision-making, lower latency, and reduced cloud dependency.

According to IDC, worldwide spending on edge computing continues to grow as enterprises deploy AI closer to operational environments to improve efficiency, automation, and real-time responsiveness. Gartner has similarly identified edge AI as a strategic technology area supporting autonomous operations, industrial automation, and intelligent enterprise infrastructure.

The competitive landscape includes cloud providers such as Microsoft, Amazon, and Google, which continue expanding edge AI services through their cloud ecosystems. Meanwhile, specialized vendors are differentiating themselves by delivering integrated development platforms that simplify deployment and reduce engineering complexity.

For enterprise engineering teams, the Rapid Engineering Kits demonstrate an emerging approach to AI development where pre-integrated software and validated hardware replace fragmented development workflows. This model can reduce prototyping cycles, improve developer productivity, and accelerate commercialization of connected products.

As demand for intelligent industrial systems continues to grow, integrated edge AI development environments are expected to play an increasingly important role in manufacturing, smart infrastructure, predictive maintenance, environmental monitoring, robotics, and industrial automation. DigiKey and Machinechat's collaboration reflects how ecosystem partnerships are evolving to help organizations deploy connected intelligence faster and with fewer implementation barriers.

Market Landscape

The edge AI and Industrial IoT market is shifting from isolated sensor networks toward intelligent connected systems capable of processing data locally and making autonomous decisions. Enterprises are increasingly adopting integrated hardware-software development platforms that reduce deployment complexity while supporting AI-powered automation, predictive analytics, and real-time operational intelligence. As edge computing expands, pre-validated engineering ecosystems are becoming an important catalyst for accelerating enterprise innovation.

Top Insights

• DigiKey and Machinechat introduced Rapid Engineering Kits that combine validated hardware and AI software to accelerate IoT and edge intelligence development.
• Each kit includes Machinechat JEDI One software with lifetime licensing, enabling real-time monitoring, dashboards, analytics, and automated alerts from initial deployment.
• The integrated development model reduces engineering effort by eliminating repetitive hardware configuration and software integration tasks common in edge AI projects.
• The first engineering kit combines Arduino UNO Q with an environmental sensor, supporting rapid prototyping for industrial monitoring and intelligent automation applications.
• Growing enterprise investment in edge AI is driving demand for turnkey development platforms that shorten innovation cycles and simplify connected system deployment.

Get in touch with our MarTech Experts

Healthcare advertising platform PulsePoint has announced the first agency deployment of HCP2DTC Influence™, a marketing solution designed to connect healthcare professional (HCP) insights with direct-to-consumer (DTC) advertising strategies. The inaugural implementation, led by CMI Media Group for an oncology brand, highlights a growing shift toward AI-powered, data-driven healthcare marketing that aligns physician engagement with patient outreach across programmatic advertising channels.

Healthcare marketing platform PulsePoint has introduced the first agency activation of HCP2DTC Influence™, partnering with CMI Media Group to bring physician intelligence into consumer-focused healthcare advertising. The deployment marks an important development in pharmaceutical marketing, where organizations increasingly seek integrated strategies that connect healthcare provider engagement with patient activation across digital channels.

Traditionally, pharmaceutical companies have managed healthcare professional (HCP) and direct-to-consumer (DTC) campaigns as separate initiatives. Physician targeting relies on clinical insights, prescribing behavior, and professional engagement, while consumer campaigns focus on patient awareness and education. This separation has often limited opportunities to coordinate messaging and optimize campaign performance across the healthcare journey.

PulsePoint's HCP2DTC Influence™ platform aims to address this disconnect by enabling pharmaceutical brands to extend insights derived from physician engagement strategies into consumer marketing programs. The result is a unified framework that links HCP intelligence with programmatic DTC activation while maintaining campaign relevance across both audiences.

The first commercial implementation is being executed by CMI Media Group on behalf of a leading oncology brand, making the agency the inaugural partner to operationalize the technology within a live pharmaceutical marketing campaign.

