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 had built this level of trust and connection with my community.
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 had built this level of trust and connection with my community.
TL;DR: Machine learning in email marketing uses algorithms to personalize content, optimize send times, and predict customer behavior — driving higher engagement and revenue.
TL;DR: Machine learning in email marketing uses algorithms to personalize content, optimize send times, and predict customer behavior — driving higher engagement and revenue.
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.
Something’s been throwing marketers for a loop lately. (Eye-roll level pun very much intended.)
It’s a marketer’s dream: Hosting a sold-out event for 10k attendees. That brands are begging to be a part of. Oh, and that was headlined this year by none other than Taraji P. Henson, Kerry Washington, and Jennifer Hudson.
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.
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.
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.
