Emarsys
Emarsys delivers AI-powered, omnichannel customer engagement that unifies customer data and automates personalized marketing interactions across the entire customer lifecycle to drive retention and revenue growth.
Last updated May 11, 2026 by the ATDb Editorial Team · Connections updated May 14, 2026
- Industry
- Marketing Automation & Customer Engagement
- Business Model
- SaaS
- Target Market
- Enterprise
- Employee Count
- 501-1000
- Funding
- $42M
- Revenue Range
- $10M-$50M
- Parent Company
- SAP
- API Available
- Yes
Leading omnichannel customer engagement platform within SAP's Customer Experience suite, focused on B2C enterprises
Emarsys is a customer engagement platform that provides AI-powered marketing automation and personalization solutions for B2C companies. The platform enables businesses to deliver personalized, omnichannel customer experiences across email, mobile, web, SMS, and social channels through predictive analytics and machine learning. Founded in Vienna, Austria, Emarsys built a strong presence in the marketing technology space serving retail, e-commerce, and travel industries. In 2020, Emarsys was acquired by SAP and integrated into SAP's Customer Experience portfolio as SAP Emarsys Customer Engagement. The platform continues to operate as a distinct product within SAP's ecosystem, maintaining its brand identity while benefiting from SAP's enterprise resources and customer base. Today, Emarsys serves thousands of customers globally, including major brands in retail, e-commerce, and hospitality sectors. As part of SAP, Emarsys continues to focus on delivering AI-driven personalization, customer lifecycle management, and omnichannel orchestration capabilities. The platform emphasizes its ability to unify customer data, predict customer behavior, and automate personalized interactions at scale, positioning itself as a comprehensive solution for enterprise-level customer engagement and retention.
Customer Data Platform
Unified customer data platform that consolidates customer information from multiple sources for segmentation and personalization
AI-Powered Personalization
Machine learning-driven product recommendations and content personalization across channels
Omnichannel Orchestration
Coordinated campaign management across email, mobile, web, SMS, and social channels
Marketing Automation
Automated lifecycle marketing campaigns with trigger-based workflows and customer journey mapping
Predictive Analytics
AI-driven insights for customer behavior prediction, churn prevention, and lifetime value optimization
Web Channel
On-site personalization including product recommendations, overlays, and dynamic content