eringilliam: speech-analytics*

Bookmarks on this page are managed by an admin user.

1 bookmark(s) - Sort by: Date ↓ / Title / Voting / - Bookmarks from other users for this tag

  1. One of the biggest challenge businesses face in providing better customer service is truly understanding their customers. Figuring out why customers are reaching out and what drives their decisions, behavior, and opinions of your brand are crucial to long-term success. To create a positive customer experience, not just before and during the sale, but after the sale as well, you need to listen to your customer during every conversation.

    Speech Analytics lets you harness the power of voice of the customer insights by enabling you to automate the monitoring, categorization, tagging and scoring of all interactions with customers – whether they happen on the phone, email, chat or social. Doing so can give you a deeper understanding of why customers reach out, what frustrations they are experiencing and what they need from you.

    These articles outlines how speech analytics provides voice of the customer insights to improve customer service.
    https://callminer.com/blog/voice-of-the-customer-analytics-the-power-of-voc-insights-in-improving-service/
    Comments - Voting 0

Top of the page

First / Previous / Next / Last / Page 1 of 1 Voice of Customer News: Tags: speech-analytics

Make sure to check out our other labels too:

About - Made with in Rotterdam

Mopinion: The Leading Voice of customer Tool

Mopinion is a proud sponsor of voice of customer news. The voice of the online customer is taking on an increasingly important role when it comes to improving websites and apps. So web analysts and digital marketeers are making more and more use of Voice of customer Tools in order to collect Voice of customer. Mopinion takes it one step further and offers a solution to analyse and visualise Voice of customer results from your websites and apps wherever you need them. The real challenge for companies is not about capturing feedback, it is about how to make sense of the data.