Signal orchestration reveals which accounts are ready to buy
Combine intent, engagement, firmographic, and buying committee signals to identify readiness and trigger more effective engagement.
Marketing artificial intelligence (AI)
OpenAI tests multi-advertiser ad placements in ChatGPT
OpenAI is testing multi-advertiser placements in ChatGPT while adding new targeting and campaign tools that expand its ad platform.
Fuel up with free marketing insights.
Marketing artificial intelligence (AI)
The latest AI-powered martech news and releases
A German court says Google can be liable for false claims in AI Overviews, a decision that could reshape legal risks for AI search platforms.
How events are helping marketers cut through the noise
The noise on digital channels is driving marketers and their customers back to in-person events.
Marketing needs AI outcomes, not more AI pilots
Learn how to identify high-value AI opportunities, prepare teams for adoption, and measure the outcomes that matter to the business.
Marketing artificial intelligence (AI)
Your AI portfolio isn’t an AI strategy
Learn the four questions that reveal whether your AI efforts are creating lasting value or simply generating activity.
Gartner finds CMOs spending more on digital and acquisition
CMOs are spending more on digital media and acquisition as consumers grow more skeptical of AI-generated content and its value.
The martech categories hit hardest by AI agents
The SaaStr API report card reveals which platforms are agent-ready — and which are at risk of being replaced
AI skills: The next layer of marketing automation
Learn how to install, deploy, and brand AI skills to turn generic chatbots into your agency’s custom, scalable operating system.
What is martech and marketing technology?
Martech (a.k.a., marketing technology) includes the marketing software applications and marketing platforms) used by marketing and marketing operations professionals.
Marketing artificial intelligence (AI)
OpenAI tests multi-advertiser ad placements in ChatGPT
OpenAI is testing multi-advertiser placements in ChatGPT while adding new targeting and campaign tools that expand its ad platform.
Marketing on LinkedIn: What you need to know
Your guide to LinkedIn's tools, strategies and best practices. Updated with information about the new reach analytics metric.
How to refresh your brand without losing your audience
Evolve your brand’s look and messaging while keeping the familiarity and trust your audience expects.
Stop treating search and video as separate teams
The strongest campaigns connect creative, media, search, and measurement into a single demand generation strategy.
How to rank for SaaS in AI search
Want more AI-driven leads? Learn how SaaS brands can influence AI recommendations, improve sentiment, and increase visibility across leading LLMs.
How AI is turning lead scoring into a decision engine
Predictive models and real-time signals are replacing static scoring, helping sales focus on leads most likely to convert.
Employee advocacy is a growth engine for technical B2B
Buyers trust practitioners more than corporate messaging. Employee advocacy helps technical B2B brands build authority and visibility.
Diversity and inclusion in marketing
Brands want to be in and out of the closet for Pride Month
Many brands ditched public Pride support while quietly continuing to market to LGBTQ+ consumers.
Why platform certification doesn’t equal martech transformation
The biggest risk in martech implementation may be confusing product expertise with operational competence.
Marketing measurement is breaking under its own complexity
More tools, more channels, and more data have left many marketers struggling to connect activity to outcomes.
AI agents can’t help if they can’t see your marketing data
MCP solves the infrastructure problem that kept AI agents stuck at the analysis stage. But raw access to a live ad account is a liability without the guardrails a platform like Optmyzr provides.
Optimization and personalization
53 marketing personalization case studies and statistics you can use to justify investment
Looking for statistics to support investing in marketing personalization? Use this data-packed roundup to secure your next personalization buy-in!
Marketing artificial intelligence (AI)
Snowflake’s new AI tools target a marketing pain point
The company is building a platform that lets marketers use AI across the customer journey while maintaining governance, privacy, and data quality.
B2B services in AI search: Increase visibility in AI answers
Your next client may find you through AI. Learn how B2B firms can earn mentions, citations, and recommendations in ChatGPT, Gemini, and Google AI Mode.
Marketing artificial intelligence (AI)
How to make vibe coding sustainable inside the enterprise
AI-generated code moves fast, but organizations still need governance, validation, documentation, and long-term maintenance workflows.
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.
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.