Machine learning in email marketing: What drives revenue growth (and what doesn't)

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.
How to create AI prompts that eliminate bias and increase conversions

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.