HCP2DTC Influence™ is a healthcare marketing solution that uses healthcare provider intelligence to inform consumer advertising strategies. By connecting physician insights with patient-facing campaigns, the platform enables pharmaceutical marketers to create more coordinated, data-driven engagement across the healthcare ecosystem.

According to PulsePoint, the technology enables brands to leverage existing first-party understanding of healthcare professionals as a strategic input for broader patient engagement initiatives. Rather than operating physician and consumer campaigns independently, marketers can align audience strategies within a unified programmatic framework.

The approach reflects broader changes occurring throughout healthcare marketing as pharmaceutical companies invest more heavily in first-party data, artificial intelligence, and omnichannel engagement platforms. Growing regulatory complexity, evolving privacy requirements, and increased demand for measurable campaign performance have encouraged organizations to consolidate fragmented marketing strategies into integrated technology ecosystems.

CMI Media Group's deployment also illustrates how healthcare agencies are expanding their role beyond campaign execution toward data-driven audience orchestration. As pharmaceutical brands increasingly seek measurable business outcomes, agencies are adopting advanced marketing technologies capable of connecting multiple audience segments while improving media efficiency.

The healthcare marketing sector has become one of the fastest-evolving areas of digital advertising, driven by advances in AI-powered analytics, audience intelligence, and programmatic media buying. According to McKinsey & Company, pharmaceutical organizations continue increasing investment in advanced analytics and AI to improve commercial effectiveness, customer engagement, and marketing decision-making. Gartner likewise identifies AI-enabled marketing platforms as strategic technologies supporting personalized customer experiences and data-driven campaign optimization.

PulsePoint's latest announcement aligns with these trends by extending physician intelligence into broader consumer engagement workflows. Instead of treating HCP and DTC programs as isolated initiatives, the platform encourages coordinated decision-making based on shared audience insights.

The competitive landscape includes healthcare-focused marketing technology providers alongside enterprise platforms from Google, Microsoft, Adobe, and Salesforce, all of which continue expanding AI-powered advertising, customer data, and analytics capabilities. Specialized healthcare marketing platforms differentiate themselves by incorporating industry-specific datasets, regulatory expertise, and healthcare-focused targeting capabilities that general-purpose advertising platforms may not provide.

For pharmaceutical marketing teams, unified HCP and DTC activation has the potential to improve campaign consistency, optimize media investments, and create more connected patient engagement strategies. By aligning physician influence with consumer communications, brands may gain a more comprehensive understanding of how marketing activities contribute to patient awareness and treatment journeys.

Looking ahead, integrated healthcare marketing solutions are expected to play a larger role as pharmaceutical organizations expand omnichannel engagement strategies. The first agency deployment of HCP2DTC Influence™ signals growing industry interest in technologies that bridge traditionally separate marketing functions through AI, first-party data, and programmatic advertising.

Market Landscape

Healthcare marketing is rapidly evolving as pharmaceutical companies adopt AI-powered advertising platforms, first-party data strategies, and omnichannel engagement models. The convergence of healthcare provider intelligence and consumer marketing reflects a broader industry shift toward integrated audience activation, enabling brands to improve personalization, campaign measurement, and cross-channel performance while navigating increasingly complex regulatory requirements.

Top Insights

• PulsePoint and CMI Media Group completed the first commercial deployment of HCP2DTC Influence™, connecting physician intelligence with consumer healthcare advertising.
• The platform helps pharmaceutical marketers align HCP and DTC campaigns using first-party healthcare data within a unified programmatic marketing strategy.
• Integrated healthcare marketing is becoming increasingly important as brands seek measurable performance across physician engagement and patient activation initiatives.
• AI-powered audience intelligence enables healthcare organizations to improve campaign coordination while supporting data-driven media optimization.
• Healthcare agencies are expanding beyond media execution by adopting advanced marketing technologies that unify audience planning across multiple stakeholder groups.

