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Anyone using intent prediction from online activity for call routing?

The Goodcall post mentions predicting call intent using online behavior, previous calls, and campaign data to route smartly. Example: sending a repeat buyer straight to their usual salesperson. Sounds powerful for B2C – has it worked for you?

Yes, it actually works very well when implemented correctly. Using data like past purchases, previous calls, and online behavior allows businesses to route customers in a much more personalized way. In B2C especially, sending a repeat buyer directly to their usual salesperson creates a smoother and more familiar experience. It reduces the need to repeat information and builds stronger relationships. With business/process automation https://www.goodcall.com/post/what-happens-after-the-first-ring-how-smart-call-handling-drives-more-conversions this becomes scalable and efficient. I’ve seen it lead to faster resolutions, higher satisfaction, and noticeably improved conversion rates over time.

Totally agree—data-driven routing improves personalization and speed. With business/process automation, repeat customers reach familiar agents, reducing friction, boosting satisfaction, and increasing conversions through faster, more efficient interactions.