The age of the AI shopping agent isn’t here… yet
Grant Deken from Klaviyo discusses how AI is changing the way consumers shop. But will it ever change how they make a purchase? Most likely, yes.
More from MarTech: Page 4
The real GTM advantage is owning language and signal
Most deals are decided before the funnel starts, and marketers who don’t own buyer language and signal are losing before they even start.
Middle managers are the missing link in AI adoption
Executives set the vision and teams test tools, but transformation happens in the middle. Equip managers to drive AI-powered workflow change.
Salesforce brings AI directly into CRM workflows for SMBs
Salesforce is embedding AI directly into its SMB CRM to help small teams turn customer data into action faster across sales, service and marketing.
Email personalization has an overuse problem
Hyper-personalized email campaigns can feel intrusive and create subscriber fatigue. Learn when personalization actually adds value.
Why connected customer experiences keep failing
Your martech stack probably isn't the problem. Your operating model is. Here's what a panel of practitioners agreed needs to change.
Too many workflows are breaking marketing automation
Marketing automation breaks when teams build new workflows for every campaign instead of designing systems that scale and stay manageable.
The new must-haves in B2B ecommerce tech stacks go beyond CRM and CMS
As B2B buyers expect more B2C-like experiences, ecommerce marketers need tools that go far beyond the basics.
5 LinkedIn ad tactics for B2B marketers
Five LinkedIn ad tactics — from video to Thought Leader Ads — that helped improve B2B campaign performance in 2025 and are worth testing in 2026.
Breaking through creative ops bottlenecks: Your 2026 technology roadmap
How to win at creative operations without sacrificing quality or burning out teams? Learn how in this guide to building a sustainable martech stack and developing scalable workflows.
Take the 2026 State of Your Stack Survey
The martech landscape is shifting fast. Share your expertise in the 2026 survey to help the community benchmark AI, data and stack strategy.
Most consumers use AI, but few fully trust it
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.
Breaking free from data prison with a roadmap to unified customer insights
At the March MarTech Conference, we discussed how to escape 'data prison' by focusing on operating models and culture over tech to finally end marketing silos.
When AI decisions create customer friction
When AI systems misread signals and make automated decisions, the friction customers experience erodes trust, retention and revenue.
Why emotion data is changing how ads get tested
Emotion data reveals how audiences actually respond to creative, helping brands fix weak messaging before spending millions on media.
Say goodbye to busywork: Rethinking marketing workflows for a smarter future
At the March MarTech Conference, we talked about transforming your workflow from a bottleneck into a growth engine.
Brands that win are clearer, not louder
Your marketing may look desperate — and everyone can tell. Brands that chase relevance and attention often end up signaling nothing at all.
AI is repricing the marketing stack, not collapsing it
AI is making coordination tools easier to copy, putting pricing pressure on parts of the marketing stack built on convenience rather than risk.
AI’s disruption of online commerce is just starting
AI agents might not be taking your list to the store just yet, but AI is still reshaping the world of retail.
How to build context-aware customer experiences
At the March 2026 MarTech Conference, we discussed why your operating model, not your tech, is the key to stopping customer friction and aligning your teams.
7 ways to revive dormant email lists without wrecking deliverability
Reviving dormant email lists can drive pipeline, but doing it wrong can damage deliverability. Here’s how to bring old subscribers back safely.
Marketing artificial intelligence (AI)
IAB proposes new payment rules for AI content access
The IAB Tech Lab’s new protocol aims to create payment rails for AI systems using publisher content, potentially reshaping how information is valued online.
Why marketing needs a decision infrastructure for AI
AI excels where structure already exists. Context graphs could help marketing capture decision logic and make AI systems more reliable.
Why the future of marketing looks like product management
Marketing leaders are shifting from channel optimization to product thinking, connecting media, UX, data and outcomes across the entire customer journey.
The marketing data most companies still fail to measure
Privacy changes are weakening attribution models, making phone conversations one of the most valuable signals in marketing data.
Why vibe coding will disrupt martech’s buy-or-build debate
AI tools could let marketers fill techstack product gaps without waiting on vendors, but it also requires taking on new responsibilities.
A 90-day plan to build AI-citable authority
This framework uses original data, tools and cross-channel content to drive AI citations and high-intent leads.
How shaping AI buying can boost B2B CMO strategic influence
As AI increasingly evaluates vendors before buyers do, CMOs who control structured data, proof and category language can influence who makes the shortlist.
McKinsey’s ‘Organize to Value’ a blueprint for evolving to positionless marketing
Analysis shows that unclear objectives, uncommitted leaders, a stagnant culture are the culprits behind failing operational transformations... not technology.
AI speeds up CX, but alignment still decides success
AI improves the speed and scale of customer experience decisions, but won't resolve organizational alignment problems behind most CX failures.
Customer relationship management (CRM)
Salesforce and HubSpot reshape partner programs for the AI era
Salesforce and HubSpot tighten partner programs as AI reshapes the tech stack, pushing agencies to specialize and raising the stakes in platform competition.
Why direct traffic in GA4 isn’t what it looks like
Direct traffic isn’t always intentional. In GA4, it often captures missing referrer data, untagged campaigns and AI-influenced visits.
How B2B marketers can prepare for AI agents that do the buying
As AI agents take a larger role in B2B purchase research, optimizing your content and data for machine-readability could become a competitive differentiator.
Organic search is fundamentally disrupted. Here’s what to do about it.
With Google referrals down and LLM use rising, discoverability now depends on metrics, structure and authority — not rankings alone.
Navigating identity in a cookieless, compliant world
At the March MarTech Conference, we discussed how the end of cookies is a chance to trade 'creepy' tracking for real trust.
Why your outreach fails before prospects even read it
Messaging success depends on how buyers process what they read. Learn how readability, tone, cognitive load and channel influence response.
Why organic search is becoming a brand trust channel
Search is shifting from traffic acquisition to brand trust. Learn why narrative control, authority and omnipresence now define SEO success.
Marketing artificial intelligence (AI)
Why most marketers are still only experimenting with AI
Executives are pushing hard for AI adoption, but most marketing teams lack the needed strategy, training and data.
Showing up in the age of AI search
At the March MarTech Conference, we explored how to pivot from SEO to "Search Everywhere" and stay visible as AI changes the discovery landscape.
The 5 trends reshaping identity resolution in 2026
Our new buyer's guide shows how clean rooms, real-time identity graphs and multi-ID ecosystems are changing how marketers connect customer data.