Customer Analytics
The 360 Degree Customer View
Draw a more accurate and vibrant picture of your customer by blending behavioral analytics with traditional and unstructured data sources. 360 degree modeling yields a much richer rendering of your customer.
Micro Segmentation + Behavioral Analytics
Machine learning techniques can identify patterns and behaviors as they emerge, moving you beyond a static snapshot of a few customer segments. Dynamic micro segmentation discovers personas and archetypes that you weren’t even aware of.
Customer Engagement Strategies
Catching the attention of your prospects is part art, part technology. You need to reach them on their turf, with something they want, and a way to get it. Analytics can help break through the noise to connect and inspire action.
Customer Acquisition Analytics
Learn what consumers buy, why they buy it, and when. Then delve into the journey of building a strong healthy customer base.
Customer Lifetime Value (CLV) Modeling
Predictive and behavioral analytics allow businesses to quantify and forecast the value of individual customers across time, product lines, segments and even channels. CLV models help global brands design programs that accelerate monetization.
Customer Retention and Win Back
Losing a customer is costly, so early churn prediction and prevention are worth the investment. Pinpoint churn risk factors with predictive models to prevent churn. And when a customer does leave, use data to help bring that revenue back where it belongs.
Customer Satisfaction Analysis
Data can play an active part in boosting customer satisfaction. Go beyond simply measuring current customer satisfaction (CSAT). Analytics discovers new drivers of positive customer satisfaction to help nurture healthy customer relationships.
