Customer Analytics Data Platforms
Customer Analytics Data Platforms
The 360 Degree Customer View
Draws a more precise and vital image of your customer by way of combining behavioral analytics with conventional and unstructured information sources. 360-degree modeling yields a very insightful representation of your consumer.
The 360 Degree Customer View
Draws a more precise and vital image of your customer by way of combining behavioral analytics with conventional and unstructured information sources. 360-degree modeling yields a very insightful representation of your consumer.
Micro-Segmentation Powered By Behavioural Analytics
Machine Learning algorithms and statistical models can recognize customer behavior patterns as they occur, graduating from a static snapshot of limited customer segments. Dynamic micro-segmentation enables the discovery of newer customer identities, profiles, and categories which were hitherto unknown.
Micro-Segmentation Powered By Behavioural Analytics
Machine Learning algorithms and statistical models can recognize customer behavior patterns as they occur, graduating from a static snapshot of limited customer segments. Dynamic micro-segmentation enables the discovery of newer customer identities, profiles, and categories which were hitherto unknown.
Customer Purchase Analytics
Understanding the “what”, “why”, “when” and “where” of customer purchases help sell better. It also fosters the creation of a strong and repeats consumer base.
Consumer Lifetime Value (CLV) Modeling
Behavioral and predictive analytics enables businesses to measure and estimate the value of a customer across products, brands, segments, channels and time. CLV models empower global brands in designing revenue-accelerating customer target programs and segments.
Consumer Lifetime Value (CLV) Modeling
Behavioral and predictive analytics enables businesses to measure and estimate the value of a customer across products, brands, segments, channels and time. CLV models empower global brands in designing revenue-accelerating customer target programs and segments.
Customer Retention & Reacquisition.
Customer acquisition, as well as customer loss, are both very expensive, so investing in forecasting and arresting customer loss is a great investment. Customer retention can be achieved by accurately identifying risk elements using smart predictive models and then applying remedial/retentive actions. In case customer loss does occur then predictive models can also be utilized to understand what will bring the customer back and when.
Customer Testimonial
“We have been working with VigourSoft for nearly 4 years and, in that time, have worked with them to develop and maintain a custom application for both the Windows and Mac environments that is uniquely tied to our hardware products. The development and maintenance of this application has been challenging – particularly for the Apple Mac environment. In each step of the way, VigourSoft has been able to tackle the tough obstacles and overcome them. We are fully satisfied with VigourSoft as a software application developer and plan to keep our relationship going for the foreseeable future. “
Integrating the future Defining Business Impact
See how we impact change through our integration services.
