Marketing artificial intelligence (AI) – Page 4

What is Replit, and how can marketing and marketing ops pros use it?

Marketing artificial intelligence (AI), MarTechBot, Million byte

In MarTech’s “MarTechBot explains it all” feature, we pose a question about marketing to our very own MarTechBot, which is trained on the MarTech website archives and has access to the broader internet. Replit is an online integrated development environment (IDE) that enables users to write, run and share code in various programming languages directly from […]

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Salesforce Agentforce: What you need to know

Marketing artificial intelligence (AI), Marketing technology, Million byte, Salesforce

We’ve updated our page on Agentforce with details on Agentforce for Revenue. Since its launch at the Dreamforce conference in September 2024, Salesforce Agentforce changed the conversation around AI, customer experience and customer service. Shortly after the launch, Salesforce announced it was hiring more than 1,000 employees to meet the demand for Agentforce. At the

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Making AI deep research work for strategic marketing tasks

Marketing artificial intelligence (AI), Marketing management, Million byte

Recently, I put some of the newer, more powerful deep research tools through their paces to see if AI coulRecently, I put some of the newer, more powerful deep research tools through their paces to see if AI could handle the kind of deep, strategic research marketers have to do but rarely have time for.

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Why AI spending isn’t boosting marketing

Marketing artificial intelligence (AI), Marketing automation, Marketing operations (MOps), Million byte

Imagine a company investing heavily in faster ambulances while ignoring the pothole-riddled road that keeps causing accidents. It sounds weird, but, according to a new survey, this is happening in marketing AI investments across the private sector. Executives pour money into downstream solutions like personalization engines and content generators while the real marketing processes bottlenecks

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Distributed storefronts demand smarter, faster brand strategy

Digital transformation, ecommerce, Identity resolution, Marketing artificial intelligence (AI), Million byte, Optimization and personalization

Every media experience is now a storefront or leads directly to one within seconds. Social content, search results, shoppable ads, influencer videos, retail media, product pages, even physical shelves — are all nodes in a sprawling, real-time commerce ecosystem. For today’s brands, the store is no longer a destination. It’s a persistent layer woven across

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Woman giving a customer experience rating

When AI makes customer experience feel personal

customer experience, Marketing artificial intelligence (AI), Million byte

We’ve all felt the frustrating side of automation — irrelevant marketing emails, clunky digital workflows, or robotic customer service that leads you in circles. Too often, technology is used to reduce costs or speed up interactions at the expense of real connection. But every so often, a company gets it right. Instead of relying on

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How to build a hyper-precise audience-first ad campaign

What marketers can learn from manufacturing’s shift to precision CX

B2B marketing, B2C marketing, customer experience, Customer service and success, Marketing artificial intelligence (AI), Million byte, Optimization and personalization, Project and workflow management

When a procurement manager logs into a manufacturer’s portal at 2 a.m. to urgently source replacement parts, they don’t want a beautiful browsing experience—they want their specific parts, with their negotiated pricing, in under 30 seconds. The manufacturing sector is about precision—tolerances measured in thousandths of an inch, supply chains timed to the minute, quality

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Before scaling AI, fix your data foundations

Marketing artificial intelligence (AI), Marketing technology, Million byte

Generative AI (genAI) is rapidly transforming the martech landscape, with adoption accelerating and companies of all sizes scaling pilots into fully functional solutions. But for marketers still in the early stages of developing genAI workflows, one factor matters most: data readiness. That readiness begins with structured, high-quality data feeding into the right workflows. A robust

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The latest AI-powered martech news and releases

B2B marketing, B2C marketing, Marketing artificial intelligence (AI), Million byte

These both happened this week: Apple’s investors are unhappy with CEO Tim Cook for not spending enough on AI In SEC filings, major U.S. corporations admit there’s no ROI for their AI spending To me, that means Cook is upholding his fiduciary responsibilities by not throwing away money on AI. He’s better off waiting for

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