Learn the best email marketing strategies for 2026, including list building, segmentation, automation, personalization, deliverability, and testing. Email marketing keeps changing, but one thing has not changed: it is still one of the most dependable channels for building relationships, driving conversions, and keeping your brand visible. Litmus says 58% of marketing teams send emails weekly or several times per week, and 35% of companies report email ROI of 36:1 or more. That does not mean every email program succeeds. It means the brands that approach email strategically still get real business value from it. The challenge now is not whether email works. The challenge is whether your emails deserve attention in crowded inboxes and whether your sending practices meet today’s deliverability expectations. Google and Yahoo have raised the bar for authentication, unsubscribe handling, and spam control, especially for bulk senders. In other words, good email marketing today is not jus...
Over 85% of AI projects never reach successful deployment. Discover the real reasons why AI projects fail—poor data, unclear goals, lack of expertise, ethical concerns—and how organizations can overcome them to achieve scalable AI success. The AI Hype vs Reality Artificial Intelligence is everywhere—powering customer service bots, predicting diseases, optimizing supply chains, and personalizing online experiences. Yet behind the success stories lies a shocking reality: According to Gartner and MIT Sloan, 80–85% of AI projects fail to deliver expected business value or never go into production. Why? Most businesses jump into AI without the right strategy, data, people, or infrastructure. This article explains the top reasons AI projects fail , with real examples, statistics, solutions, and research-backed strategies. Top Reasons Why 85% of AI Projects Fail Lack of Clear Business Problem or ROI Goal Many companies start AI projects because it's “trending,” not because ...