The daily briefing for AI marketers, growth hackers, and operators.

TL;DR — Salesforce discusses new challenges in email marketing and strategies to overcome them. Trend: Increasing email volumes demand more personalized content. Play: Use AI to segment audiences and tailor email content for higher engagement rates.

TL;DR — Microsoft introduced AI Max for Search campaigns and updated 3 core areas—measurement, commerce, and media—to track how brands appear in AI-generated answers. The platform updates shift focus from traditional clicks to securing citations within conversational interfaces. Tactical implication: Audit 10-15 of your top products using the Universal Commerce Protocol in Merchant Center to ensure AI agent discoverability.

TL;DR — Over 1,770 customers are already using Adobe's 10+ purpose-built AI agents as the company rebrands Experience Cloud to an AI-first CX Enterprise architecture. The platform introduces continuous 'Coworker' agents that orchestrate tasks using Human-in-the-Loop for creative ideation and Human-on-the-Loop for consumer-facing guardrails. Five major agency holding companies are integrating directly into the new Workfront-powered Agency System of Record layer. Tactical implication: Audit existing Adobe integrations and evaluate if new Coworker agents can consolidate disconnected project tools into a unified operational layer.

TL;DR — A five-layer data infrastructure is required to fix the broken feedback loop between B2B marketing and sales, shifting focus from siloed department tools to a lifecycle operating system. MarTech outlines that foundational bidirectional integration between CRM and marketing automation must precede data warehouse consolidation. Implementing a B2B Customer Data Platform (CDP) closes the activation gap by pushing unified profiles back into paid media tools. Tactical implication: Map the current data flow from CRM closed-lost deals back to paid media channels to identify and repair broken feedback loops.