EZ Texting is introducing a new way for small and mid-sized businesses to manage SMS marketing by launching Model Context Protocol (MCP) servers that connect its platform with popular AI assistants such as ChatGPT and Claude. Rather than navigating a traditional marketing dashboard, users can execute SMS campaigns, review performance metrics, manage contacts, and automate workflows using natural language conversations. The launch reflects a broader industry shift toward AI-native business software, where conversational interfaces are becoming the primary way users interact with enterprise applications.

EZ Texting has announced the launch of its Model Context Protocol (MCP) servers, enabling businesses to operate SMS marketing campaigns directly through AI assistants including ChatGPT, Claude, and other MCP-compatible applications.

The company says the new capability allows marketers and business owners to perform everyday SMS marketing tasks simply by asking an AI assistant. Instead of switching between dashboards or manually configuring campaigns, users can request broadcasts, analyze campaign performance, organize customer lists, or create automated workflows using conversational prompts.

The release positions EZ Texting among the growing number of software vendors embracing the open Model Context Protocol, an emerging standard designed to help AI assistants securely connect with business applications. By supporting MCP, organizations can extend AI beyond content generation into operational tasks across multiple software platforms.

According to EZ Texting, the company is now listed on major MCP discovery platforms, including the official MCP Registry, PulseMCP, Smithery, and mcp.so. While larger customer engagement providers such as Twilio and Klaviyo have introduced MCP implementations primarily targeting developers and enterprise engineering teams, EZ Texting is focusing its rollout on small and medium-sized businesses that typically lack dedicated development resources.

The distinction reflects a broader opportunity within the marketing technology market. Many AI-powered workflow tools have historically required APIs, custom integrations, or technical expertise before businesses could automate marketing operations. Conversational AI interfaces are beginning to reduce those barriers by allowing non-technical users to interact directly with enterprise software.

With the new integration, businesses can send promotional messages without opening the EZ Texting application, retrieve campaign delivery and engagement metrics through simple questions, manage customer contacts, build SMS automation workflows from existing templates, and review account usage or messaging credits—all through supported AI assistants.

The company notes that every AI-initiated action continues to operate within EZ Texting's existing infrastructure. User permissions, messaging credits, compliance controls, and platform policies remain unchanged, providing businesses with a conversational interface without altering underlying governance or regulatory safeguards.

Another notable aspect of the launch is interoperability. Because MCP is emerging as an open protocol for AI applications, businesses can potentially connect SMS marketing activities with other AI-enabled platforms already used across sales, ecommerce, and customer relationship management. Integrations with systems such as Shopify, HubSpot, Google Sheets, and additional MCP-compatible services could enable marketers to automate multi-step workflows without writing code.

For marketing teams, the announcement highlights the next phase of AI adoption. Early generative AI deployments largely focused on creating emails, advertising copy, and marketing content. Increasingly, vendors are extending AI into execution, allowing assistants not only to recommend actions but also to carry them out securely across enterprise platforms.

This transition aligns with broader trends across the MarTech industry. Gartner has identified generative AI as one of the technologies reshaping marketing operations, while McKinsey & Company reports that organizations successfully embedding AI into customer-facing workflows are achieving measurable improvements in productivity and operational efficiency. Conversational interfaces are expected to become increasingly common as software providers redesign applications around AI agents rather than traditional navigation menus.

Competition in this segment is also intensifying. Companies including Salesforce, Microsoft, Adobe, HubSpot, and Google are expanding AI assistants across their enterprise ecosystems, enabling users to complete business tasks through natural language rather than manual workflows. EZ Texting's adoption of MCP signals that AI-native experiences are becoming accessible beyond large enterprise platforms and into software designed for small and mid-sized organizations.

For businesses already investing in SMS marketing, the development could simplify campaign management while lowering the technical expertise required to automate customer engagement. As AI assistants evolve from productivity tools into operational interfaces, conversational marketing management may become a standard feature across customer engagement platforms.

Market Landscape

Model Context Protocol is rapidly emerging as an important interoperability standard for enterprise AI. By enabling secure communication between AI assistants and software platforms, MCP allows users to execute business operations through natural language rather than application-specific interfaces.

Industry analysts expect conversational software experiences to accelerate over the next several years. Gartner predicts that generative AI will fundamentally reshape how employees interact with enterprise applications, while IDC expects AI copilots and intelligent agents to become embedded across customer experience and marketing technology platforms. As adoption grows, vendors that support open AI standards may gain an advantage by fitting more easily into organizations' expanding AI ecosystems.

Top Insights

• EZ Texting is extending SMS marketing beyond dashboards by enabling businesses to manage campaigns through AI assistants using the emerging Model Context Protocol standard.

• The launch targets small and mid-sized businesses, giving non-technical marketing teams access to conversational automation without requiring developers or API integrations.

• MCP compatibility enables SMS marketing workflows to connect with platforms such as Shopify, HubSpot, and Google Sheets through AI-driven orchestration.

• The announcement reflects a broader MarTech shift from AI-assisted content creation toward AI-powered execution across customer engagement platforms.

• Open AI interoperability standards are becoming increasingly important as enterprises seek unified workflows spanning marketing, CRM, ecommerce, and productivity applications.

Get in touch with our MarTech Experts

Topgolf is broadening its brand partnership strategy with a new five-year agreement that positions premium lifestyle apparel company Black Clover USA across its nationwide entertainment venues. The collaboration goes beyond traditional sponsorship, combining branded retail, employee apparel, digital media, and customer engagement into a single marketing ecosystem. The initiative reflects how experiential venues are increasingly becoming powerful retail media platforms where brands can influence purchasing decisions through immersive, in-person experiences.

