As consumer brands seek greater transparency in AI-driven marketing decisions, causal AI is emerging as an alternative to traditional predictive models. Purchase intelligence provider Becausal has been named Overall Marketing Analytics Solution of the Year in the 2026 MarTech Breakthrough Awards while also earning a place in the NRF Europe Innovators Showcase, underscoring growing industry interest in analytics platforms that combine large-scale retail data with explainable AI.

Becausal has received two significant industry recognitions, winning the Overall Marketing Analytics Solution of the Year category in the 2026 MarTech Breakthrough Awards and being selected for the NRF Europe Innovators Showcase, an invitation-only program highlighting emerging retail technology innovators.

The announcements reflect increasing enterprise demand for marketing analytics platforms capable of delivering transparent, measurable insights rather than relying solely on opaque AI models. As brands navigate growing privacy expectations, fragmented retail data, and rising pressure to demonstrate marketing ROI, explainable analytics is becoming a strategic priority across the consumer packaged goods (CPG) industry.

At the center of Becausal's platform is what the company describes as the industry's largest deterministic CPG purchase dataset. According to the company, the platform analyzes more than 4 billion retail transactions generated by approximately 30 million monthly active shoppers across 300 consumer packaged goods categories. Instead of relying on a single retailer, consumer panel, or isolated data source, Becausal aggregates multiple independent purchase datasets into a unified purchase intelligence framework.

This approach addresses one of the longstanding limitations of retail analytics. Consumer purchasing behavior is increasingly distributed across multiple retailers, online marketplaces, loyalty programs, and commerce channels, making it difficult for brands to develop a complete understanding of customer behavior from a single dataset. By connecting multiple deterministic data sources into a standardized retailer and product taxonomy, the platform aims to provide a broader representation of purchasing activity.

A distinguishing feature of the platform is its use of causal AI rather than conventional predictive AI models.

Unlike predictive AI, which estimates likely outcomes based on historical patterns, causal AI identifies the factors that influence business outcomes and explains why a recommendation or audience segment was generated. This makes marketing decisions more transparent, easier to validate, and potentially more adaptable as consumer behavior changes.

Becausal's causal inference engine links every analytical output to observable purchase records, allowing marketers to trace audience creation, campaign optimization, and performance measurement back to deterministic transaction data. Because the system operates on continuously updated stored data rather than static trained models, marketers can incorporate new purchase information or remove outdated data without retraining AI models, enabling more responsive campaign optimization.

The company has also introduced ExtendedAudiences, which replaces conventional lookalike audience modeling with what it calls "act-alike" audiences. Rather than identifying consumers with similar demographic characteristics, the platform focuses on shoppers demonstrating comparable purchasing behaviors. Through its AuditableAI™ technology, marketers can visualize why audience members were selected and continuously refine targeting as deterministic purchase data evolves.

The recognition also aligns with broader developments across the marketing technology industry. Major enterprise software vendors including Google, Microsoft, Salesforce, Adobe, and Amazon continue expanding AI-powered analytics capabilities across advertising, commerce, and customer data platforms. At the same time, specialized analytics providers are differentiating themselves through explainable AI, retail media intelligence, and privacy-conscious measurement technologies designed for enterprise marketing teams.

Selection for the NRF Europe Innovators Showcase further positions Becausal within the retail technology ecosystem. The showcase features approximately 50 technology companies selected by an advisory committee comprising retail executives, venture investors, technology leaders, and analysts from organizations including Gap, H&M, dunnhumby, Bain Capital Ventures, Commerce Ventures, and Forrester. The company is expected to demonstrate its forthcoming CPG Data Store during NRF 2026: Retail's Big Show Europe in Paris.

Currently in closed beta, the CPG Data Store provides a self-service interface enabling brands to explore deterministic purchase intelligence across major U.S. retailers. The platform is designed to deliver visibility into brand performance, category trends, consumer purchasing behavior, and product-level insights that support marketing planning and merchandising decisions.

Industry research suggests the demand for explainable AI will continue to grow. According to Gartner, organizations are increasingly prioritizing trustworthy and transparent AI systems as generative AI adoption expands across enterprise software. Meanwhile, McKinsey & Company reports that companies combining advanced analytics with high-quality data governance are more likely to realize measurable business value from AI investments.

For enterprise marketing teams, the evolution of purchase intelligence represents more than an incremental analytics improvement. As retail media networks expand and omnichannel commerce becomes increasingly data-driven, marketers require platforms capable of connecting campaign performance directly with verified purchasing behavior. Solutions emphasizing deterministic data, causal reasoning, and explainable AI may become increasingly important as brands seek more accountable measurement frameworks.

Although industry awards recognize innovation rather than market leadership, Becausal's dual recognition highlights a broader shift toward transparent AI-powered marketing analytics. As organizations demand greater confidence in automated marketing decisions, platforms capable of combining deterministic purchase data with explainable intelligence are likely to play a growing role in enterprise marketing technology strategies.

Market Landscape

Marketing analytics is entering a new phase driven by explainable AI, deterministic data, and retail media growth. Gartner identifies trustworthy AI as a strategic priority for enterprise organizations, while McKinsey & Company emphasizes that organizations with strong data governance and advanced analytics capabilities achieve greater business value from AI initiatives. As CPG brands expand investments in retail media and omnichannel commerce, transparent purchase intelligence platforms are becoming increasingly important.

