June 25, 2206 | Yesterday was dominated by Cannes Lions, and the press release volume that always accompanies it. But stripping away the festival backdrop and the vendor superlatives, the day’s announcements reveal three distinct and important signals for Chief Marketing Officers (CMOs) and marketing organizations.
Signal 1: The efficiency-vs-effectiveness trap is real and getting worse. Forrester’s landmark research released at Cannes — co-authored with the 4As — found that nine in ten US marketing agencies now use generative AI, and half use agentic AI. The headline sounds like progress. The finding underneath it is a warning: the industry is systematically trading creativity for cost savings. Agencies are using AI to summarize documents (74%), conduct competitive research (70%), and build content — all productivity plays. But Forrester explicitly states this is undermining marketing effectiveness and long-term brand growth. CMOs need to ask their agency partners a direct question: where are the efficiency gains being reinvested? If the answer is into margin, the brand is being hollowed out.
Signal 2: Agentic AI is splitting into two meaningfully different categories. The MoEngage acquisition of Aampe and the Salesforce Agentforce Commerce release both use the word agentic, but they represent fundamentally different bets. MoEngage/Aampe is building per-user decisioning agents — one AI agent per individual customer, running 200 billion decisions per week, learning continuously from behavioral signals. This is narrow, deep, and operationally proven. Salesforce Agentforce Commerce is building a broader commerce operating layer — Shopper Agent, Buyer Agent, Merchant Agent — that connects catalog, inventory, order management, and external AI channels (ChatGPT, Gemini) into one platform. The trade-off: MoEngage’s approach requires less platform lock-in but more data infrastructure investment; Salesforce’s approach requires platform commitment but delivers faster time-to-value for brands already in the ecosystem. CMOs need to decide which problem they are actually solving before choosing a path.
Signal 3: Data readiness is the real bottleneck, and most organizations are behind. ISG’s research on real-time streaming data, SAP Engagement Cloud’s findings on disconnected systems, and the Elogic/Anthropic partnership all point to the same underlying constraint: agentic AI tools are arriving faster than most organizations’ data infrastructure can support them. ISG projects that by 2028, more than one-third of enterprises will integrate data streaming with AI inferencing — which means two-thirds won’t. SAP’s research found that while 80% of marketers believe AI will be essential for customer acquisition and retention, most organizations still struggle to act on customer insight in real time because data sits in disconnected systems. The Albertsons/Criteo integration is the clearest e-commerce signal: sponsored products are now appearing inside AI-powered conversational search carousels, which only works if product data, inventory, and pricing are unified and real-time. Brands that haven’t resolved their data foundation are not just missing an opportunity — they are being structurally disadvantaged in channels that are growing fast.
The key decisions CMOs need to make now: First, audit where AI efficiency gains are going — if they’re not being reinvested in creative talent and differentiated experiences, the brand is at risk. Second, choose an agentic AI architecture based on your actual data maturity, not vendor roadmaps. Third, treat data unification as a marketing infrastructure priority, not an IT project — because the tools that matter most in 2026 require it as a prerequisite.
Here’s The News:
Forrester: Nine In 10 US Marketing Agencies Use AI To Cut Costs At The Expense Of Creativity
Source: Forrester | Date: June 24, 2026
Released at Cannes Lions 2026 in partnership with the 4As, Forrester’s The State Of AI Inside US Marketing Agencies, 2026 report found that AI is now pervasive across US marketing agencies: nine in ten agencies use generative AI, and half use agentic AI for marketing execution. Yet rapid adoption, combined with an industry-wide focus on productivity and cost efficiency, is undermining marketing effectiveness, creativity, and long-term brand growth. The report found that enhancing staff productivity remains the primary objective for agencies using genAI (81%) and AI agents (63%). The most cited use cases include building creative content, crafting media and SEO strategy, and improving internal productivity. Notably, 74% use genAI to summarize documents and communications, and 70% apply it to research and competitive intelligence. Reliability, legal, and privacy concerns remain major barriers to scale — accuracy and bias (63%), legal concerns (62%), and privacy and security risks (55%) continue to slow deeper integration. Sixty-one percent of agencies still classify AI as a cost of business, with limited direct monetization. Forrester VP Jay Pattisall warned: AI has fundamentally transformed marketing agencies, but the industry is at risk of mistaking efficiency for effectiveness. The report calls on CMOs and agency leaders to reinvest efficiency gains into talent, training, and AI-powered marketing operating systems that enable differentiated experiences and sustainable revenue growth.
Salesforce Releases Agentforce Commerce: Its Biggest Agentic Commerce Platform Yet
Source: Salesforce | Date: June 24, 2026
Salesforce announced its most significant Agentforce Commerce release to date, deploying three generally available AI agents — Shopper Agent, Buyer Agent, and Merchant Agent — with native integration into ChatGPT, Google Search (including AI Mode), and the Gemini app arriving this summer. The announcement comes with striking data: AI influenced 20% of global online sales worth $262 billion during the last holiday season, and retailers running their own shopper agents grew sales 59% faster than those on the sidelines. AI-referred traffic converts at eight times the rate of social. Shopper Agent brings conversational shopping to brand storefronts, handling discovery through checkout with full catalog and customer context. B2B Buyer Agent enables procurement via WhatsApp and SMS. Merchant Agent gives operations teams natural-language control over catalog management, with early customers reporting 88% reductions in time-to-task. The release also includes Agentic Commerce Search (GA July 2026), Storefront Next for rapid deployment, Agentic Order Management, and a new Visual Merchandising Workspace. Salesforce EVP Nitin Mangtani stated: The brands that win will have their Shopper Agent live on their own properties for the 2026 shopping season.
