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

TL;DR — Reddit unveiled 'Max Campaign', an automated media buying tool leveraging Community Intelligence to optimize bidding and creative. Early tests with Brooks Running delivered 37% lower CPC and 27% more clicks compared to manual setups. Tactical implication: Allocate 10-15% of social budget to Reddit Max for a 4-week 'set-and-forget' test against Meta Advantage+.

TL;DR — Home Depot scaled its 'Magic Apron' assistant with multimodal capabilities and launched 'AI Pro Materials Lists' that group items from simple voice/text prompts. New route intelligence now predicts delivery access blockers like narrow streets using Maps data. Tactical implication: Map complex purchase workflows (like project planning) and test an agentic 'list builder' wrapper around existing product APIs.

TL;DR — A r/marketing analysis highlights that blocking AI crawlers (robots.txt) severs a high-intent channel, with one case showing AI referrals converting at 4.4x the rate of organic search. Tactical implication: Audit robots.txt immediately to whitelist OAI-SearchBot, Google-Extended, and Applebot-Extended, treating them as 'high-value affiliates' rather than scrapers.

TL;DR — Authentic Brands Group (Reebok, Juicy Couture) reports 60% higher ROAS using 'Authentic Intelligence' agents on Vertex AI for creative generation. 80% of employees now use the platform weekly for tasks from licensing to legal. Tactical implication: Pilot a 'brand-specific' agent for ad creative generation (using LoRA/Gemini) and benchmark ROAS against manual creative for one quarter.

TL;DR — Dave Griffith argues AI coding tools trigger Jevons Paradox (efficiency increases consumption) strongly in internal tools and gaming, but weakly in Enterprise SaaS. While 25% of YCombinator startups now generate >95% of code with agents, regulated sectors face inelastic demand. Tactical implication: Shift engineering resources from maintenance of internal tools to rapid prototyping of disposable apps.

TL;DR — Salesforce identifies a shift from reactive monitoring to "Command Center" operations where supervisors manage hybrid human-AI workforces. Key features include unified dashboards for agent/bot metrics and "swarming" for rapid escalation in complex cases. Tactical implication: Integrate AI agent performance metrics (like resolution rate by topic) into daily supervisor reporting dashboards.

TL;DR — Autonomous agents currently fail at edge cases because they lack 'context graphs'—structured records of *why* decisions were made. Dharmesh Shah notes most enterprises are still too early in data unification to implement this 'system of reasoning.' Tactical implication: Delay full agent autonomy; instead, manually log decision logic in CRM fields to build training sets for future context layers.

TL;DR — BrightEdge data reveals 34% of AI citations originate from PR coverage, while 10% come from social channels. 'Agentic' crawlers like GPTBot require plain-text efficiency rather than JavaScript-heavy experiences. Tactical implication: Strip JavaScript dependencies from core informational pages and implement schema markup that explicitly defines pricing and availability for agents.

TL;DR — Paid newsletter revenue on beehiiv surged 138% to $19M in 2025, with the median time to first dollar dropping to just 66 days. Open rates remained steady at 41% despite volume growth to 28B emails. Tactical implication: Activate paid subscriptions immediately upon launch for niche content, rather than waiting for arbitrary free-subscriber milestones.