Topgolf has announced a five-year partnership with Black Clover USA, introducing the lifestyle apparel company as its national uniform partner and official retail partner across all 102 company-owned venues in the United States.

The agreement represents more than a conventional sponsorship. It integrates merchandising, digital advertising, employee branding, and customer engagement into a unified marketing strategy designed to reach nearly 40 million annual visitors. As brands continue searching for alternatives to traditional digital advertising, experiential destinations such as Topgolf are emerging as valuable channels for connecting with consumers throughout their leisure journeys.

Under the partnership, Black Clover will provide employee uniforms across Topgolf venues while launching co-branded merchandise available for purchase onsite. The retail assortment includes exclusive hats, golf polos, branded tees, golf gloves, and premium headcovers produced by CMC Design, a Black Clover Enterprises brand.

The initiative illustrates a growing trend in experiential commerce, where physical entertainment venues increasingly function as hybrid destinations combining recreation, retail, and digital advertising. Rather than limiting partnerships to logo placement, companies are embedding brands directly into customer experiences, allowing visitors to interact with products before making purchasing decisions.

The collaboration also extends into Topgolf Media Networks, the company's recently introduced sponsorship, licensing, and media business. Through this platform, Black Clover branding will appear across Topgolf's nationwide digital ecosystem, including email campaigns, social media content, venue promotions, and more than 28,000 digital displays installed throughout its locations.

For enterprise marketers, the agreement demonstrates how first-party customer engagement can extend beyond digital channels. By integrating retail merchandising with digital screens, loyalty communications, and in-person experiences, companies can create omnichannel campaigns supported by consistent messaging throughout the customer journey.

The partnership will also include a month-long branded game sweepstakes, featuring integrated promotions inside the Topgolf gaming experience alongside approximately $20,000 in prizes. Rather than relying solely on external advertising campaigns, the activation places marketing directly within customer interactions, increasing visibility while encouraging participation.

This reflects broader changes across the marketing technology landscape. Brands are increasingly investing in owned media environments where they control customer interactions instead of depending exclusively on third-party advertising networks. Similar strategies have been adopted across industries as organizations seek stronger first-party data capabilities amid evolving privacy regulations and the gradual decline of third-party cookies.

Industry analysts have consistently highlighted this shift. Gartner has identified first-party customer data and personalized engagement among the highest priorities for marketing leaders, while McKinsey & Company reports that organizations delivering personalized customer experiences can generate significantly higher revenue growth compared with competitors. The Topgolf–Black Clover partnership aligns with these broader enterprise marketing trends by combining retail, media, customer engagement, and experiential commerce into a single platform.

The collaboration also includes community engagement initiatives supporting organizations including Make-A-Wish and Special Olympics. Black Clover plans to contribute 10,000 co-branded hats as part of charitable campaigns conducted through Topgolf venues, extending the partnership beyond commercial marketing into corporate social responsibility programs.

From a competitive perspective, experiential entertainment companies are increasingly competing not only with traditional golf brands but also with retail media networks, live entertainment operators, and digital advertising platforms. By expanding its media business while integrating retail partnerships throughout its venues, Topgolf is positioning itself as both a sports entertainment destination and an emerging retail media platform.

The announcement also highlights how lifestyle brands are seeking new customer acquisition channels outside conventional ecommerce and paid social advertising. Instead of relying entirely on digital impressions, companies are investing in environments where customers naturally spend extended periods, interact with products, and share experiences across social media.

For enterprise marketing teams, the partnership offers a practical example of how physical experiences, branded merchandise, digital media, and customer engagement can work together within a unified marketing strategy. As experiential commerce continues to evolve, similar partnerships are likely to become increasingly common across sports, hospitality, and entertainment industries.

Market Landscape

Retail media has expanded beyond ecommerce marketplaces into physical venues where brands can influence purchasing decisions through immersive customer experiences. Entertainment destinations, sports venues, and experiential retail environments are becoming valuable marketing channels as advertisers prioritize first-party data, omnichannel engagement, and measurable customer interactions.

According to Gartner, improving customer experience remains one of the highest strategic priorities for marketing organizations, while McKinsey & Company has found that companies leading in personalization consistently outperform peers in customer acquisition and revenue growth. Partnerships that combine retail, media, and experiential engagement are expected to play an increasingly important role in enterprise marketing strategies.

Top Insights

• Topgolf is evolving beyond sports entertainment by combining retail media, digital advertising, and experiential marketing into a unified customer engagement platform reaching nearly 40 million annual visitors.

• Black Clover gains nationwide retail visibility through employee apparel, exclusive merchandise, and digital media integrations, expanding brand awareness beyond traditional golf retail channels.

• The partnership highlights how experiential venues are becoming valuable first-party marketing ecosystems for brands seeking alternatives to conventional digital advertising.

• Integrated retail, media networks, and in-person customer engagement demonstrate how enterprise marketers are building omnichannel brand experiences across physical and digital environments.

• Community initiatives tied to the partnership illustrate how brand collaborations increasingly combine commercial marketing objectives with corporate social responsibility programs.

Get in touch with our MarTech Experts

Zywave is expanding its thought leadership efforts with the launch of the Zywave Horizon Thought Leadership Series, a new event platform designed to bring together insurers, brokers, wholesalers, and technology providers to examine the future of insurance distribution. The inaugural 2026 program combines the Digital Distribution Conference with a new AI Exchange, reflecting the growing role of artificial intelligence, digital transformation, and data-driven decision-making across the insurance ecosystem.

Artificial intelligence is rapidly moving from experimentation to operational deployment across the insurance industry, influencing everything from underwriting and distribution to customer engagement and risk assessment. Against this backdrop, Zywave has introduced the Zywave Horizon Thought Leadership Series, a new umbrella brand that consolidates its industry conferences into a single platform focused on identifying emerging growth opportunities for insurers and brokers.

