Marketing operations news: attribution, MAP, martech, and campaign measurement.
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.
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.
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.
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.
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.
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.
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.
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.
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,...
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,...
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.
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.
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.
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...
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...
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.
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...
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.
Paid media managers begin Monday mornings pulling numbers from Google Ads, Meta, LinkedIn, TikTok, and Reddit, then drop them into spreadsheets to create coherent reports by 10 a.m. The same process includes determining what worked the prior week. Industry data shows the average paid media manager spends 5 to 9 hours per week on administrative tasks alone.
Agencies managing multiple clients across platforms can spend twice that amount.
AI is now the main driver of increased martech budgets, yet only 49% of martech tools are actively used and just 15% of organizations qualify as high performers who meet strategic goals and demonstrate positive ROI, according to MarTech.
Research on martech performance shows that leadership often fails to define how to use AI and what success looks like.
New data from the Storyblok Global Speed-to-Market Benchmark Report identifies approval processes, developer dependencies, and tech constraints as primary barriers to faster go-to-market performance. Only 22.5% of teams say they consistently deliver at the pace the market demands, according to [MarTech](https://martech.org/why-some-teams-launch-faster/).
The approval process is the single biggest bottleneck in the GTM workflow, cited by more than 50% of teams.
AI recommendation engines rely on reviews, comparisons, and customer signals to decide which brands to surface and trust, according to [MarTech](https://martech.org/customer-experience-outweighs-brand-in-ai-assisted-shopping/). The rules for AI-assisted recommendations have changed. When evaluating brands, AI engines focus less on marketing narratives and more on customer experience.
Many brands still approach AI visibility as an SEO problem.
AI recommendation engines rely on reviews, comparisons, and customer signals to decide which brands to surface. According to [MarTech](https://martech.org/customer-experience-outweighs-brand-in-ai-assisted-shopping/), these engines focus less on marketing narratives and more on customer experience when evaluating brands.
AI recommendation engines rely on repeated external signals to determine which brands feel trustworthy, reliable, and relevant to a specific prompt.
Publicis Groupe entered into an agreement to acquire LiveRamp on Sunday. The transaction values the company at $38.5 per share in an all-cash deal, representing a 29.8 percent premium over LiveRamp's closing share price on May 15.
LiveRamp operates as a data collaboration platform. It supplies identity resolution, privacy-safe data collaboration, data clean rooms, cross-platform measurement, and first-party data activation.
The May 2026 MarTech Conference featured seven live panel discussions for marketing and marketing operations professionals. All told, the event transcripts totaled nearly 150 pages. According to [MarTech](https://martech.org/10-of-the-most-insightful-quotes-from-the-may-2026-martech-conference/), organizers mined the transcripts and selected 10 quotes.
Alec Haase, general manager of AI products at Hightouch, stated: “The value exchange isn’t really a one-time thing at the point of collection.
Marketing teams now have more ways than ever to create, distribute, adapt, and measure content. Technology has made production faster while templates have made execution more efficient and automation has made scale feel increasingly achievable. However more creative output does not automatically translate into greater marketing impact according to [MarTech](https://martech.org/why-scaling-creative-is-really-a-leadership-challenge/).
The challenge is enabling creative work to remain effective...
Marketing teams have more ways than ever to create, distribute, adapt, and measure content according to MarTech. Technology has made production faster while templates have made execution more efficient and automation has made scale feel increasingly achievable. However, more creative output does not automatically translate into greater marketing impact.
The challenge is no longer simply producing more work. It is enabling creative work to remain effective as complexity increases.
The average B2B organization manages between 12 and 20 martech tools, yet fewer than 10% of brands sustain strong brand cohesiveness across their product and channel portfolios, according to [MarTech](https://martech.org/build-a-martech-stack-that-makes-it-easy-to-manage-your-brand/).
Operations leaders at the May 2026 MarTech Conference discussed how to prevent marketing technology stacks from becoming a spaghetti mess of disconnected AI point solutions, according to [MarTech](https://martech.org/the-art-of-doing-more-with-less-the-new-marketing-operations-stack/).