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ZoomInfo has released new franchise market analysis indicating that Jersey Mike's franchise ownership is becoming increasingly concentrated among large multi-unit operators ahead of the restaurant chain's planned initial public offering (IPO). The findings highlight how data intelligence platforms are helping enterprise sales, investment, and franchise development teams better understand ownership structures, expansion activity, and acquisition trends across the U.S. franchise economy.

Go-to-market intelligence provider ZoomInfo has published new research suggesting that Jersey Mike's franchise system is rapidly consolidating into the hands of larger multi-unit operators as the sandwich chain prepares for its anticipated IPO. The analysis leverages ZoomInfo's proprietary franchise intelligence platform to map ownership patterns across thousands of franchise businesses and identify structural changes occurring within one of the fastest-growing quick-service restaurant (QSR) brands.

The report illustrates a broader trend in franchising, where experienced operators continue expanding through acquisitions and multi-unit ownership rather than relying solely on new franchise entrants. As franchise brands mature, institutional investors, private equity firms, and enterprise operators increasingly favor scalable ownership models capable of supporting operational consistency and long-term growth.

According to ZoomInfo, its franchise intelligence database tracks ownership across more than 600,000 U.S. franchise locations representing over 3,000 franchise brands, connecting each location to its operating entity and associated business decision-makers. The platform enables sales organizations, investors, suppliers, and marketing teams to identify franchise ownership structures rather than treating individual locations as independent businesses.

The Jersey Mike's analysis combines ZoomInfo's operator-level franchise data with publicly available Franchise Disclosure Documents (FDDs) and the company's S-1 registration filing, providing a detailed view of ownership concentration, expansion activity, and franchise transactions.

The findings indicate that while Jersey Mike's has approximately 630 franchise owners, ownership is increasingly concentrated among larger operators. More than half of franchisees operate only one or two restaurants, yet the largest ownership groups control a disproportionate share of the network. ZoomInfo estimates that the top 10 franchise operators manage roughly 16% of U.S. locations, the top 25 account for approximately 25%, and the top 50 collectively oversee around 36% of the system.

Although no individual franchise group controls a dominant portion of the brand, the analysis suggests that operational influence is gradually shifting toward experienced multi-unit ownership organizations capable of scaling restaurant operations across multiple markets.

The report also highlights a significant increase in franchise acquisitions between operators. Store transfers rose to 218 during 2025, compared with 77 in 2024 and 96 in 2023, representing the highest level recorded over the past five years.

Perhaps more notable than the increase in transactions is what did not occur. Over the same five-year period, Jersey Mike's reportedly recorded no franchise terminations or non-renewals, indicating that ownership changes were driven primarily by acquisitions rather than business failures.

Franchise intelligence platforms aggregate ownership, location, and organizational data to help businesses understand franchise structures, identify decision-makers, and analyze expansion trends. These platforms support sales prospecting, market analysis, investment research, and strategic account planning across large franchise ecosystems.

ZoomInfo's research also points to continued organic expansion within the existing franchise network. Jersey Mike's has disclosed a development pipeline exceeding 1,600 planned locations, with more than 90% reportedly committed by existing franchise operators rather than new entrants. The company identified 190 locations listed as under construction at the end of 2025, primarily concentrated across Texas, California, and New York.

Using live business listing verification, ZoomInfo found that nearly 59% of those locations had already opened by July 2026, suggesting rapid execution of expansion plans and continued momentum across key geographic markets.

The analysis reflects broader developments occurring across franchise management and enterprise sales intelligence. Organizations increasingly rely on AI-powered commercial data platforms to identify ownership relationships, market opportunities, and expansion patterns that traditional business directories may not capture.

According to Gartner, AI-powered sales intelligence platforms are becoming increasingly important as organizations pursue more precise account-based strategies and data-driven commercial decision-making. IDC likewise reports continued enterprise investment in intelligent data platforms that improve customer targeting, operational planning, and revenue growth.