The initiative will debut in New York City with the second annual Zywave Horizon: Digital Distribution Conference on September 9, 2026, followed by the inaugural Zywave AI Exchange on September 10. Together, the events aim to address how digital technologies, evolving distribution models, and artificial intelligence are reshaping the insurance market.

The launch comes as insurers navigate a period of rapid industry change. Market conditions are evolving amid softening insurance rates, shifting risk profiles, increased regulatory complexity, and the emergence of agentic AI capable of automating complex business processes. At the same time, carriers, brokers, managing general agents (MGAs), and wholesalers are seeking new ways to improve operational efficiency while identifying sustainable sources of revenue growth.

Rather than positioning efficiency as the industry's primary objective, Zywave's event strategy emphasizes growth through collaboration and shared market intelligence. The Horizon series builds on the company's existing conferences covering digital distribution, cyber risk, casualty, and insurance technology, bringing them together under a unified brand that reflects the increasing convergence of technology and insurance operations.

The flagship Digital Distribution Conference will focus on the evolving structure of insurance sales channels. Sessions are expected to examine trends affecting retail brokerages, wholesale networks, MGAs, and managing general underwriters (MGUs), alongside discussions on how technology platforms are influencing customer acquisition, policy distribution, and sales productivity.

Among the scheduled keynote speakers is Tom Gillingham, who will discuss strategies for expanding premium growth by addressing underserved insurance markets. Additional panel discussions will explore organic growth strategies, producer validation, the future of insurance distribution, and the role of agentic AI in commercial insurance operations.

The addition of AI Exchange reflects the industry's growing interest in practical AI implementation rather than theoretical use cases. According to Zywave, the half-day event will focus on operational deployments already taking place across underwriting and distribution, featuring customer-led discussions about real-world adoption, implementation challenges, and measurable business outcomes.

This emphasis mirrors a broader enterprise trend. Organizations are increasingly shifting conversations around AI away from experimentation and toward measurable return on investment. Instead of asking whether AI can improve efficiency, insurers are now evaluating how intelligent automation can accelerate growth, improve underwriting decisions, personalize customer experiences, and streamline broker workflows.

The insurance industry has become one of the fastest-growing adopters of enterprise AI technologies. Major technology providers including Microsoft, Google, Amazon, and Salesforce continue expanding AI capabilities across cloud computing, analytics, workflow automation, and customer relationship management platforms that increasingly support insurance operations.

According to Gartner, AI adoption within financial services and insurance continues to accelerate as organizations seek greater automation, predictive analytics, and operational resilience. McKinsey & Company has similarly highlighted generative AI's potential to improve underwriting productivity, claims management, customer service, and distribution efficiency while creating new competitive advantages.

The conference agenda also reflects the growing fragmentation of insurance distribution. Traditional carrier-to-agent relationships are evolving as digital platforms, embedded insurance models, online marketplaces, and specialized intermediaries reshape how insurance products reach customers. This transformation requires insurers to rethink not only technology investments but also channel strategies and customer engagement models.

For enterprise marketers and insurance technology providers, the Horizon series demonstrates how thought leadership events are increasingly becoming strategic forums for technology education, ecosystem collaboration, and market development. Rather than serving solely as networking opportunities, these conferences now function as platforms where industry participants evaluate emerging technologies, exchange implementation experiences, and identify future business opportunities.

As AI becomes more deeply embedded in underwriting, sales, and distribution, organizations that combine technology adoption with collaborative industry learning may be better positioned to adapt to changing customer expectations and competitive dynamics. Zywave's Horizon initiative reflects that shift, placing AI, digital transformation, and growth strategy at the center of the insurance industry's evolving technology agenda.

Market Landscape

Insurance distribution is undergoing significant digital transformation as carriers, brokers, MGAs, and wholesalers adopt AI-powered automation, predictive analytics, and cloud-based workflow platforms. Agentic AI, embedded insurance, digital customer engagement, and data-driven underwriting are reshaping traditional distribution models. At the same time, organizations are increasingly investing in technology ecosystems that combine CRM, analytics, marketing automation, and intelligent decision support to improve growth and operational efficiency.

Strategic Outlook

The launch of the Horizon Thought Leadership Series signals growing demand for collaborative AI education across the insurance sector. As enterprise AI adoption matures, insurers are expected to focus less on automation alone and more on revenue growth, customer experience, and distribution innovation. Industry events centered on practical AI deployment and cross-sector collaboration will likely become increasingly important as organizations navigate digital transformation.

Top Insights

• Zywave has launched the Horizon Thought Leadership Series to unify its flagship insurance conferences under a single industry-focused event platform.
• The 2026 program combines the Digital Distribution Conference with the new AI Exchange, emphasizing practical AI applications across insurance operations.
• Conference sessions will examine agentic AI, digital distribution, wholesale insurance networks, MGAs, and growth strategies for insurers and brokers.
• AI Exchange will feature real-world customer experiences, highlighting how insurers are implementing AI in underwriting and distribution workflows.
• The event reflects broader enterprise trends toward combining AI, analytics, and digital platforms to modernize insurance distribution and customer engagement.

Get in touch with our MarTech Experts

Real estate technology provider CINC has expanded its integration with Follow Up Boss, enabling agents to manage lead generation, AI-powered customer engagement, property searches, and CRM workflows from a more unified platform. The enhancement reflects a broader shift toward connected real estate technology stacks that combine marketing automation, behavioral intelligence, and AI-driven lead nurturing to improve conversion rates.

