Revenue Operations News

The average enterprise now has every martech tool it could ask for, yet most still say stack complexity and integration are the primary blockers to realizing value, according to Demand Gen Report.

CMOs and CIOs have spent the last decade building increasingly sophisticated martech ecosystems by adding customer data platforms for personalization, journey tools for orchestration, AI for optimization, and new analytics for attribution. Most martech stacks are not the real problem. The architecture underneath them is.

Zig.ai added AI agents to its autonomous sales platform to handle lead generation, prospect research, qualification and outreach for sales reps.

Zig.ai is now offering an artificial intelligence agent team to its fully autonomous sales platform. The agents add automated lead generation, research and outreach to a system built to run every stage of a rep’s sales motion.

At Snowflake Summit '26, Snowflake positioned itself as a System of Intelligence for enterprises by integrating AI agents, governance, customer data, and business operations.

Snowflake rebranded AI offerings and introduced CoWork and CoCo as building blocks for AI-powered workflows. It also launched Cortex Sense, a context layer that supplies AI systems with company-specific language, processes, and business rules.

Insider One acquired Bluecore, a retail MarTech serving more than 400 U.S. enterprise brands.

Insider One acquired Bluecore to strengthen its data infrastructure and expand autonomous customer engagement for enterprise retail brands. Bluecore’s Transparent ID Network adds retail identity coverage and shopper event data to support Insider One’s AI-driven engagement platform. Bluecore processes over 10 billion daily shopper events.

The acquisition strengthens Insider One’s global footprint and accelerates expansion across North America.

At Snowflake Summit '26 the company positioned itself as a System of Intelligence that combines AI agents, governance, customer data, and business operations in one environment.

Snowflake rebranded several AI offerings and introduced CoWork and CoCo as building blocks for AI-powered workflows. It also launched Cortex Sense, a context layer that supplies AI systems with company-specific language, processes, and business rules.

Vibe coding allows more people to build software through natural-language prompts instead of traditional programming, accelerating experimentation and delivery across marketing technology teams.

According to [MarTech](https://martech.org/how-to-make-vibe-coding-sustainable-inside-the-enterprise/), organizations must still secure, maintain, validate, and document all shipped software regardless of generation method.

Using AI for vibe coding moves accountability from code writing to review, validation, and governance.

insightsoftware adopted Lusha to address insufficient EMEA contact coverage from its existing global sales intelligence platform. The company, which connects CFOs across finance, accounting and operations, saw its EMEA BDR teams double pipeline ROI within two weeks according to [Demand Gen Report](https://www.demandgenreport.com/case-studies/from-limited-contact-coverage-to-closed-deals-insightsoftwares-lusha-success/53107/).

When Andrew Knox joined as Director of Business Development for EMEA, both the net-new BDR team and the client-focused...

Vibe coding lets more people build software through natural-language prompts instead of traditional programming. This approach speeds experimentation and delivery for marketing technology teams. Organizations must still secure, maintain, validate, and document the software they ship, according to [MarTech](https://martech.org/how-to-make-vibe-coding-sustainable-inside-the-enterprise/).

AI tools generate code faster than humans can write it. The accelerated pace removes time for teams to clarify project goals and requirements before delivery.

A recent poll at the May edition of The MarTech Conference revealed that almost all attendees said they were not at all confident in their ability to succeed in a cookieless world.

Discussions on first-party data often focus on risk mitigation, consent banners, and legal frameworks. According to MarTech, compliance remains a baseline rather than a full strategy for activation across the B2B journey.

Content marketing centers on building trust.

Wurl's CTV Trends Report finds that broad genre and channel exclusions cause advertisers to miss FAST news audiences. The report states that scene-level contextual targeting evaluates content immediately before ad breaks.

News accounts for 8.6% of all FAST viewing hours according to the report. Devices that spend more than 90% of time on news represent 7.4% of viewing hours across all FAST genres.

