Extract valuable insights from support tickets with SentiSum

SentiSum's automated tagging engine categorises your support conversations with unparalleled accuracy and granularity.

Customer support ticket analytics and insights using AI automation

"I can now easily show the rest of the company what's driving customer contact and together we can drive positive change. It's exciting."

Director of Customer Service, +$50m revenue fast-growth company

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Support ticket prioritisation

How it works

SentiSum's core technology is a machine-learning based NLP engine.

It's designed to uncover ticket tag insights that are:

1/ Accurate: It tags based on meaning, not keywords.

2/ Granular: It applies topics at a root cause level.

3/ Up-to-date: It surfaces new and trending issues.

You can trust them to underpin strategic change across your business.

P.s. We cover almost every language and contact channel (even voice).

About our tech

Tackle customer friction a its root cause

A daily email full of customer insights

Get 'reasons for contact' trends in your inbox

Our daily digest email ensures you stay up-to-date with performance, top ticket drivers and the largest rises and falls in topics.

Subscribe anyone to bring company-wide access to support data. You'll see a refocus on customer experience that helps you to reduce ticket volumes.

Make support tickets searchable

Like Google for your support data, you'll be able to answer queries from other departments by simply searching any keyword or topic.

With the addition of our voice analytics technology, you'll even be able to search for terms within phone calls.

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Customer insights single source of truth

A simple-to-use single source of truth

With SentiSum's simple-to-use UI, you won't need technical know-how to understand the topic and sentiment of every support ticket.

You, or anyone across your business, can simply switch between contact channels, filter by topic or subtopic, and have instant access to the issues facing your customers across every contact channel.

Why replace your existing tagging system?

Most tagging systems take a lot of manual work or the insights can't be trusted to back up business decisions. Usually tags are inaccurate, inconsistent or generic, so customer support is like a black box.

Before SentiSum

  • Tags are broad and require manual digging
  • Tags become outdated so insight is missed
  • Tags are based on 'keywords' = inaccurate
  • Tags are applied inconsistently by agents
  • Reporting is still time-consuming

After SentiSum

  • Tags are granular and get to the heart of the issue
  • Tag taxonomies are continuously up-to-date
  • Tagging is machine-learning based = accurate
  • Tags are applied consistently to 100% of your tickets
  • Reporting is made simple with automation
  • Tags can be trusted to guide triggers, automations and company-wide improvements

All your channels under one roof

SentiSum is a single source of truth. In one simple-to-use dashboard, you'll understand the topic and sentiment of every customer conversation, survey and review.

Explore integrations

What IS SENTISUM'S IMPACT?

Making the case

SOFTWARE

What to look for in an AI for CX analytics tool

Read here
IMPACT

How AI tagging has cross-functional impact

Read here
TECHNOLOGY

Why ML-based tagging is better than keyword

Read here
“In less than 5 minutes, we are now able to understand the drivers of over 100k tickets”

Catherine Onions

Head of Customer Service

See it in action