Business · Mar 14, 2019
Why traditional market research alone is not enough
Even though technology has made huge improvements, companies still rely on outdated Market Research methods to gather feedback.
E-commerce · Mar 11, 2019
Why using a Chatbot can be extremely risky
While a chatbot is very useful in some cases, it might be really risky in others. Instead of delivering a good experience, it might frustrate customers.
Business · Mar 07, 2019
3 things each product marketer should know
Learn which are the three essential things that each product marketer should know to have enough evidence and make the right decisions.
Market Research · Mar 06, 2019
What are Predictive Analytics & How Can They Provide a Competitive Advantage?
Learn what predictive analytics are, how they're used, how they differ from other analytics, and discover the tools you can use to get started.
Interview · Mar 04, 2019
Text analysis: how to train a computer to do it
How deep a machine can go in extracting meaning from text sentences and perform text analysis, and how avoid biases, providing really accurate results.
Business · Mar 04, 2019
How to improve CX with Customer Feedback Management
In this article, we’ll cover exactly what customer feedback management is, how it can be applied to your business, and the tools you can use to get started.
Market Research · Mar 01, 2019
Why you should analyse the NPS data
Every once in a while, companies receive tons of NPS data, but the difficulty to analyse it all makes them to not make the best use of it.
Business · Feb 22, 2019
Manage Customer Feedback Correctly
Many companies claim being customer-centric. However, just a few are really able achieve it. The solution? Manage your customer feedback correctly.
Market Research · Feb 20, 2019
What is customer feedback and why it is important?
Read about the difference between the most common types of Customer Feedback, and the 5 reasons why ithey are important for your company.
Market Research · Feb 19, 2019
Why is so difficult to predict the future?
There are two kinds of predictions: intuitive predictions, which rely on experience and intuition, and statistical predictions, which rely on data.