Article

Customer relationship management platforms have become the operational backbone of modern real estate businesses, but lead generation, marketing automation, and consumer engagement often remain fragmented across multiple applications. CINC aims to reduce that fragmentation with an expanded integration for Follow Up Boss, giving agents and brokerage teams a more connected workflow from lead acquisition to transaction.

The enhanced integration combines CINC's consumer-facing technology—including lead generation, real estate websites, behavioral intelligence, digital marketing, and AI-powered nurture—with the CRM workflows that many real estate teams already manage through Follow Up Boss.

One of the most significant additions is the ability for agents to manage consumer property searches directly within the CRM. Users can now update saved searches, modify property criteria, adjust custom map-based search areas, review recommended listings, search MLS inventory, and send property recommendations without leaving the Follow Up Boss interface.

The enhancement reflects an industry-wide trend toward workflow consolidation, where software vendors increasingly seek to reduce context switching between marketing, sales, and customer engagement platforms.

For real estate professionals, this integrated approach addresses a common operational challenge. Buyer preferences frequently evolve during the purchasing process as budgets, desired neighborhoods, school districts, commuting requirements, and home features change. Keeping search alerts aligned with those preferences is critical for maintaining engagement and improving conversion opportunities.

Beyond property search management, the integration expands AI-assisted customer engagement. Agents can review AI-generated conversations, monitor automated follow-up activity, and pause AI outreach when they decide to manage client communication directly.

This balance between automation and human interaction reflects a growing enterprise trend. Rather than replacing sales professionals, AI increasingly functions as an assistant that maintains engagement during periods when human agents cannot respond immediately, helping reduce lead abandonment while allowing agents to intervene at key decision points.

The expanded integration also strengthens visibility into customer behavior. Through CINC's two-way synchronization with Follow Up Boss, agents can already access engagement signals including browsing activity, property interactions, conversation history, notes, lead tags, dispositions, and AI conversations. These behavioral insights help identify purchase intent and prioritize follow-up based on customer activity instead of static lead lists.

Behavioral intelligence has become an increasingly valuable component of modern CRM platforms. Enterprise marketing organizations across industries now rely on engagement signals to personalize customer experiences, automate communications, and improve sales efficiency through predictive lead scoring.

The announcement also highlights CINC's broader product strategy, which emphasizes lead quality rather than lead volume. Features such as RealVerified Leads, behavioral tracking, hyper-local marketing campaigns, and AI-driven nurturing are designed to help agents focus resources on prospects demonstrating genuine buying or selling intent.

This approach mirrors broader developments across the marketing technology sector, where first-party customer data, predictive analytics, and AI-powered personalization are becoming central to customer acquisition strategies.

Technology vendors including Google, Microsoft, Amazon, and Salesforce continue investing heavily in artificial intelligence capabilities that support customer relationship management, conversational AI, predictive analytics, and workflow automation. Similar technologies are increasingly being adopted within specialized industries such as real estate, healthcare, and financial services, where customer journeys involve multiple interactions over extended decision-making periods.

According to Gartner, AI-enhanced CRM platforms are expected to play a growing role in automating routine sales and marketing activities while improving customer engagement through predictive recommendations. Forrester has likewise identified AI-driven personalization and unified customer data as critical capabilities for organizations seeking stronger customer experiences and operational efficiency.

For enterprise marketers, the expanded CINC and Follow Up Boss integration illustrates the continued convergence of CRM, marketing automation, behavioral analytics, and AI. Rather than operating as isolated systems, these technologies increasingly function as connected platforms that provide a continuous view of customer intent throughout the buying journey.

As real estate professionals face growing competition for online leads, integrated technology ecosystems that combine lead generation, intelligent automation, customer engagement, and CRM execution are likely to become a key differentiator for brokerage performance. The latest integration represents another step toward that unified model, enabling agents to spend less time managing software and more time building customer relationships.

Market Landscape

The real estate technology market is rapidly evolving toward unified digital platforms that combine CRM, marketing automation, AI-powered lead nurturing, behavioral analytics, and customer engagement. As buyers increasingly begin their property search online, brokerages are investing in integrated solutions that improve lead quality, automate follow-up, and personalize communications. AI-powered CRM platforms are becoming essential for managing long sales cycles and identifying high-intent buyers.

Strategic Outlook

The deeper integration between CINC and Follow Up Boss reflects a broader movement toward connected real estate technology ecosystems. Future platforms are expected to integrate predictive analytics, conversational AI, customer journey orchestration, and first-party behavioral intelligence into a single workflow. As AI becomes more embedded within CRM systems, brokerages that leverage unified marketing and sales platforms may gain stronger customer engagement and higher conversion efficiency.

Top Insights

• CINC has expanded its Follow Up Boss integration to unify lead generation, AI-powered nurturing, CRM workflows, and consumer engagement.
• Agents can now manage saved searches, MLS listings, property alerts, and search preferences directly within the CRM environment.
• AI-assisted conversations remain visible while agents retain the ability to pause automated outreach and assume direct customer communication.
• Behavioral intelligence, activity tracking, and lead engagement data help prioritize prospects based on buyer intent rather than lead volume.
• The integration reflects broader enterprise trends toward combining CRM, marketing automation, and AI into connected customer experience platforms.

Get in touch with our MarTech Experts

SenesTech is seeing early momentum from its digital commerce strategy after more than doubling its active subscription customer base during the second quarter of 2026. The growth reflects a broader enterprise trend toward recurring revenue models, where subscriptions, direct-to-consumer (DTC) channels, and digital marketing are becoming central to long-term customer retention and revenue predictability.

Subscription commerce continues to reshape how businesses generate recurring revenue, and SenesTech is the latest company to report gains from that strategy. The company announced that its active online subscriber base more than doubled during the second quarter of 2026, contributing to a significant expansion of its e-commerce business across both direct-to-consumer (DTC) and business-to-business (B2B) channels.

