Better marketing starts after the results come in
Don’t let the campaign report end the conversation. Asking why and testing your hypothesis turns results into better decisions.
Why long sales cycles make B2B marketing hard to measure
Long B2B sales cycles make most marketing measurement unreliable. Learn why clicks, leads, and conversions don’t tell the full story.
Fuel up with free marketing insights.
Run fewer incrementality tests and get more from them
Prioritize tests where uncertainty has real financial consequences, then use the results to guide decisions long after the test ends.
Marketing on LinkedIn: What you need to know
Your guide to LinkedIn's tools, strategies and best practices. Updated with info on the new AI-powered Recommended Clips and Chapters feature.
The terrifying math behind your new AI workforce
Autonomous marketing agents promise massive labor savings, but ballooning API fees and middleware costs can easily break your technology budget.
The power of connected customer history
Why transaction data alone isn't enough for performance marketing, and how persistent customer profiles change the equation.
B2B marketers don’t trust the data used to shape budgets
Marketing data influences budgets, but only 49% fully trust its accuracy and completeness. Disconnected reporting is behind the confidence gap.
What the teams getting the most from AI do differently
Teams built around autonomy, experimentation, and cross-functional work can turn AI’s speed into faster campaigns without adding headcount.
The engagement illusion: What actually gets attention (and what gets ignored)
AI makes producing content fast, but earning true attention is harder than ever. On Sept. 2, we'll discuss how to cut through the noise and create meaningful engagement.
HubSpot July 2026 updates: Agent Hub arrives and more ways to control what you see
The July 2026 HubSpot updates focus on giving you more control over what shows up where, and folding every AI agent into one place to manage them.
Why long sales cycles make B2B marketing hard to measure
Long B2B sales cycles make most marketing measurement unreliable. Learn why clicks, leads, and conversions don’t tell the full story.
Business websites dominate Gemini’s local AI citations
Nearly 60% of Gemini’s local citations point to business websites, but recommendations can change dramatically when using identical searches.
Marketing artificial intelligence (AI)
The latest AI-powered martech news and releases
Seismic and Highspot's merger creates a bigger GTM platform, but how useful will it be to customers with disconnected data and processes?
How to tell if your personalization is over the line
Before using customer data to personalize an experience, test whether customers expect it, find it relevant, and feel comfortable with it.
Marketing contribution is the new attribution
Attribution turns complex buyer journeys into neat charts. Marketing contribution looks at the content, conversations, and decision points those charts miss.
Google gives political email a lane around spam filters
New program shows how Gmail is using sender verification and recipient feedback to decide who gets preferential inbox treatment.
Getting your brand ready for AI agent discovery
Being included in an AI answer isn't the same as being chosen. Here's what determines the difference.
Turn scattered AI wins into an organizational advantage
Useful AI practices often get trapped in personal docs and Slack threads. Here's how to spread them across the organization.
Built for yesterday: Why your data architecture can’t keep up with AI
Struggling to power AI with outdated systems? On Sept.2, learn how composable data architecture enables real-time decisions without a total rebuild.
AI visibility index shows which brands are disappearing
Some brands dominate Google yet barely surface in AI answers. Here’s where traditional authority and AI recall diverge.
Marketing artificial intelligence (AI)
IAB updates standard for disclosing AI in ads
IAB’s updated framework draws the AI disclosure line around what changes consumer perceptions of authenticity, identity, and what’s real.
How to overcome the 3 barriers to AI adoption
The biggest barriers to AI adoption may be internal: inconsistent training, bias concerns, and tactics that get ahead of strategy.
How to stop overpaying for AI complexity
Rule-based, predictive, generative, and agentic systems come with very different costs and risks. Start with the lightest approach that can do the job.
Why LinkedIn doesn’t really care about AI slop
The problem is AI is perfect for producing the polished, predictable business speak the platform rewards.
Why buyers hate your multi-year software overhaul
B2B buyers are growing more risk-averse. Here is how to restructure engineering and pitches around modular API integration models.
The next AI opportunity is deciding where to spend
AI is moving deeper into media buying and budget allocation, helping marketers put more of their spending into what’s working.
Customer journey orchestration
Stop treating every customer touchpoint the same
The moments that drive growth can also drive churn. Learn how to spot them and respond when the stakes are highest.
How to decide what’s important when everything is urgent
Every task consumes time and resources. Here’s a system for deciding what earns a place on the agenda and what doesn’t.
The 2027 CMO planning challenge is bigger than the budget
More budget won't fix a marketing model that no longer fits how buyers discover, evaluate, and decide. CMOs need to rethink where they invest.
The data trust crisis: Why your customer data is getting worse
Unreliable customer data threatens your personalization and ROI. On Sept. 2, we'll discuss how to navigate data decay and build a high-trust measurement framework.
Is your martech stack costing more time than it saves?
Disconnected systems create missed work and hours of admin. The real measure of martech productivity is how much work the stack eliminates.
The AI debt hidden in faster marketing
Marketing can produce more with AI, but every new capability creates work to govern, integrate, measure, and maintain. That’s where AI debt builds.
Here’s the first martech category replaced by AI
CI tools are losing ground to ChatGPT, Claude, and Gemini. Here's why stale battlecards may be the bigger problem.
Marketing without signals: How to perform when the data disappears
Navigating signal loss doesn't mean guessing. On Sept. 2, we'll explore how to rebuild your measurement stack in a world with fewer signals.
When marketers should ignore the data
Not every change in a marketing metric deserves a response. Marketers need to separate temporary fluctuations from signals worth acting on.
5 brands whose small actions drove big returns
AXA, Suncorp, Idomed, Heineken, and Molson got big business results from small creative ideas, showing a different model for earning attention.
Programmatic video needs more visibility into AI-driven decisions
AI is making adtech decisions harder to see, putting pressure on platforms to explain outcomes and prove their value.
B2B growth doesn’t end at closed-won
From first value to expansion, a strong post-sale system helps B2B companies compound the value of customers they’ve already won.
A 7-step guide to running ads on ChatGPT
ChatGPT Ads work differently from other ad platforms. Here’s what early campaigns reveal about CPCs, targeting, measurement, and performance.
How AI, publishers, and social media are rewriting product discovery
Product discovery now spans AI, social, publishers, creators and communities. Here’s how brands can influence purchase decisions.
IAB Tech Lab releases new privacy standards
Rules aim to keep up with evolving state laws and to make it easier to communicate consumer privacy choices.