Blog Archive

The rise and fall of open-ended questions

Recently I had an interesting discussion with Ron Stroeven, one the founders of Infotools, about open-enders, short for open-ended questions. In 1990 Infotools was established, but Ron has worked in market research far longer than that. He has a wealth of experience in survey design and data analysis, so it was fascinating to hear his view on open-enders, their history, and future.

Top 3 reasons why most NLP fails

Understanding customer comments, on a large scale, needs to be automated. So, it requires Natural Language Processing (NLP) or Text Analytics. Unfortunately, most open-source NLP tools were developed on text researchers have easy access to. These are typically news articles, research papers and movie reviews. I learned that the analysis of customer comments is quite different, and here is why.

Why word clouds harm insights

The picture above depicts Paul McCartney wearing a mullet. This article criticizes word clouds, the mullets of the Internet. 🙂 “Every time I see a word…

Net Promoter Score: an executive’s guide [+case studies]

The best way to acquire new customers is through recommendations. The Net Promoter Score or Net Promoter System measures these recommendations. In many industries, you can use this metric to compare your customers’ brand loyalty against those of your competitors’ customers. 

The Kano Model – guest post by Michael D. Lieberman

I was attending a conference at a resort hotel in Orlando, Florida, standing in the lobby trying in vain to connect to a client who needed to discuss the results of a range of multivariate output. To my chagrin, my cell would not pick up a signal. Imagine my surprise when the nearby concierge, viewing my angst, permitted me to use his phone to complete the call. He even dialed the number for me.

3 best practices for coding open-ended questions

Open-ended survey questions often provide the most useful insights, but if you are dealing with hundreds or thousands of answers, summarising them will give you the biggest headache. The answer lies in coding open-ended questions. This means assigning one or more categories (also called codes) to each response. But how to go about it?

3 ways Artificial Intelligence and Machine Learning improve CX

Artificial intelligence (AI) tools make it possible to easier anticipate customer needs in multiple ways. For example, marketers can analyze vast volumes of customer data, identifying the characteristics of high-value past customers which allows businesses to create highly personalized campaigns. Sales teams can quickly identify customer purchasing patterns and customer service reps can deliver relevant actions and sales offers.

7 nuggets of learnings from SaaStr 2018

To be right in the heart of the SaaS (software as a service) action, and learn from the best in the industry, we hopped over to San Francisco, USA, to attended SaaStr 2018 — the biggest SaaS conference in the world. It’s literally where the crème de la crème of software genius congregates.

Real-world examples of AI analytics in action 

With the help of artificial intelligence (AI) technologies, businesses today can easily predict what customers want and respond accordingly. A huge benefit of using AI is just this ability for more accurate prediction of customer needs.

The rise of AI: how businesses have leveraged AI text analytics to grow in 2018 and beyond

Often, AI is portrayed in the media as this ever-growing frenzy that will ultimately lead to robots stealing our jobs. And, how we should fear computers that are more intelligent than we are. Really? But as 2018 comes to a close, it’s clear some businesses aren’t paying attention to Hollywood’s ominous depiction of artificial intelligence. Instead, they are embracing AI whole-heartedly with the adoption of AI text analysis.

6 ways to customer retention – with the least effort, most impact

How to achieve a high customer retention rate? It’s pretty much common knowledge: To achieve the most impact, work on the 20% that matters, that which will make the biggest difference. You can apply the same principle to customer retention. The least effort, meaning once you’ve set the following foundation strategies, it’s up to your organisation to make it happen.

The top everyday AI analytics you need to know

Continuing our blog series on artificial intelligence AI (see earlier blog posts), we share some examples of everyday AI applications and commonly used AI analytics. If you look hard enough, you’ll find plenty of everyday examples of how businesses have used AI to make your (and their) life easier, thus improving the customer experience.

4 best practice examples of customer retention

The most valuable customer is the one you never lose. Here are some best practice examples we’ve selected as a great way to build customer retention. Can you use this as inspiration to create something similar for your brand?

Why focus on customer retention vs. customer acquisition?

Is your growth plan to acquire more new customers? What’s wrong with that? Nothing, if you have all the time and resources in the world, but there’s a smarter way to maintain growth whilst achieving a high customer retention rate. It’s simple, keeping your customers coming back for more will result in a greater ROI.