AI is mainly used in three ways: answering common customer questions automatically (self-service), helping human agents respond faster and more consistently, and analyzing customer data to flag accounts that might be at risk before they churn. It's less about replacing people and more about removing repetitive work so teams can focus where it matters.

Churn usually isn't one big dramatic event — it's a buildup of small frustrations: slow response times, having to repeat information across different support channels, feeling unheard, or not getting value from a product fast enough. Most churn is preventable if a business can spot the warning signs early enough to act.

Support is typically reactive — it exists to fix problems after they come up. Success is more proactive — it's focused on helping customers get long-term value from a product and stay retained. Many businesses used to run these as separate teams, but the trend now is toward combining them so nothing falls through the cracks.

It's significantly cheaper to keep an existing customer than to win a new one — some estimates put it at 5 to 25 times more expensive to acquire versus retain. Retained customers also tend to spend more over time and are more likely to refer others, so even small improvements in retention rate can have an outsized effect on revenue.