Marketing management
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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.
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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.
McKinsey frames AI 2.0; Positionless Marketing delivers it
AI 1.0 saved time. AI 2.0 makes money. The marketers who win will be Positionless.
Marketing artificial intelligence (AI)
The marketer’s new playbook for AI-powered competitive intelligence
Competitor analysis goes beyond dashboards and weekly reports. Here’s how to use AI to think ahead instead of catching up.
AI is powering the loss of B2B marketing jobs
47% of B2B companies reduced marketing roles due to AI, often by quietly eliminating backfills rather than announcing layoffs.
The 5 myths of marketing leverage
Most marketing activity creates attention. The campaigns that earn trust and action are built on genuine customer understanding.
How to avoid tone-deaf executive listening tours
Organizations say they value feedback, but employees and customers notice when leadership listens without taking action.
AI can scale B2B sales, but only people can build trust
Automation dominates modern B2B selling, but the deals that matter most still close through human relationships.
The real risk of AI is marketing commoditization
AI can speed up every marketing team. The bigger challenge is avoiding commoditization when everyone uses the same tools.
Your company may be slow with AI, but you can’t afford to be
Experimenting with AI now gives you the advantage when everyone else tries to catch up.
Marketing artificial intelligence (AI)
Marketing teams must own AI, or workslop will take over
AI mandates without structure are creating workslop across marketing teams. Here’s how to build a smarter adoption strategy.
Marketing silos are the symptom, not the problem
Campaign-based execution created disconnected teams, tools, and data. AI is enabling a more unified operating model.
What marketing can learn from IT about running complex technology
Martech stacks have outgrown project-based management. Marketing teams need stronger ownership, governance, and service models.
AI made marketers faster, but organizations stayed the same
AI tools improved how specialists work, but most organizations still operate through the same approvals, handoffs, and bottlenecks.
AI is moving too fast for static strategies
The companies pulling ahead with AI are not predicting the future better than everyone else, they are learning and adapting faster in real time.
5 reasons branding belongs in your GTM strategy
From sales alignment to customer retention, a clear brand strategy helps companies grow faster and compete more effectively.
Why scaling creative is really a leadership challenge
Automation can increase output, but creative effectiveness depends on operational discipline and strategic clarity.
Why AI makes brand leadership more important
Companies without clear brand relevance and long-term strategic stewardship risk losing AI visibility and differentiation.
The 4 marketing metrics that matter in the boardroom
CMOs can lose credibility when they rely on analytics theater. Focus board conversations on the metrics tied to revenue and profitability.
How signal-based outreach is changing outbound
Move beyond generic cold outreach and generate more qualified engagement with signal-based outbound strategies.
The dangerous gap between AI output and actual understanding
AI makes it easier than ever to produce impressive work. It’s also making it harder to tell who actually understands the strategy behind it.
Marketing artificial intelligence (AI)
CMOs are buying AI that their organization isn’t ready for
A new Gartner survey finds most marketing organizations are investing heavily in AI while lacking the processes and infrastructure to scale it successfully.
Your team has already voted on your martech stack
When marketing teams lose faith in enterprise platforms, unofficial tools and hidden workflows take over.
Optimization and personalization
Why AI personalization strategies fail
Most personalization plans collapse during execution because operational realities don't match the vision.
How marketing leaders are succeeding in the AI era
Despite AI reshaping markets, most CMOs are still seen as execution-focused, creating a gap that threatens their strategic relevance.
Things are not as bad as you think in marketing
From risk aversion to missed opportunities, negativity bias impacts marketing outcomes. Correct it with data, AI, and diverse perspectives.
Gartner: 40% of agentic AI projects will fail, making humans indispensable
The failure rate is not about technology. It is about the humans deploying it... and the ones missing from the equation entirely.
The martech investment nobody budgets for
Martech performance depends on more than tools. Training, process, and data discipline determine whether your stack delivers results.
Marketing artificial intelligence (AI)
Vibe coding is hollowing out the martech stack fast
Marketers are replacing SaaS tools with AI-built alternatives, driving churn and shifting where real value in martech now lives.
Optimization and personalization
Why contextual collaboration is replacing personalization
Prebuilt campaigns are losing ground to continuous decisioning. Marketing teams need systems that respond as context evolves.