Yesterday’s press releases share a single, uncomfortable theme: the decisioning layer in marketing — the place where AI systems determine what a customer sees, what gets recommended, and what gets bought — is actively shifting away from brand control and toward platform infrastructure. Chief Marketing Officers (CMOs) who read these announcements as routine product updates are missing the strategic signal.
The pattern across yesterday’s news is not about AI features. It is about who owns the intelligence layer. Zeta Global’s agentic commerce research reveals that 70% of AI shoppers still prefer to complete transactions on brand-owned channels, but AI is already controlling discovery and evaluation before the customer ever reaches a brand’s site. Awin’s new AI Visibility tools exist precisely because two-thirds of Google searches now end without a click, meaning brands are being surfaced (or not) by systems they cannot directly influence. Kentico’s 292% AIRA adoption growth shows that marketers are moving from experimentation to embedded AI workflows — but the BCG data from earlier this month is the sobering counterweight: only 8% of CMOs are running campaigns with multiple autonomous AI agents, while 42% are still using GenAI only to assist humans with individual tasks.
The practical implications for CMOs are specific and urgent. First, the product feed and catalog layer is now a strategic asset, not a technical function — Revmatics’ acquisition of DataFeedWatch signals that whoever controls how product data is formatted and distributed across 18,000+ shopping channels controls how AI systems rank and surface products. Second, customer support is being restructured around AI-human hybrid models, not full automation — Kim.cc’s funding round reflects the market’s rejection of pure chatbot approaches in favor of AI-native operations with human oversight, delivering 40% cost reductions without sacrificing quality. Third, platform consolidation is accelerating — Canva Grow 2.0 and Manago AI’s rebrand both represent the same pressure: marketing teams want fewer tools that do more, not more tools that do less. The trade-off is depth versus simplicity, and CMOs need to decide which workflows can tolerate simplification and which require enterprise-grade complexity.
The gap between vendor hype and practical implementation remains wide. Kentico’s adoption numbers are impressive, but the BCG survey data shows that most marketing organizations are still in the early stages of agentic transformation. The key decisions CMOs need to make now: Which AI layer do you own versus rent? How are you optimizing for AI-driven discovery, not just human search? And are your product data and content infrastructure ready to be surfaced by AI agents you do not control?
Press Releases: June 30, 2026
New Zeta Global Research Signals the Rise of Agentic Commerce — Zeta Global (NYSE: ZETA) | June 30, 2026
Zeta Global unveiled new findings from its AI shopping behavior research, based on a survey of 2,000 U.S. adults who used AI to make a purchase in the past three months. The research signals the early emergence of agentic commerce, with consumers increasingly willing to authorize AI agents to shop and buy on their behalf. Key findings: 43% of parents would allow AI to make purchases within a set budget (vs. 27% of non-parents); 70% of AI shoppers still prefer completing transactions directly on brand websites; 59% say AI has reduced the likelihood they will return a purchase; and 54% of AI shoppers would choose a brand’s personalized AI experience over a general-purpose AI tool. CEO David Steinberg noted that as consumers increasingly turn to AI to discover and evaluate products, brands need to know how they are showing up. The research underscores that agentic commerce is reshaping discovery and evaluation before it reshapes transactions — a critical distinction for brand strategy.
Revmatics Acquires DataFeedWatch to Expand AI-Driven Commerce — Revmatics / Newsfile Corp. | June 30, 2026
Revmatics announced the acquisition of DataFeedWatch, one of the world’s most widely adopted e-commerce product feed management platforms, from Cart.com. The deal unites DataFeedWatch’s product feed distribution across 18,000+ brands and thousands of shopping channels (including Google Shopping, Meta, Bing, and TikTok) with Revmatics’ Lumara, a Level 4 self-improving agentic AI. DataFeedWatch has driven 18-46% reductions in cost per acquisition, 11-43% higher conversion rates, and 13-57% higher click-through rates across 63 customer case studies. CEO Ricky Ray Butler stated that DataFeedWatch was the missing piece in their end-to-end revenue engine. The acquisition is structured as cash and stock, with Cart.com taking an equity position in Revmatics. Revmatics positions itself as an AI revenue research company focused on predicting and influencing buyer behavior across the full commerce funnel, with a contrarian emphasis on lean, energy-efficient AI architectures rather than large-scale compute.
