Consumers are still buying. They’re just harder to convince.
Economic pressure hasn’t stopped online shopping, but it has made consumers more skeptical, more price-conscious, and more willing to check the offer.
Economic pressure hasn’t stopped online shopping, but it has made consumers more skeptical, more price-conscious, and more willing to check the offer.
AI can make work faster while leaving teams unable to prove the value. The problem starts before launch, with weak baselines and success metrics.
Useful offers are common. Meaningful recognition is not, and consumers are quick to walk when brands ask for too much without a clear reason.
Advertisers plan to spend more, but slow activation and weak measurement can still cost networks money.
Companies are spending heavily on AI, but most agent projects are still short of full scale and many marketing teams can’t show clear financial value.
Faster service is part of AI’s promise. Customers aren't impressed when speed comes with unresolved problems and no easy way to reach a person.
AI agents are spreading across the GTM stack, but many teams lack the visibility and ownership needed to keep track of what they do.
Nearly 81% of consumers who use chatbots for online shopping have decided against a purchase based on AI guidance.
IAB finds advertisers spending more and adapting to AI-driven discovery, but their ability to measure those new customer journeys is lagging.
AI is accelerating software decisions while quotes, approvals, and sales handoffs discourage buyers ready to spend.
Marketers are giving AI more authority even as bad CRM data undermines revenue measurement, reporting, and the decisions AI makes.
Marketing data influences budgets, but only 49% fully trust its accuracy and completeness. Disconnected reporting is behind the confidence gap.
Disconnected systems create missed work and hours of admin. The real measure of martech productivity is how much work the stack eliminates.
As AI takes on more execution, there is more need for marketers who bring judgment, strategy and the skills to direct the technology.
AI is accelerating marketing production, but most teams still measure clicks instead of business outcomes, limiting their ability to prove AI's impact.
Any time savings from AI are getting eaten up by fixing output, managing fragmented tools, and building the governance needed to make it work.
New research found marketers invest in targeting, AI, and creative while neglecting the post-click experiences they say drive paid media ROI.
AI adoption is nearly universal in CX, but organizations are divided on architecture, governance, and building customer trust while proving ROI.
Rules-based automation is reaching its limits, making DAM a critical source of context for AI-powered content workflows.
A new survey suggests operational bottlenecks, not software limitations, are preventing marketers from acting on insights.
New research shows buyers are ready for AI-powered experiences, while many organizations still struggle to deliver them.
More tools, more channels, and more data have left many marketers struggling to connect activity to outcomes.
47% of B2B companies reduced marketing roles due to AI, often by quietly eliminating backfills rather than announcing layoffs.
New research finds consumers accept AI in marketing when it adds value, but many reject ads that feel generic, intrusive, or emotionally hollow.
New report shows consumers are using AI more, which likely explains growing skepticism about its accuracy, automation, and influence.
Email is crucial to business success, but many marketers still struggle to measure ROI and make the case for more investment.
Marketing budgets are increasingly driven by what teams can defend, not just what performs, concentrating spend in a small set of trusted channels.
New research shows AI is already shaping product discovery and purchases, but a large gap between usage and trust is creating new challenges for marketers.
As confidence in AI ROI slips, it’s a sign marketers are raising the bar — and getting serious about real business value.
55% of U.S. B2B marketers reported budget increases in 2026, while 37% were asked to make cuts — most of them under 10%.
DAM is no longer a static archive — it’s evolving into a powerful engine for efficiency, collaboration, and go-to-market success.
Where your industry falls on the disruption curve will determine whether you gain ground or get left behind.
Most B2B marketing leaders see AI as a productivity booster, but only a small fraction trust it with strategic decisions like positioning or long-term planning.
Stable prices have consumers moving back toward quality and trust after several years of embracing less-expensive store brands.
67% of agencies are still in an explorative phase with generative AI.
Marketers are buried in dashboards and metrics but still struggling to answer the most important question — what’s actually working?
A majority of marketers report stronger results from their content strategies this year — and it’s not just because of new tech.
Marketers may be bullish on AI’s customer experience benefits—but consumers aren’t feeling it, and the disconnect could cost brands their credibility.
Conversational AI has gone mainstream, with more than 80% of consumers using it in the past three months.
AI won't work if you can't feed it data, and it's going hungry at many organizations.