Top Insights

• Becausal's recognition reflects growing enterprise demand for explainable AI that connects marketing insights directly to deterministic consumer purchase data.
• Causal AI offers greater transparency than traditional predictive models by explaining why marketing recommendations and audience segments are created.
• Unified purchase intelligence across multiple retailers provides brands with broader consumer visibility than single-source retail or panel datasets.
• Retail media expansion is increasing demand for analytics platforms capable of linking advertising investments with verified purchase outcomes.
• Enterprise marketers are prioritizing trustworthy AI, measurable attribution, and continuously updated audience intelligence to improve campaign effectiveness.

Get in touch with our MarTech Experts

Artificial intelligence is rapidly transforming how enterprise organizations manage customer conversations, with voice agents becoming an increasingly important part of marketing, sales, and customer service operations. CTM, formerly known as CallTrackingMetrics, has been recognized with the "Call Management Solution of the Year" award in the 2026 MarTech Breakthrough Awards for its VoiceAI platform, highlighting the growing role of conversational AI in modern customer engagement.

CTM has been named the winner of the Call Management Solution of the Year category in the 2026 MarTech Breakthrough Awards, recognizing its VoiceAI platform for innovation in AI-powered call management and conversation intelligence. The annual awards program honors technology providers across the marketing, sales, advertising, and customer engagement ecosystem, reflecting the industry's accelerating adoption of AI-driven enterprise solutions.

The recognition comes as organizations increasingly seek to automate routine customer interactions while maintaining high-quality service experiences. AI-powered voice agents are evolving beyond simple interactive voice response (IVR) systems, enabling businesses to understand customer intent, automate repetitive workflows, and improve response times without sacrificing human oversight.

VoiceAI is built natively into CTM's conversation intelligence platform, combining call attribution, intelligent routing, conversational AI, and analytics within a unified environment. Instead of directing callers through traditional menu-based phone trees, the AI-powered voice agent answers calls immediately, identifies customer intent through natural language conversations, and either resolves requests autonomously or transfers them to the most appropriate human representative.

This approach reflects a broader evolution in enterprise customer engagement. Modern organizations increasingly expect communication platforms to unify voice, SMS, chat, and analytics while providing actionable insights that improve both customer experience and operational efficiency.

Beyond answering inbound calls, VoiceAI integrates with CTM's broader conversation intelligence capabilities. The platform automatically transcribes calls, analyzes sentiment, scores interactions, and applies intelligent tagging to identify customer concerns, objections, and follow-up opportunities. An embedded AI assistant, AskAI, further analyzes conversations to surface recurring themes and recommend next actions, helping sales and customer service teams prioritize high-value engagements.

The platform also supports outbound engagement workflows. When a qualified lead enters the system, VoiceAI can automatically initiate outbound calls as soon as an available representative is ready. Advanced voicemail detection enables personalized voice messages when contacts are unavailable, while integrated routing helps businesses continue conversations across voice, SMS, and chat channels.

For enterprise organizations, these capabilities support a growing shift toward conversational intelligence platforms that connect customer communications with operational analytics. Rather than treating calls as isolated events, businesses are increasingly using AI to extract insights that improve marketing attribution, sales performance, customer retention, and service quality.

According to CTM, early adopters of VoiceAI have reported measurable operational improvements, including a 50% reduction in call handling time, elimination of missed inbound calls, and productivity gains through workflow automation. While such performance metrics reflect customer experiences reported by the company, they also illustrate the increasing emphasis enterprise buyers place on measurable business outcomes when evaluating AI technologies.

The announcement aligns with broader enterprise AI trends. Major technology providers including Microsoft, Google, Amazon, Salesforce, and Adobe continue expanding investments in conversational AI, intelligent contact centers, and customer engagement platforms. Meanwhile, specialized providers such as CTM are focusing on industry-specific capabilities, including conversation analytics, call attribution, and AI-powered revenue intelligence.

Industry analysts have consistently identified conversational AI as a high-growth segment within enterprise software. Gartner expects AI-enabled customer service technologies to play an increasingly central role in digital customer engagement, while McKinsey & Company has reported that organizations deploying AI across customer operations can significantly improve productivity, response times, and customer satisfaction. As businesses manage growing communication volumes across multiple channels, AI-powered automation is becoming an operational necessity rather than an experimental technology.

The recognition also reflects changing expectations around enterprise call management. Traditional call centers were primarily designed to route inbound calls efficiently, whereas modern AI-powered engagement platforms focus on understanding context, preserving conversation history, and delivering actionable business intelligence. This evolution is helping marketing, sales, and customer service teams collaborate more effectively using shared customer insights.

For enterprise marketing teams, VoiceAI represents another example of how AI is reshaping customer engagement strategies. Marketing organizations increasingly rely on conversation analytics to evaluate campaign effectiveness, improve lead qualification, personalize follow-up communications, and better understand customer intent. Integrating AI-powered voice agents with broader marketing technology stacks enables organizations to connect customer conversations with revenue outcomes more effectively.

While the MarTech Breakthrough Awards recognize innovation rather than market leadership, CTM's recognition underscores the rapid evolution of AI-powered communication technologies. As enterprises continue investing in intelligent automation, platforms that combine conversational AI, analytics, and omnichannel engagement are expected to play an increasingly important role in the future of customer experience and marketing technology.

Market Landscape

Conversational AI is becoming a core component of enterprise marketing and customer engagement strategies. Gartner identifies AI-powered customer service as a major driver of digital transformation, while McKinsey & Company reports that AI-enabled customer operations can improve efficiency and customer satisfaction. As organizations adopt omnichannel communication strategies, platforms integrating voice, messaging, analytics, and AI are becoming central to modern MarTech ecosystems.