A recent panel at the May edition of The MarTech Conference found that almost all attendees said they were not at all confident in their ability to succeed in a cookieless world, according to [MarTech](https://martech.org/how-to-activate-first-party-data-across-the-b2b-journey/).

Many first-party data conversations remain limited to risk mitigation, consent banners, and legal frameworks. Compliance is treated as a required baseline rather than a complete strategy.

Salesforce unveiled a new set of agentic marketing tools at its Connections event in Chicago. The tools automate portions of the marketing workflow including prospect identification, content creation, campaign launches and performance optimization.

Salesforce highlighted two agents from Qualified. Piper identifies and qualifies inbound website visitors around the clock before routing prospects to sales teams. Hunter identifies potential contacts, initiates outreach and runs email nurture sequences.

Agentforce Content Agent is now in pilot.

Sixty-five percent of Americans used AI search in the past six months, yet only 15% said they trust it a lot, according to research from Yelp cited in MarTech. This usage-trust difference appears in both consumer and B2B contexts.

In B2B software buying, 53% of buyers said AI search made software research more productive than traditional search, according to G2’s 2026 AI Search Insight Report. Buyers who once needed weeks to compare vendors can now use AI chatbots to get a usable synthesis in minutes.

Nectar Social raised a $30 million Series A round led by Menlo Ventures and its Anthology Fund. The company simultaneously rebranded as Nectar Agent according to [Demand Gen Report](https://www.demandgenreport.com/industry-news/news-brief/nectar-social-raises-30m-rebrands-itself-as-nectar-agent/53121/). The round also included participation from True Ventures, GV, and Kinship Ventures.

Nectar Agent operates as an autonomous AI system for social intelligence, community engagement, creator workflows, and conversational commerce.

10Fold surveyed 400 B2B technology marketing decision makers and found that 52% now rank AI-generated search and answer engines as their top content distribution channel.

The Visibility Reset: How AI Search Is Changing B2B Content Strategy report stated that AI-generated search and answer engines took the top slot from SEO. Search is no longer limited to traditional search engine results pages.

Sixty-five percent of Americans used AI search in the past six months, yet only 15% said they trust it a lot, according to research from Yelp cited in [MarTech](https://martech.org/can-marketers-navigate-ai-searchs-trust-cliff/). Consumers apply AI tools to compare products, research vendors, and narrow options despite the trust shortfall.

B2B revenue teams now deploy CRMs, marketing automation platforms, ABM tools, sales enablement software, and AI-powered forecasting engines, yet many organizations report that results lag behind the level of investment. The CRM remains half-populated, automation sequences run without monitoring, and AI features stay toggled off since implementation, according to Demand Gen Report.

Research from Netguru found that companies lose 20 to 30% of annual revenue due to disconnected data across CRM, ERP, and other systems.

A MarTech article states that effective measurement depends on connecting signals across MMM, attribution, and incrementality instead of forcing a single source of truth.

According to [MarTech](https://martech.org/why-marketing-measurement-needs-triangulation/), MMM evaluates overall business contribution and media mix allocation. Attribution focuses on user-level interactions and conversion paths. Incrementality measures whether marketing exposure actually influenced consumer behavior.

The 2026 B2BMX Summer Camp will run July 15 through July 30 as a multi-week virtual series instead of a single-day event. The program focuses on practical B2B marketing execution with sessions covering AI, ABM, buyer influence, trust in marketing and AI-native go-to-market workflows.

B2BMX Summer Camp will release new sessions every Wednesday. Attendees can participate live or access recordings on demand.

Amazon Ads and LinkedIn have launched a collaboration that allows advertisers to activate LinkedIn CTV Ads through Amazon DSP.

Advertisers can now reach professional audiences with LinkedIn’s Connected TV Ads through Amazon DSP, bringing LinkedIn’s first-party audience signals from more than one billion members to streaming TV inventory.

