Easy, fast, and unified. We’ve talked to a lot of customers about what they need from their tools to grow, and it always comes back to these three words. So why does go-to-market feel so hard, slow, and disconnected? Two words: legacy CRM.

The concept of customer relationship management (CRM) has existed for decades, and there are more tools than ever for understanding and engaging with customers. The problem is, legacy CRMs have never fully delivered on the promise of being the source of truth about your customer. They are too hard to use and adopt and, even in the best case scenario, they struggle to capture engagement data about your customer.

Experimentation is central to making evidence-based decisions, and this is where A/B testing has always shined. But with the advent of AI, we now have tools for AI A/B testing, making experimentation smarter, faster, and infinitely more manageable.

AI A/B testing gets you real-time reports and lets you test multiple hypotheses in a few clicks. To explore the magic that AI brings to A/B testing, I spoke with CRO experts who shared their unique insights.
On top of that, I’ll also take you through the benefits, limitations, and best practices for integrating AI into your A/B testing process.