Why Nintendo won’t use AI in its marketing
If there’s one thing marketers agree on, it’s that personalization done right can get you conversions. However, personalization increases the marketing cost and may increase past a profitable ROI. How do you know when you’re at that point? Benjamin Bloom has the answer. He lays out the seven steps to transform your campaign operations into a scalable production line using hot-off-the-presses data. Also, using AI in creatives is a sore spot for consumers and creators. Jessica Foster tells why six brands — including Nintendo! — have vowed to never use it. Constantine von Hoffman Managing Editor | | |
Marketing artificial intelligence (AI) | | AI for customer engagement sounds simple — until data gaps, team silos and missing talent derail it. Here’s what it really takes to succeed. | | |
Marketing artificial intelligence (AI) | | AI images are showing up in an increasing number of advertisements. Consumers are pushing back, and so are these brands. | | |
Marketing artificial intelligence (AI) | | At Pegaworld, the company showcased AI-powered tools to simplify how enterprises automate work, build applications and upgrade outdated systems. | | |
Marketing artificial intelligence (AI) | | This guide covers five grounded, real-world ways marketers are using AI right now to improve efficiency without sacrificing quality. | | |
Optimization and personalization | | A Gartner study found personalization is taking up more marketing budget, but CMOs don't know how much it really costs. | | |
Social media marketing | | Crumbl faces a $24 million lawsuit for using unlicensed music on TikTok. Here's how to avoid the same mistake. | | |
MarTech intelligence reports | | Marketing automation was supposed to eliminate busywork. So why are so many teams still bogged down by disconnected tools, clunky workflows, and half-used features? This guide will help you break the cycle. | | |
Marketing artificial intelligence (AI) | | Most teams lack an AI roadmap or strategy, and most companies lack the policies and procedures needed to implement the technology effectively. | | |
What they're saying | “Forward-thinking companies are capturing cost reductions and revenue increases where they’ve deployed AI. These results come from those who recognize implementation as a transformation journey requiring significant investment in people, processes and technology, not a quick fix.” – Gene De Libero in Why AI-powered customer engagement projects fail before they start. “AI is controversial with consumers. Consider the backlash Duolingo, a popular language-learning app, faced after its CEO declared the company to be “AI first” — a statement many users saw as a tone-deaf dismissal of human labor, especially following recent layoffs of contract translators.” – Jessica Foster in 6 brands taking a stand against AI content. | | |
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