The competitive landscape includes sales intelligence providers alongside enterprise CRM ecosystems from Salesforce, Microsoft, Google, and Oracle, all of which continue expanding AI-driven data management and customer intelligence capabilities. Specialized providers such as ZoomInfo differentiate themselves through proprietary business datasets, advanced account resolution, and industry-specific market intelligence.

For enterprise marketing, sales, and investment teams, franchise ownership intelligence is becoming increasingly valuable as consolidation reshapes industries ranging from restaurants and retail to healthcare and automotive services. Understanding who ultimately controls franchise assets enables more targeted account-based marketing (ABM), partnership strategies, and commercial engagement.

As franchise ecosystems continue to mature, ownership analytics are expected to play a growing role in enterprise go-to-market strategies. ZoomInfo's latest analysis demonstrates how AI-powered commercial intelligence platforms are evolving beyond contact databases into strategic decision-support systems capable of revealing broader market trends before they become widely visible.

Market Landscape

The U.S. franchise sector is experiencing increased consolidation as multi-unit operators expand through acquisitions and organic development. At the same time, AI-powered sales intelligence platforms are transforming how enterprise organizations identify ownership structures, prioritize strategic accounts, and analyze market opportunities. These capabilities are becoming increasingly important for businesses operating in franchise-driven industries where decision-making is concentrated among a relatively small number of ownership groups.

Top Insights

• ZoomInfo's analysis shows Jersey Mike's franchise ownership becoming increasingly concentrated among experienced multi-unit operators ahead of its anticipated public offering.
• Franchise-to-franchisee acquisitions reached a five-year high, indicating consolidation driven by strategic investment rather than operational underperformance.
• More than 90% of Jersey Mike's future development pipeline is committed by existing franchise owners, reinforcing confidence within the current operator network.
• AI-powered franchise intelligence enables enterprise sales and marketing teams to identify ownership relationships instead of treating individual locations as separate prospects.
• Growing franchise consolidation is increasing demand for commercial data platforms that support account-based marketing, investment analysis, and strategic business development.

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Sundial Media & Technology Group (SMTG) has entered a strategic partnership with Sonic Gods Studios to co-develop original intellectual property (IP) and cross-platform entertainment franchises. The collaboration reflects a broader shift in the media industry, where publishers are evolving into IP-driven cultural platforms by combining storytelling, audience communities, creator ecosystems, and commercial partnerships across streaming, television, digital media, social platforms, and live experiences.

Sundial Media & Technology Group (SMTG) has announced a long-term strategic partnership with Sonic Gods Studios aimed at creating original entertainment properties and expanding intellectual property (IP) across multiple media channels. The collaboration underscores an industry-wide transformation in which media organizations are moving beyond traditional publishing to become owners and developers of scalable entertainment franchises.

The partnership combines Sundial's portfolio of established cultural media brands—including ESSENCE, Refinery29, AFROPUNK, Beautycon, Girls United, and Unbothered—with Sonic Gods Studios' integrated production and franchise development capabilities. Together, the companies plan to develop scripted and unscripted programming, creator-led content, branded entertainment, live experiences, and digital-first media designed for long-term audience engagement.

The announcement reflects how media companies are increasingly prioritizing ownership of intellectual property rather than relying solely on advertising-supported publishing models. As streaming platforms, social media, creator economies, and experiential events continue to converge, original IP has become one of the industry's most valuable strategic assets.

Initially recognized for its publishing brands and community-driven media properties, Sundial is positioning itself as a broader cultural enterprise focused on creating, owning, and commercializing entertainment franchises that extend across multiple distribution channels. The company views storytelling, technology, commerce, and community engagement as interconnected components of a modern media business.

Sonic Gods Studios contributes an end-to-end production model encompassing original IP development, premium production, brand partnerships, performance marketing, distribution strategy, and long-term franchise management. Rather than serving solely as a production studio, the company supports projects throughout their commercial lifecycle, from concept development to audience growth and monetization.

