I’m going to be real with you: I’m exhausted. We blinked, and it felt like everything was run by artificial intelligence (AI). I’m being dramatic, of course, but AI is transforming how we work, play, and live faster than any tech I’ve seen in my decade-long marketing career.
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TL;DR: Enterprise generative AI tools are advanced software platforms designed to automate and enhance marketing, sales, and customer service at scale. The best tools integrate with your CRM, unify customer data, and support secure, governed workflows. To choose the right solution, focus on proven use cases, integration depth, governance controls, and measurable ROI. Start with a clear rollout plan, align …
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In the first episode of my Nudge podcast, I interviewed the fantastic psychologist Dr. Adrian North, who conducted one of the seminal studies on the psychology of music.
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At 28, I thought I was building the life I’d always dreamed of. I got engaged, shared it with my audience, and then brought them along on the journey. Over 10 million people watched my “Get Married With Me” video across my platforms. It was one of the most beautiful moments of my life, magnified by the fact that I …
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A few months back, I was having a bit of a professional identity crisis. And it’s all thanks to answer engine optimization (AEO) and AEO best practices.
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If there’s one thing I’ve learned in years as a marketer, it’s that understanding the key distinctions of content marketing versus inbound marketing can transform how you attract and convert customers.
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Email marketing analytics have evolved far beyond open rates and click-throughs. Today’s AI-powered analytics can predict which subscribers are most likely to convert, optimize send times for maximum engagement, and track every dollar of revenue back to specific campaigns.
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AI usage is on the rise, especially in marketing. Data from HubSpot’s AI Trends in Marketing report showed that 74% of marketing professionals use AI for their work. With so many marketers using AI, it is important to acknowledge and solve for its known limitations, particularly the biases that are baked into it.
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TL;DR: Machine learning in email marketing uses algorithms to personalize content, optimize send times, and predict customer behavior — driving higher engagement and revenue. You can unify your CRM data and automate workflows to use ML for dynamic personalization, send-time optimization, and predictive lead scoring without a data science team.
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Every January, I sit down to write my predictions for the year ahead in social media and consumer behavior. And this year, one trend stood out to me more than anything else: the rise of customers as influencers.
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