Salesforce pushes agentic marketing from planning to pipeline
Salesforce introduced new marketing agents that can qualify leads, create content, launch campaigns, and optimize performance across channels.
More from MarTech: Page 2
Why ‘it’s just SEO’ could cost the industry billions
Treating generative search as business as usual risks shrinking the very market search marketers should be expanding.
Customer portals, more AI in HubSpot’s April update
April’s HubSpot updates focused on reducing friction for your team and your customers. Here’s what you need to know.
How to activate first-party data across the B2B journey
Behavioral signals, intent data, and AI can improve personalization, sales alignment, and pipeline performance across complex buying journeys.
Why your best campaign may not deserve more budget
Doubling spend on a winning campaign can drive costs instead of revenue if there is no new demand to capture.
Scale gets you in the door, but workflows keep you embedded
AI makes software easier to replicate. The vendors that last become part of how customers operate every day.
What happens to Marketing Cloud as the data layer takes charge at Salesforce?
Salesforce reported a strong quarter, but marketing is taking a back seat to data and AI.
Can marketers navigate AI search’s trust cliff?
New research reveals a growing gap between how often people use AI search and how much they trust it.
Agentforce needed a content layer, so Salesforce is buying Contentful
Salesforce wants enterprises to drop static, channel-specific content in favor of 1:1 experiences at scale. So it went shopping.
Consumers like AI content until they know it’s AI
Consumers often prefer AI-generated content when it is unlabeled, but trust drops sharply once they learn AI created it.
How to balance data control and real-time personalization
Warehouse native CDPs promise cleaner data, but marketers need new strategies to deliver fast, relevant experiences.
Why marketing measurement needs triangulation
Effective measurement depends on connecting signals across MMM, attribution, and incrementality instead of forcing a single source of truth.
How to prove marketing impact when attribution goes dark
As referral data disappears, this framework helps you measure marketing momentum without relying on perfect tracking.
McKinsey frames AI 2.0; Positionless Marketing delivers it
AI 1.0 saved time. AI 2.0 makes money. The marketers who win will be Positionless.
Google adds AI shopping insights to Merchant Center
Google is giving retailers new AI visibility metrics in Merchant Center, offering a closer look at how products surface in conversational shopping results.
How to use B2B PR to shape what AI recommends
AI answers often surface only a handful of vendors. Learn how to improve your B2B brand’s visibility and shape how AI systems frame it.
Marketing artificial intelligence (AI)
The marketer’s new playbook for AI-powered competitive intelligence
Competitor analysis goes beyond dashboards and weekly reports. Here’s how to use AI to think ahead instead of catching up.
AI is powering the loss of B2B marketing jobs
47% of B2B companies reduced marketing roles due to AI, often by quietly eliminating backfills rather than announcing layoffs.
AI is not the skill email marketers need most
The most valuable email marketers know how to apply AI across automation, personalization, analytics, testing, and customer journeys.
AI agents are exposing martech’s weak point
A new API report card reveals major gaps in the systems marketers depend on for automation and AI workflows.
Marketing artificial intelligence (AI)
3 things you must know to get AI-native advertising right
Conversational AI is reshaping advertising through real-time recommendations, dynamic creative, and autonomous optimization.
AI won’t save a broken organization
There was an opportunity for marketing teams to harness AI and change the way they work, and Ryan Warren, chief CRM officer at Razorfish, says many missed it.
The 5 myths of marketing leverage
Most marketing activity creates attention. The campaigns that earn trust and action are built on genuine customer understanding.
How to avoid tone-deaf executive listening tours
Organizations say they value feedback, but employees and customers notice when leadership listens without taking action.
IAB Tech Lab tackles the growing AI bot problem
New guidance from IAB Tech Lab aims to help publishers and content owners decide how to manage AI crawlers, bots, and other non-human traffic.
Marketing on Reddit: What you need to know
What you need to know about marketing on Reddit. Updated with details on the wew features for app advertisers.
AI can scale B2B sales, but only people can build trust
Automation dominates modern B2B selling, but the deals that matter most still close through human relationships.
The real risk of AI is marketing commoditization
AI can speed up every marketing team. The bigger challenge is avoiding commoditization when everyone uses the same tools.
Why martech stacks are getting messier
Companies may be avoiding expensive platform migrations, but they're creating a growing integration and complexity problem.
The AI marketing advantage hiding in your metadata
Companies that organize and structure metadata have a major edge in AI-powered search and personalization.
What Intuit’s layoffs mean for Mailchimp customers
Mailchimp is not shutting down, but Intuit’s latest comments suggest the platform is entering a very different phase.
Consumers want AI ads with a human touch
New research finds consumers accept AI in marketing when it adds value, but many reject ads that feel generic, intrusive, or emotionally hollow.
In agentic commerce, your brand promise must be provable
Consumers may choose brands emotionally, but AI agents will evaluate pricing, service, delivery, and loyalty value.
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.
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.