Methodology: Every two weeks we collect most relevant posts on LinkedIn for selected topics and create an overall summary only based on these posts. If you´re interested in the single posts behind, you can find them here: https://linktr.ee/thomasallgeyer. Have a great read!
Operating Model and Stack Hygiene
Revisit use cases before upgrading platforms to avoid migrating legacy complexity
Remove low-value tools first to create room for meaningful improvements in the stack
Fix foundational revenue leaks and processes before layering AI for real performance gains
Treat Marketing Operations as a discipline with standards, not a tool set seeking certificates
Revenue and growth operators act as architects who design stable GTM systems rather than tool engineers
Marketers should partner with Marketing Operations to implement agentic AI successfully across workflows
Agentic AI and Orchestration
The orchestration layer emerges as central, coordinating systems to deliver consistent omnichannel experiences
Agentic approaches reshape MarTech by changing operating models and community-centric practices, not just adding features
Marketing leaders seek AI that aligns data and guides decisions rather than more disconnected tools
Balancing AI automation with human creativity remains critical for quality and brand integrity
Composable and Warehouse-Native Thinking
Composable AI topics accelerate, with ecosystems exploring how modular capabilities reshape marketing technology
The debate between integrated suites and best-of-breed continues, emphasizing clarity on value extraction over uniformity
Content operations move toward composable models, enabling reusable components and faster experimentation
Data Collection and Tracking
Auto tracking beyond page views increases analysis complexity and shifts effort from tagging to insight generation
Signal loss mitigation becomes tactical, with gateway approaches improving accuracy and downstream ad performance
Teams revisit tagging strategies and server-side patterns to stabilize analytics before scaling AI use cases
Partnerships and Integrations
Credera deepens its Treasure Data collaboration, highlighting personalized experience delivery through CDP alignment
A new collaboration with MartechTribe explores how composable AI will impact marketing technology design and practice
Ecosystem posts emphasize integration quality and governance as the differentiators in multi-platform stacks
Product and Release Notes
Marketo outlined an upcoming release improving Adobe Email Designer, reinforcing editorial control and execution speed
Community voices reassessed platform fit, with some teams exploring alternatives as certain suites lose relevance
Events and Thought Leadership
MOPs-focused conversations prioritized trust, process clarity, and community learning over tool hype
Observations from practitioner gatherings highlighted practical implementation stories and measured AI adoption paths
Thought leaders framed agentic AI as a capability that must be embedded into operating models, not marketed as a standalone tool
Content Supply Chain and Personalization
Applying AI to content supply chains raised throughput and quality while preserving editorial guardrails
Composable content ecosystems were positioned as a foundation for scalable personalization and rapid iteration
Want to see the posts voices behind this summary?
This week’s roundup (CW 42/ 43) brings you the Best of LinkedIn on MarTech Insights:
→ 61 handpicked posts that cut through the noise
→ 35 fresh voices worth following
→ 1 deep dive you don’t want to miss