Optimized editions built to
accelerate business outcomes
Emarsys is the first omnichannel customer engagement platform
to offer editions based on industry-specific analytics and use
cases — fueled by customer-centric personalization.
Essential
CRM Data
Achieve your most essential objectives through marketing personalization and automation.
Advanced
Lifecycle and Product Personalization
Enrich your marketing by building lifecycle-based personalized experiences, based on deep customer insights, personalization, and automation.
MAX AI
1-to-1 AI
Use the power of AI to optimize your marketing to reach maximum revenue and engagement with minimum effort and time.
Use Cases
Abandoned cart
Abandoned Browse
Post purchase
Lead re-engagement
Welcome (new contacts)
Birthday
Express sale event
Post-purchase feedback
Purchase anniversary
Registration anniversary
First-time buyer to active
Winback defecting customers
Back in stock
Price drop
Post-purchase upsell
Post-purchase category cross-sell
Post-purchase cross-sell
Repeat purchase gamification
Win back defecting customers
Win back inactive customers
Replenishment AI
Re-engagement AI
Price drop AI
Convert hot leads
Leads likely to go cold
Convert active buyers
First-time to repeat buyer
Win back Inactive leads
Platform Capabilities
Integrated Customer Data Platform (CDP)
Website data collection
Magento & Shopify integrations
360-degree unified customer profile
Segmentation based on demographics, behaviors, and geolocation
Cross-channel identity resolution
Segmentation based on products and purchase data, web events, product affinity (AI)
Segmentation based on products and purchase data, web events, product affinity (AI)
Process up to 15TB of data via Open Data
Self-learning prediction algorithms
Segmentation based on engagement score (AI)
Channel affinity (AI)
Predicted cart value (AI)
Unsubscribe Probability Score (AI)
Purchase Probability Score (AI)
Channel-agnostic personalization
Conditional content based on contact data and segments
Drag and drop WYSIWYG campaign editor
Editable templates
Template scripting language
A/B testing
Voucher personalization
Send time optimization (AI)
Conditional content from relational data
Product recommendations (AI)
Real-time content based on real-time conditions
Incentives based on revenue prediction
Predictions for replenishable products
Predictions based on lifecycle data
Omnichannel automation
Customer journey canvas
Triggered campaigns
Automated split testing
Automated blueprints
Omnichannel execution
Real-Time interaction
Real-time and historical filtering rules
Real-time contextual decisions
Product tactics
Decisions by Channel Affinity Scoring (AI)
Analytics
Strategic Dashboard
Campaign analytics
Web engagement analytics
Customer lifecycle analytics
Revenue impact reports
Product affinity reports
Analytics for product recommendations
Store analytics
Open Data: Custom Exports
Abandoned cart
Abandoned Browse
Post purchase
Lead re-engagement
Welcome (new contacts)
Birthday
Express sale event
Post-purchase feedback
Purchase anniversary
Registration anniversary
First-time buyer to active
Winback defecting customers
Back in stock
Price drop
Post-purchase upsell
Post-purchase category cross-sell
Post-purchase cross-sell
Repeat purchase gamification
Win back defecting customers
Win back inactive customers
Replenishment AI
Re-engagement AI
Price drop AI
Convert hot leads
Leads likely to go cold
Convert active buyers
First-time to repeat buyer
Win back Inactive leads
Website data collection
Magento & Shopify integrations
360-degree unified customer profile
Segmentation based on demographics, behaviors, and geolocation
Cross-channel identity resolution
Segmentation based on products and purchase data, web events, product affinity (AI)
Segmentation based on products and purchase data, web events, product affinity (AI)
Process up to 15TB of data via Open Data
Self-learning prediction algorithms
Segmentation based on engagement score (AI)
Channel affinity (AI)
Predicted cart value (AI)
Unsubscribe Probability Score (AI)
Purchase Probability Score (AI)
Conditional content based on contact data and segments
Drag and drop WYSIWYG campaign editor
Editable templates
Template scripting language
A/B testing
Voucher personalization
Send time optimization (AI)
Conditional content from relational data
Product recommendations (AI)
Real-time content based on real-time conditions
Incentives based on revenue prediction
Predictions for replenishable products
Predictions based on lifecycle data
Customer journey canvas
Triggered campaigns
Automated split testing
Automated blueprints
Omnichannel execution
Real-Time interaction
Real-time and historical filtering rules
Real-time contextual decisions
Product tactics
Decisions by Channel Affinity Scoring (AI)
Strategic Dashboard
Campaign analytics
