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CRM success starts with your people, not your platform. In this blog, we break down the 12 essential roles every CRM project team needs—plus real-world lessons on what happens when those roles are missing. Whether you're implementing Microsoft Dynamics 365 or another CRM, this guide helps you build the structure, alignment, and accountability needed for lasting results.

Getting your sales team on board with a B2B e-commerce strategy isn’t just about adding another channel—it’s about unlocking new revenue streams and increasing efficiency. This blog explores how to shift mindsets, align goals, and empower your sales team to see e-commerce as a partner, not a competitor. The result? A stronger, more scalable sales approach.

Revenue growth isn’t just about hustle—it’s about smart tools. In this blog, we explore how generative AI is changing the game for sales, marketing, and customer success teams. Learn how small and mid-sized businesses are using AI not just to automate—but to accelerate. If growth is the goal, generative AI might be your secret weapon.

The AI revolution isn’t coming—it’s already here. But moving from hype to real-world results takes more than buzzwords. In this blog, we explore how businesses are turning AI’s promise into measurable impact across operations, strategy, and customer experience. Discover where the real value lies—and how to stay ahead in this rapidly shifting landscape.

Understanding your customer journey is more than a marketing exercise—it’s a growth strategy. In this blog, we introduce our free eBook on customer journey mapping, packed with insights to help you visualize, optimize, and improve every stage of your customer’s experience. Learn how to spot gaps, uncover opportunities, and create better connections that drive loyalty and revenue.

Gaining insights into AI’s influence means looking beyond the hype and into history. This blog explores how past technological revolutions shaped industries, disrupted norms, and laid the groundwork for today’s AI evolution. By understanding where we've been, we can better anticipate where generative AI might take us next.