Salesforce signed a definitive agreement to acquire Contentful. The company plans to combine the platform with its Data 360 and Agentforce offerings to deliver personalized, AI-assembled experiences at scale across channels.

Many enterprises currently rely on static, channel-specific content.

MarTech reports that most brand teams rely on dashboards, weekly reports, and periodic social feed checks for competitor tracking. These systems surface what happened last week but do not identify shifts or openings. Social listening tools count mentions and score sentiment after activity occurs.

AI changes the scope by tracking messaging shifts, audience sentiment themes, content strategy changes, and positioning gaps across more competitors daily.

Nearly half of B2B SaaS companies have cut or reduced marketing roles because of AI. The reductions occurred mainly through companies stopping backfills and allowing attrition to shrink teams rather than through announced layoffs.

The findings come from a survey of 100 directors, VPs, and heads of marketing at mid-market and enterprise SaaS companies.

Nearly half of B2B SaaS companies have cut or reduced marketing roles because of AI. Most reductions occurred through quietly stopping backfills and allowing attrition to shrink teams, according to MarTech.

Wynter’s report “How B2B Marketing Actually Uses AI” surveyed 100 directors, VPs, and heads of marketing at mid-market and enterprise SaaS companies. The data showed 47 percent of B2B companies reduced marketing roles due to AI.

Sixty percent of respondents identified content and copywriting as the functions most at risk.

Most brand teams maintain dashboards, weekly reports and periodic social feed reviews to monitor competitors, according to MarTech. These systems surface what happened last week but do not identify shifting dynamics or implications for the brand.

Social listening platforms count mentions, score sentiment and highlight activity after it occurs. The approach remains reactive and limited to rearview-mirror data collection.

Teams using AI reduce time spent collecting signals and increase time spent on decisions.

Google is adding new AI performance insights to Merchant Center. The reports give retailers visibility data on how products appear across AI-powered shopping experiences on Search, Gemini, and AI Overviews.

The reports include share of voice insights, shopping funnel performance, product term insights, and product attribute gaps. Retailers can compare visibility against similar brands and identify the conversational queries that drive discovery.

Brand teams maintain dashboards, weekly reports and periodic social feed reviews to track competitors. These systems report what happened last week but do not identify shifts or upcoming moves.

Social listening tools count mentions, score sentiment and surface activity after the fact. Reports produced from these sources are filed without driving changes in strategy.

AI handles data collection at scale so teams can focus on three questions: what a competitor move means for the brand, where the brand is exposed and where openings exist.

According to MarTech, Litmus data in The State of Email 2026 shows 35% of companies prioritize AI skills when hiring email marketing teams.

AI functions as a tool that supports automation, personalization, analytics, testing, and customer journeys. It drafts campaign copy, suggests subject lines, generates content variations, and reveals patterns. Companies seek marketers who apply AI to these areas rather than treat it as standalone strategy.

Nearly a third (31%) of teams prioritize email campaign strategy and planning according to MarTech.

2X appointed Emily Atkinson as Chief Client Officer and Drew Murphy as Chief Financial and Operating Officer. The subscription-based go-to-market services partner for B2B organizations made the announcements to expand its executive team.

Atkinson will lead the global client organization and unify strategy, execution, technology and AI as one GTM engine. She previously served as vice president and client partner at Epsilon and held roles at Brightfind.

Murphy will lead the newly established finance and operations function.

Clozd’s Dani Talbot stated at B2BMX 2026 that revenue teams miss critical buyer signals when relying on internal assumptions. She presented a five-step process to turn customer feedback into business action and positioned AI-powered interviews as a scalable method to gather deeper buyer insight for sales, marketing, and product teams, according to [Demand Gen Report](https://www.demandgenreport.com/industry-news/feature/turning-rich-customer-feedback-into-revenue-lessons-from-b2bmx-2026/53013/).

Talbot warned against collecting feedback...

According to [MarTech](https://martech.org/ai-is-not-the-skill-email-marketers-need-most/), 35% of companies prioritize AI skills when hiring email marketing teams based on Litmus The State of Email 2026 findings. At the same time, 31% of teams prioritize email campaign strategy and planning.