Web engagement analytics
Customer lifecycle analytics
Revenue impact reports
Product affinity reports
Analytics for product recommendations
Store analytics
Open Data: Custom Exports
Abandoned cart
Abandoned Browse
Post purchase
Lead re-engagement
Welcome (new contacts)
Birthday
Express sale event
Post-purchase feedback
Purchase anniversary
Registration anniversary
First-time buyer to active
Winback defecting customers
Back in stock
Price drop
Post-purchase upsell
Post-purchase category cross-sell
Post-purchase cross-sell
Repeat purchase gamification
Win back defecting customers
Win back inactive customers
Replenishment AI
Re-engagement AI
Price drop AI
Convert hot leads
Leads likely to go cold
Convert active buyers
First-time to repeat buyer
Win back Inactive leads
Website data collection
Magento & Shopify integrations
360-degree unified customer profile
Segmentation based on demographics, behaviors, and geolocation
Cross-channel identity resolution
Segmentation based on products and purchase data, web events, product affinity (AI)
Segmentation based on products and purchase data, web events, product affinity (AI)
Process up to 15TB of data via Open Data
Self-learning prediction algorithms
Segmentation based on engagement score (AI)
Channel affinity (AI)
Predicted cart value (AI)
Unsubscribe Probability Score (AI)
Purchase Probability Score (AI)
Conditional content based on contact data and segments
Drag and drop WYSIWYG campaign editor
Editable templates
Template scripting language
A/B testing
Voucher personalization
Send time optimization (AI)
Conditional content from relational data
Product recommendations (AI)
Real-time content based on real-time conditions
Incentives based on revenue prediction
Predictions for replenishable products
Predictions based on lifecycle data
Customer journey canvas
Triggered campaigns
Automated split testing
Automated blueprints
Omnichannel execution
Real-Time interaction
Real-time and historical filtering rules
Real-time contextual decisions
Product tactics
Decisions by Channel Affinity Scoring (AI)
Strategic Dashboard
Campaign analytics
Web engagement analytics
Customer lifecycle analytics
Revenue impact reports
Product affinity reports
Analytics for product recommendations
Store analytics
Open Data: Custom Exports
Abandoned cart
Abandoned Browse
Post purchase
Lead re-engagement
Welcome (new contacts)
Birthday
Express sale event
Post-purchase feedback
Purchase anniversary
Registration anniversary
First-time buyer to active
Winback defecting customers
Back in stock
Price drop
Post-purchase upsell
Post-purchase category cross-sell
Post-purchase cross-sell
Repeat purchase gamification
Win back defecting customers
Win back inactive customers
Replenishment AI
Re-engagement AI
Price drop AI
Convert hot leads
Leads likely to go cold
Convert active buyers
First-time to repeat buyer
Win back Inactive leads
Website data collection
Magento & Shopify integrations
360-degree unified customer profile
Segmentation based on demographics, behaviors, and geolocation
Cross-channel identity resolution
Segmentation based on products and purchase data, web events, product affinity (AI)
Segmentation based on products and purchase data, web events, product affinity (AI)
Process up to 15TB of data via Open Data
Self-learning prediction algorithms
Segmentation based on engagement score (AI)
Channel affinity (AI)
Predicted cart value (AI)
Unsubscribe Probability Score (AI)
Purchase Probability Score (AI)
Conditional content based on contact data and segments
Drag and drop WYSIWYG campaign editor
Editable templates
Template scripting language
A/B testing
Voucher personalization
Send time optimization (AI)
Conditional content from relational data
Product recommendations (AI)
Real-time content based on real-time conditions
Incentives based on revenue prediction
Predictions for replenishable products
Predictions based on lifecycle data
Customer journey canvas
Triggered campaigns
Automated split testing
Automated blueprints
Omnichannel execution
Real-Time interaction
Real-time and historical filtering rules
Real-time contextual decisions
Product tactics
Decisions by Channel Affinity Scoring (AI)
Strategic Dashboard
Campaign analytics
Web engagement analytics
Customer lifecycle analytics
Revenue impact reports
Product affinity reports
Analytics for product recommendations
Store analytics
Open Data: Custom Exports
Essential
CRM Data
Achieve your most essential objectives through marketing personalization and automation.
Advanced
Lifecycle and Product Personalization
Enrich your marketing by building lifecycle-based personalized experiences, based on deep customer insights, personalization, and automation.
MAX AI
1-to-1 AI
Use the power of AI to optimize your marketing to reach maximum revenue and engagement with minimum effort and time.