Kentico Reports AIRA Customer Adoption Nearly Quadruples in the First Half of 2026 — Kentico / CMSWire | June 30, 2026
Kentico, the content management and digital experience platform provider, announced significant growth in customer adoption of AIRA, its AI-powered marketing assistant, and the Agentic Marketing Suite released in H1 2026. Customer adoption grew 292%, monthly active customers increased 220%, and customers using three or more AIRA capabilities each month grew more than fiftyfold. The Agentic Marketing Suite includes four specialized AI agents: a Content Strategist, Customer Journey Optimization Specialist, SEO and GEO Specialist, and Campaign Manager. CEO Dominik Pinter noted that organizations are moving beyond experimenting with AI and are now looking for practical ways to apply it across the marketing lifecycle. The most widely adopted capability is AI-powered translation for multilingual content. The growth signals a shift from isolated AI experiments to AI embedded in regular marketing workflows — with human review kept at the center of every decision.
Awin Expands Discovery Intelligence as AI Reshapes How Consumers Find Brands — Awin / GlobeNewswire | June 30, 2026
Awin, the global marketing technology platform, announced a new partnership with ScalePost alongside platform enhancements including AI Visibility and Smart Search capabilities. The announcement addresses a critical measurement gap: with around two-thirds of Google searches now ending without a click, marketers lack visibility into how AI-driven experiences are influencing brand discovery. ScalePost uses first-party CDN data (integrating with Fastly, Cloudflare, and Akamai) to measure real AI citations rather than modeled or synthetic data. Awin CEO Adam Ross stated that Awin data shows accounting for AI interactions can increase observed engagement by three to six times. The Smart Search feature makes advertisers twice as likely to invite a publisher partner compared to traditional directory search. The announcement reflects the broader industry challenge of measuring influence in zero-click, AI-mediated discovery environments.
Kim.cc Raises Funding, Building the Future of AI-Native Support Operations — Kim.cc / PR Newswire | June 30, 2026
Kim.cc, an AI-native customer support company serving over 200 e-commerce brands globally, announced an institutional venture funding round led by Stellaris Venture Partners to accelerate U.S. expansion. The company targets $100M+ in annual revenue by 2028 and plans to triple its workforce to over 100 employees. Kim’s model combines AI automation with human-in-the-loop execution, delivering 40% lower support costs without compromising quality. Investor Alok Goyal noted that customer support is a $470B global market, yet a huge segment remains out of reach for cost-effective, high-quality service. CEO Sachin Jaiswal stated that full automation has not delivered on its promise for many real-world customer service scenarios, and that when work becomes complex, high-stakes, or brand-sensitive, companies still need human judgment. The company currently manages 2 million inquiries per week and serves brands including TRIP Drinks, Kahawa 1893, and Transformer Table.
Canva Grow 2.0 Puts Ad Creation, Launch, and Optimization Into a Single AI Workflow — Canva (via Futurum Group analysis) | June 30, 2026
Canva launched Canva Grow 2.0 at Cannes Lions, integrating ad creation, publishing, and performance analytics into a unified, AI-native workflow for marketing teams. The platform aims to eliminate the manual stitching together of disparate adtech and analytics tools, enabling teams to create, launch, and analyze ad campaigns without leaving the Canva environment. Futurum Group analyst Keith Kirkpatrick noted that 44% of enterprise software buyers now cite GenAI capabilities as a top criterion for future purchases. The launch directly challenges fragmented martech stacks and puts pressure on incumbents including Adobe, HubSpot, and Salesforce to accelerate their own AI-native integrations. Key execution risk: Canva’s strength is in design-first SMBs, and winning enterprise marketing departments will require deep CRM integrations, advanced analytics, and compliance controls that the platform has not yet demonstrated at scale.
SALESmanago Announced Its Rebranding as Manago AI — Manago AI / MarTech Cube | June 30, 2026
SALESmanago, one of the first marketing automation platforms in Europe, announced its rebrand to Manago AI alongside the launch of a next-generation Customer Engagement Platform with agentic AI capabilities, an improved user experience, and a simplified commercial model. The platform enables marketers to use natural language prompts to analyze customer behavior, recommend next actions, create campaigns, and automate execution. CEO Phil Draper stated that marketing teams do not have a data problem — they have an execution problem, with insight sitting in dashboards while campaigns are delayed by manual processes and disconnected tools. The rebrand reflects a broader industry shift: marketing automation platforms are repositioning as AI-native execution engines, reducing the time from insight to campaign launch from days to minutes. The simplified commercial model with flexible packaging and AI-powered onboarding is designed to accelerate time-to-value for growing e-commerce brands.