MoEngage Acquires Aampe to Bring 1:1 Agentic Decisioning to B2C Marketing Teams
Source: MoEngage / PR Newswire | Date: June 24, 2026
MoEngage, the agentic customer data and engagement platform trusted by more than 1,350 consumer brands globally, announced the acquisition of San Francisco-headquartered Aampe, an AI infrastructure company that provisions a dedicated, autonomous AI agent for every individual customer of a brand. The acquisition brings Aampe’s reinforcement learning engine natively into MoEngage, creating what the company calls the first engagement platform where workflow agents for marketers and decisioning agents that act for each user operate from a single, unified system. Aampe’s platform runs hundreds of millions of dedicated AI agents and processes more than 200 billion decisions every week, with production deployments at Grab, Swiggy, ZenBusiness, and Taxfix. Each agent decides what to say, when to say it, how often, and on which channel — composing the right message for each specific individual and learning from every outcome. MoEngage CEO Raviteja Dodda said: Aampe has built something the rest of the market hasn’t cracked: a system that continuously optimizes content, timing, channel, and frequency together at an individual level. The acquisition introduces a Start Anywhere approach — B2C brands can plug Aampe’s per-user agents into their existing customer engagement platform without disruption.
SAP Engagement Cloud: Real-Time Engagement Will Define How Brands Win in 2026
Source: SAP Engagement Cloud (Emarsys) | Date: June 24, 2026
SAP Engagement Cloud released new research from its 2026 Engagement Index revealing that agentic AI is transforming customer engagement, turning major cultural moments and the holiday shopping season into business-critical stress tests. The research found that 21% of consumers already use AI agents to support purchasing decisions — rising to 43% among Gen Z — while 74% say AI helps them make faster, more informed choices. At the same time, 80% of marketers believe AI will be essential for acquiring and retaining customers in 2026 and beyond. SAP CMO Sara Richter stated: Agentic AI is turning engagement into a real-time, enterprise-wide capability, but for many brands this remains difficult in practice. Data is often spread across disconnected systems, teams operate in silos, and inconsistent data quality limits the ability to act in the moment. The research highlights that brands must shift from linear campaign models to continuous engagement, responding dynamically as customer intent emerges. SAP simultaneously launched a Holiday Readiness guide showing how brands can use agentic AI and connected customer and operational data to create actionable insights for peak-season shopping.
Albertsons Media Collective Integrates Branded Product Placement into AI-Search Tool
Source: Marketing Dive / Albertsons Companies | Date: June 24, 2026
Albertsons Media Collective announced a new integration with Criteo that brings sponsored product discovery into Albertsons’ AI-powered conversational search tool. The new capability enables brands to influence shoppers as they plan meals, search for products, and build baskets — with select sponsored products now appearing within Albertsons’ search product carousels relevant to shoppers’ search queries. Albertsons SVP of Digital Customer Experience Jill Pavlovich stated: This integration is about creating retail media that helps customers along their shopping journey, showing up in ways that are useful and additive to their experience, while giving advertisers a new path to engage closer to the moment of purchase. The announcement represents a significant evolution in retail media: sponsored products are no longer confined to traditional search results pages but are now embedded directly into AI-driven conversational commerce flows.
Elogic Commerce Partners with Anthropic to Bring Agentic AI to Enterprise Commerce
Source: Retail Dive / Elogic Commerce | Date: June 24, 2026
Elogic Commerce, a digital commerce and customer experience transformation partner for complex B2B, B2B2C, and enterprise ecommerce, announced a partnership with Anthropic as part of the Claude Partner Network. Beginning in July 2026, Elogic will make five Claude-powered offerings available: AI strategy sessions, commerce readiness assessments, internal copilots, AI assistants, and workflow automation pilots for manufacturers, distributors, B2B2C brands, marketplaces, and enterprise retailers. The partnership focuses on practical enterprise commerce use cases including product data enrichment, buyer self-service, internal knowledge assistants, RFQ and quote automation, back-office workflow automation, AI governance, CX optimization, and AI-enabled engineering acceleration. Elogic CEO Paul Okhrem stated: AI in ecommerce will not be won by adding a chatbot to the storefront. The real advantage will come from connecting AI to the systems that control pricing, inventory, product data, customer relationships, and order operations. Elogic works across Adobe Commerce, Shopify Plus, Salesforce Commerce Cloud, BigCommerce, and commercetools.
ISG: AI Adoption Makes Real-Time, Streaming Data Central to Enterprise Operations
Source: ISG (Information Services Group) / Business Wire | Date: June 24, 2026
Global technology research and advisory firm ISG released its 2026 ISG Buyers Guides for Real-Time Data, covering 58 software providers across streaming and analysis of real-time data and events. The research finds that real-time data processing has evolved from a niche capability to a core component of enterprise operations as companies adopt AI agents for immediate, automated decision-making. ISG projects that more than one-third of enterprises will integrate data streaming and processing with AI and generative AI inferencing by 2028 to enable real-time agentic applications, and that more than three-quarters of enterprises will adopt standard information architectures that include streaming data and event processing by 2028. ISG Partner Kathy Rudy stated: For enterprises to stay competitive, the technology they deploy must operate at the speed of business, understanding and acting on events as they occur. Real-time data is essential for generating maximum value from AI agents. In the Buyers Guide for Real-Time Data, AWS was the top Overall Leader, followed by Microsoft and Oracle.
