Quantitative rating system for prioritizing customers by propensity and buy size

A system comprising:

• a memory component;
• and
• a processing device coupled to the memory component, the processing device to perform operations comprising:
• receiving interaction data describing interaction of respective client devices with digital services implemented by a service provider system via a network and resource allocation of resources implemented by processing devices of the service provider system in providing the digital services;
• and
• determining a subsequent resource allocation of the resources implemented by the processing devices of the service provider system in providing the digital services based on the interaction data, the determining including:
• determining multiple timeframe buy sizes for an entity using a ratio model of annualized recurring revenues (ARR) of the entity for consecutive time frames, the ratio model applied with an elastic-net regression to determine the multiple timeframe buy sizes;
• determining multiple upsell opportunities for the entity by taking ARRs for a current timeframe for the entity from the determined multiple timeframe buy sizes;
• combining the multiple upsell opportunities for the entity into an overall upsell opportunity for the entity;
• generating a quantitative rating for the entity based on the overall upsell opportunity for the entity;
• allocating the resources implemented by the processing devices of the service provider system in providing the digital services based on the overall upsell opportunity, the allocating implementing the subsequent resource allocation;
• generating digital content to be communicated over a network to the entity based on the quantitative rating using the allocated resources implemented by the processing devices, the digital content specifying at least one said digital service able to be accessed via the network from the service provider system;
• and
• providing access to the at least one said digital service via the network using the allocated resources implemented by the processing devices responsive to interaction with the digital content.

A non-transitory computer-readable medium storing executable instructions, which when executed by a processing device, the processing device performs operations comprising:

• receiving interaction data describing interaction of respective client devices with digital services implemented by a service provider system via a network and resource allocation of resources implemented by processing devices of the service provider system in providing the digital services;
• and
• determining a subsequent resource allocation of the resources implemented by the processing devices of the service provider system in providing the digital services based on the interaction data, the determining including:
• determining a timeframe buy size for an entity using a ratio model of annualized recurring revenue (ARR) of the entity for consecutive time frames, the ratio model applied with an elastic-net regression to determine the timeframe buy size;
• determining an upsell opportunity for the entity by subtracting an ARR for a current timeframe for the entity from the determined timeframe buy size;
• generating a quantitative rating for the entity based on the upsell opportunity for the entity;
• allocating the resources implemented by the processing devices of the service provider system in providing the digital services based on the timeframe buy size, the allocating implementing the subsequent resource allocation;
• generating digital content to be communicated over a network to the entity based on the quantitative rating using the allocated resources implemented by the processing devices, the digital content specifying at least one said digital service able to be accessed via the network from the service provider system;
• and
• providing access to the at least one said digital service via the network using the allocated resources implemented by the processing devices responsive to interaction with the digital content.