Customer Insights

Customer Insight Analysis is an Elucen service that not only uses your data but also combines this with publicly available datasets to create customer segmentation and insight models.

As businesses we understand our customers locations, their billing and profitability, however this does not necessarily mean we know our customers.

Today’s businesses hold an incredible amount of customer data that is often overlooked and untapped.

Why do some customers purchase or use services more than others? Why do they prefer certain channels, cling to paper as opposed to interacting online?

More importantly why have customers stopped engaging with us and what actions are needed to change that?

Customer Insight Analysis is an Elucen service that not only uses your data but also combines this with publicly available datasets to create customer segmentation and insight models such as churn and retention models, that can influence future strategy.

Led by our Chief Data Scientist Dr. Ankit Patel

Our goal is to make data science with Machine Learning and Artificial Intelligence accessible for all businesses. We use our advanced analytics and some of New Zealand’s leading Data Scientists to enable businesses to understand their customers in ways never possible before.

Depending on your problem, our team will right size a solution providing key insights and with actionable recommendations. Our analysis and modelling capabilities can include:

Segmentation modelling

Segmentation modelling can be used to identify where your customers live, what’s important to them and how best to reach them.

Churn and retention analysis

Churn and retention analysis helps you to understand the key metrics and factors that create “sticky” consumers, and the reason they may consider leaving you.

Entity recognition

Many organisations hold a large amount of customer data but struggle to use this to drive effective marketing campaigns. We can accurately match this with “address” or “geo-coded” data using entity recognition technology.  Organisations can then geo-code their customer database and reduce duplicate or incorrect address level data.

Natural Language Processing and text analysis

Natural Language Processing and text analysis ranges from simple sentiment analysis such as word clouds to more sophisticated modelling such as Topic modelling to identify key themes, patterns and topics. This can help us understand common concerns, suggestions, or areas of focus.

Whatever your problem, unlock your data's full potential with our expert Data Science and Machine Learning services. Contact us to learn more about extracting real business value from your data.