Top Insights

• CTM's VoiceAI demonstrates how conversational AI is evolving beyond traditional IVR systems into intelligent platforms capable of automating customer interactions and business workflows.
• AI-powered conversation analytics help marketing, sales, and customer service teams transform customer calls into actionable insights for revenue growth and operational improvement.
• Native integration of voice, SMS, chat, and AI analytics reflects growing enterprise demand for unified customer engagement platforms.
• Organizations are increasingly investing in conversational AI to reduce response times, improve lead conversion, and strengthen customer experience across digital channels.
• AI-powered voice agents are becoming strategic components of enterprise MarTech stacks as businesses prioritize automation without eliminating human oversight.

Get in touch with our MarTech Experts

Cleverbridge has introduced a new influencer marketing service aimed at software and SaaS companies, expanding its portfolio of growth solutions as enterprise buyers increasingly rely on trusted creators and industry experts during complex purchasing decisions.

The new offering integrates influencer marketing into Cleverbridge's existing demand generation services, which already include affiliate marketing, conversion rate optimization (CRO), and customer retention programs. The move reflects changing buyer behavior as organizations seek more authentic engagement channels amid rising digital advertising costs and evolving AI-powered search experiences.

Unlike traditional influencer campaigns that primarily target consumer products, Cleverbridge's solution focuses on enterprise software purchasing journeys, where buying decisions typically involve product research, technical validation, pricing evaluation, and multiple stakeholders before a purchase is finalized.

At the center of the offering is a partnership with Later, whose creator marketing platform provides access to more than 20 million creators worldwide. Through this collaboration, Cleverbridge enables software vendors to identify relevant creators, build influencer partnerships, and measure campaign performance as part of broader customer acquisition strategies.

The initiative also builds upon Cleverbridge's existing affiliate marketing ecosystem, which includes a network of more than 350,000 affiliate partners. By combining affiliate marketing with influencer campaigns, the company aims to help clients diversify acquisition channels while maintaining greater visibility into campaign attribution and return on investment.

One of the notable aspects of the new service is its flexibility. Organizations can choose between a fully managed model, where Cleverbridge oversees influencer strategy and campaign execution, or a self-managed approach that allows internal marketing teams to leverage the platform independently. Both models integrate influencer activity alongside affiliate marketing and digital commerce initiatives, giving organizations a consolidated view of performance across customer acquisition channels.

The expansion reflects broader changes taking place across B2B marketing. Enterprise buyers are increasingly conducting independent research before engaging with sales teams, consuming product reviews, technical demonstrations, peer recommendations, podcasts, YouTube content, newsletters, and professional social media discussions throughout the decision-making process.

Artificial intelligence is also reshaping software discovery. As AI-powered search engines and conversational assistants summarize information from multiple sources, third-party creator content has become increasingly influential in establishing product credibility. Software vendors are responding by investing in trusted voices that can provide authentic product education, technical walkthroughs, and independent perspectives.

According to Gartner, B2B buying groups now complete a significant portion of their purchasing journey before interacting directly with vendors, making educational content and third-party validation increasingly valuable. Forrester has similarly highlighted the growing importance of buyer-led research and digital self-service throughout enterprise purchasing cycles. Meanwhile, McKinsey & Company reports that organizations adopting data-driven, omnichannel marketing strategies consistently achieve stronger customer acquisition and engagement outcomes.

The introduction of influencer marketing also aligns with the evolution of modern revenue operations. Rather than viewing affiliate marketing, creator partnerships, paid media, and customer advocacy as separate programs, enterprises are increasingly integrating these channels into unified go-to-market strategies supported by shared customer data and performance analytics.

Cleverbridge operates in a competitive digital commerce ecosystem that includes commerce platforms, subscription management providers, affiliate networks, and marketing technology vendors. While companies such as Salesforce, Adobe, HubSpot, and Microsoft continue expanding AI-powered marketing capabilities, Cleverbridge is differentiating itself by combining digital commerce infrastructure with specialized growth services tailored for software vendors.

The partnership with Later further demonstrates how creator economy platforms are extending beyond traditional consumer marketing into enterprise technology sectors. Rather than focusing solely on social media reach, software companies increasingly seek creators capable of educating technical audiences, influencing buying committees, and supporting long-term customer trust.

For enterprise marketing teams, the announcement illustrates how influencer marketing is evolving into a measurable demand generation channel rather than a brand awareness tactic. When integrated with affiliate marketing, commerce analytics, and conversion optimization, creator partnerships can provide organizations with additional opportunities to improve customer acquisition efficiency while adapting to changing digital buying behaviors.

As AI continues transforming search, content discovery, and customer engagement, trusted creator relationships are expected to become an increasingly important component of enterprise marketing strategies. Cleverbridge's latest expansion reflects a broader industry trend toward diversified, data-driven demand generation built around authenticity, measurable performance, and integrated digital commerce.

Market Landscape

Enterprise demand generation is evolving beyond paid advertising as organizations diversify acquisition strategies through affiliate marketing, influencer partnerships, first-party customer data, and AI-powered personalization. Rising customer acquisition costs and changing search behavior are encouraging software vendors to invest in trusted creator ecosystems that support complex B2B buying journeys.

Technology companies including Google, Microsoft, Adobe, Salesforce, and creator marketing platforms such as Later continue expanding AI-powered marketing capabilities, making trusted content and cross-channel attribution increasingly important competitive advantages.

Top Insights

• Cleverbridge has expanded its growth services portfolio with influencer marketing, enabling software companies to integrate creator partnerships into enterprise demand generation strategies.
• The new service is powered by Later's creator marketing platform, providing access to more than 20 million creators for scalable B2B influencer campaigns.
• Organizations can combine influencer marketing with Cleverbridge's network of over 350,000 affiliate partners, creating unified performance tracking across multiple acquisition channels.
• AI-powered search and changing buyer behavior are increasing the value of trusted third-party content, making creator partnerships more relevant for enterprise software purchasing.
• Integrated influencer, affiliate, and commerce analytics help enterprise marketing teams optimize customer acquisition while improving attribution and conversion performance.