Use Cases
Offline to online purchase
In-store registration
Abandon browse
Lead re-engagement
Welcome (new contacts)
Birthday
Offline to online purchase
Abandon browse
Lead re-engagement
Welcome (new contacts)
Express Sale Event
Post-purchase feedback
Purchase anniversary
Registration anniversary
New in store
Winback defecting customers
Engage customers who stopped buying from a store to visit again
Price drop
Post Purchase Upsell
Post-purchase category cross-sell
Post-purchase cross-sell
Repeat Purchase Gamification
Win back defecting customers
Win back inactive customers
Leads Research Online Purchase Offline
First-time store buyer to repeat online
Post-purchase store feedback
Store post-purchase cross-sell
Customers Research Online Purchase Offline
Online to Offline
Replenishment AI
Re-engagement AI
Price drop AI
Convert hot leads
Leads likely to go cold
Convert active buyers
First-time to repeat buyer
Leads Winback Inactive
Platform Capabilities
Integrated Customer Data Platform (CDP)
Website data collection
Magento & Shopify integrations
360-degree unified customer profile
Segmentation based on demographics, behaviors, and geolocation
Cross-channel identity resolution
Segmentation based on products and purchase data, web events, product affinity (AI)
Data health dashboards
Process up to 15TB of data via Open Data
Self-learning prediction algorithms
Segmentation based on engagement score (AI)
Channel affinity (AI)
Predicted cart value (AI)
Unsubscribe Probability Score (AI)
Purchase Probability Score (AI)
Channel-agnostic personalization
Conditional content based on contact data and segments
Drag and drop WYSIWYG campaign editor
Editable templates
Template scripting language
A/B testing
Voucher personalization
Send time optimization (AI)
Conditional content from relational data
Product recommendations (AI)
Real-time content based on real-time conditions
Incentives based on revenue prediction
Predictions for replenishable products
Predictions based on lifecycle data
Omnichannel automation
Customer journey canvas
Triggered campaigns
Automated split testing
Automated blueprints
Omnichannel execution
Real-Time interaction
Real-time and historical filtering rules
Real-time contextual decisions
Product tactics
Decisions by Channel Affinity Scoring (AI)
Analytics
Strategic Dashboard
Campaign analytics
Web engagement analytics
Customer lifecycle analytics
Revenue impact reports
Product affinity reports
Analytics for product recommendations
Store analytics
Open Data: Custom Exports
Offline to online purchase
In-store registration
Abandon browse
Lead re-engagement
Welcome (new contacts)
Birthday
Offline to online purchase
Abandon browse
Lead re-engagement
Welcome (new contacts)
Express Sale Event
Post-purchase feedback
Purchase anniversary
Registration anniversary
New in store
Winback defecting customers
Engage customers who stopped buying from a store to visit again
Price drop
Post Purchase Upsell
Post-purchase category cross-sell
Post-purchase cross-sell
Repeat Purchase Gamification
Win back defecting customers
Win back inactive customers
Leads Research Online Purchase Offline
First-time store buyer to repeat online
Post-purchase store feedback
Store post-purchase cross-sell
Customers Research Online Purchase Offline
Online to Offline
Replenishment AI
Re-engagement AI
Price drop AI
Convert hot leads
Leads likely to go cold
Convert active buyers
First-time to repeat buyer
Leads Winback Inactive
Website data collection
Magento & Shopify integrations
360-degree unified customer profile
Segmentation based on demographics, behaviors, and geolocation
Cross-channel identity resolution
Segmentation based on products and purchase data, web events, product affinity (AI)
Data health dashboards
Process up to 15TB of data via Open Data
Self-learning prediction algorithms
Segmentation based on engagement score (AI)
Channel affinity (AI)
Predicted cart value (AI)
Unsubscribe Probability Score (AI)
Purchase Probability Score (AI)
Conditional content based on contact data and segments
Drag and drop WYSIWYG campaign editor
Editable templates
Template scripting language
A/B testing
Voucher personalization
Send time optimization (AI)
Conditional content from relational data
Product recommendations (AI)
Real-time content based on real-time conditions
Incentives based on revenue prediction
Predictions for replenishable products
Predictions based on lifecycle data
Customer journey canvas
Triggered campaigns
Automated split testing
Automated blueprints
Omnichannel execution
Real-Time interaction
Real-time and historical filtering rules
Real-time contextual decisions
Product tactics
Decisions by Channel Affinity Scoring (AI)
Strategic Dashboard
Campaign analytics
Web engagement analytics
Customer lifecycle analytics
Revenue impact reports
Product affinity reports
Analytics for product recommendations
Store analytics
