The most common bottlenecks for other ESPs are MTA capacity and rigid, multi-tenant data structures. The MessageGears system architecture breaks through these bottlenecks by offering a schema-less customer data integration and an elastic personalization and delivery service layer.
Connecting directly to client data sources enables marketers to personalize content based upon their internal structure. MessageGears processing a schema-less structure allows for large, heavy sends to be broken into smaller batches of data and elastically distributed across our infrastructure.
Our Accelerator application initiates the message sending process by selecting data used in the templating process from the user’s data source, and placing it into a cloud-based file of variable size according to the size of the recipient list. Although these files typically contain template-level data (email address, name, etc.), these “batches” of data are cryptographically secured via Amazon KMS encryption, and are readable only by the MessageGears cloud processing environment.
Once all of the necessary recipient data has been extracted and processed into a consumable format, an API call to MessageGears’ cloud environment begins the next step of the delivery process.