The milestone comes as SenesTech strengthens its digital sales infrastructure and expands investments in e-commerce platforms, digital marketing, and marketplace management. According to the company, overall e-commerce revenue increased 186% quarter over quarter, supported by subscription growth, increased activity on Amazon, and the direct management of its Shopify storefront.

While the company is best known for its rodent fertility control products marketed under the Evolve® and ContraPest® brands, the latest announcement focuses less on product innovation and more on the commercial transformation occurring behind the scenes. The business is increasingly relying on subscription-based purchasing to build predictable revenue streams while strengthening customer relationships over time.

Unlike traditional one-time product purchases, subscription commerce enables companies to forecast future demand more accurately, improve customer lifetime value (CLV), and reduce acquisition costs through higher retention. These characteristics have made subscription models a strategic priority across industries ranging from SaaS and consumer goods to healthcare and industrial supplies.

SenesTech's approach combines consumer-facing digital channels with commercial sales. While individual consumers purchase products through the company's website and online marketplaces, a notable portion of Shopify transactions originates from B2B customers. Smaller commercial buyers increasingly place recurring orders online, while larger enterprise accounts continue to be managed through dedicated sales representatives.

This hybrid commerce model reflects an emerging trend in enterprise digital transformation, where organizations blend self-service e-commerce with traditional account-based sales. Businesses increasingly expect flexible purchasing options that allow customers to transition seamlessly between online ordering and direct sales engagement.

The company's investment in managing its own Amazon marketplace operations also highlights a broader shift toward first-party digital commerce strategies. Rather than relying entirely on third-party distribution partners, many brands are bringing marketplace management, digital advertising, customer engagement, and storefront optimization under direct operational control to improve customer experience and collect richer first-party data.

For marketing teams, the announcement underscores the growing importance of digital channels in supporting both demand generation and brand awareness. SenesTech noted that its e-commerce investments are intended not only to increase online sales but also to educate customers about rodent birth control, strengthen brand recognition, and generate qualified commercial leads for its B2B sales organization.

This integrated strategy aligns with modern omnichannel marketing practices, where digital campaigns support multiple objectives simultaneously, including awareness, lead generation, customer education, and recurring customer acquisition.

Industry research supports the continued expansion of subscription commerce. According to McKinsey & Company, subscription business models continue to gain traction as organizations prioritize recurring revenue, predictable cash flow, and long-term customer engagement. Meanwhile, Statista reports sustained growth in global e-commerce sales, with businesses increasingly investing in digital commerce infrastructure and personalized customer experiences.

The underlying product category also lends itself to recurring purchasing behavior. Rodent fertility control solutions are designed for continuous population management rather than one-time treatments, making automated replenishment well suited to subscription commerce. Similar recurring purchasing models have proven successful across healthcare, consumer packaged goods, and industrial maintenance markets where ongoing product usage is essential.

The broader significance of SenesTech's announcement extends beyond pest management. It illustrates how companies operating in traditional industries are adopting enterprise e-commerce strategies commonly associated with software and digital services. Subscription billing, recurring revenue, customer lifecycle management, and digital marketing automation are increasingly becoming competitive differentiators across sectors.

Technology providers including Amazon, Shopify, Google, and Microsoft continue expanding AI-powered commerce capabilities that help businesses personalize customer experiences, automate marketing, optimize storefront performance, and improve demand forecasting. As these technologies mature, subscription-based commerce is expected to become an even more important driver of enterprise growth.

For investors and enterprise marketers alike, SenesTech's latest results reinforce the strategic value of recurring revenue models. While subscription growth alone does not guarantee long-term financial performance, expanding recurring customer relationships generally improves revenue visibility and strengthens resilience against fluctuations in one-time purchasing behavior.

Market Landscape

Recurring revenue models continue to reshape enterprise commerce as organizations prioritize customer retention, predictable cash flow, and long-term lifetime value. Subscription commerce has expanded beyond SaaS into healthcare, manufacturing, consumer products, and industrial markets. At the same time, AI-powered marketing automation, first-party data strategies, and omnichannel commerce platforms are enabling businesses to build stronger customer relationships while improving revenue forecasting and operational efficiency.

Strategic Outlook

SenesTech's expanding subscriber base reflects a broader shift toward digitally enabled recurring revenue strategies. As companies increasingly integrate e-commerce, marketplace management, subscription billing, and marketing automation, customer lifetime value is becoming as important as customer acquisition. Continued investment in first-party commerce channels and AI-driven personalization could further strengthen long-term growth opportunities across both consumer and commercial markets.

Top Insights

• SenesTech more than doubled its active subscriber base during the second quarter, reinforcing the strategic value of recurring revenue models.
• Overall e-commerce revenue grew 186% quarter over quarter, supported by Amazon, Shopify, and direct digital marketing investments.
• The company combines DTC and B2B commerce, allowing smaller commercial customers to purchase online while enterprise accounts remain supported by dedicated sales teams.
• Subscription purchasing aligns well with rodent population management, where products require ongoing replenishment rather than one-time use.
• The strategy reflects broader enterprise trends toward digital commerce, customer lifetime value optimization, and omnichannel demand generation.

Get in touch with our MarTech Experts

AI marketing platform Jasper has strengthened its executive leadership with the promotion of Tom Newton to Chief Marketing Officer and the appointment of Lauren Newman as Chief Financial Officer. The leadership changes come as the company accelerates its enterprise AI strategy, expands its marketing agent platform, and increases investment in AI-powered solutions designed for large organizations navigating the next phase of digital marketing transformation.

