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AI is moving email deliverability upstream into the decision of whether a message should exist, while AI inboxes make a second decision about whether it deserves attention.

Conversational MarTech interfaces hide system boundaries inside permissions, prompts, definitions, retrieval policies and traces. Five questions and an agent register make them inspectable again.

DXP emerged when websites became complex digital experiences and the CMS was no longer enough. Then the category expanded until it began to describe almost the entire stack.

DAM began as a searchable library for digital files. It became the governance and distribution layer for assets moving across brands, markets, channels and AI-assisted content operations.

MarTech platform decisions are shaped by four gravitational forces: the experience suite, the CRM, the enterprise data layer and the engagement runtime. Understanding which gravity should dominate is more useful than comparing feature lists.

CMS began as a way to publish web pages without editing HTML. It became the structured content layer behind websites, applications, channels and, increasingly, AI agents.

Salesforce agreed to acquire Fin for $3.6B and MoEngage acquired Aampe's per-customer decisioning engine.

After mapping the three CDP–CEP wiring patterns, this is the practical framework for choosing which architecture fits your organisation.

Databricks launched an agentic CDP inside the lakehouse, GEO became a buyable category almost overnight, and Salesforce shipped Summer '26.

Salesforce's agreement to acquire Contentful is not just a CMS move. It is another chapter in its long-running content-layer battle with Adobe.

Activation inside the CDP, the CDP inside the CEP, or best-of-breed apart: three ways to wire customer data and engagement, and what each choice really implies.

Marketo brings MCP to the MAP layer, Iterable ships the unglamorous fundamentals, Mailchimp complicates its own strategic signal

Zero-copy activation is not just a new integration pattern. It is a signal that customer engagement architecture is moving closer to the data warehouse

AJO's May release, Bloomreach's governance update, and Klaviyo's AWS Marketplace listing all point in the same direction

After 25 years, email is still the highest-ROI channel in the stack. But the platforms delivering it in 2026 are fundamentally different.

A personal reflection on how AI-assisted work reshaped my practice: from AI as a thinking surface to AI as a building partner

Hightouch at $2.75B, Canva buying Ortto, Braze's operational consolidation drop and AJO's march toward autonomous journey management.

Agentic Marketing Is No Longer a Roadmap Item. A week of MarTech releases that belong together: AJO's orchestration intelligence layer

For 25+ years I tried to stay current in this industry through newsletters, bookmarks, RSS feeds and conference roadmaps. None of it worked as a system.

Adobe Journey Optimizer's March 2026 release promotes Landing Page Custom Forms to General Availability.

Martech has a naming problem. Every few years a new (or rather, a resurrected one) acronym shows up promising to solve what the previous…

Adobe Journey Optimizer as suite gravity: field notes on when AEP foundations make it fly, and when they leave it stuck in traffic.

Bloomreach as commerce and product intelligence: field notes on the commerce-first CEP and when its zero-latency loop actually pays off.

Why this CEP field-notes series exists: the operating model and data architecture decide outcomes, not features. One platform per article.

The MarTech landscape is collapsing the distance between customer data and customer action.

The architectural revolution that eliminated Latency Debt: the mandatory leap from slow batch processing to Real-Time Intelligence.

After 25 years in MarTech, I’ve watched “Marketing Automation” die a slow death. The modern customer demands a real-time system of intelligence.

The future of marketing isn’t automation — it’s collaboration between human imagination and machine intelligence.

Why rules-based automation breaks under if/then sprawl, maintenance debt and latency, and how predictive models replace static segments with real-time decisions.

How the pursuit of scale led to the Algorithmic Apathy — and why the next years belong to real-time, event-driven Customer Engagement.