Zendesk CSAT automation for champion support teams

SentiSum's AI-powered analytics applies granular topic and sentiment tags in real-time. Insights from every email, chat, call and survey become easy to access, so you can report on tags in minutes and drive company wide improvements.

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

The intelligent engine

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're multilingual and multichannel (even voice).

Get more from CSAT with automated Zendesk analytics

Zendesk CSAT Automation | Sentiment Analysis

Understand drivers of customer satisfaction at a granular level

Add rare context to CSAT scores by tying scores together with the support tickets that drove them. You'll truly understand what's making your customers satisfied.

Get %satisfaction per tag on every contact channel

Make customer feedback insights easy to access for everybody. Know exactly what's driving customer satisfaction, and which topics are causing the most negativity.

Get %satisfaction per tag on every contact channel
Get CSAT driver trends in your inbox

Get CSAT driver 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 within your CSAT surveys.

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.

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  • Tags become outdated so insight is missed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.

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
“We can now proactively identify negative feedback, respond to it, and fix issues.”

Jack Ames

Contact Centre Manager

See it in action