The MarTech article states that AI serves as a tool for drafting campaign copy, suggesting subject lines, generating content variations, and revealing patterns. It notes that AI is now the most in-demand skill for email marketing teams.

Parsnipp has launched an AI Search and GEO platform that models full buyer research journeys to measure brand visibility inside generative AI systems.

The Seattle-based company uses persona-based agents and multi-turn interactions rather than single-prompt testing. The platform covers brand analytics across ChatGPT, Gemini, Claude, Grok, and Perplexity, plus competitor tracking, prompt and citation analysis, GEO content optimization, search personas, and AI readiness recommendations.

35% of companies prioritize AI skills when hiring email marketing teams, according to MarTech.

Many marketers treat AI as a strategy. The source material states it is a tool that can draft campaign copy, suggest subject lines, generate content variations, and reveal unexpected patterns. AI supports faster work, ideation, and data summarization but does not replace strategic decisions.

Nearly a third (31%) of teams prioritize email campaign strategy and planning.

According to MarTech, 35% of companies now prioritize AI skills when hiring for email marketing teams, making it the leading skill cited in The State of Email 2026 report.

Nearly a third (31%) of teams prioritize email campaign strategy and planning. Marketing automation and workflow development ranks next at 27%. Data analysis and reporting follows at 24%.

Google is expanding its Preferred Sources feature into AI Overviews and AI Mode. The change allows user-selected sites to appear with a preferred badge inside AI-generated answers.

Preferred Sources originally launched to let users prioritize publications in Top Stories. The selections now extend to AI search results across Search.

Users choose eligible websites that publish fresh content through Search personalization settings.

A SaaStr AI Agent API Report Card that evaluated 152 B2B software APIs found marketing platforms averaging 63.6 out of 100 while the overall average across all categories reached 72.

The report graded APIs on six criteria scored 0-10 each for a maximum of 100 points: API design, events and streaming support, authentication, rate limits, SDK quality and documentation, and agent readiness. Scores came from independent evaluations by Claude, GPT, and Gemini models.

Nearly 80% of surveyed organizations are actively executing an ABM strategy, according to the 2026 Account Based Marketing Benchmark Survey from Demand Gen Report. The remaining organizations plan to add one soon. The findings indicate ABM has moved beyond the pilot stage into the established B2B go-to-market mix.

52% of respondents said their ABM efforts are meeting expectations. Another 23% said programs are exceeding expectations, and 10% said they are greatly exceeding expectations.

Iterable CMO Priya Gill stated that B2B customer engagement depends on consistent, connected experiences that build trust over time rather than additional campaigns or surface-level personalization, according to [Demand Gen Report](https://www.demandgenreport.com/industry-news/feature/iterable-cmo-priya-gill-provides-b2b-customer-engagement-insights-demand-gen-report-qa/53009/).

Gill noted that B2B buyers make more intentional decisions about time, attention, and budget and disengage faster when interactions do not feel worth it.

Iterable CMO Priya Gill stated that B2B customer engagement depends on consistent connected experiences that build trust over time rather than additional campaigns or surface-level personalization.

Gill noted that B2B buyers make deliberate choices about time attention and budget and disengage quickly when interactions lack relevance. According to Demand Gen Report more than half of respondents reported staying loyal to trusted brands for over 10 years.

Many marketers missed the initial opportunity to reimagine their organizational models before implementing AI technology, according to [MarTech](https://martech.org/ai-wont-save-a-broken-organization/). They now operate at the evolving intersection of AI, data, and modern marketing strategy.

Ryan Warren, chief CRM officer at Razorfish, states that marketing teams had an opportunity to harness AI and change the way they work but many missed it.

B2B retention has traditionally been measured at the moment of renewal, yet renewal decisions are shaped long before a contract comes due as organizations face tighter budget scrutiny and expanding software portfolios.

