Why affiliate marketing still needs humans in the AI era
As AI reshapes martech, affiliate programs highlight where human expertise still drives performance and results.
AI moved forward, marketing did not
Marketers were early adopters of AI, but while it has evolved most teams are still stuck using it like a smarter autocomplete.
Fuel up with free marketing insights.
Digital asset management (DAM)
Can DAMs keep up as content demands outgrow workflows?
New MarTech research shows that as asset volume and personalization increase, DAMs' focus must shift to content management at scale.
The art of doing more with less: The new marketing operations stack
Learn how to transform your MOps function from a support role into a proactive driver of business growth and innovation at the May 6th MarTech Conference.
Marketing artificial intelligence (AI)
Why we trust AI when it makes things up
As AI gets more fluent and human-like, our instincts to trust it are making catching hallucinations more difficult.
AI shopping hits a trust ceiling even as AI adoption rises
Most consumers use AI to research products, but hesitation around payments shows a clear ceiling on how far AI commerce can go.
Marketing artificial intelligence (AI)
The latest AI-powered martech news and releases
As AI billionaires cash in, they’re already gearing up to sell the public on a feel-good story no one asked for and even fewer will buy.
Your marketing automation isn’t broken, it’s overloaded
As workflows pile up, automation systems become harder to trust, slowing campaigns and creating inconsistent results.
AI moved forward, marketing did not
Marketers were early adopters of AI, but while it has evolved most teams are still stuck using it like a smarter autocomplete.
Marketing artificial intelligence (AI)
Delegated authority is the missing layer in the AI martech stack
Scaling AI without a clear governance layer risks uncoordinated liability. Delegated authority gives your agents the guardrails needed to act with confidence.
How to focus marketing on high-impact work
If your marketing team spends too much time on low-effort, mind-numbing work, burnout is only one problem headed your way.
Salesforce launches Agentforce Operations to automate back-office work
New AI agents aim to cut manual tasks and speed up workflows across disconnected systems in the back office.
What vibe coding misses and what open source gets right
As AI-driven development accelerates, ownership and maintenance questions grow. Here’s how open source offers a path forward.
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.
The confidence layer: Building data foundations marketers can trust
A shaky data foundation makes bold campaigns feel like a gamble. Learn how to fix technical debt and build a system that empowers your entire team.
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.
IAB Tech Lab updates OpenRTB to better define live content
New OpenRTB updates aim to clarify live content signals and pricing in programmatic as CTV and real-time inventory continue to grow.
10 lessons from real-world ESP migrations
ESP migrations impact data, workflows, and deliverability. Here’s how to plan, execute, and stabilize the transition without disrupting performance.
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.
Confident marketing starts with better data
Data decay, dark funnel gaps, and identity issues limit visibility. Learn how to turn scattered signals into a connected, usable foundation.
What marketers need to know from Google Cloud Next ’26
The biggest takeaway is Google's strategy for embedding its Gemini AI models into tools marketers already use.
Warehouse-native CDPs vs standalone platforms explained
Choosing between your data warehouse and a packaged CDP depends on control, speed and operational complexity.
Customers want personalized marketing. Why can’t most brands deliver?
Your customers may not use the phrase ‘personalized marketing,’ but they recognize it when it works.
Customer relationship management (CRM)
How CRM became the backbone of customer engagement
CRM now acts as an operating model for marketing, connecting data, teams, and decisions to improve engagement and business outcomes.
Why relevance now beats reach in the AI-driven buyer journey
Buyers are forming opinions before they click. Learn how to show up in AI answers, earn trust in peer networks, and influence decisions earlier.
15 HubSpot updates from March 2026 managers and admins need to know
The March updates focus on giving teams more flexibility, more precise control over automation and timing.
Consumers ditch the funnel as behavior gets more fluid
New data shows buyers jumping between watching, browsing, and buying, forcing marketers to rethink rigid funnel models.
From permission to personalization: Activating first-party data the right way
On May 6th, learn how to activate first-party data to drive measurable results without compromising customer trust or safety.
LinkedIn’s AI is changing how content gets distributed
LinkedIn’s latest AI changes are redefining how content gains reach, favoring expertise, consistency, and meaningful signals like saves.
Martech replacement is slowing, and that changes everything
New data shows martech replacement rates are dropping fast, signaling a shift from constant churn to a more cautious, efficiency-driven approach.
If your AI content feels generic, this is why
AI needs clear inputs to produce consistent outputs. Here’s how to structure brand voice so it works across prompts, tools, and teams.
A whole new way to think about TV advertising
TV advertising has ruled the media roost for 75 years. Now, advances in targeting and product placement are re-writing the playbook.
B2B marketers are drowning in data but starving for insight
Long sales cycles, weak attribution, and underused fundamentals are holding B2B teams back. Here’s where data breaks down.
How to choose the right research partner and get better B2B results
Not all partners deliver. Learn how to evaluate audience access, subject matter expertise, and distribution commitment before you commit.
AI + human ingenuity: Where creative and technical teams meet
Integrating AI shouldn't mean breaking what works. On May 6, discover practical ways to sync your creative and tech teams while protecting your brand voice.
Marketing artificial intelligence (AI)
Microsoft updates ads platform for AI-driven discovery
Microsoft is adding tools to help brands stay visible as AI agents take a bigger role in search, shopping, and decision-making.
U.S. state data privacy laws: What you need to know
Updated with information on new privacy laws in Rhode Island, Oklahoma, and Alabama.
Marketing artificial intelligence (AI)
Before you buy another AI tool, ask these 5 questions
Buying AI is easy. Making it work across data, workflows, and teams is not. Here’s how to evaluate tools before you invest.
5 B2B marketing tactics beyond lead generation
High lead volume often hides deeper issues. Learn how to align your strategy with buyer behavior, intent, and long sales cycles.