Enterprise AI marketing platform Jasper has announced two senior leadership appointments aimed at supporting its next stage of growth in the rapidly evolving marketing technology sector. The company promoted Tom Newton to Chief Marketing Officer (CMO) while naming Lauren Newman as Chief Financial Officer (CFO), reinforcing both its commercial and financial leadership as enterprise demand for AI-powered marketing platforms continues to grow.

The appointments arrive at a pivotal moment for Jasper, which has increasingly positioned itself beyond AI content generation and toward enterprise marketing orchestration. Rather than focusing solely on content creation, the company is expanding its portfolio of AI agents that help marketing teams automate workflows, govern brand consistency, and improve decision-making across complex enterprise environments.

Newton, who joined Jasper as Vice President of Marketing in 2024, will now oversee the company's global marketing strategy. His responsibilities include brand development, demand generation, product marketing, and go-to-market execution. Before joining Jasper, Newton held leadership positions at Toast, Knowde, Zendesk, and Intercom, bringing experience in scaling SaaS and AI businesses targeting enterprise customers.

His promotion reflects Jasper's growing emphasis on aligning marketing operations with product strategy and customer outcomes. As enterprise organizations increasingly evaluate AI investments based on measurable business impact rather than experimentation alone, marketing leadership is becoming closely tied to revenue growth, customer adoption, and long-term platform strategy.

Alongside the marketing leadership transition, Lauren Newman assumes responsibility for Jasper's financial strategy as Chief Financial Officer. Newman brings nearly two decades of experience in finance and operational leadership across technology companies.

Most recently, she served as CFO at Aircall, overseeing global finance operations during a period of business expansion. Earlier in her career, Newman spent seven years at Microsoft, where she ultimately became Worldwide Controller for the company's Office Consumer business. She also played a central financial leadership role at Acclara, supporting acquisitions and integration initiatives leading up to the company's acquisition by R1 RCM.

Her appointment signals Jasper's intention to strengthen operational discipline while scaling its enterprise business. Financial leadership has become increasingly important for AI software companies as investors shift attention from rapid growth toward sustainable profitability, efficient operations, and recurring enterprise revenue.

The leadership changes coincide with Jasper's continued expansion of its marketing agents platform, including the recent launch of its Generative Engine Optimization (GEO) Agent. The platform is designed to help organizations monitor and improve how their brands appear in AI-generated responses across emerging search and conversational AI platforms.

Unlike conventional SEO tools that primarily monitor keyword rankings, GEO solutions focus on optimizing brand visibility within AI-generated answers produced by large language models. These platforms analyze AI citations, identify visibility gaps, and recommend content improvements that increase the likelihood of accurate brand representation in generative search experiences.

This reflects a broader evolution in enterprise marketing technology. As AI assistants become part of everyday information discovery, marketers are expanding beyond traditional search optimization to include Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) strategies. These approaches emphasize structured knowledge, authoritative content, and brand consistency across AI-powered search environments.

Jasper's positioning also illustrates a wider shift across the MarTech industry. Rather than offering standalone AI writing assistants, vendors are increasingly building intelligent marketing agents capable of supporting campaign planning, workflow automation, content governance, compliance, analytics, and customer engagement within unified enterprise platforms.

Competition in this market continues to intensify. Technology leaders including Google, Microsoft, Adobe, Salesforce, and Amazon are embedding generative AI into enterprise productivity, customer experience, and marketing platforms. Independent AI software providers such as Jasper are differentiating themselves by delivering specialized marketing workflows tailored to enterprise governance requirements and brand management.

Industry research supports this direction. According to Gartner, AI remains one of the fastest-growing areas of enterprise software investment as organizations prioritize productivity improvements and digital transformation. Meanwhile, McKinsey & Company reports that enterprises are increasingly moving beyond pilot AI projects toward operational deployment that delivers measurable business value.

For enterprise marketing teams, Jasper's executive appointments are significant because they coincide with a strategic evolution from AI-assisted content creation toward governed AI execution. Organizations increasingly require platforms that integrate AI into everyday marketing operations while maintaining oversight, compliance, and brand integrity across multiple digital channels.

As generative AI becomes a foundational component of enterprise marketing infrastructure, leadership decisions that combine commercial growth, financial discipline, and AI innovation are likely to play an increasingly important role in determining which platforms emerge as long-term enterprise technology providers.

Market Landscape

Enterprise marketing is entering a new phase in which AI platforms are evolving from content generation tools into operational systems that automate planning, governance, analytics, and customer engagement. Gartner projects continued enterprise investment in generative AI, while major technology companies are embedding AI capabilities across marketing, CRM, and productivity platforms. Vendors that combine AI automation with enterprise-grade governance and measurable business outcomes are expected to gain a competitive advantage.

Strategic Outlook

Jasper's leadership expansion reflects growing maturity within the enterprise AI software market. As organizations demand scalable, governed AI deployments rather than isolated automation tools, marketing platforms will increasingly compete on workflow orchestration, AI governance, and measurable enterprise impact. Executive leadership focused on operational excellence and strategic growth could strengthen Jasper's position in the evolving MarTech ecosystem.

Top Insights

• Jasper has strengthened its executive leadership by promoting Tom Newton to CMO and appointing Lauren Newman as CFO to support enterprise growth.
• The company continues expanding beyond AI content generation by building role-based marketing agents that automate enterprise marketing workflows.
• Jasper's GEO Agent reflects the industry's shift toward optimizing brand visibility across AI-generated search and conversational AI experiences.
• Enterprise marketers increasingly require AI platforms that combine automation, governance, compliance, and brand consistency rather than standalone content generation.
• Leadership investments coincide with broader enterprise adoption of AI-powered marketing technologies focused on long-term operational transformation.