Cross-platform entertainment franchises are intellectual properties designed to exist across multiple formats—including streaming, television, digital media, social platforms, gaming, live events, merchandising, and brand partnerships. This approach enables media companies to build long-term audience engagement while creating multiple revenue opportunities from a single creative property.

Unlike conventional production agreements that focus primarily on content creation, the Sundial–Sonic Gods collaboration extends into audience development, commercial strategy, distribution planning, creator partnerships, experiential marketing, and franchise expansion. Both organizations intend to identify original concepts capable of evolving into sustainable entertainment brands supported by integrated marketing and community engagement.

The partnership also highlights the growing importance of creator-led media ecosystems. Modern entertainment companies increasingly recognize that audience loyalty is driven not only by premium content but also by authentic communities that engage across multiple digital and physical touchpoints.

According to PwC's Global Entertainment & Media Outlook, consumer spending on digital entertainment, streaming services, creator-driven content, and immersive media continues to expand as audiences diversify how they consume entertainment. Meanwhile, McKinsey & Company has reported that intellectual property ownership is becoming an increasingly important competitive advantage as media companies seek recurring revenue through franchise ecosystems rather than standalone productions.

The broader competitive landscape includes entertainment companies alongside technology and streaming leaders such as Amazon, Google, Microsoft, and Adobe, whose platforms increasingly support AI-assisted content production, digital distribution, audience analytics, and creator monetization. Traditional media organizations are simultaneously investing in proprietary IP strategies to strengthen direct audience relationships and reduce dependence on third-party platforms.

For enterprise marketing teams and brand partners, cross-platform franchises provide new opportunities for integrated brand storytelling. Rather than sponsoring isolated campaigns, brands can participate in long-term entertainment ecosystems that span video, social media, live events, digital communities, commerce, and creator collaborations.

The partnership also illustrates a wider transformation occurring across the media industry. Publishers are increasingly repositioning themselves as owners of intellectual property, leveraging trusted audiences and cultural influence to develop entertainment assets that generate value across multiple business models.

Looking ahead, collaborations that unite media brands with independent creative studios are expected to become more common as organizations compete to build recognizable franchises capable of extending beyond a single distribution platform. Sundial and Sonic Gods are positioning their alliance around this strategy, focusing on culturally relevant storytelling supported by scalable production, audience engagement, and long-term commercialization.

Market Landscape

The media and entertainment industry is rapidly shifting toward IP-first business models, where companies prioritize ownership of original franchises over one-time content production. Streaming platforms, creator economies, live experiences, and digital commerce are increasingly interconnected, encouraging publishers and studios to build entertainment ecosystems that generate recurring audience engagement and diversified revenue streams. Strategic partnerships between media companies and production studios are becoming central to this evolution.

Top Insights

• Sundial Media & Technology Group and Sonic Gods Studios will jointly develop original intellectual property designed for streaming, television, digital platforms, and live experiences.
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Freedom Holding Corp. has partnered with Antom, the merchant payment and digitization platform operated by Ant International, to simplify cross-border online shopping for consumers in Kazakhstan. The agreement will integrate the Freedom Bank SuperApp with major Chinese e-commerce platforms, allowing users to pay with their local banking application while supporting broader digital commerce and international payment connectivity.

Freedom Holding Corp. has signed a strategic agreement with Antom, the merchant payment and digital commerce platform under Ant International, to strengthen cross-border payment infrastructure between Kazakhstan and China's expanding e-commerce ecosystem. The collaboration is designed to enable users of the Freedom Bank SuperApp to make purchases on leading Chinese online marketplaces using their preferred local payment method.

The agreement was formalized through a Memorandum of Understanding (MoU) signed during a meeting between Timur Turlov, Chief Executive Officer of Freedom Holding Corp., and representatives from the global fintech sector. The initiative reflects growing demand for localized payment solutions as international digital commerce continues to expand across Central Asia.

Cross-border online shopping has accelerated in recent years as consumers increasingly purchase products directly from international marketplaces. However, payment compatibility, currency conversion, and localized checkout experiences remain major barriers to seamless international transactions. The new partnership seeks to address these challenges by connecting Kazakhstan's domestic digital banking ecosystem with China's global e-commerce infrastructure.

