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MoEngage

MoEngage is a cross-channel customer engagement platform for marketers and product teams. It combines real-time analytics, journey orchestration, and AI-driven personalization (Sherpa) to deliver targeted messages across email, push, in-app, SMS, WhatsApp, and web. Teams use a visual flow builder to design multi-step journeys, optimize content automatically, and run experiments. MoEngage also provides SDKs and APIs to capture events, user attributes, and handle deep links on mobile apps, plus web personalization with a WYSIWYG editor and server-side transactional messaging (Inform). Enterprise features include data-residency options, role-based access, IP allow-listing, and regional data centers.

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Demo Video for MoEngage

Developer

MoEngage, Inc.

moengage.com/
moengage
𝕏moengage
1 AI Tool
MoEngage, Inc. is a privately held SaaS company (founded 2014) that provides an insights-led customer engagement platform with AI-drive…read more
MoEngage, Inc. developer profile

Pricing and Plans

PlanPriceFeatures
GrowthContact us
  • Behavior-based personalization
  • Omnichannel journey builder
  • AI/ML timing & content optimization
  • Enhanced mobile push delivery
  • Access to MoEngage implementation experts
EnterpriseContact us
  • Catalog sync & hyper-personalized recommendations
  • Auto-path optimization in journeys
  • Advanced security & access controls
  • Regional data residency & IP allow-listing
MoEngage Personalize (Web)Contact us
  • WYSIWYG web personalization at scale
  • Prediction- and affinity-based experiences
  • A/B testing and insights for optimization
  • Support for anonymous visitor targeting

System Requirements

Operating System
WINDOWS, MACOS, LINUX
Memory (RAM)
4GB+ (recommended for dashboard use)
Processor
Dual-core 2.0GHz+
Disk Space
200MB+ (SDKs/tooling; core app is web-based)

AI Capabilities

Predictive segmentation and churn propensity
Send-time optimization
Content variant auto-optimization
Affinity and next-best-channel predictions
Generative AI-assisted messaging
Recommendation and personalization
Anomaly detection in campaign performance
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