Integrations

This post explores what CRM predictive analytics is, how it works, and the real ways it’s helping sales teams grow revenue and strengthen customer relationships.

The truth is, a CRM alone isn’t a magic solution. Without the right strategies and implementation, those silos can persist—even with the best tools. Let’s dive into what’s going wrong, how data silos are holding your team back, and how to finally break them down for good.

Struggling with a cluttered CRM? Our latest blog dives into the essentials of CRM hygiene—how to organize your system, streamline processes, and keep your data fresh to drive better results and team efficiency.

Is your call center technology keeping up with the times? Rising customer expectations and relentless technological advancements are changing the call center as we know it — and fast. Gartner predicts that by 2025, four out of every five customer service organizations will use generative AI to enhance agent performance and better meet customer expectations.1 Falling behind on trends like these could mean longer wait times, frustrated customers, and, ultimately, lost revenue. That’s why we’re here to clue you in. Below, we explore five predictions for how technological advancements will shape the future of call centers.

Juggling a growing influx of leads, providing personalized service across multiple channels, and maintaining high customer satisfaction can feel like an endless balancing act. But artificial intelligence (AI) is transforming the call center industry by offering innovative solutions to these challenges and others. AI-powered customer relationship management (CRM) and CRM platforms are at the forefront of this transformation — with many call center leaders already using AI tools to improve efficiency, return on investment (ROI), and more.1 In this article, we look at five ways AI is influencing CRM and redefining call centers.