Get in touch with our MarTech Experts

Lob has been named Overall Marketing Automation Platform of the Year in the 2026 MarTech Breakthrough Awards, recognizing its cloud-based platform that automates direct mail campaigns with the same speed, personalization, and measurement capabilities commonly associated with digital marketing channels.

The award highlights a broader transformation in enterprise marketing, where organizations are integrating physical customer engagement into modern marketing automation strategies instead of treating direct mail as a standalone offline channel.

Marketing automation platforms traditionally excel at orchestrating digital touchpoints such as email, SMS, paid media, and customer journeys. Lob extends those capabilities into physical mail by enabling marketers to create, personalize, trigger, deliver, and measure direct mail campaigns through a centralized software platform.

At the center of the platform is an automation engine that allows organizations to trigger personalized mail based on customer behavior. Instead of scheduling mass mail campaigns weeks in advance, businesses can automatically send postcards, letters, or promotional materials when customers abandon shopping carts, reach loyalty milestones, renew subscriptions, or exhibit churn signals.

The platform supports API-driven workflows alongside no-code integrations, allowing marketing teams to connect customer relationship management (CRM) systems, marketing automation platforms, and customer data sources without extensive development work. Personalized messaging can incorporate customer attributes, dynamic creative, and conditional business logic, enabling direct mail to function similarly to email marketing or digital advertising campaigns.

Lob differentiates itself by combining software automation with its nationwide Print Delivery Network, an operational infrastructure that manages print production, routing, postal entry, and delivery optimization through a coordinated logistics ecosystem. Rather than requiring organizations to coordinate multiple print vendors, fulfillment providers, and mailing services, the platform centralizes campaign execution within a single workflow.

A key component of the infrastructure is Postal IQ, Lob's intelligent routing technology. The system dynamically determines the most efficient postal entry point for each mail piece based on delivery destination, helping reduce transit times while improving eligibility for postal discounts. By entering mail closer to its final destination, organizations can shorten delivery windows and better synchronize direct mail with real-time customer behavior.

This operational capability is becoming increasingly important as marketers seek consistent omnichannel experiences. Trigger-based direct mail campaigns tied to customer actions—such as abandoned carts, product recommendations, or customer retention initiatives—require predictable delivery timelines to remain relevant. Logistics optimization therefore becomes as important as marketing automation itself.

Another differentiator is the platform's closed-loop analytics, which provide visibility from print production through final delivery. This enables marketers to monitor campaign performance using measurable operational events instead of relying solely on estimated delivery dates. The result is a more data-driven approach to direct mail optimization that aligns with modern performance marketing practices.

The announcement reflects wider industry trends reshaping enterprise marketing technology. As privacy regulations reduce reliance on third-party cookies and digital advertising becomes more competitive, brands are increasingly investing in owned channels and first-party customer engagement strategies. Automated direct mail offers organizations another personalized communication channel while leveraging customer data already available within CRM and customer data platforms.

According to Gartner, marketing leaders continue expanding investments in omnichannel customer engagement technologies that improve personalization and campaign orchestration. Forrester has similarly identified cross-channel customer journey management as a priority for enterprise marketers seeking consistent experiences across digital and offline interactions. Meanwhile, McKinsey & Company reports that organizations delivering highly personalized customer experiences consistently outperform competitors in customer acquisition and revenue growth.

Lob operates within an increasingly competitive marketing automation landscape that includes enterprise platforms such as Salesforce Marketing Cloud, Adobe Experience Cloud, HubSpot, Braze, and Iterable. While those vendors primarily focus on digital engagement channels, Lob differentiates itself by extending marketing automation principles into physical direct mail through integrated logistics, delivery intelligence, and campaign measurement.

The platform also integrates with existing CRM and marketing ecosystems, enabling organizations to orchestrate direct mail alongside digital campaigns rather than managing separate customer engagement strategies. This interoperability is becoming increasingly valuable as enterprises build unified MarTech stacks centered around first-party customer data and AI-driven personalization.

For enterprise marketing teams, Lob's industry recognition underscores an important evolution in marketing automation. Rather than viewing direct mail as a traditional advertising medium, organizations are increasingly treating it as another programmable engagement channel that can be personalized, triggered, optimized, and measured using the same customer intelligence powering modern digital marketing.

Market Landscape

Marketing automation platforms are evolving beyond digital communications to orchestrate unified customer experiences across email, mobile, advertising, web personalization, and direct mail. As enterprises invest in first-party data strategies and AI-powered customer journeys, automated physical marketing channels are becoming an increasingly valuable component of omnichannel engagement.

Technology providers including Salesforce, Adobe, Microsoft, Google, and Amazon continue expanding AI-driven customer engagement capabilities, while specialized platforms such as Lob are redefining how offline marketing integrates with enterprise MarTech ecosystems.

Top Insights

• Lob received the 2026 MarTech Breakthrough Award for Overall Marketing Automation Platform of the Year, recognizing innovation in automated direct mail technology.
• The platform enables marketers to trigger personalized direct mail based on real-time customer behavior, bringing digital marketing automation principles into physical customer engagement.
• Lob's nationwide Print Delivery Network and Postal IQ routing intelligence improve delivery speed, operational efficiency, and campaign timing for enterprise marketers.
• Closed-loop analytics provide end-to-end campaign visibility from print production through delivery, enabling measurable optimization comparable to digital marketing channels.
• The growing convergence of customer data, AI-driven personalization, and omnichannel automation is transforming direct mail into a strategic enterprise marketing channel.

