Prepare to win critical moments that matter by responding to customer signals at any time, across any channel. Fusing machine-learning, real-time decisioning, and an ability to deliver messages, offers, or loyalty tactics across any channel, marketers are able to create smarter interactions that drive incremental behaviors and profit.
Leverage real-time APIs to stream transactional and behavioral data from disparate systems including retail point-of-sale, e-commerce, customer care, website and mobile app platforms into a single profile in the cloud.
Ingest data from various sources as it is created. Update profiles in real time and make them operational in other systems for engagement and analytics.
Score customers dynamically based on key metrics like recency, frequency, spend, lifetime value, churn propensity, or product specific tagging in order to create tiered campaigns and offers according to customer index.
Rank each customer's likelihood to buy at the individual SKU or product category level with out-of-the-box data models or by importing existing client-specific ones.
Dynamically segment customers according to real-time data feeds of information such as location, purchase history, lifetime value or other key markers.
Tailor your dashboard to surface the data that is key to your KPIs. Break down audience metrics to funnels, cohorts or a single customer view to understand retention rates, lifetime value and other vital metrics and trends.
On Premise Communication to Customers with Relevant Messaging
A high profile hotel was collecting customer information from multiple touch points: the spa, restaurants, POS systems, check-in, etc. but the amount of time it took to organize data and feed it into unified customer profiles was approximately 72 hours. The hotel had several legacy technologies that were not talking to each other, making one view of each customer impossible. With an average customer spending 48 hours on-premise, the hotel was missing a significant opportunity to capitalize on customer spend by sending messages long after customers left.
With SessionM, the hotel can now sync data from various sources: check-in, the restaurant on-premise, the night club, and the casino. The data is synced from several legacy platforms into one view in real time, allowing them to trigger promotions to customers while they are still on-premise. The hotel reduced the time to process customer information from 72 hours to real time.
Employees from around the hotel interact with the platform: desk managers, the concierge, private butlers, and casino hosts – the combination of all this interaction provides a tremendous amount of detail around customers into one operational profile, giving this hotel the ability to trigger highly targeted engagement.