Open Data: Custom Exports
Offline to online purchase
In-store registration
Abandon browse
Lead re-engagement
Welcome (new contacts)
Birthday
Offline to online purchase
Abandon browse
Lead re-engagement
Welcome (new contacts)
Express Sale Event
Post-purchase feedback
Purchase anniversary
Registration anniversary
New in store
Winback defecting customers
Engage customers who stopped buying from a store to visit again
Price drop
Post Purchase Upsell
Post-purchase category cross-sell
Post-purchase cross-sell
Repeat Purchase Gamification
Win back defecting customers
Win back inactive customers
Leads Research Online Purchase Offline
First-time store buyer to repeat online
Post-purchase store feedback
Store post-purchase cross-sell
Customers Research Online Purchase Offline
Online to Offline
Replenishment AI
Re-engagement AI
Price drop AI
Convert hot leads
Leads likely to go cold
Convert active buyers
First-time to repeat buyer
Leads Winback Inactive
Website data collection
Magento & Shopify integrations
360-degree unified customer profile
Segmentation based on demographics, behaviors, and geolocation
Cross-channel identity resolution
Segmentation based on products and purchase data, web events, product affinity (AI)
Data health dashboards
Process up to 15TB of data via Open Data
Self-learning prediction algorithms
Segmentation based on engagement score (AI)
Channel affinity (AI)
Predicted cart value (AI)
Unsubscribe Probability Score (AI)
Purchase Probability Score (AI)
Conditional content based on contact data and segments
Drag and drop WYSIWYG campaign editor
Editable templates
Template scripting language
A/B testing
Voucher personalization
Send time optimization (AI)
Conditional content from relational data
Product recommendations (AI)
Real-time content based on real-time conditions
Incentives based on revenue prediction
Predictions for replenishable products
Predictions based on lifecycle data
Customer journey canvas
Triggered campaigns
Automated split testing
Automated blueprints
Omnichannel execution
Real-Time interaction
Real-time and historical filtering rules
Real-time contextual decisions
Product tactics
Decisions by Channel Affinity Scoring (AI)
Strategic Dashboard
Campaign analytics
Web engagement analytics
Customer lifecycle analytics
Revenue impact reports
Product affinity reports
Analytics for product recommendations
Store analytics
Open Data: Custom Exports
Offline to online purchase
In-store registration
Abandon browse
Lead re-engagement
Welcome (new contacts)
Birthday
Offline to online purchase
Abandon browse
Lead re-engagement
Welcome (new contacts)
Express Sale Event
Post-purchase feedback
Purchase anniversary
Registration anniversary
New in store
Winback defecting customers
Engage customers who stopped buying from a store to visit again
Price drop
Post Purchase Upsell
Post-purchase category cross-sell
Post-purchase cross-sell
Repeat Purchase Gamification
Win back defecting customers
Win back inactive customers
Leads Research Online Purchase Offline
First-time store buyer to repeat online
Post-purchase store feedback
Store post-purchase cross-sell
Customers Research Online Purchase Offline
Online to Offline
Replenishment AI
Re-engagement AI
Price drop AI
Convert hot leads
Leads likely to go cold
Convert active buyers
First-time to repeat buyer
Leads Winback Inactive
Website data collection
Magento & Shopify integrations
360-degree unified customer profile
Segmentation based on demographics, behaviors, and geolocation
Cross-channel identity resolution
Segmentation based on products and purchase data, web events, product affinity (AI)
Data health dashboards
Process up to 15TB of data via Open Data
Self-learning prediction algorithms
Segmentation based on engagement score (AI)
Channel affinity (AI)
Predicted cart value (AI)
Unsubscribe Probability Score (AI)
Purchase Probability Score (AI)
Conditional content based on contact data and segments
Drag and drop WYSIWYG campaign editor
Editable templates
Template scripting language
A/B testing
Voucher personalization
Send time optimization (AI)
Conditional content from relational data
Product recommendations (AI)
Real-time content based on real-time conditions
Incentives based on revenue prediction
Predictions for replenishable products
Predictions based on lifecycle data
Customer journey canvas
Triggered campaigns
Automated split testing
Automated blueprints
Omnichannel execution
Real-Time interaction
Real-time and historical filtering rules
Real-time contextual decisions
Product tactics
Decisions by Channel Affinity Scoring (AI)
Strategic Dashboard
Campaign analytics
Web engagement analytics
Customer lifecycle analytics
Revenue impact reports
Product affinity reports
Analytics for product recommendations
Store analytics
Open Data: Custom Exports
Essential
CRM Data
Achieve your most essential objectives through marketing personalization and automation.
