Capturing customer sentiment: the account you almost lost (but didn't)

TL;DR

• Customers go from annoyed to gone in weeks, and the frustration is sitting right there in their messages the whole time. Nobody just has the bandwidth to stay on top of every customer.
• Computer, by DevRev, scores every customer interaction as it lands, rolls sentiment up to the account level, and explains why someone is frustrated.
• Sentiment scored in real time can be wired straight into workflows – notify a manager the moment a ticket tips into frustration, route at-risk accounts into a Slack channel, or flag a wobbling renewal before it is too late

Frustrated for weeks, and nobody knew

Every support team loses accounts that were frustrated long before they left. The customer stews for weeks, their discontent never lands on anyone's radar, and the first real signal is a renewal that quietly doesn't close. By the time you understand how they felt, you're reading it in a churn notice, weeks after they started feeling it.

The frustration was there the whole time, sitting in their messages. Nobody clocked it in time.

What matters with sentiment is timing. Whether you catch a customer's frustration while you can still do something about it, or weeks later, when doing something means damage control.

So let's talk about what it actually means to capture sentiment, and what you get to do with it once you have.

What "capturing sentiment" actually means

Capturing sentiment is just reading the room. The catch is that the room never stops talking, and you can't read all of it.

A manager skims a few tickets and extrapolates the sentiment of a hundred tickets they didn't open. A CSAT survey turns up weeks later, if the customer can be bothered. A single "overall sentiment" score blurs every customer into one average and calls it insight. All of it is a snapshot of the past, and the past is exactly where you don't need the help.

So the thing you actually need is easy to explain and hard to build: a read on how every customer feels, right now, rolled up to the account, with enough explanation that you can act before the customer ever picks up the phone.

Computer does the thing a human physically can't

Computer scores every customer message as it lands, across chats with the Customer Agent and tickets with a human agent, then rolls that signal up from the individual person to the whole account. It runs quietly in the background while you get on with your day, giving you a live read on the temperature of every relationship you have, updated as it happens rather than weeks later in a survey.

That's the capture. Here's the fun part.

Catch it the second it tips

• Before: A manager reads a sample of tickets and infers the sentiment of everything they didn't open.
• After: Every single interaction is scored, so the moment a customer goes from mildly annoyed to properly frustrated, you know.
• The result: You step in while it's still just a conversation, before it becomes a crisis. The close call you never have to raise in the postmortem, because there's no postmortem.

Know why, not just that

A score that only says "frustrated" is an alarm with no address. It sends you back into the ticket to work out what set them off, which is exactly the work you were trying to skip.

So Computer explains itself. The sentiment shows up live in the ticket panel, updating with each new message, with a quick summary of what's actually bugging the customer. You see the sentiment and the reason in the same glance, so you can go straight to fixing the cause instead of digging for it.

Read the account, not the meltdown

One angry ticket is a bad Tuesday. A whole account cooling off is a problem. Those are not the same thing, and you really don't want to treat them like they are.

The Sentiment Analysis dashboard rolls everything up past individual tickets to issues, product areas, and full accounts. One view, and you can see which accounts are heating up and where the heat's coming from. You're reading the whole relationship now instead of just the last person who happened to shout.

Teach it your version of "frustrated"

A sharp word from an enterprise buyer mid-contract is not the same signal as the same word from someone poking around on a free trial.

Sentiment Analysis comes ready to detect five levels out of the box: frustrated, unhappy, neutral, happy, and delighted. But you can rewrite those definitions in the snap-in's prompt so it reads frustration the way your business actually feels it. You can also pick when it runs, for certain customers or ticket types, so it pays attention to what matters and stays quiet on what doesn't.

Ask Computer about it in plain English

Because all of this lives in Computer’s shared memory, you can just ask. "Give me the themes from last month's tickets where sentiment stayed frustrated." "Cluster last month's tickets by sentiment category."

A thousand scored tickets is still a thousand tickets, until something turns it into the three patterns worth a meeting. This is that something.

The close call that becomes a non-event

The best saves are the ones nobody notices.

• smallcase, the Indian fintech, has it ping the head of support the moment a ticket crosses into frustration, so someone steps in while it's still a conversation.
• Sisense quietly routes negative sentiment into a Slack channel, so the team catches a problem early instead of at the renewal.
• Phenom wires sentiment straight into account health, so CS knows which renewals are wobbling before anyone books the renewal call.

Nobody had to scramble. The bad outcome just quietly didn't happen.

Already running sentiment analysis? Here's what the upgrade means

We're upgrading real-time sentiment analysis with the July release. What you do next depends on what you run today.

Old sentiment evaluator snap-in only: it's being deprecated. Install the real-time sentiment analysis snap-in. On install, the workflows activate automatically and a Sentiment Analysis dashboard is added to your nav.

Real-time sentiment already running: the snap-in upgrades to the latest version automatically. Nothing for you to do.

Both the overall and the real-time snap-ins: the overall one is deprecated and the real-time one auto-upgrades.

The point

The frustration was always sitting there, in your customers' messages. Now you see it as it happens, you know why, and you get to act on it while it still counts. The account you almost lost? You'll never know you almost lost it. Which is sort of the point.

Book a demo and we'll show you, live, sentiment catching an at-risk account before it ever escalates.