Best Practices for VoC Analysis

Confirmit

Analytics are the systematic computational analysis of data. These techniques include topics like key Driver Analysis. Key driver analysis is one of the most powerful analysis techniques available to business today. Calculated using either correlation or regression analysis, key drivers help you identify the factors that influence or ‘drive’ business outcomes.

VOC 40

2020 Customer Experience: 20 Wishes

ClearAction

Key driver analysis (advocacy index correlation analysis) opens the door to actionability. Key drivers identify areas where non-customer-facing teams can make a difference. Apply Pareto analysis to customer comments and operations data for each key driver.

CXM 101
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21 Tips for 2021 Customer Experience Excellence

ClearAction

Leading indicators are identified by conducting (1) key driver analysis (also known as correlation analysis) with your index (e.g. 21 Tips for 2021 Customer Experience Excellence Lynn Hunsaker.

Growth Through Customer Experience Momentum

ClearAction

You can see evidence of this in Forrester’s analysis 1 , where they found that stock price for customer experience (CX) leaders grew 34%, in comparison to 5% for CX laggards and 20% for the S&P 500 during the same time period. Growth Through Customer Experience Momentum Lynn Hunsaker.

2020s Customer Value: 20 Wishes

ClearAction

Key driver analysis (advocacy index correlation analysis) opens the door to actionability. Key drivers identify areas where non-customer-facing teams can make a difference. Apply Pareto analysis to customer comments and operations data for each key driver.

CXM 81

Introducing Brand Impact Simulator

Qualtrics

They don’t know how to identify the right mix of brand attitudes and strategies to improve key outcomes such as customer acquisition, website traffic, or subscriptions. What if you could identify the key drivers of purchase consideration across your organization?

Conducting market research — when and why you should outsource

Qualtrics

Analysis and reporting - look out for an agency or vendor that offers a wide range of analysis options. Some of the most common types of analysis to look out for include: Conjoint / MaxDiff. Regression analysis. Segmentation analysis. TURF analysis.

Are you making this critical connection with your customers to strengthen relationships and drive loyalty?

Waypoint Group

The key to scalably accelerating profitable growth is by creating truly loyal customers. Here’s why that’s true and how to make this critical, emotional connection with your key customer contacts to strengthen relationships and drive true loyalty. On her final broadcast, Oprah Winfrey shared this key learning from 25 years as host of her show: “I’ve talked to nearly 30,000 people on this show, and all 30,000 had one thing in common: They all wanted validation.

Market research software buyer’s guide 2021

Qualtrics

In the 1960s and 1970s, huge amounts of processing power — think rooms full of computers — was required and so this kind of analysis was reserved for a select few academic and research institutions. 10 key features of market research software to look out for.

Stop Chasing Renewals: Here’s How to Keep Customers Engaged So Renewals (and More!) Will Just Come

Waypoint Group

Screenshot of TopBox Account XRay, showing breadth, depth, and sentiment of key contacts in an account. Let’s start with the 2 key drivers of churn that we want to manage: CHALLENGE: Loss of an executive sponsor or champion opens opportunities for competitors in the account, or for the program that you support to be canceled entirely. If you don’t do it in advance, trying to build those key relationships “in crisis mode” is unlikely to work.

Choose the best free survey tool for your business – 2020 buyer’s guide

Qualtrics

To help you pick the right one for your business, here are the key features and functionality to look out for when deciding which survey platform is right for your business. For more advanced researchers, the ability to export data to other formats like SPSS is a useful addition that allows you to take the data you’ve collected and use it in the programs and software you’re using for data analysis elsewhere. Quantitative data analysis. Key driver analysis.