Under the agreement, Antom will recognize the Freedom Bank SuperApp as a supported payment method across participating Chinese e-commerce platforms. This integration allows consumers in Kazakhstan to complete online purchases using familiar domestic payment services rather than relying on international cards or alternative payment intermediaries.

Cross-border digital payment platforms enable consumers to make purchases from international merchants using local payment methods while managing currency conversion, payment authorization, and settlement through integrated financial infrastructure. These systems simplify international commerce by reducing payment friction for both merchants and consumers.

Antom currently supports more than 300 local payment methods, connecting merchants with consumers across more than 200 markets while facilitating transactions in over 100 currencies. Through the collaboration, Freedom Bank SuperApp users are expected to gain access not only to Chinese marketplaces but also to a broader global merchant network supported by Antom's international payment infrastructure.

The companies also indicated that they intend to explore additional opportunities involving cross-border digital payments and financial services as the partnership develops.

According to Freedom Holding, the collaboration aligns with its broader strategy of expanding financial services beyond domestic banking by integrating international commerce into its digital ecosystem. The company sees growing trade between Kazakhstan and China as an opportunity to strengthen digital financial infrastructure that supports consumers, merchants, and businesses engaged in cross-border transactions.

The initiative also reflects broader trends shaping the global fintech industry. Consumers increasingly expect digital banking applications to function as comprehensive financial ecosystems capable of supporting payments, shopping, investments, and international transactions through a single interface.

Research from McKinsey & Company indicates that digital payments continue to be one of the fastest-growing segments of financial services, driven by mobile commerce, embedded finance, and cross-border digital transactions. Meanwhile, Statista projects continued expansion in global e-commerce spending, supported by increasing adoption of digital wallets and localized payment solutions.

The competitive landscape includes global payment providers and technology companies such as Google, Amazon, Microsoft, and Apple, alongside specialized financial technology platforms focused on digital wallets, payment orchestration, and international commerce. Regional financial institutions are increasingly partnering with global payment networks rather than building proprietary international infrastructure independently.

For merchants, localized payment integration offers access to new consumer markets without requiring extensive changes to existing payment systems. For consumers, familiar domestic payment methods improve transaction confidence, simplify checkout experiences, and reduce barriers associated with international purchases.

The agreement also demonstrates the growing role of embedded finance, where banking services become integrated directly into broader digital ecosystems. Rather than functioning solely as financial institutions, banks increasingly provide payment infrastructure that connects consumers with commerce platforms, digital services, and international marketplaces.

Looking ahead, cross-border payment partnerships are expected to become increasingly important as global e-commerce expands into emerging markets. The collaboration between Freedom Holding and Antom illustrates how fintech companies are combining local financial ecosystems with global payment infrastructure to simplify international commerce while supporting broader digital economic growth.

Market Landscape

Cross-border digital payments have become a strategic priority for financial institutions as international e-commerce continues expanding across emerging and developed markets. Consumers increasingly demand localized payment experiences when shopping globally, encouraging banks, fintech providers, and payment platforms to build interoperable financial ecosystems. Partnerships between regional banks and global payment infrastructure providers are becoming a key driver of digital commerce growth and embedded financial services.

Top Insights

• Freedom Holding and Antom are integrating the Freedom Bank SuperApp with Chinese e-commerce platforms to simplify cross-border online shopping for Kazakhstan consumers.
• The partnership enables localized digital payments, reducing friction associated with international transactions and improving customer checkout experiences.
• Antom's global payment infrastructure connects merchants across more than 200 markets while supporting over 300 local payment methods worldwide.
• The collaboration reflects growing demand for embedded finance solutions that combine banking, payments, and digital commerce within unified consumer applications.
• Cross-border payment partnerships are becoming increasingly important as fintech providers expand international commerce opportunities through localized financial ecosystems.

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