Get in touch with our MarTech Experts

As AI-powered search and conversational platforms become major channels for content discovery, the digital advertising industry is facing a new challenge: measuring how brands and publishers appear in AI-generated responses. To address this, the Interactive Advertising Bureau (IAB) has released "Measuring Visibility in the AI Era," a standardized framework designed to help brands, publishers, agencies, and measurement providers evaluate AI visibility using a common set of metrics and quality standards.

The rise of generative AI has fundamentally changed how consumers discover brands, products, and online content. Instead of relying solely on traditional search engine results, users are increasingly turning to AI-powered assistants and conversational search platforms that summarize information, recommend products, and cite online sources directly within generated responses.

This shift has created an entirely new category of marketing measurement: AI visibility.

Recognizing the lack of consistent standards in this emerging field, the Interactive Advertising Bureau (IAB) has introduced "Measuring Visibility in the AI Era," a framework intended to establish common measurement principles without endorsing individual technology providers.

According to IAB, more than 20 companies currently offer AI visibility measurement products, often using different methodologies that can produce conflicting results for the same brand or publisher. Without standardized terminology or evaluation criteria, marketers face growing uncertainty about which metrics accurately reflect performance and which merely indicate directional trends.

Rather than prescribing a single measurement solution, the framework provides shared definitions, disclosure requirements, and methodological guidance that organizations can use to assess AI visibility tools and interpret their outputs more consistently.

The initiative mirrors IAB's historical role in developing industry standards during previous waves of digital advertising innovation, including viewability measurement, digital attribution, and advertising quality guidelines.

At the core of the framework is a structured measurement model known as the "4 P's of AI Visibility." The hierarchy is designed to explain how AI-generated references translate into measurable business value.

The first layer, Presence, measures whether a brand or publisher appears within AI-generated responses. Key metrics include mention rate, citation rate, share of voice, and visibility momentum, providing organizations with a baseline understanding of discoverability across AI platforms.

The second layer, Prominence, evaluates how visible those references are within AI responses. Rather than simply counting mentions, this category assesses placement, ranking position, and the depth with which publisher content contributes to generated answers.

The third category, Portrayal, focuses on context and accuracy. Metrics such as sentiment, framing, hallucination rate, and factual inaccuracy rate help organizations understand not only whether they are mentioned, but also whether AI systems represent their brands accurately and safely.

The final layer, Persuasion, connects AI visibility to business outcomes by evaluating whether AI-generated references influence user actions. Metrics such as recommendation strength and post-citation click-through rate are intended to bridge visibility measurement with future attribution models.

Another significant contribution of the framework is its distinction between directional and decision-grade measurement.

Directional data is intended to identify trends, competitive movement, and emerging signals, making it useful for exploratory analysis and early monitoring. Decision-grade measurement, however, requires substantially higher methodological rigor, including sufficient query coverage, reproducible testing, representative sampling, and broad platform analysis before organizations use the data for budget allocation or strategic planning.

This distinction addresses one of the fastest-growing challenges in AI marketing analytics. As organizations rush to measure performance across AI assistants, not all visibility data provides the statistical reliability required for executive decision-making.

For enterprise marketers, the framework arrives at a time when AI optimization is rapidly becoming part of mainstream digital marketing. Traditional search engine optimization (SEO) is increasingly complemented by Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO), disciplines that focus on improving how brands appear within AI-generated answers rather than only conventional search rankings.

The framework is also expected to benefit publishers, many of whom are seeking better visibility into how AI platforms ingest, summarize, and reference their content. Standardized AI citation metrics could become increasingly important as publishers negotiate licensing agreements, evaluate referral traffic, and measure content influence beyond traditional website visits.

Major technology companies including Google, Microsoft, Amazon, and Adobe continue integrating generative AI across search, cloud, productivity, and marketing platforms. Microsoft's support for the framework, including comments from Microsoft Clarity, reflects growing industry recognition that standardized AI measurement will become essential as AI-powered discovery continues to expand.

Industry research reinforces this trend. Gartner predicts that generative AI will continue reshaping digital discovery and enterprise marketing over the coming years, while Forrester has highlighted the growing need for trustworthy AI governance and measurement frameworks as organizations scale AI adoption.

Rather than introducing another measurement product, IAB's framework seeks to establish the foundational rules for evaluating AI visibility across an increasingly fragmented ecosystem. As AI becomes a primary interface for product discovery and information retrieval, standardized measurement may prove as important to the AI economy as web analytics and viewability standards were to the evolution of digital advertising.

Market Landscape

AI-powered discovery is rapidly emerging as a new measurement category within digital marketing. Brands are investing in AEO and GEO strategies alongside traditional SEO as consumers increasingly rely on conversational AI platforms for product research and decision-making. At the same time, publishers are seeking greater transparency into AI citations and content usage. Industry-wide standards are becoming critical as AI visibility measurement evolves into a core marketing analytics discipline.

Strategic Outlook

The IAB framework could accelerate standardization across the growing AI visibility ecosystem by providing common definitions and quality benchmarks. As enterprise marketers integrate AI discovery metrics into broader marketing analytics, vendors will likely compete on methodological transparency, attribution capabilities, and actionable business insights rather than proprietary scoring systems alone. Standardized measurement may also support stronger AI governance, publisher licensing models, and cross-platform performance reporting.

Top Insights

• The IAB has introduced an industry framework to standardize how brands, publishers, and agencies measure visibility across AI-powered discovery platforms.
• The framework's 4 P's of AI Visibility—Presence, Prominence, Portrayal, and Persuasion—create a structured hierarchy linking AI citations to business outcomes.
• A new distinction between directional and decision-grade measurement helps marketers evaluate whether AI visibility data is reliable enough for strategic decisions.
• Publishers can use standardized visibility metrics to better understand AI citations and strengthen future content licensing and monetization discussions.
• The framework supports the growing adoption of AEO and GEO as AI-generated answers increasingly influence consumer discovery and purchasing behavior.

