Marketing technology
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Context engineering is the real AI advantage in marketing
AI performance depends on what it knows, not how you ask. Learn how to structure data and systems for better results.
Marketing artificial intelligence (AI)
Data built modern marketing, but AI is rewriting the rules
Marketers have long treated data as the goal. AI flips that model. Here’s how to adapt your data strategy.
What the top 5% of AI users do differently
Most employees use AI, but only a few use it to create real value. Here’s how to recognize them — and how to help everyone else catch up.
Salesforce Agentforce: What you need to know
We've updated our page on Agentforce with details on the release of Agentforce Operations.
The first-party data illusion
Marketers focus on first-party data promised control. But ownership didn’t solve identity accuracy, activity visibility or customer truth.
Why martech consolidation business cases fall short
Most ROI models ignore adoption gaps, integration work and renewal pricing — leaving teams exposed after the deal is signed.
15 HubSpot updates from February 2026 you don’t want to miss
The February updates expand AI capabilities, improve campaign attribution and remove several long-standing friction points inside HubSpot.
ActiveCampaign extends its AI capabilities with context and scale
ActiveCampaign’s new AI tools alert you to what’s working in your campaigns and beyond and how to fix what isn’t — no prompting required.
Why email is now identity and deliverability infrastructure
Here's how email marketing platforms are evolving and what to look for as deliverability, identity and vendor consolidation reshape the market.
Marketo deprecates SEO feature in latest release notes
The February 2026 Marketo Engage release notes cover sunsetting the SEO tool and new AI-powered content features for Email Designer.
Salesforce brings AI directly into CRM workflows for SMBs
Salesforce is embedding AI directly into its SMB CRM to help small teams turn customer data into action faster across sales, service and marketing.
Why connected customer experiences keep failing
Your martech stack probably isn't the problem. Your operating model is. Here's what a panel of practitioners agreed needs to change.
Breaking through creative ops bottlenecks: Your 2026 technology roadmap
How to win at creative operations without sacrificing quality or burning out teams? Learn how in this guide to building a sustainable martech stack and developing scalable workflows.
AI is repricing the marketing stack, not collapsing it
AI is making coordination tools easier to copy, putting pricing pressure on parts of the marketing stack built on convenience rather than risk.
Why marketing needs a decision infrastructure for AI
AI excels where structure already exists. Context graphs could help marketing capture decision logic and make AI systems more reliable.
The marketing data most companies still fail to measure
Privacy changes are weakening attribution models, making phone conversations one of the most valuable signals in marketing data.
Why vibe coding will disrupt martech’s buy-or-build debate
AI tools could let marketers fill techstack product gaps without waiting on vendors, but it also requires taking on new responsibilities.
Customer relationship management (CRM)
Salesforce and HubSpot reshape partner programs for the AI era
Salesforce and HubSpot tighten partner programs as AI reshapes the tech stack, pushing agencies to specialize and raising the stakes in platform competition.
The 5 trends reshaping identity resolution in 2026
Our new buyer's guide shows how clean rooms, real-time identity graphs and multi-ID ecosystems are changing how marketers connect customer data.
The era of data dominance is over, and it didn’t last very long
Data was the new oil, but context is the new refinery. Because without a refinery, oil is just a smelly, toxic mess that often brings more harm than good.
How to architect AI agents in your martech stack
AI agents introduce probabilistic decision-making into deterministic stacks. Define intent, enforce guardrails and architect agents that scale.
Salesforce targets telecom churn with AI agents
Salesforce launches telecom-specific AI agents to reduce churn, speed quoting and turn service moments into new revenue opportunities.
Marketing artificial intelligence (AI)
Customers want dialogue, and marketers cannot keep up
Salesforce survey finds 83% of marketers saying customers expect two-way conversations, but 69% admitting they can’t respond fast enough.
HubSpot supercharges its media engine by buying Starter Story
By acquiring the profitable, YouTube-first entrepreneur brand, HubSpot is expanding its audience machine and doubling down on media as a demand generation strategy.
Email retention after Gmail’s ‘Manage Subscriptions’ rollout
Six months in, churn remains elevated across industries. Here’s how to respond with engagement-based automation and more disciplined sending strategies.
Writing for GEO feels like early SEO all over again
The shift from ranking to extraction is subtle but significant. Learn how to make expertise easier to use without turning it into formula.
The HubSpot updates you don’t want to miss from January 2026
How do cleaner workflows, smarter segments and less manual cleanup sound to you?
Customer relationship management (CRM)
Your CRM knows more about your buyers than your personas do
Your best marketing insights aren't in a new tool. They're already in your CRM, your CS notes and the systems your team stopped checking.
Marketing artificial intelligence (AI)
Why automating a broken workflow with AI is a trap
Optimizing tasks and ignoring the system, automates waste. This framework lets you map friction and unlock real productivity gains.
Enablement platforms Highspot and Seismic announce merger
The era of sales enablement is giving way to AI-driven revenue enablement that brings GTM teams together.
Is your B2B lead management engine built for today’s reality?
Silent research, fragmented martech stacks and shifting roles demand a lifecycle approach built on integrated data and coordinated execution.
Why marketing automation platforms are becoming decision engines
Marketing automation platforms aren’t just running campaigns anymore — they’re learning, adapting and deciding what happens next in real time.
Marketing artificial intelligence (AI)
Oracle expands its AI agents for marketing, sales and CS teams
Oracle is betting that role-based AI agents — not standalone tools — will let revenue teams cut through data silos and focus more on strategy and growth.
Why context matters as much as data in personalization
True personalization starts with context, not attributes. See how scenario-based design bridges behavioral segments and real-world customer needs.
Why customer success managers are a martech power move
Martech tools are easy to buy and hard to use. CSMs help teams unlock value, avoid renewal surprises and stay ahead of change.
No means no, even when the system refuses to listen
Data-driven marketing can see disengagement clearly, yet keeps pushing. Silence is a signal. Treating it otherwise damages trust.
Why agentic AI is different from traditional marketing automation
Agentic AI goes beyond automation to plan, execute and optimize marketing across channels — with minimal human intervention.
The $2 million martech procurement mistake hiding in plain sight
The real risk in martech isn’t the platform. It’s how teams evaluate, approve and govern procurement decisions.
December 2025 HubSpot updates: Smarter segmentation, tighter AI control, less CRM busywork
December’s HubSpot updates were all about making day-to-day work in HubSpot a little smoother. Here’s what stood out to us.
A practical framework for AI disclosure in marketing
How context, consequence and audience impact should guide when AI disclosure actually matters — and when it doesn’t.