u/Thonwalo

I keep seeing teams try to use ChatGPT/Claude for things like lead scoring, churn risk, upsell potential, and customer health.

It makes sense on paper. LLMs can read CRM notes, calls, emails, tickets, and product summaries way better than old-school dashboards.

But I’m not sure they’re enough on their own. Predicting churn or conversion still feels like something that needs historical outcomes, structured data, and actual model validation.

I saw tools like Pecan ai take more of a predictive analytics approach for sales/marketing teams, which seems different from just prompting an LLM.

Curious how people here are handling this. Are LLMs enough for these use cases, or are they better as an explanation layer on top of real predictive models?

I tried using ChatGPT to analyze customer data and predict churn, but it didn’t work as well as I hoped. Curious if anyone here is using a third-party tool or platform for churn prediction that’s actually reliable.

Would love to hear what you’re using, what you like or dislike, and whether it’s worth the cost.