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.

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Customer support ticket analytics and insights using AI automation

Trusted by the customer service leaders of the world's most loved companies

What it looks like to use machine learning tagging in your customer support system

How it works

SentiSum is built using machine-learning based NLP. It's designed to understand and tag customer contacts in a way that's:

1/ Accurate: It tags based on meaning, not keywords.
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2/ Granular: Tags get to the root cause of the topic.
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3/ Real-time: Everything happens in milliseconds.

You can trust SentiSum tags to underpin strategic change across your business.

P.s. We cover 100s of languages and channels (even voice.)

About our tech

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 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Tags become outdated so insight is missed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

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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.

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