Bad AI customer agent bots are a growing brand risk
74% of enterprises that deployed AI customer agents have rolled them back after governance failures damaged CX and trust.
More from MarTech: Page 3
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.
Your campaigns span 12 channels. Why does it feel like 12 jobs?
The cross-channel ad ops problem is real and mostly ignored. Here's what it's costing performance marketers — and what's actually changing.
What’s the future of AI and RCS in mobile messaging?
Consumers are caught in a battle between volume and relevance when it comes to messages, and AI can either help or hurt the problem.
B2B buyers trust AI less than marketers think
Gartner research shows buyers want AI speed, but they still turn to humans for confidence and validation.
Why relevance now beats reach in the AI-driven buyer journey
As AI changes discovery, brands need clearer messaging, stronger credibility signals, and content built for influence, not just visibility.
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.
Why some GTM teams move faster than yours.
New global research data reveals the tech gap quietly costing teams speed, revenue, and competitive ground.
Risks to look out for when using vibe coding to replace SaaS
Vibe coding can replace SaaS tools fast, but risks in security, integration and maintenance can quickly outweigh the savings.
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.
Customer experience outweighs brand in AI-assisted shopping
AI recommendation engines rely on reviews, comparisons, and customer signals to decide which brands to surface and trust.
GA4 now tracks AI chatbot traffic automatically
Google Analytics just made it easier to see how much traffic AI assistants are sending to your website.
Publicis buys LiveRamp to build agentic AI capabilities on proprietary data
Data was nice, but high-value, proprietary data you can use to train AI agents is even better.
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.
How to make your content visible to AI buying agents
As AI agents start shortlisting vendors, structured, machine-readable content will determine which brands even get considered.
10 of the most insightful quotes from the May 2026 MarTech Conference
More than soundbites, these 10 quotes reflect the the real-world pressures facing marketing leaders today.
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.
Marketing is entering its ‘air traffic control’ era
Adapting to customer journeys that increasingly resemble competing AI systems interpreting trust, risk, intent, and identity in real time.
The AI search shift changing B2B marketing metrics
Website traffic is losing ground as the primary success metric while AI visibility and lead quality take center stage.
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.
The art of doing more with less: The new marketing operations stack
Stop managing tools and start orchestrating outcomes. At the May MarTech Conference we discussed untangling the ‘AI spaghetti mess’ to move forward.
Why scaling creative is really a leadership challenge
Automation can increase output, but creative effectiveness depends on operational discipline and strategic clarity.
Digital asset management (DAM)
Build a martech stack that makes it easy to manage your brand
Struggling with brand consistency? The solution isn't necessarily more tools. It's the right tools, assembled and aligned with intention.
The confidence layer: Building data foundations marketers can trust
Stop waiting for perfect data. At the May MarTech Conference, we discovered how leaders build the ‘confidence layer’ to drive strategy despite messy inputs.
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.
A challenger brand takes on the stacks
Stacks built on best-of-breed tools carry an integration tax on top of brittle APIs that lead to data loss. Is there a better way?
From permission to personalization: Activating first-party data the right way
At the May MarTech Conference we discussed activating first-party data to drive results without compromising customer trust.
Coca-Cola and partners pushing for new measurement standard
The advertising leader and its partners aim to help marketers with one of today's most significant challenges. But details are sketchy.
How signal-based outreach is changing outbound
Move beyond generic cold outreach and generate more qualified engagement with signal-based outbound strategies.
4 questions you should ask to catch programmatic ad fraud
Programmatic fraud often hides behind opaque supply paths, weak verification, and poorly curated CTV inventory.
AI + human ingenuity: Where creative and technical teams meet
Stop chasing AI tools and start building agents. At the May MarTech Conference, we discussed redesigning workflows to reclaim time for strategy.
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.
Last-click attribution rewards the wrong work in an AI-first world
AI is making marketing influence harder to track. Here’s how to avoid misleading attribution data and make better investment decisions.
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.
Agentic AI use cases: 24 examples from marketing to IT
See how agentic AI can scale, automate, and optimize workflows across marketing, sales, IT, and compliance with 24 real-world use cases.
Reclaiming the power of the story — fueled by data and AI
Stop choosing between AI efficiency and human trust. At the May MarTech Conference, we discussed using data for stories that resonate with buyers.
Medallia survived, but the real story should worry marketers
Medallia’s debt crisis reveals how private equity ownership can quietly reshape the software marketers depend on.
How OSI could finally fix ABM’s biggest data problem
A new standard aims to unify fragmented data, helping ABM programs deliver coordinated, real-time experiences across tools.