Does anyone understand the CDP market anymore?
The CDP space re-invented itself in the past three years through AI agents and M&A. BlueConic CEO Melissa Murray Bailey helps us sort it out.
More from MarTech: Page 4
Marketing artificial intelligence (AI)
The problem with AI doing exactly what you ask
AI agents don't need to go rogue to create problems. They can simply pursue a poorly defined objective with remarkable effectiveness.
IAB Tech Lab proposes new rules for programmatic
The proposed practices aim to give buyers and sellers clearer rules for using existing standards and reducing friction in programmatic transactions.
Companies are measuring AI against the wrong goal
AI productivity gains won’t translate into growth unless companies connect their AI strategy to creating more value for customers.
Salesforce bets CRM experience can give its AI an edge
Koa puts decades of Salesforce’s CRM knowledge into a reasoning model built to handle the operational work behind customer interactions.
The next martech strategy starts with the operating environment
The people who “just know how things work” have been the hidden infrastructure of martech. AI is making that impossible to ignore.
ChatGPT Ads are a tactical bet, not a platform strategy
Marketers have a short-term opportunity to test inexpensive inventory while keeping most of their resources on Google.
Why marketing keeps redrawing its org chart
Every marketing org structure solves a different problem. The challenge is knowing when your current model has stopped solving yours.
Marketing artificial intelligence (AI)
3 ways to make AI safer in a live ad account
Automation layering techniques can be deployed to successfully make AI-driven PPC safer.
The AI performance shake-up: What’s really driving results across channels now
When algorithms hide your campaign levers, tracking true impact gets tricky. At the MarTech Conference, we discussed how to regain visibility and drive growth.
Marketing artificial intelligence (AI)
Who owns your AI agents after they launch?
AI agent ownership often falls between teams. Here’s how to assign responsibility for maintenance, oversight, and retirement.
The ultimate battle for your digital storefront
AI search engines are rewriting the rules of retail. Here is how to keep your brand visible when algorithms replace human shoppers.
AI exposes what your brand guidelines leave unsaid
Brand teams have always relied on people to interpret vague guidelines. AI turns those hidden assumptions into a problem that can scale fast.
Lost in translation: Why content and data teams can’t speak the same language
At the September MarTech Conference, we discussed how content and data teams can align signals, build shared context, and drive outcomes.
FTC puts personalized pricing practices on notice
The agency isn't banning personalized pricing, but sellers may have to explain when and how customer data affects prices.
AI is changing media faster than marketers can measure it
IAB finds advertisers spending more and adapting to AI-driven discovery, but their ability to measure those new customer journeys is lagging.
AI can scale your promises faster than you can build trust
Your AI strategy shouldn’t be judged by how much marketing it produces. Look at whether it makes the next customer interaction easier to earn.
The real AI decision every CMO is making this quarter
AI is making common marketing capabilities easier to buy. The harder question is which company-specific workflows are worth owning.
The engagement illusion: What actually gets attention (and what gets ignored)
AI makes producing content fast, but earning true attention is harder than ever. At the September MarTech Conference, we discussed cutting through the noise to create meaningful engagement.
The answer to your martech problem depends on the problem
Buying more, improving how teams use what they have, and cutting the stack can all work — but not for the same reasons.
How to create B2B content that buyers keep using
As AI makes content easier to create, the opportunity is to build resources that help buyers make decisions, solve problems, and take action.
AI is putting marketing’s in-house model to the test
CMOs once asked agencies to prove their value. AI could force them to answer the same question about their own teams.
Marketing artificial intelligence (AI)
Your marketing agent is working. Can you see what informs its recommendations?
Agentic marketing works best when marketers can inspect the data and evidence driving an agent's recommendations.
Your next CMO will come from marketing operations
The CMO role is evolving, from creative to technical, and it may have finally found a C-suite ally in the CIO.
Built for yesterday: Why your data architecture can’t keep up with AI
Struggling to power AI with outdated systems? At the September MarTech Conference we discussed how composable data architecture enables real-time decisions without a rebuild.
Marketing artificial intelligence (AI)
What WYSIWYG editors can teach us about AI and jobs
From WYSIWYG editors to vibe coding, technology keeps shifting where human skills matter rather than simply eliminating them.
Marketing artificial intelligence (AI)
A better way to answer the AI ROI question
A three-layer framework separates AI foundations, working systems, and business outcomes without claiming revenue that can’t be proved.
The data trust crisis: Why your customer data is getting worse
Unreliable customer data threatens your personalization and ROI. At the MarTech Conference we discussed how to navigate data decay and build a high-trust measurement framework.
Marketing artificial intelligence (AI)
Why AI hasn’t solved marketing’s time problem
AI makes it easier to produce marketing content, but faster production doesn’t mean more time for strategy, planning, or better work.
Your 2027 B2B CTV budget needs evidence now
Run a narrow test now to learn what CTV costs against your actual accounts and whether the channel is worth funding next year.
Why growing restaurant chains win at local search and AI visibility
Research finds a measurable digital visibility gap between expanding and shrinking restaurant chains across search, reviews, social, and AI.
Marketing without signals: How to perform when the data disappears
Navigating signal loss without losing momentum is a hurdle for every marketing leader. At the MarTech Conference we talked about building control with the data you already own.
10 Salesforce Winter ’27 updates marketers need to know
From Agentforce campaign creation to cleaner reporting, these are the Winter ’27 changes with the biggest impact on marketing teams.
Software buyers are moving faster than software sellers
AI is accelerating software decisions while quotes, approvals, and sales handoffs discourage buyers ready to spend.
The next CDP decision goes beyond the CDP
As composability becomes standard, the real question is where customer data, intelligence, and decision-making should live.
Google loses the ad monopoly case, but keeps the monopoly
A federal judge found Google illegally monopolized key ad-tech markets, but rejected the remedy that could have fundamentally reshaped them.
Rapid AI changes mean GEO is a weekly job now
AI answers keep changing, so PR, SEO, and content need a shared view of what buyers ask, which sources get cited, and what moves each week.
What’s next in content operations? Agents (what else?)
Orange Logic SVP Misti Vogt tells us why old ways of managing digital assets are failing, and why the future of content operations belongs to agentic systems.
Marketers are media measurement’s biggest problem
Stop customizing your way around fragmented data. Start unifying it for your own reporting and for an industry waiting on you to lead.
OpenAI’s audacious ad revenue claim
OpenAI is making ChatGPT ads easier to buy. That's a long way from proving advertisers will spend the $100 billion it projects for 2030.