Get in touch with our MarTech Experts

Franchise marketing agency Thunderly is turning its attention to military veterans in the latest chapter of its year-long "American Dreamers: The Stories of Franchising" campaign. The August storytelling initiative highlights how veterans are applying leadership, operational discipline, and mission-focused decision-making developed during military service to build franchise businesses, reflecting a broader trend of franchising as a pathway to entrepreneurship for former service members.

Thunderly has expanded its "American Dreamers: The Stories of Franchising" campaign with a new series dedicated to military veterans who have transitioned from military service to franchise ownership. The initiative showcases entrepreneurs who have leveraged military leadership skills to establish businesses across sectors including information technology and home services.

The campaign arrives as franchising continues to attract veterans seeking structured business ownership models that combine operational independence with established systems, training, and brand support. Industry organizations have long identified veterans as one of the fastest-growing groups entering franchising due to their experience leading teams, executing standardized processes, and operating in high-pressure environments.

Among the featured entrepreneurs is Cory Boxall, owner of multiple TeamLogic IT franchise locations across Virginia. A former member of the U.S. Marine Corps who served during Operations Desert Shield and Desert Storm, Boxall later worked with the United States Diplomatic Security Service before moving into franchise ownership. His business now delivers managed IT services and cybersecurity solutions to commercial organizations, government contractors, and enterprise clients.

The campaign also profiles Brian Franks, a former U.S. Army servicemember who became a franchise owner with Z PLUMBERZ® in Toledo. His story reflects a growing pattern of veterans pursuing entrepreneurship through franchise systems that offer established operational frameworks while reducing some of the risks associated with starting an independent business from scratch.

Rather than focusing solely on personal success stories, Thunderly's campaign also draws attention to broader trends within the franchise industry. Many franchisors actively recruit veterans through initiatives such as VetFran, a long-running program established by the International Franchise Association to support military veterans transitioning into business ownership. Participating franchise brands frequently provide financial incentives, franchise fee discounts, mentoring, and training programs intended to reduce barriers to entrepreneurship.

The initiative aligns with a wider recognition that military experience often translates well to franchise operations. Veterans typically possess skills in leadership, logistics, operational planning, accountability, and team management—all qualities that are central to managing standardized franchise systems across multiple locations.

The campaign also reflects an evolution in franchise marketing itself. Rather than emphasizing franchise brands alone, marketing agencies increasingly use storytelling to demonstrate how entrepreneurs build businesses within franchise ecosystems. This content-driven approach helps prospective franchisees evaluate business ownership through relatable experiences while strengthening employer and brand positioning.

From a marketing perspective, campaigns centered on authentic customer or franchisee experiences have become increasingly important as organizations seek to build credibility across digital channels. Storytelling has emerged as a significant component of content marketing strategies, particularly within franchise development, where purchasing decisions often involve extensive research and long sales cycles.

According to International Franchise Association, franchising continues to represent a substantial contributor to economic activity in the United States, supporting millions of jobs across industries ranging from food service and hospitality to professional services, healthcare, and information technology. At the same time, Statista reports continued interest in entrepreneurship and small business ownership as professionals seek alternative career paths and greater operational independence.

For marketers, Thunderly's campaign also illustrates how narrative-driven content can support brand positioning beyond traditional advertising. By focusing on franchise owners' personal journeys instead of promotional messaging, organizations can create content that resonates with audiences while reinforcing broader themes such as leadership, resilience, and community impact.

The campaign is part of Thunderly's year-long storytelling initiative inspired by America's upcoming 250th anniversary, highlighting entrepreneurs whose experiences reflect the pursuit of business ownership and economic opportunity. Throughout the year, the company plans to feature franchise owners from different industries, illustrating how franchising continues to serve as a vehicle for professional transition and local economic development.

As competition for franchise candidates intensifies, marketing strategies built around authentic experiences, community impact, and entrepreneurial success stories are likely to become increasingly important. For veterans exploring post-service careers, franchise systems remain an option that combines structured operational models with opportunities for independent business growth.

Market Landscape

Veterans remain an important talent pipeline for the franchise industry as franchisors seek experienced operators capable of leading teams and executing standardized business systems. Storytelling has also become a key marketing strategy for franchise recruitment, helping brands communicate business opportunities through authentic owner experiences rather than traditional promotional campaigns. As digital content marketing evolves, franchise organizations are investing more heavily in narrative-driven engagement to attract qualified entrepreneurs.

Strategic Outlook

Thunderly's campaign reflects broader changes in franchise marketing, where authentic storytelling is increasingly complementing lead generation and recruitment strategies. As franchisors compete for qualified candidates, especially veterans and experienced professionals, content highlighting real business outcomes and community impact is expected to play a larger role in franchise development and brand positioning.

Top Insights

• Thunderly's August campaign highlights military veterans who transitioned into franchise ownership, emphasizing leadership and operational skills developed during military service.
• Featured entrepreneurs represent industries including managed IT services and home services, demonstrating the diversity of franchise opportunities available to veterans.
• Programs such as VetFran continue supporting veteran entrepreneurship through training, financial incentives, and franchise recruitment initiatives.
• Narrative-driven franchise marketing is becoming increasingly important for attracting prospective franchisees through authentic business owner experiences.
• Veterans' expertise in leadership, accountability, and operational execution aligns closely with the structured business models used across franchise systems.

Get in touch with our MarTech Experts