Marketing artificial intelligence (AI)
The latest AI-powered martech news and releases
Scott Brinker says AI removes the human friction that used to catch bad decisions, making context an operations problem, not a prompt-writing problem.
Your team already owns the hardest part of AI context: deciding what's approved, what's off-limits, and who gets the final say.
Fuel up with free marketing insights.
Marketing artificial intelligence (AI)
Scott Brinker says AI removes the human friction that used to catch bad decisions, making context an operations problem, not a prompt-writing problem.
Shared resources offer scale and control. Local teams offer speed and flexibility. How to decide where different marketing capabilities belong.
What you need to know about marketing on Reddit. Updated with details on the new tests of advertising in search results.
Faster drafts don't mean faster campaigns. Tackle approval bottlenecks, empower teams to make decisions, and measure the gains.
AI agents could be the key to meeting the crazy expectations of consumers, but only if they're used wisely.
Your team already owns the hardest part of AI context: deciding what's approved, what's off-limits, and who gets the final say.
Coordinate brand, paid media, and retail media funding while preserving each team’s goals and keeping annual retailer commitments visible.
Salesforce is buying Cresta to bring AI voice agents into customer calls, tying conversations more closely to CRM data and its broader Agentforce push.
Marketing artificial intelligence (AI)
Adobe research also found that AI traffic converted 90% better than non-AI traffic.
Purchase history tells only part of the story. Identity resolution and consumer intelligence help brands understand what matters now.
B2B creators are turning expertise into profitable businesses, while brands find new ways to reach buyers through trusted voices.
B2B companies that avoid saying who they’re wrong for are letting buyers, competitors, and AI systems do it for them.
Marketing artificial intelligence (AI)
The biggest opportunity for AI in marketing could be the questions you haven't thought to ask — and the customer behaviors they reveal.
Use structured auditing frameworks to eliminate duplicate software, trim SaaS bloat, and align spending with core business outcomes.
Your best-performing channel may get too much money while higher-value customer opportunities go overlooked.
Tool adoption stalls when teams feel unsafe. On Nov. 4, discover how to turn AI apprehension into confident, high-value execution.
20 ads may all test the same idea. Better performance comes from changing the variables that give the algorithm something new to learn.
Waiting until Cyber Week is too late. Run holdouts early enough to see which channels create lift, then move budget before the expensive days arrive.
AI can make work faster while leaving teams unable to prove the value. The problem starts before launch, with weak baselines and success metrics.
AI agents are changing how marketing teams work. On Nov. 4, learn how to build workflows that combine AI efficiency with human judgment, quality control and governance at the free November 4 MarTech Conference.
Chasing AI visibility can lead to generic content, weaker differentiation, and declining trust. Here's what deserves your attention.
AI can make campaign metrics look better while producing less business value. The risk is optimizing faster toward the wrong goal.
You're swimming in data and AI tools. Is any of it really helping you better understand your customers?
Technology and organizational challenges seem to grow with marketing spend, despite more access to tools, according to data from StackAdapt.
Customers can discover, compare, and buy your products without you knowing. Your marketing organization needs to adapt.
Algorithm updates and endless manual workflows are draining. On Nov. 4, learn how AI transforms marketing automation into your strongest strategic partner.
Customers could gain tighter activation and AI connections while facing tougher choices about products, pricing, and long-term lock-in.
AI makes repurposing event content easier. Here's how to prioritize what matters, get it to the right audiences, and show its value.
MQLs, last-click attribution, channel silos, and generic content are losing ground as B2B marketing shifts toward trust, AI visibility, and revenue.
MOps teams are shifting from task executors to AI fleet managers to run autonomous agents alongside traditional software.
Some of Marketo's original architects bet AI can replace the complex workflows and manual configuration marketers have relied on for decades.
Confusing navigation, vague claims, and missing evidence cost you buyers. See how cognitive-load testing helps identify and address these barriers.
Useful offers are common. Meaningful recognition is not, and consumers are quick to walk when brands ask for too much without a clear reason.
Marketing metrics show what happened in a campaign. The harder job is connecting customer behavior to growth, margin, and profit.
Before overhauling your SEO strategy, look at branded search, high-intent visits, and pipeline data to see whether there's actually a problem.
On Nov. 4, learn how composable martech can help marketers integrate AI, reduce vendor lock-in, and modernize their technology stacks without starting from scratch.
ChatGPT visitors converted at a higher rate, but Google organic still drove 27 times as many conversions as all LLMs combined.
Marketing artificial intelligence (AI)
Your AI agents may follow instructions perfectly — and still get things wrong. The problem could lie in the documents they rely on.
Marketing artificial intelligence (AI)
AI draws on creator reviews, product experiences, and consumer sentiment to inform recommendations. Here's why that matters for brands.
Static journeys can’t keep up with modern buyers. On Nov. 4, discover how real-time AI decisioning helps you build dynamic, high-impact customer experiences.