Voice assistance, such as through a dedicated helpline, is the place where customers often decide to cut ties with the company, but it’s one of the least modernized support channels for most. So, if you’re looking for the best place to fix customer retention dealing with the shortcomings of your phone, what is one of the best moves you can make?
Here are seven powerful ways to improve customer retention using the latest smart voice.
1: Answer on the first Ring
Abandoned calls are what cause customers to go somewhere else. A customer who waits for someone else to respond is likely to hang up, and they’re also unlikely to call back.
Voice AI removes the queue entirely. The service picks up instantly, whether it’s 2 AM on Sunday or 10 AM on a Tuesday.
That makes support more predictable, as customers know the majority of the time they can pick up the phone and speak to an AI system whenever they need help without having to worry about opening times or waiting in a virtual line.
2: Hand off to a Human Without Losing the Thread
With human support, the agent can transfer particularly difficult cases to colleagues. Typically, when this happens, there’s a break while the initial agent explains to their colleague what the situation is.
AI agents can also do this, perhaps more efficiently than humans. The AI can do things that humans can’t. For example, it can keep updating the CRM, attaching the transcripts of the call, and scheduling the follow-up, even after the human has taken over.
The Telnyx guide to AI-to-human handoff breaks down three common ways of handing off a call:
- Cold transfer: the AI ends its part of the call and routes the caller to a new line, so the human picks up with no context and has to ask the caller to explain the issue from scratch.
- Private warm transfer: the AI calls the human first, briefs them on what’s going on, then merges the caller in, so the human already knows the situation before they say anything.
- Conferenced warm transfer: the AI stays on the call as a third participant instead of dropping off, so it can keep working in the background (updating records, taking notes) while one of your real agents takes over the conversation.
The key here is that the customer should never have to repeat themselves. The AI assistant should always make the process smoother rather than creating additional friction.
3: Remember the Customer in Between Calls
Pulling CRM context into the call so that it already opens with the key details of the account makes customers feel recognized and cuts time on wasted repetition of information.
It’s always pleasant to deal with a business that already knows who you are. That recollection can really change the emotional context of the conversation, as well as keeping calls as brief as possible, benefiting both customers.
4:Catch Churn Signals
Every phone call contains key information. Voice analytics can pick up on things like a customer calling about the same issue more than once, frustration creeping into their tone, or even a mention of a competitor.
These are usually early warning signs that a customer might go elsewhere.
Once an account gets flagged, it needs to go somewhere useful. Having a retention specialist call a frustrated customer just a couple of days after a rough support experience is easier than trying to win them back months later.
This becomes harder to manage as call volume grows, which is why it’s worth looking into how growing teams scale customer support without everything turning into chaos,
5: Close the Loop After the Call Ends
A lot of calls end on a good note, and the business still loses the customer, simply because whatever was promised afterward wasn’t fulfilled. Maybe someone said they’d send an email, a technician was meant to call back, or a refund was waiting on manager sign-off.
This is something voice AI can take care of on its own. It can log what was resolved, send out a confirmation, book a callback on someone’s calendar, or even send an invoice, without anyone having to remember to do it.
Service businesses run into this a lot, since the workflow from first call to paid invoice often passes through several handoffs. Automating that part means fewer broken promises, and broken promises tend to be exactly what customers remember.
Modernizing Voice Support Systems
When modernizing your voice support systems, the stakes are high. A customer support call is one of the key battlegrounds for returning customers. Get it right, and you’ll build brand loyalty, but get it wrong and your churn rate will increase.
Each of the solutions on this list removes friction at a different point in the call. If you choose to implement AI voice assistants, remember that you need to commit. An AI that’s fast but forgetful isn’t much good. So you need to make sure your AI system won’t leave customers frustrated.
Well, of course, AI voice agents could be a frustrating experience. When properly implemented, they make customer support more predictable, more efficient, and less frustrating.
If you’re interested in learning more about similar topics, see the rest of our blog posts for more.