Get in touch with our MarTech Experts

Experiential marketing is becoming a strategic tool for enterprise technology companies seeking to introduce new platform categories and strengthen customer engagement. Authenticom Group has been recognized with an Emerald Award at the 2026 Pinnacle Awards for Marketing & Communications for its Formula 1-inspired campaign at NADA Show 2026, where the company introduced Data Experience Management (DXM), a framework designed to help automotive organizations manage, govern, and maximize the value of their data.

Authenticom Group has received an Emerald Award in the Experiential Marketing Campaign category at the 2026 Pinnacle Awards for Marketing & Communications, recognizing its integrated brand campaign at NADA Show 2026. The campaign combined physical experiences, digital engagement, and product storytelling to introduce Data Experience Management (DXM), a new category developed by the company to address growing data management challenges across the automotive ecosystem.

The recognition highlights how enterprise technology vendors are increasingly using immersive experiences to communicate complex technology concepts. Rather than relying solely on traditional product demonstrations, Authenticom Group designed a multi-channel campaign intended to connect brand messaging with practical discussions around automotive data governance, connectivity, analytics, and customer experience.

The campaign began before the event through coordinated social media initiatives, executive podcast appearances, and personalized email outreach encouraging attendees to schedule meetings ahead of the Las Vegas conference. This early engagement strategy reflected a broader trend in B2B event marketing, where organizations extend campaigns beyond exhibition floors to create continuous customer journeys.

At NADA Show 2026, Authenticom expanded the Formula 1 theme across multiple touchpoints. Visitors encountered an Authenticom-branded Formula 1 race car displayed on the Sky Bridge, branded escalator graphics leading into the exhibition hall, and a booth featuring pit crew-inspired uniforms, dual video walls, product demonstrations, executive interviews, live podcast recordings, and a WebAR Pit Pass experience. Together, these activations formed a unified narrative centered on speed, precision, and operational performance.

The centerpiece of the campaign was the introduction of Data Experience Management (DXM). According to Authenticom, DXM is designed as a framework for helping dealerships, automotive manufacturers, technology providers, and software vendors securely connect, govern, improve, measure, and predict outcomes using enterprise automotive data.

The framework is organized around five core solution areas—Connect, Drive, Transform, Measure, and Predict—that collectively address different stages of the automotive data lifecycle. These capabilities are intended to help organizations improve data quality, strengthen governance, gain real-time customer insights, and identify operational risks before they affect business performance.

From a marketing technology perspective, DXM reflects a broader movement toward unified enterprise data management. As organizations adopt connected digital ecosystems spanning customer relationship management (CRM), dealership management systems, marketing platforms, and analytics tools, maintaining trusted and accessible data has become increasingly important for operational efficiency and customer engagement.

Industry analysts have consistently identified data quality as a significant challenge for enterprise organizations. According to Gartner, poor data quality continues to undermine analytics initiatives and AI adoption, while McKinsey & Company has reported that organizations with strong data governance practices are better positioned to scale digital transformation and improve business performance. These trends are driving greater investment in platforms that integrate data management, governance, and operational intelligence.

The award also illustrates how experiential marketing itself is evolving. Enterprise technology companies are increasingly blending physical events with digital engagement, interactive content, augmented reality, and executive thought leadership to create cohesive customer experiences. Instead of treating conferences as isolated marketing opportunities, organizations are extending campaigns across multiple channels before, during, and after major industry events.

Major enterprise software companies including Salesforce, Adobe, Microsoft, and Google have similarly expanded their use of experiential marketing at industry conferences, integrating live demonstrations, AI-powered experiences, and digital storytelling to showcase increasingly complex technology portfolios. Authenticom's Formula 1 campaign aligns with this broader industry shift by combining immersive brand experiences with product education and category development.

For automotive technology providers, the introduction of DXM may also reflect changing enterprise priorities. Automotive organizations are managing increasing volumes of connected vehicle data, dealership information, customer engagement metrics, and operational analytics. Platforms that unify data governance with actionable business insights could become increasingly relevant as dealerships and manufacturers modernize their digital infrastructure.

Although the Pinnacle Awards recognize excellence in marketing strategy and execution rather than product performance, the recognition demonstrates how experiential campaigns are becoming an important mechanism for introducing emerging technology categories. As enterprise software vendors compete to establish leadership in evolving markets, combining immersive customer engagement with clear technology narratives is likely to remain a defining characteristic of modern B2B marketing.

Market Landscape

Experiential marketing is becoming an increasingly strategic component of enterprise technology launches. Research from Forrester shows that B2B buyers now engage across multiple digital and physical channels before making purchasing decisions, while Gartner continues to emphasize trusted data as a foundation for digital transformation and AI initiatives. As organizations invest in connected customer experiences, data governance and integrated enterprise platforms are emerging as competitive differentiators across the automotive technology sector.

Top Insights

• Authenticom Group's award-winning campaign demonstrates how experiential marketing is evolving into a strategic channel for introducing enterprise technology categories and educating complex B2B audiences.
• Data Experience Management (DXM) positions enterprise data governance, connectivity, analytics, and operational intelligence within a unified framework for automotive organizations.
• Combining physical event experiences with digital engagement, podcasts, WebAR, and executive thought leadership reflects the growing importance of omnichannel B2B marketing strategies.
• Automotive enterprises continue prioritizing trusted, governed data as digital transformation accelerates across dealerships, OEMs, and connected mobility ecosystems.
• Enterprise technology vendors are increasingly using immersive brand experiences to simplify complex product narratives and strengthen customer engagement before, during, and after industry events.

