Daily coverage of RevOps, sales forecasting, pipeline analytics, and B2B SaaS marketing. Curated for $100M to $1B ARR revenue teams.
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.
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.
A Canva report finds that 70 percent of consumers can usually identify an AI-generated ad because it feels like it is missing its soul. Another 69 percent worry that advertising will turn into a sea of AI-generated slop, while 65 percent describe current AI ads as so obvious that they are laughable.
Early-stage B2B teams often treat marketing like a volume knob by turning it up, buying tools, or hiring senior staff, according to [Demand Gen Report](https://www.demandgenreport.com/demanding-views/the-one-sentence-rule-why-most-b2b-startups-scale-marketing-too-early/52918/). These steps rarely produce results because marketing functions as an engine that requires deliberate construction rather than a brand exercise or last-mile megaphone.
Teams that struggle build for completeness instead of communicating at the right altitude.
Paid media managers begin each week pulling data from Google Ads, Meta, LinkedIn, TikTok, and Reddit before reformatting numbers in spreadsheets for client reports. The process repeats across 10 or 11 networks that maintain separate attribution logic, campaign structures, and conversion definitions.
Teams still consolidate performance data through multiple tabs and spreadsheets. Industry data places the average paid media manager at 5 to 9 hours per week on administrative tasks alone, according to MarTech.
AI is the main driver of increased martech budgets, according to MarTech. Research on martech performance finds that only 49% of martech tools are actively used and only 15% of organizations qualify as high performers who meet strategic goals and demonstrate positive ROI.
This gap has produced what MarTech describes as workslop: low-quality, generic output that results when teams are pressured to use AI for higher volume while receiving less time for quality control.
Leadership often fails to define how to use AI and what success looks like.
AI is now the main driver of increased martech budgets, according to MarTech. Research on martech performance finds that only 49% of martech tools are actively used. Only 15% of organizations qualify as high performers who meet strategic goals and demonstrate a positive ROI.
This gap produces workslop, defined as low-quality generic output that results when teams face pressure to use AI for higher volume without time for quality control.
Leadership often fails to define how to use AI and what success looks like.
Paid media managers begin Mondays pulling numbers from Google Ads, Meta, LinkedIn, TikTok, and Reddit, then reformat the data in spreadsheets for 10 a.m. reports. Each network maintains its own attribution logic, campaign structure, and conversion definition. The data resides in separate locations and follows different formats.
Industry data places the average paid media manager at 5 to 9 hours per week on administrative tasks alone. Agencies managing multiple clients across multiple platforms can spend twice that amount.
Fermenta used Popcorn.co to publish more than 40 videos across three YouTube channels in a six-week period. The company maintained a cadence of two to three posts per week per brand while adding zero staff, according to [Demand Gen Report](https://www.demandgenreport.com/case-studies/fermenta-scales-its-youtube-presence-across-three-brands-with-popcorn-co-dgr-case-study/52952/).
The health and nutrition company operates multiple brands that each require distinct positioning and compliance standards.
Paid media managers begin Mondays pulling numbers from Google Ads, Meta, LinkedIn, TikTok, and Reddit, then drop the figures into spreadsheets to produce reports by 10 a.m. The process also requires determining what worked the prior week. According to MarTech, the average paid media manager spends 5 to 9 hours per week on administrative tasks alone.
Teams log in and out of platforms, reformat data, and rebuild campaign briefs because each network uses distinct attribution logic, campaign structures, and conversion definitions.
Paid media managers start Monday mornings pulling numbers from Google Ads, Meta, LinkedIn, TikTok and Reddit into spreadsheets. They reconcile data from 10 or 11 networks that each use separate attribution logic, campaign structures and conversion definitions. The data lives in different places and does not share a common format.
Industry data places the average paid media manager at 5 to 9 hours a week on administrative work alone. Teams managing more than three or four networks typically exceed that range.
Revenue teams have added AI copilots, summaries, prompts, and workflow add-ons that accelerate pockets of the sales process. Gartner research found that 39% of chief sales officers say AI-focused sales initiatives have increased the percentage of sellers who meet or exceed quotas. According to [Demand Gen Report](https://www.demandgenreport.com/demanding-views/ai-that-sells-why-revenue-teams-must-redesign-decisions-not-just-tasks/52935/), the gap stems from organizations optimizing tasks rather than redesigning the decisions that determine...