Navigating dozens of interconnected systems often feels like a game of high-stakes Jenga. Jessica Kao, director of B2B GTM transformation advisor at Adobe, argued for centralized ownership.
Operations leaders at the May 2026 MarTech Conference discussed how to prevent AI point solutions from forming disconnected layers that increase governance demands, according to [MarTech](https://martech.org/the-art-of-doing-more-with-less-the-new-marketing-operations-stack/).
Panelists noted that adding AI to existing systems often creates faster versions of prior workflow problems rather than resolving them.
Jessica Kao, director of B2B GTM transformation advisor at Adobe, argued for...
Most B2B marketing teams manage between 12 and 20 martech tools yet fewer than 10% of brands sustain strong brand cohesiveness across product and channel portfolios according to [MarTech](https://martech.org/build-a-martech-stack-that-makes-it-easy-to-manage-your-brand/).
At the May 2026 MarTech Conference, operations leaders discussed how AI adds governance complexity despite promising efficiency, focusing on preventing the stack from becoming a 'spaghetti mess' of disconnected AI point solutions, according to MarTech.
Marketing leaders face growing pressures as AI transforms how brands gain visibility, with only 49% of Fortune 500 top marketers holding the CMO title, down from 55% a year ago, according to a Forrester report cited in a MarTech article. Over one in five Fortune 500 companies have changed their entire marketing leadership in the past 12 months, and the average CMO tenure has fallen to 3.9 years, the shortest in the C-suite.
Marketers obtain stronger outputs from large language models when they treat the systems as sparring partners instead of answer machines, according to MarTech.
Tech columnist Christopher Mims described a test using prediction scenarios from Polymarket. Pure AI models outperformed human-only groups. Hybrid teams that accepted AI answers without challenge performed worse than AI alone.
In a recent essay for The Wall Street Journal, tech columnist Christopher Mims described an experiment where humans interacting with AI as sparring partners achieved superior results in predicting real-world events. The experiment involved groups using AI models like ChatGPT and Gemini, humans alone, and hybrid teams, with the hybrid approach yielding the best performance when participants questioned AI assumptions, according to...
Marketing leaders face growing challenges as AI reshapes how brands gain visibility, with companies like UPS, Etsy, and Walgreens eliminating the CMO role in the past year, according to MarTech. According to Forrester’s 2025 report cited in the article, only 49% of Fortune 500 top marketers hold the CMO title, down from 55% the previous year, while average CMO tenure stands at 3.9 years, the shortest in the C-suite, and over one in five Fortune 500 companies have changed their marketing...
A Gartner survey conducted in early 2026 found that CMOs are allocating an average of 15.3% of their marketing budgets to AI initiatives, even as only 30% report that their organizations have mature or fully developed AI readiness capabilities. This gap highlights that 70% of CMOs view becoming an AI leader as a critical goal for 2026, yet the same percentage admits their internal processes are not mature enough to implement and scale AI effectively, according to...
At the May 2026 MarTech Conference, a panel moderated by A. Lee Judge, co-founder and CMO of Content Monsta, featured marketing leaders Dale Bertrand, Melanie Deziel, Lexie Haggerty from Braze, and Jordache Johnson discussing how to preserve authentic storytelling in an AI-driven era, according to [MarTech](https://martech.org/reclaiming-the-power-of-the-story-fueled-by-data-and-ai/).
SOCi and Google are hosting an exclusive webinar titled 'Winning the Next Era of Local Visibility' on June 3 to address how AI is changing local search dynamics. According to [MarTech](https://martech.org/winning-the-next-era-of-local-visibility-how-ai-is-changing-local-search/), AI-powered experiences such as Google AI Overviews, Gemini, and Ask Maps are altering how customers discover local businesses, with people now asking more detailed, conversational questions that influence which...
At the May 2026 MarTech Conference, a panel moderated by Angela Vega, director of capabilities and operations at Expedia Group, featured marketing leaders discussing how brands can deliver personalized customer experiences without appearing invasive. The session, titled "Winning attention without losing trust: creating meaningful moments across the customer journey," included Alec Haase, general manager of AI products at High Touch; Sean Nowlin, founder and CEO of Spotlight IQ; and Ed Poppe,...
