Marketing artificial intelligence (AI)
Marketing’s AI challenge goes beyond adoption
Researchers found marketers value AI's efficiency but remain concerned about organizational readiness and the profession's future.
Open source made MMM cheaper, not easier
Free tools have lowered the cost of marketing mix modeling, but data quality and human expertise remain the biggest barriers to success.
Fuel up with free marketing insights.
Why AI-ready data infrastructure is so hard to build
Many companies try to fix everything before using AI. Learn why starting with one important problem works better.
Why marketers should measure relationships, not leads
Lead volume shows activity. Relationship-led metrics reveal if marketing improves pipeline quality, win rates, and long-term growth.
Customer relationship management (CRM)
Creatio takes aim at the enterprise Frankenstack
The company's latest platform combines CRM, AI agents, and workflows to replace disconnected point solutions with a single operating environment.
Open source made MMM cheaper, not easier
Free tools have lowered the cost of marketing mix modeling, but data quality and human expertise remain the biggest barriers to success.
Digital video enters a new era of competition
Digital video now dominates TV ad spending, shifting marketers' focus from channel selection to targeting, measurement, and AI-powered execution.
Run this AI audit before your next budgeting cycle
Evaluate AI adoption across your marketing team with a practical framework that goes beyond industry benchmarks.
Why marketing conferences are still worth it
Travel, expense, and exhaustion are real. So are the relationships, ideas, and opportunities that keep companies and people coming back.
Marketing artificial intelligence (AI)
5 questions to ask AI vendors before you buy anything
Cut through AI hype by evaluating business value, data policies, customer proof, and implementation before you invest.
Transactional, triggered, and promotional emails: What’s the difference?
These three email types may look similar, but they serve different purposes, follow different rules, and drive revenue in different ways.
Why CIPA is changing the conversation around digital tracking
CIPA is prompting companies to rethink tracking, consent, and data collection. Here's what marketers need to know and how to respond.
Is Open Semantic Interchange your data silo cure?
Breaking down marketing database silos requires more than APIs. Here is how the Open Semantic Interchange standardizes metadata.
The secret to scaling vibe coding isn’t better prompts
Turn AI-generated code into maintainable software with a prompt log that improves governance and accountability.
AI adoption hits 90% as CX deployment paths diverge
AI adoption is nearly universal in CX, but organizations are divided on architecture, governance, and building customer trust while proving ROI.
If your martech stack could talk, what would it say?
Good martech tools can't deliver value without ownership, governance, and the operational discipline to keep them working together.
Who trains tomorrow’s marketers if AI does the work?
As AI takes over entry-level marketing tasks, how do organizations help people develop the judgment needed to be a marketing leaders?
Marketing artificial intelligence (AI)
The latest AI-powered martech news and releases
Zoom's acquisition of Common Room adds AI-powered buyer intelligence to its growing enterprise sales platform.
You’re using AI to scale the wrong part of GTM
Use AI to eliminate busywork and uncover better account insights so your team can spend more time building the relationships that win deals.
Why your CAC keeps rising while deals don’t improve
The missing link between awareness and trust may explain why higher acquisition costs aren't producing better business outcomes.
Marketing on LinkedIn: What you need to know
Your guide to LinkedIn's tools, strategies and best practices. Updated with info on the new creative tools for small and growing businesses.
Content management systems (CMS)
The CMS is becoming the AI operating system for brands
Choosing a CMS now means preparing for AI discovery, governance, personalization, and agents. Learn what to look for in your next platform.
Marketing artificial intelligence (AI)
Getting started with Hermes Agent Desktop
Learn how to install Hermes Desktop, connect a model, create reusable skills, and keep marketing workflow context under your control.
Why AI search makes trust your most important visibility signal
See how AI systems evaluate brands and why authority, reputation, and technical SEO increasingly influence who gets surfaced and recommended.
The future of performance marketing isn’t more vendors. It’s making your stack work harder.
As performance pressures mount, the future of marketing success lies in transforming your data foundation into a strategic AI-powered engine for growth.
Customer relationship management (CRM)
HubSpot reverses course after customers reject data sharing
Beyond the backlash lies a bigger issue for marketers: when vendors need customer data for their products, who captures the value?
HubSpot’s May 2026 updates: Breeze gets serious, automation gets smarter, and your data gets cleaner
May's HubSpot updates focused on making AI an active participant in your work, not just a tool you prompt.
Marketing artificial intelligence (AI)
3 AI agents to improve marketing workflows
Pilot AI agents with a shared source of truth, practical KPIs, and human oversight that keeps strategy and quality on track.
How AI discovery is changing everything marketers measure
AI-powered discovery is reducing the value of traffic-based metrics. Here’s what to measure instead to understand marketing performance.
Turning marketing complexity into a competitive advantage
More channels, more AI, and more data create new opportunities and challenges. Learn how to build a marketing ecosystem that scales.
The hidden forces behind B2B buying decisions
Your deals aren't won or lost on product alone. Learn why personality, politics, culture, and unseen stakeholders often determine the outcome.
Marketing artificial intelligence (AI)
How to build a Hermes Agent-style workflow
Most AI tool workflows send the model far more data than it needs. The fix is a simple shift that cuts waste without cutting capability.
The hidden cost of your fragmented martech stack
Why your favorite best-of-breed marketing tools might be creating a structural complexity wall that actively slows down your revenue operations.
FREE! The email subject line rules that don’t hold up!
New research based on 4.6 billion emails challenges some of marketing's oldest subject line advice and offers a framework for testing what works.
Stop adopting AI and start solving problems
Without clear processes, training, and governance, AI can create more work, weaken trust, and increase brand risk.
AI visibility depends on who writes about your brand
Strong rankings don't guarantee AI visibility. Learn what drives citations and how to measure your brand's presence across AI platforms.
HubSpot’s Warmly deal points to the next generation of CRM
HubSpot's acquisition shows CRM platforms are evolving from customer databases into AI systems that identify buying intent and take action.
U.S. state data privacy laws: What you need to know
Updated with information on new privacy laws in Louisiana and Vermont.
Practical advice for scaling start-up marketing
Don't take your start-up marketing advice from LinkedIn. We're talking to someone who's been there and done that.
What Meta’s broad targeting teaches us about optimization signals
The event you optimize for increasingly determines who algorithms find, how they allocate spend, and the business outcomes your campaigns produce.
The rip-and-replace pitch is out of step with today’s buyers
The default martech sales motion asks you to tear out your stack and bet 18 months on a rebuild. Buyers increasingly prefer a different path.