Advize Overview

Advize

By LaunchBoard Software

5★★★★★(2 Ratings)Write review

What is Advize?

Advize, from LaunchBoard Software, is a Voice of the Customer (VoC) and customer experience (CX) analytics platform. It integrates feedback and interaction data from various touchpoints across the entire customer journey (e.g., surveys, support tickets, NPS scores). The software then analyzes this aggregated data to deliver actionable insights and, importantly, can automate personalized 'next best actions' for teams. These automated actions are designed to directly drive business outcomes such as increasing revenue, reducing customer churn, and improving overall satisfaction scores.

Who it's for:

Advize is for customer success, product, and marketing teams in B2B or B2C companies that want to move beyond collecting feedback to actively using it to automate personalized customer engagement and improve business metrics.

Our verdict:

Our verdict is that Advize represents an advanced, action-oriented approach to VoC. Its focus on automating insights and next-best actions can help businesses close the loop between listening to customers and proactively improving their experience, potentially delivering a strong ROI.

Advize Details

Advize Platforms supported

Cloud, SaaS, Web-Based

Desktop Chromebook

Desktop Linux

Desktop Mac

Desktop Windows

Mobile Android

Mobile iPad

Mobile iPhone

On-Premise Linux

On-Premise Windows

Advize Support options

Chat

Email Help Desk

Phone Support

Advize Training options

Documentation

In-Person

Live Online

Videos

Webinars

Advize Typical customers

Freelancers

Small Businesses

Small to Mid size businesses

Mid size businesses

Mid to Large size enterprises

Large enterprises

Very Large enterprises

Advize Features

Most valued Advize features by users

Annotations

Collaboration Tools

Data Import/Export

Data Visualization

Media Analytics

Mixed Methods Research

Multi-Language

Qualitative Comparative Analysis

Quantitative Analysis

Reporting & Statistics

Sentiment Analysis

Statistical Analysis

Text Analysis

User Research Analysis

Boolean Search

Graphical Data Presentation

Language Detection

Predictive Modeling

Search/Filter

Summarization

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