Get in touch with our MarTech Experts

As B2B marketers demand more accurate ways to measure advertising performance, campaign analytics is moving beyond consumer-style metrics toward account-level intelligence. Bombora has been named "Marketing Insights Platform of the Year" in the 2026 MarTech Breakthrough Awards, recognizing its B2beacon™ platform for addressing one of enterprise marketing's persistent challenges: measuring B2B advertising performance based on accounts and buying groups instead of individual users.

Bombora has been recognized as the Marketing Insights Platform of the Year in the 2026 MarTech Breakthrough Awards, highlighting growing industry demand for analytics platforms purpose-built for B2B advertising. The annual awards program, organized by MarTech Breakthrough, evaluated more than 4,300 nominations from marketing, advertising, and sales technology providers before announcing this year's winners.

The recognition centers on B2beacon™, Bombora's campaign measurement platform designed to provide account-based visibility across programmatic advertising environments. Unlike traditional digital measurement tools that focus primarily on individual users, cookies, or pixel-based attribution, B2beacon measures campaign reach and engagement at the account and buying-group level—metrics increasingly viewed as more meaningful for enterprise B2B organizations.

The announcement reflects a broader transformation in marketing analytics. As enterprise buying decisions become more collaborative and involve multiple stakeholders, marketers are rethinking how campaign success should be measured. Rather than optimizing solely for clicks or impressions, many organizations are prioritizing account engagement, buying committee activity, and pipeline influence.

B2beacon was developed to address these evolving requirements. Instead of relying on website tags or tracking pixels, the platform uses log-level integrations with leading demand-side platforms (DSPs) and supply-side platforms (SSPs). According to Bombora, this architecture enables an impression match rate exceeding 90%, helping marketers gain broader visibility into campaign delivery across fragmented advertising ecosystems.

The platform measures key engagement indicators—including impressions, clicks, and video views—at both the account and buying-group levels. These insights are intended to help B2B advertisers understand how campaigns influence target organizations rather than individual contacts, aligning measurement more closely with account-based marketing (ABM) strategies and long enterprise sales cycles.

Another differentiator is deployment. Bombora says B2beacon requires no tag implementation, dedicated platform subscription, or extensive onboarding process. Instead, marketers can activate measurement on individual campaigns within existing workflows, reducing operational complexity while accelerating adoption.

The platform currently supports major programmatic advertising ecosystems, including Google DV360, The Trade Desk, Amazon DSP, Yahoo DSP, and OpenX. By integrating across multiple advertising platforms, B2beacon provides unified reporting that enables advertisers to compare campaign performance across channels and audiences without relying on disconnected analytics systems.

The recognition also underscores the growing importance of first-party and privacy-conscious measurement strategies. As third-party cookies continue to decline and privacy regulations reshape digital advertising, enterprise marketers are investing in solutions that depend less on browser tracking and more on deterministic account-level intelligence. This shift is driving renewed interest in B2B-specific analytics platforms capable of connecting advertising activity with pipeline generation and revenue outcomes.

Competition in the marketing measurement sector has intensified over the past two years. Enterprise software providers including Google, Adobe, Salesforce, and Microsoft have expanded analytics and AI capabilities within their marketing clouds, while independent MarTech vendors continue developing specialized measurement platforms focused on attribution, intent data, and account intelligence. Bombora's positioning centers on serving enterprise B2B organizations whose buying journeys differ significantly from consumer purchasing behavior.

Industry analysts have consistently highlighted measurement and attribution as critical priorities for marketing leaders. According to Gartner, demonstrating marketing's contribution to business outcomes remains one of the top challenges facing CMOs. Meanwhile, Forrester research indicates that B2B buying decisions increasingly involve multiple stakeholders, reinforcing the need for analytics platforms capable of measuring engagement across entire buying groups rather than individual prospects.

For enterprise marketing teams, the evolution of campaign measurement has practical implications. Marketing leaders are under increasing pressure to demonstrate pipeline contribution, justify advertising investments, and optimize media spending across increasingly complex digital ecosystems. Platforms capable of linking advertising exposure to account engagement may offer a more actionable framework than traditional consumer-focused performance metrics.

The award also highlights the broader evolution of account-based marketing. As ABM strategies mature, measurement is becoming as important as audience targeting. Organizations increasingly require analytics that help sales and marketing teams evaluate campaign effectiveness against shared revenue objectives rather than isolated marketing KPIs.

While industry awards are not direct indicators of market leadership, Bombora's recognition illustrates how marketing analytics is evolving toward account-centric intelligence. As AI-driven campaign optimization, intent data, and revenue attribution become more integrated, enterprise marketers are likely to place greater emphasis on measurement platforms capable of delivering unified visibility across increasingly fragmented advertising environments.

Market Landscape

Marketing measurement is undergoing significant transformation as enterprise organizations shift from individual-level attribution toward account-based analytics. Gartner identifies measurement, ROI, and data quality among the top priorities for marketing leaders, while Forrester research shows that modern B2B purchasing decisions involve multiple stakeholders across extended buying cycles. These trends are accelerating investment in platforms that integrate advertising data, intent signals, and AI-powered analytics to improve campaign performance and business outcomes.

Top Insights

• Bombora's recognition highlights the industry's shift from consumer-style campaign metrics toward account-based measurement that better reflects complex B2B purchasing behavior.
• B2beacon uses log-level integrations instead of traditional tracking pixels, helping enterprise marketers improve campaign visibility across multiple advertising platforms.
• Support for major DSPs including Google DV360, The Trade Desk, Amazon DSP, Yahoo DSP, and OpenX enables unified cross-platform campaign analytics.
• As privacy regulations reshape digital advertising, account-level measurement platforms are becoming increasingly important for enterprise marketing and revenue attribution.
• Marketing leaders are prioritizing analytics that connect advertising performance with pipeline generation, buying-group engagement, and measurable business outcomes.

