Articles about
martech

Klaviyo published 260 MCP tools with write access in a single sentence, and published nothing about session lifetime or permissions. In the same four days, a regulator, a messaging provider and a standards body all turned the opt-out path into something with an API and an audit trail.

Which architectural boundaries eight customer engagement platforms moved between May and July 2026, across data, decisioning, governance, openness and channel reach.

The open-tracking pixel became a consent attribute, an entire CDP moved inside the customer's own Snowflake account, and any messaging channel became a no-code configuration. Three items, one week, and the same underlying move: the platform is where your logic runs, not where your state lives.

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.

Adobe took the motivation layer of loyalty into the CEP and left the points ledger behind. Two vendors shipped remote MCP servers and sold the boundary rather than the reach. A week where every new surface arrived with its constraint attached.

In a single week, 6sense put its intelligence behind MCP, Iterable pulled live data into journeys, and Adobe Journey Optimizer shipped both. Three vendors, one move: the line between knowing the customer and acting on them is giving way.

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.

A quiet product week still moved a boundary: paid-media execution is being pulled closer to engagement and automation platforms, while more of the campaign chain is being operated through agentic interfaces. Why that is an architecture question, not a feature one.

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.

One reusable test for any agentic or AI marketing claim: does it improve operational reality under governance, or is it a demo?

Eight platforms, one pattern: an interim synthesis where different CEP physics converge on the same governance-versus-activation failure mode.

A quiet holiday week with no agent launches, yet one of the quarter's most architecturally interesting: catalogs, channels and two intent-layer buys.

Klaviyo as commerce-data proximity: field notes on the storefront as system of record, K:AI agents, and when it strains beyond DTC.

MoEngage as insight-led, app-first activation: field notes on Sherpa, Merlin and Aampe, and when analysing and acting in one seat wins.

CDP beat every rival to become the default name for the customer data layer, then dissolved into packaged, warehouse-native and suite-embedded forms.

DMP ran a decade of digital advertising and then collapsed, even as the identity logic it pioneered survived everywhere else.

Hightouch's LiveRamp bid, Zeta's Palantir partnership, Databricks CustomerLake and Tealium Context API all point to the same shift

Customer Engagement Platform absorbed ESP and MAP, then collided with CDP. That is why it is useful, vague, and dangerous to buy against.

Marketing Automation encoded the funnel into software. It still fits B2B well, but its campaign-tempo model explains why B2C moved toward event-driven

The Email Service Provider faded as a category, but its function still sits inside every modern engagement stack: delivery, reputation, consent

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.

Salesforce signs a definitive agreement to acquire Contentful, agentic marketing platforms converge on the same agent-plus-MCP pattern

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

MCP is moving from isolated platform news to a common access layer for customer engagement platforms.

Agentic AI promises to make MarTech platforms easier to use, but without the right architecture and operating model it moves complexity rather than removing it.

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.

Which architectural boundaries eight customer engagement platforms moved between January and April 2026, across data, decisioning, governance, openness and channel reach.

The Insider One/Bluecore acquisition reframes the CEP M&A logic, Klaviyo reveals the full scope of its B2C CRM ambition

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.

Iterable as the moment engine: field notes on signal-to-moment velocity, Nova Agent, and the composable trade-off for lifecycle teams.

Eight Canvas journeys, seven email templates, a 110-user CSV, and two Word documents, how the operational layer of a Braze sales demo gets built

How I designed and built a working Braze sales demo for an enterprise prospect, why I chose a real site instead of a sandbox

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

A personal reflection on building a website with Astro, Vercel, and Claude Cowork and what AI-assisted development reveals about prototyping, authorship

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

Salesforce Marketing Cloud as CRM gravity: field notes on Agentforce, the Engagement and Next coexistence, and when the anchor helps or hurts.

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

Insider One as user-centric growth: field notes on the CEP that bridges engagement and experience optimization, and where it strains.

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

Braze as the event-driven runtime: field notes on where it wins, where it strains, and how its physics shapes real CEP delivery.

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.