Gain insights into the metrics most meaningful to your brand - how often customers visit and how much they are spending - to create the foundation for intelligent marketing campaigns
Track and capture data from all channels in your customer journey and combine each source to provide robust customer-level analytics, eliminating blind spots or separate instances in reporting
Our robust product recommendation engine uses historical purchase behavior to predict the probability of “liking” a specific product or group of products
increase in LTV across over 1M customers for a retail client
reduction in churn for retail client
increase in customer lifetime value
RFM is an acronym for Recency, Frequency, and Monetary Spend. The SessionM Platform calculates RFM for three distinct time periods: 7 day, 30 day, and lifetime. Using RFM, it is easy to compare the historical performance of one customer to the full customer base.
Customer lifetime value is a forward looking metric that calculates the projected revenue each customer will generate over the course of their lifetime with a brand. The metric can also be seen as the present value of future cash flows attributed to the customer relationship.
The platform’s churn model looks at the historical transactions at an individual customer level to understand the “normal” behaviors and cadence for each customer. As long as that “normal” pattern is maintained, churn probability will remain low. Once the model senses a negative deviation in that “normal” pattern, the churn probability will increase.
SessionM's robust recommendation engine provides scoring at scale for large data sets. The platform’s engine uses machine learning to deconstruct historical purchase data into latent factors that can inform estimates of previously unknown customer/product affinities.
Gartner Magic Quadrant for Mobile Marketing Platforms, July 2018
SessionM garners praise from references for the quality of its team, hands-on involvement with deployment and integration, responsive support, and robust reporting capabilities. Several references note that SessionM is instrumental in helping drive incremental revenue and improving customer experience.