Propensity model to identify past guests/prospects who are more likely to follow through on a call-to-action after receiving an email campaign. To preview our machine learning models, please Continue to Subscribe. To preview our sample Output Data, you will be prompted to add suggested Input Data....
Model Package - Fulfilled on Amazon SageMaker
Businesses succeed when existing customers enhance their accounts through rate plan and device upgrades, feature addons, and line additions to grow account size. The Add a Voice Line model is part of ElectrifAi's propensity model suite which enhances a business's predictive accuracy in targeting...
Model Package - Fulfilled on Amazon SageMaker
Businesses succeed when existing customers enhance their accounts through rate plan and device upgrades, feature addons, and line additions to grow account size. The Upgrade Device model is part of ElectrifAi's propensity model suite which enhances a business's predictive accuracy in targeting...
Model Package - Fulfilled on Amazon SageMaker
Target customers via 360-degree customer characteristics (such as company relationship, wallet size and product demand) to predict score of cross-sell propensity. Applying to all industries, this trained propensity model selects a sub-set of customers likely to buy another business line. For...
Model Package - Fulfilled on Amazon SageMaker
Very specific marketing is needed to attract potential clients to book a cruise. This propensity model identifies past guests/prospects who are more likely to book a cruise after receiving an email campaign. This model leverages advanced, high-precision targeting for customer acquisition and can be...
Model Package - Fulfilled on Amazon SageMaker
When a prospect unsubscribes from future email campaigns, all potential revenue from that prospect is lost. This algorithm analyzes prospect behavior and campaign frequency to identify prospects likely to opt-out. Prospects are assigned a probability of opting out of the next mailing, allowing you...
Model Package - Fulfilled on Amazon SageMaker
Target customers with applicable promotions and treatment optimizations with this need-state segmentation model. Need State Segmentation model analyzes thousands of customer attributes and behaviors, from demographics to spend and trip patterns. Grouped and applied to the entire customer base,...
Model Package - Fulfilled on Amazon SageMaker
Identify customers most likely to complain after a disruption/service failure and proactively reach out to them to improve customer satisfaction, reducing the number of complaints made to the call center. Identify those customers/agents who take advantage of the flexibility allowed by airlines to...
Model Package - Fulfilled on Amazon SageMaker
Businesses succeed when existing customers enhance their accounts through rate plan and device upgrades, feature addons, and line additions to grow account size. The Change a Rate Plan model is part of ElectrifAi's propensity model suite which enhances a business's predictive accuracy in targeting...
Model Package - Fulfilled on Amazon SageMaker
Know in advance those customers likely to churn with this suite of predictive analytics models. Identify customers more likely to churn, either directly or predicting the churn event or indirectly by analyzing the network experience. The algorithm also targets strategies to mitigate customer churn...
Model Package - Fulfilled on Amazon SageMaker
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