Has anyone piped Jobber’s 2-way text messaging into an external AI analysis tool?
In our cleaning business, recurring clients rarely cancel out of nowhere with a big complaint. They usually 'quietly quit' first (subtle tone shifts in text messages, skipping one clean, delayed replies to scheduling texts, neutral feedback on post-clean forms, or short voicemails).
We’re looking to feed multiple touchpoints (Jobber two-way SMS, email chains, voicemail transcriptions, and Tally survey feedback) into an external AI client-care system to catch churn risks before they actually ask to cancel.
For those using the Jobber API or tools like Zapier:
- How cleanly can you extract incoming and outgoing 2-way SMS conversations from Jobber in real time?
- Are you triggering webhooks per message, or syncing notes/activity logs into an external database?
- Has anyone set up a churn-risk alert system that actually works without creating tons of false alarms?