Marketing management
MarTech is your source for marketing management content. You’ll find a variety of up-to-date and authoritative resources, including the latest news, tactic-rich tutorials, and the latest data to help you work smarter and make better decisions.
What you read here is written by our experienced in-house team of editors and research professionals, and subject matter experts from leading brands and agencies.
Don’t miss out! Get MarTech delivered daily to your inbox. Subscribe for free!
Time saved by using AI is being spent on managing its output
Any time savings from AI are getting eaten up by fixing output, managing fragmented tools, and building the governance needed to make it work.
Your newest competitors aren’t other brands
AI forms buyers' opinions before they visit your website. Learn how to build authority across AI and the sources they trust.
Your best practices may already be outdated
AI is reshaping the assumptions behind decades of marketing strategy, making some familiar playbooks less reliable.
What CMOs should be doing about AI right now
Build AI literacy, rethink team structures and workflows, and prepare your marketing organization for AI-driven change.
Your email program is overdue for a portfolio review
Stop evaluating email one campaign at a time. Review your email ecosystem to decide which programs still deserve your time, budget, and attention.
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.
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.
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.
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 marketing leaders?
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.
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.
Stop adopting AI and start solving problems
Without clear processes, training, and governance, AI can create more work, weaken trust, and increase brand risk.
Marketing artificial intelligence (AI)
Why marketers need to push back against AI
Studies show that relying too heavily on AI can erode critical thinking, making human judgment more valuable than ever.
Where synthetic data fits into customer research
Validate AI-generated insights, establish governance, and prioritize real-world research where it delivers the greatest value.
The most valuable AI skill takes 10 minutes a week
Mastering one AI platform matters less than regularly testing what's new and recognizing when the technology changes.
What future marketers understand about customer decision-making
AI is changing how people evaluate information. The next generation of marketers may already understand what matters most.
The marketing variable no dashboard can measure
New research suggests your CMO's personal life may shape marketing strategy as much as customer data, with implications for every marketing team.
How to build trust when buyers question everything
Firsthand expertise, original research, and transparent thinking carry more weight than polished messaging. Here's why.
The real AI opportunity is creating new value
Cost savings are only the beginning. Learn how organizations move from AI-driven efficiency to entirely new sources of growth.
Marketing artificial intelligence (AI)
Automation doesn’t eliminate vague objectives
Your AI tools may be doing exactly what you asked. That doesn't mean they're doing what the business needs.
Marketing artificial intelligence (AI)
Build your AI skills with a useful home project
Don't wait for your company to figure out AI. Use personal projects to gain practical experience and uncover skills you can apply at work.
How to sustain creative testing without adding headcount
Build a repeatable system for creative experimentation using pre-vetted freelancers, modular briefs, and automated workflows.
The hidden fragility of performance marketing
The pursuit of measurable efficiency can leave brands vulnerable when competitors, platforms, or AI reshape customer discovery.
3 direct mail lessons for evaluating agentic commerce
Before committing to new platforms, identify what your brand will still own, measure, and control when agentic commerce changes.
Better prompts won’t fix your workslop problem
Training, guardrails, and prompt libraries can help reduce AI workslop. The bigger problem is how AI knowledge moves through your organization.
When AI is choosing, how is brand loyalty earned?
Brand loyalty is becoming less about points and perks and more about the signals AI systems use to evaluate trust and relevance.
How CMOs can create clarity in an AI-excess enterprise
Customer feedback, AI insights, and market signals compete for attention. The challenge is knowing what deserves action.
Marketing needs AI outcomes, not more AI pilots
Learn how to identify high-value AI opportunities, prepare teams for adoption, and measure the outcomes that matter to the business.
Marketing artificial intelligence (AI)
Your AI portfolio isn’t an AI strategy
Learn the four questions that reveal whether your AI efforts are creating lasting value or simply generating activity.
How to refresh your brand without losing your audience
Evolve your brand’s look and messaging while keeping the familiarity and trust your audience expects.
Employee advocacy is a growth engine for technical B2B
Buyers trust practitioners more than corporate messaging. Employee advocacy helps technical B2B brands build authority and visibility.
Diversity and inclusion in marketing
Brands want to be in and out of the closet for Pride Month
Many brands ditched public Pride support while quietly continuing to market to LGBTQ+ consumers.
Why platform certification doesn’t equal martech transformation
The biggest risk in martech implementation may be confusing product expertise with operational competence.
Marketing artificial intelligence (AI)
How to make vibe coding sustainable inside the enterprise
AI-generated code moves fast, but organizations still need governance, validation, documentation, and long-term maintenance workflows.
Scale gets you in the door, but workflows keep you embedded
AI makes software easier to replicate. The vendors that last become part of how customers operate every day.
Why marketing measurement needs triangulation
Effective measurement depends on connecting signals across MMM, attribution, and incrementality instead of forcing a single source of truth.
How to prove marketing impact when attribution goes dark
As referral data disappears, this framework helps you measure marketing momentum without relying on perfect tracking.