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.
"It's easy to setup and the insights are accurate. Every team has started using customer conversation insights!"
Director of Customer Service, +$50m revenue fast-growth company
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.
2/ Granular: Tags get to the root cause of the topic.
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.)
SentiSum understands multiple topics in each conversation and applies one consistent taxonomy to your entire Intercom conversation history. You'll have the volume and sentiment of every channel in one place, so you can simply switch between them and undertake root cause analysis in minutes—our customers always find things they didn't yet know about.
When you have accurate tags across your Intercom conversation channels, you can leverage those to automate who gets tickets on each topic, which tickets are prioritized, and if to create a ticket when a customer leaves a negative review. Neat.
We had a unique twist to the tag reporting process. Every day, anyone who subscribes gets up-to-date insights about what topics are trending in the customer support department.
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.
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.