Get in touch with our MarTech Experts

Intentsify has been named Customer Data Solution of the Year in the 2026 MarTech Breakthrough Awards, recognizing its unified customer intelligence platform that combines identity resolution, intent data, audience activation, and buying group analytics. The award reflects a broader shift in B2B marketing, where organizations are increasingly replacing fragmented datasets with centralized customer intelligence platforms capable of powering marketing, sales, and AI-driven workflows.

Customer data platforms have evolved beyond simple contact databases. Today's enterprise GTM teams require connected data that helps identify active buyers, prioritize sales opportunities, personalize campaigns, and activate audiences across digital advertising channels. Intentsify's platform addresses this need by consolidating multiple data sources into a single identity graph that supports the entire B2B revenue lifecycle.

At the core of the platform is an identity graph that combines intent signals, verified contact information, firmographic attributes, technographic insights, digital engagement data, and business event intelligence into unified buying group profiles. Rather than maintaining separate datasets for advertising, demand generation, and sales, the platform enables every GTM function to operate from the same customer intelligence foundation.

Identity graphs have become increasingly valuable as enterprise buying decisions involve multiple stakeholders instead of individual decision-makers. By identifying relationships among members of buying committees, organizations can better understand purchasing intent and deliver more relevant engagement throughout the customer journey.

Intentsify has also strengthened its customer data capabilities through strategic acquisitions. The recent acquisition of Salutary Data expanded the platform with more than 150 million verified B2B contact profiles and additional identity validation capabilities. Earlier, the acquisition of 5x5 enhanced identity resolution using a member-driven, continuously updated dataset. Together, these acquisitions expand the platform's data accuracy while reinforcing a unified intelligence layer for downstream marketing and sales activities.

The company says its identity graph now processes more than 1.1 trillion monthly intent signals across nine data sources while leveraging five billion mobile advertising IDs, over 203 million IP addresses, and information on approximately 12,000 tracked technologies. This scale enables organizations to identify emerging buying intent while distinguishing between early-stage research activity and purchase-ready demand.

One of the platform's key capabilities is Buying Group Intent, which analyzes research behavior across multiple stakeholders within target accounts instead of focusing solely on individual prospects. The approach helps marketers identify influential decision-makers, understand where accounts are in the purchasing journey, and tailor messaging according to each participant's role and buying stage.

Beyond analytics, Intentsify extends customer intelligence directly into audience activation. The platform includes more than 700 pre-built B2B audience segments spanning intent signals, firmographics, technographics, personas, and business events. These audiences can be activated through advertising platforms including The Trade Desk and Google Display & Video 360 (DV360), allowing marketers to align advertising with the same data supporting demand generation and sales prioritization.

This convergence of customer intelligence and media activation reflects a broader trend across enterprise marketing technology. Organizations increasingly seek integrated platforms that reduce data fragmentation while enabling consistent targeting across digital advertising, marketing automation, account-based marketing, and revenue operations.

According to Gartner, organizations continue prioritizing first-party customer data and AI-powered decision intelligence as foundational capabilities for modern marketing. Forrester has likewise emphasized that revenue teams increasingly depend on unified customer data to improve account engagement and buying group orchestration. Meanwhile, McKinsey & Company reports that companies excelling in data-driven personalization can significantly outperform peers in revenue growth, reinforcing the strategic importance of high-quality customer intelligence.

Intentsify operates within a competitive ecosystem that includes providers such as ZoomInfo, 6sense, Demandbase, Bombora, and enterprise customer data platforms from Salesforce, Adobe, and Microsoft. While many vendors specialize in individual capabilities such as intent data or account intelligence, Intentsify differentiates itself by combining identity resolution, buying group intelligence, AI-enhanced scoring, and media activation within a unified GTM platform.

For enterprise marketing leaders, the recognition highlights a growing shift toward intelligence-driven go-to-market strategies. As AI agents, predictive analytics, and marketing automation become more deeply embedded within enterprise workflows, unified customer data is emerging as the foundation that enables accurate targeting, personalized engagement, and measurable revenue outcomes.

Rather than treating intent data as a standalone marketing signal, modern organizations increasingly view customer intelligence as enterprise infrastructure connecting marketing, sales, advertising, and AI-powered decision-making. Intentsify's latest industry recognition underscores how unified identity graphs are becoming central to the next generation of B2B marketing technology.

Market Landscape

The customer data market is rapidly evolving from standalone intent data providers toward unified intelligence platforms that combine identity resolution, buying group analytics, AI-powered scoring, and audience activation. As enterprises invest in account-based marketing and AI-driven GTM strategies, centralized customer intelligence has become essential for improving personalization, campaign performance, and revenue efficiency.

Technology leaders including Salesforce, Adobe, Microsoft, Google, and specialized providers such as The Trade Desk continue expanding AI-powered customer data capabilities, making identity quality and interoperability key competitive differentiators.

Top Insights

• Intentsify earned the 2026 MarTech Breakthrough Award for Customer Data Solution of the Year, recognizing its unified identity graph and AI-powered B2B customer intelligence platform.
• Strategic acquisitions of Salutary Data and 5x5 significantly expanded verified contact data and identity resolution capabilities, strengthening Intentsify's unified customer intelligence foundation.
• The platform processes over 1.1 trillion monthly intent signals, enabling enterprise marketers to identify buying groups and personalize engagement across the customer journey.
• Integrated audience activation through platforms such as The Trade Desk and DV360 allows marketers to align advertising with sales and demand generation using consistent customer intelligence.
• Unified customer data is becoming foundational infrastructure for AI-driven marketing automation, predictive analytics, and modern enterprise go-to-market strategies.