According to [Demand Gen Report](https://www.demandgenreport.com/demanding-views/the-demand-gen-engine-why-b2b-retention-now-depends-on-value-realization/53001/), customers must now justify every vendor relationship in terms of measurable outcomes.

The Gainsight Customer Success Index shows 91% of organizations expect AI to...

Vereigen Media introduced Revenue-First Demand Generation Programs to help B2B marketers move beyond MQL-focused strategies and prioritize verified engagement, first-party data, and measurable pipeline impact, according to [Demand Gen Report](https://www.demandgenreport.com/industry-news/news-brief/vereigen-media-launches-revenue-first-demand-generation-programs/52931/).

The offering combines verified content engagement, programmatic display, ABM campaigns, and event registration supported by in-house human validation.

According to two new surveys released by Gartner at the Gartner CSO & Sales Leader Conference, B2B buyers now use an average of seven information sources during purchases, with 45% employing GenAI primarily to gather vendor and product information. Buyers reported a strong preference for low-friction experiences, as 67% favor a sales-rep-free process and 70% prefer a completely digital, self-service buying experience.

The Gartner survey of B2B buyers found that 69% prefer to validate AI-generated insights with sales reps at key decision...

Xactly launched its Fleet of Agents and Intelligence Studio to expand the Xactly Intelligent Revenue Platform.

The Fleet of Agents includes builder agents, workflow agents, and optimization agents. Early examples are the Incent Plan Configuration Agent and the Dispute Management Agent.

DesignRush and Originality.ai analyzed 100 published articles and determined that content optimization was the only measured quality signal correlated with traffic. Articles scoring 70 percent or higher on optimization produced 5.4 times more monthly traffic than articles scoring in the 40 to 49 percent range, according to [Demand Gen Report](https://www.demandgenreport.com/industry-news/news-brief/designrush-content-optimization-is-the-only-measured-quality-signal-linked-to-traffic/52925/).

The relationship was not linear.

Companies that organize and structure metadata have a major edge in AI-powered search and personalization according to MarTech.

Metadata already serves as the currency for organic search. It includes schema markup, product-feed attributes, image descriptors, DAM tags, provenance signals, and taxonomies.

Metadata helps Google understand, index, and present content across Search, Images, and product experiences.

Metadata already serves as the currency for organic search through schema markup, product-feed attributes, image descriptors, DAM tags, provenance signals, and taxonomies. According to [MarTech](https://martech.org/the-ai-marketing-advantage-hiding-in-your-metadata/), this structured data helps Google understand, index, and present content across Search, Images, and product experiences.

AI has elevated metadata from search optimization to the cornerstone of how brands are found, understood, rationalized, reused, personalized, and activated.

Consumers are giving mixed signals about AI content in marketing. People like ads and content that feel useful and relevant, but many are still turned off by marketing that comes across as robotic, emotionally empty, or a little too invasive. Seventy percent of consumers said they can usually spot an AI-generated ad because it feels like it is missing its soul, according to Canva’s report covered by MarTech.

Another 69% worry the future of advertising will become a sea of AI-generated slop, and 65% said AI ads are so obvious it is laughable.

Consumers are giving mixed signals about AI content in marketing. People like ads and content that feel useful and relevant, but many are still turned off by marketing that comes across as robotic, emotionally empty, or a little too invasive.

Seventy percent of consumers said they can usually spot an AI-generated ad because it feels like it is missing its soul, according to Canva’s “The state of marketing and AI 2026” report cited by MarTech.

Intuit announced this week it will cut approximately 3,000 jobs, representing 17 percent of its global workforce. The move affects the 11 million businesses that use Mailchimp. Mailchimp is not shutting down, but Intuit is reducing investments in the platform according to [MarTech](https://martech.org/what-intuits-layoffs-mean-for-mailchimp-customers/).

Intuit purchased Mailchimp for $12 billion as part of its small-business strategy.