Zoice tracks NPS, CSAT, and sentiment across every conversation, fires churn alerts when an account turns negative, and calls with a personalised save offer — with full memory of everything the customer has told you before.
Churn-risk save call
Hi Meera, I'm calling from your broadband provider. I can see you've raised three speed complaints this month, and your renewal is next week — I wanted to check in before that. Is the issue still happening?
Honestly, yes. I've already started looking at other providers.
That's completely fair, and I'm sorry it got this far. Here's what I can do right now: book a priority engineer visit for tomorrow morning, and apply a loyalty credit to your renewal while we fix it. Would that work?
If the engineer actually shows up this time — okay.
Booked: tomorrow, 10 am–12 pm, and the credit is applied. I'll message you on WhatsApp after the visit to make sure everything's resolved.
Churn reasons are extracted on every call, so you fix root causes — not just symptoms.
The signals were in your conversations all along — nobody was listening at scale.
By the time a cancellation request lands, the customer decided weeks ago. The warning signs were in their support conversations.
A human renewal desk can't call everyone, so smaller at-risk customers churn untouched.
A discount that ignores why the customer is unhappy reads as desperation, not care.
Retention rarely succeeds on the first touch — but manual teams almost never make the second.
From churn signal to confirmed save, without waiting on desk capacity.
NPS, CSAT, and per-conversation sentiment feed churn alerts the moment an account's trend turns negative — weeks before the cancellation email.
Contacts long-term memory brings every past complaint and promise into the call, so it starts at "I know what happened", not "how can I help?"
A/B experiments run competing offers and scripts head-to-head, so what the agent presents is the variant that actually saves customers.
Voice → WhatsApp → voice touches confirm the fix landed, and extracted churn reasons flow into Ask Anything analytics for your product team.
Six capabilities that make retention proactive instead of reactive.
Satisfaction is scored on every conversation, and declining accounts trigger alerts automatically.
Every prior conversation is on hand at call time — complaints, promises, preferences — across voice, WhatsApp, and chat.
Each call is scored for sentiment, and the stated reason for leaving is captured as structured data.
Test offers, scripts, and voices against each other and keep the variant with the higher save rate.
Voice → WhatsApp → voice sequences make the second and third touches your team never gets to.
"Why did customers cancel in May?" — answered from your real conversations, in plain English.
60%
faster agent ramp-up
Churn alerts, personalised save calls, and follow-up sequences that close the loop.