Thousands of calls, a handful reviewed
Contact centres take calls all day, but only a small sample is ever listened to. The calls that predict churn go unheard.
Cloud4Feed listens at every installation, fault, outage and contact-centre call, finds the root cause across channels and routes it to the team that can fix it — before subscribers start looking elsewhere.
It starts with a late installation, a confusing first bill or an outage nobody explained — and by the time the customer asks to cancel, the reason is weeks old.
Contact centres take calls all day, but only a small sample is ever listened to. The calls that predict churn go unheard.
Installation and fault visits set the tone for the whole contract. When they go wrong, subscribers start comparing offers.
During an outage, complaints flood social media before the contact centre even knows the scale.
Each step of the subscriber journey has its own channel and its own churn signal. Cloud4Feed listens at all of them — and reads them as one story.
Voice AI interviews run voice-only or after your digital channels — you choose per survey.
From the first response, every call, survey, interview and post is coded into telecom topics, sentiment, intent and emotion — in 50+ languages. New topics are spotted automatically; your team approves them.
How the AI engine reads every channelThe same Listen → Analyse → Insight → Act loop as the rest of the platform — set up for installations, faults, outages and contact-centre calls.
An AI voice agent follows up every closed installation — voice-only, or after SMS, email or WhatsApp. Every contact-centre call is scored, and every social post and review lands in one inbox.
Calls, interviews, surveys and social posts are coded into the same topics — so a complaint heard on the phone and a post in Eastgate count as the same problem.
Ask AI what to fix first and see the NPS impact. Get an alert when outage mentions spike in one area, and a forecast of which subscribers are likely to leave.
Installation delays become cases for Ops automatically, with an SLA. Subscribers flagged as at risk — and those who went quiet after their contract ended — get a personalised AI voice call or WhatsApp conversation, most valuable first.
Sarah's follow-up call surfaced a Wi-Fi problem that Home Support solved within the SLA. Read together with every other install this month, the same AI engine showed the bigger fix: installation scheduling.
“…the Wi-Fi doesn't reach my upstairs office, and nobody showed me how to fix it in the app.”
How every install and fault visit lands.
Who's at risk, and why — before they cancel.
Every call scored, not a sample.
Spikes caught by area, as they happen.
Subscribers reached before they go quiet for good.
100+ companies across 15+ industries run their voice of customer programme on Cloud4Feed.
Read customer stories