Recommend and Personalize the
Publishers, advertisers, and retailers drive conversions by targeting display media and recommendations based on users’ history and demographic information. Personalization shapes the modern web experience. These applications must meet user expectations and require a real-time data store for segmentation and attribution online at scale.
Why MemSQL For Personalization and Recommendation?
MemSQL simultaneously ingests, stores and analyzes data to deliver personalized and recommended experiences when it matters most.
Streaming Data Ingest and Store
Collect and store multiple streams of data in a relational format, without relying on slow batch processing.
Fast Query Response
Discover new customer segments, overlaps or propensity to buy events as they happen using real-time and historical sources with standard SQL.
ANSI SQL compliant with full data persistence improves data accuracy that also works with existing business intelligence and middleware tools.
Shared nothing architecture for scale out and up using standard hardware. Deploy on-premises, as-a-service or a hybrid of both.
Dan McCaffrey, VP Analytics at Teespring
“Capturing real-time business insights is an ongoing process, but the positive effects have already been felt, demonstrated by our ability to personalize and target our website and marketing efforts.”
Deliver a proactive more personalized ad targeting service with real-time segmentation, attribution, and conversion.
Deliver tighter targeting with overlap analysis using converged real-time data and historical analysis in a single SQL accessible database.
Deliver the next best offer or experience to customers with real-time experiments and analysis.