Get in touch with our MarTech Experts

NetApp has acquired JetStream Software, a provider of VMware disaster recovery and migration technology, as the intelligent data infrastructure vendor expands its enterprise cyber resilience and cloud data protection capabilities. The acquisition reflects growing enterprise demand for solutions that simplify cloud migration while ensuring business continuity for increasingly AI-driven workloads.

Although financial terms of the transaction were not disclosed, the deal positions NetApp to strengthen its portfolio for organizations running VMware environments across both NetApp and third-party storage infrastructure.

The acquisition comes as enterprises continue balancing AI investments with infrastructure modernization. While organizations increasingly adopt public cloud services, many continue operating critical applications in VMware environments that require reliable disaster recovery, replication, and migration capabilities before broader cloud transformation initiatives can move forward.

JetStream Software has built its reputation around enabling enterprises to replicate, recover, and migrate VMware workloads with minimal operational disruption. By integrating these capabilities into its portfolio, NetApp aims to provide organizations with greater flexibility to protect applications, recover data quickly, and migrate workloads to cloud environments on their own timelines.

For enterprise IT and infrastructure teams, disaster recovery is often the first stage of cloud adoption. Instead of immediately relocating production systems, businesses typically establish recovery environments in the cloud to improve resilience before gradually shifting mission-critical applications. JetStream's technology supports this phased migration strategy by reducing operational complexity while maintaining application availability.

The acquisition also broadens NetApp's reach beyond its existing storage ecosystem. JetStream's platform enables protection of VMware environments operating on virtually any storage infrastructure, allowing customers to recover workloads using NetApp cloud storage services, including Azure NetApp Files. This approach extends NetApp's addressable market by supporting organizations that have not standardized exclusively on NetApp storage systems.

NetApp's existing SnapMirror replication technology remains its preferred solution for customers already running NetApp storage. JetStream complements rather than replaces that capability by extending disaster recovery support to VMware deployments operating across heterogeneous storage environments. The combined portfolio enables enterprises to manage business continuity across hybrid infrastructure without requiring wholesale storage platform changes.

The announcement aligns with broader enterprise infrastructure trends. Organizations are increasingly seeking unified platforms capable of combining storage management, cyber resilience, cloud migration, and AI-ready data services instead of deploying separate point solutions for each requirement.

According to Gartner, cyber resilience has become a strategic investment area as ransomware attacks and operational disruptions continue influencing infrastructure spending decisions. Meanwhile, IDC projects worldwide spending on digital transformation initiatives to exceed trillions of dollars over the coming years, with cloud infrastructure, AI platforms, and intelligent data management representing key investment priorities.

NetApp's acquisition reflects these evolving priorities. As generative AI applications generate larger volumes of enterprise data, organizations require storage infrastructure that not only scales efficiently but also protects data availability and enables rapid recovery during outages or cyber incidents. Modern AI initiatives depend on continuous access to trusted, high-quality datasets, making resilience an increasingly important competitive differentiator.

The deal also strengthens NetApp's competitive positioning against enterprise infrastructure providers including Dell Technologies, Hewlett Packard Enterprise, IBM, Pure Storage, and cloud-native data management vendors. At the same time, the acquisition reinforces partnerships within hyperscale cloud ecosystems such as Microsoft Azure, where Azure NetApp Files has become a key managed storage service for enterprise workloads.

For enterprise customers, the acquisition is less about adding another migration tool and more about simplifying long-term infrastructure modernization. Organizations increasingly want solutions that integrate disaster recovery, workload mobility, cyber resilience, and cloud storage into a unified operational framework rather than managing multiple disconnected technologies.

As AI adoption accelerates across industries, resilient data infrastructure is becoming foundational to enterprise operations. NetApp's investment in JetStream Software illustrates how infrastructure vendors are evolving beyond traditional storage management toward intelligent platforms capable of protecting, mobilizing, and optimizing enterprise data wherever workloads reside.

Market Landscape

The enterprise infrastructure market is rapidly converging around AI-ready data platforms that combine storage, cyber resilience, cloud migration, and workload mobility. As organizations modernize VMware environments and adopt hybrid cloud architectures, vendors are increasingly integrating disaster recovery, replication, and intelligent data management into unified platforms.

Competition continues to intensify among NetApp, Dell Technologies, Hewlett Packard Enterprise, IBM, Pure Storage, and hyperscale cloud providers including Microsoft Azure, Google Cloud, and Amazon Web Services (AWS), all of which are expanding AI infrastructure and enterprise data protection capabilities.

Top Insights

• NetApp's acquisition of JetStream Software strengthens its enterprise cyber resilience portfolio by adding VMware disaster recovery and migration capabilities for hybrid and multi-cloud environments.
• The combined technologies enable organizations to protect VMware workloads across third-party storage platforms while leveraging NetApp cloud storage services for disaster recovery.
• Enterprises increasingly view disaster recovery as the first phase of cloud modernization, reducing migration risk before moving production workloads to public cloud infrastructure.
• AI adoption is driving demand for intelligent data infrastructure that combines storage management, cyber resilience, cloud mobility, and operational continuity within unified enterprise platforms.
• The acquisition enhances NetApp's competitive position as enterprise customers prioritize integrated infrastructure over fragmented storage and disaster recovery solutions.

Get in touch with our MarTech Experts