SentiSum automates support ticket tagging, ticket routing and prioritization. Get granular customer insights easily and implement new automated workflows to boost productivity.
"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.)
Automatically tag every ticket with topic, sentiment and priority. Use our tagging Zendesk automation to uncover granular insights, reduce ticket volume and remove repetitive tasks for agents.
There's no longer any need to rely on customer's self-tagging or an agent manually tagging tickets. Blast through queues by getting requests in the right inbox automatically, in real-time.
Tickets can often get lost in a large queue, with SentiSum's prioritisation automation you'll never miss important tickets. In fact, you'll significantly reduce first response time to those tickets.
Prioritisation is an important Zendesk automation to have in your belt. Not every customer request is equal, and with sentiment analytics-powered prioritisation, you'll know which tickets are most important automatically.
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.
It can be difficult to know which customer service requests to prioritize when you're bogged down in the day-to-day of contact centre life. However, by following a few first principles, it can be easier than you think.
Some people suggest 'first come, first serve', but that's too simplistic (and isn't really a prioritisation strategy' at all). We suggest categorising tickets in three ways: urgency, sentiment, and importance to the business (use AI tagging software to categorise tickets).
Urgent requests are 'customer driven' in that they are requests that are time-sensitive to the customer. If a customer is about to catch a train and doesn't know where it is, you should prioritise that customer request above a refund request, for example.
Sentiment prioritisation, places particularly angry or upset customers top of the list. Those customers are at a high risk of leaving you, spreading bad reviews and associating your brand with negativity, and should be prioritised accordingly.
Finally, we have 'importance to your business'. By pulling disparate data together, it's easy to see that some complaints, tickets and request topics are more closely associated with churn—i.e. a customer leaving your business never to return. Tackle those first to directly to automatically impact your bottom line.