On March 31, Gmail introduced AI Inbox, a feature that uses AI to summarize and prioritize emails, aiming to help users manage their inboxes without reaching Inbox Zero. This announcement, as detailed in the source, involves AI deciding which emails matter before users scroll, potentially affecting how emails from marketers are seen, given that Gmail users account for more than 25% of the world’s inboxes.
On March 31, Gmail announced AI Inbox, a feature designed to prioritize emails using AI, potentially allowing users to avoid reaching Inbox Zero by having AI decide which emails matter most. This development builds on Google's history of using AI in products like search, where it answers queries directly.
Digital marketing has settled into a stable system over the past few decades, relying on predictable cores like SEO, content marketing, social media, and digital advertising, but AI search has disrupted this by drawing on broader signals and exposing inconsistencies in fragmented campaigns, according to [MarTech](https://martech.org/ai-seo-punishes-lazy-marketing-strategies/).
According to [MarTech](https://martech.org/why-performance-marketing-needs-more-than-roas/), return on ad spend (ROAS) has long been the default metric for evaluating marketing performance, but it is no longer sufficient as digital ecosystems grow more complex and organizations demand clearer accountability for growth.
AI is already transforming marketing by altering discovery, buying decisions, and market competition, yet many marketing leaders are primarily evaluated on campaign execution rather than guiding enterprise transformation, according to MarTech. Gartner research indicates that 82% of business leaders believe their company’s brand and culture must evolve to keep pace with AI, but only 15% of CEOs see their marketing leader as strongly AI savvy, creating a gap that threatens marketing’s strategic...
At the May 6th MarTech Conference, a session titled "The art of doing more with less: The new marketing operations stack" will feature marketing leaders discussing how to shift operations from routine maintenance to proactive business drivers, according to [MarTech](https://martech.org/the-art-of-doing-more-with-less-the-new-marketing-operations-stack/).
At the May 6th MarTech Conference, a session titled 'The art of doing more with less: The new marketing operations stack' will feature industry leaders discussing how marketing operations teams can shift from routine maintenance to strategic roles, according to [MarTech](https://martech.org/the-art-of-doing-more-with-less-the-new-marketing-operations-stack/).
As discussions around the 'SaaSpocalypse' highlight companies replacing software vendors and IT services with AI-enabled tools, marketers are reassessing which platforms remain essential in their stacks, according to [MarTech](https://martech.org/why-affiliate-marketing-still-needs-humans-in-the-ai-era/).
At the Spring 2026 MarTech conference, participants in the MarTech Vibe Marketing Lab engaged in hands-on collaboration to create marketing tools for Harlem Grown, a nonprofit dedicated to urban farming and youth mentorship, where one team developed a story engine to transform a single impact story into various content pieces while maintaining consistent voice.
At the Spring 2026 MarTech conference's MarTech Vibe Marketing Lab, participants collaborated on hands-on projects, including creating a marketing tool for Harlem Grown, a nonprofit focused on urban farming and youth mentorship, where one team developed a "Harlem Grown story engine" to transform a single impact story into various content pieces while ensuring consistent voice, according to [MarTech](https://martech.org/if-your-ai-content-feels-generic-this-is-why/).
B2B marketers repeatedly describe data as their most valuable asset, comparing it to gold or oil, and invest heavily in tools like MAPs, CRMs, CDPs, and various martech solutions that consume a significant portion of their budgets. Despite this investment, reporting now includes analytics from digital campaigns, a shift from past practices where B2B companies advertised in trade publications with limited evidence of benefits, yet more data has not clarified decision-making as marketers fail to...
Microsoft is introducing AI Max for Search campaigns, which expands query matching and personalizes ad delivery across Copilot and Bing, as part of updates designed to help advertisers maintain visibility as AI agents take on larger roles in discovery and transactions, according to [MarTech](https://martech.org/microsoft-updates-ads-platform-for-ai-driven-discovery/).