Use Cases
Winback defecting customers
Pre-trip countdown
Checking Reminder
Booking confirmation
Welcome
Birthday
Pre-trip countdown AI
Check-in Reminder AI
Post Trip AI
Platform Capabilities
Integrated Customer Data Platform (CDP)
Website data collection
Magento & Shopify integrations
360-degree unified customer profile
Segmentation based on demographics, behaviors, and geolocation
Cross-channel identity resolution
Segmentation based on products and purchase data, web events, product affinity (AI)
Data health dashboards
Process up to 15TB of data via Open Data
Self-learning prediction algorithms
Segmentation based on engagement score (AI)
Channel affinity (AI)
Predicted cart value (AI)
Unsubscribe Probability Score (AI)
Purchase Probability Score (AI)
Channel-agnostic personalization
Conditional content based on contact data and segments
Drag and drop WYSIWYG campaign editor
Editable templates
Template scripting language
A/B testing
Voucher personalization
Send time optimization (AI)
Conditional content from relational data
Product recommendations (AI)
Real-time content based on real-time conditions
Incentives based on revenue prediction
Predictions for replenishable products
Predictions based on lifecycle data
Omnichannel automation
Customer journey canvas
Triggered campaigns
Automated split testing
Automated blueprints
Omnichannel execution
Real-Time interaction
Real-time and historical filtering rules
Real-time contextual decisions
Product tactics
Decisions by Channel Affinity Scoring (AI)
Analytics
Strategic Dashboard
Campaign analytics
Web engagement analytics
Customer lifecycle analytics
Revenue impact reports
Product affinity reports
Analytics for product recommendations
Store analytics
Open Data: Custom Exports
Winback defecting customers
Pre-trip countdown
Checking Reminder
Booking confirmation
Welcome
Birthday
Pre-trip countdown AI
Check-in Reminder AI
Post Trip AI
Website data collection
Magento & Shopify integrations
360-degree unified customer profile
Segmentation based on demographics, behaviors, and geolocation
Cross-channel identity resolution
Segmentation based on products and purchase data, web events, product affinity (AI)
Data health dashboards
Process up to 15TB of data via Open Data
Self-learning prediction algorithms
Segmentation based on engagement score (AI)
Channel affinity (AI)
Predicted cart value (AI)
Unsubscribe Probability Score (AI)
Purchase Probability Score (AI)
Conditional content based on contact data and segments
Drag and drop WYSIWYG campaign editor
Editable templates
Template scripting language
A/B testing
Voucher personalization
Send time optimization (AI)
Conditional content from relational data
Product recommendations (AI)
Real-time content based on real-time conditions
Incentives based on revenue prediction
Predictions for replenishable products
Predictions based on lifecycle data
Customer journey canvas
Triggered campaigns
Automated split testing
Automated blueprints
Omnichannel execution
Real-Time interaction
Real-time and historical filtering rules
Real-time contextual decisions
Product tactics
Decisions by Channel Affinity Scoring (AI)
Strategic Dashboard
Campaign analytics
Web engagement analytics
Customer lifecycle analytics
Revenue impact reports
Product affinity reports
Analytics for product recommendations
Store analytics
Open Data: Custom Exports
Winback defecting customers
Pre-trip countdown
Checking Reminder
Booking confirmation
Welcome
Birthday
Pre-trip countdown AI
Check-in Reminder AI
Post Trip AI
Website data collection
Magento & Shopify integrations
360-degree unified customer profile
Segmentation based on demographics, behaviors, and geolocation
Cross-channel identity resolution
Segmentation based on products and purchase data, web events, product affinity (AI)
Data health dashboards
Process up to 15TB of data via Open Data
Self-learning prediction algorithms
Segmentation based on engagement score (AI)
Channel affinity (AI)
Predicted cart value (AI)
Unsubscribe Probability Score (AI)
Purchase Probability Score (AI)
Conditional content based on contact data and segments
Drag and drop WYSIWYG campaign editor
Editable templates
Template scripting language
A/B testing
Voucher personalization
Send time optimization (AI)
Conditional content from relational data
Product recommendations (AI)
Real-time content based on real-time conditions
Incentives based on revenue prediction
Predictions for replenishable products
Predictions based on lifecycle data
Customer journey canvas
Triggered campaigns
Automated split testing
Automated blueprints
Omnichannel execution
Real-Time interaction
Real-time and historical filtering rules
Real-time contextual decisions
Product tactics
Decisions by Channel Affinity Scoring (AI)
Strategic Dashboard
Campaign analytics
Web engagement analytics
Customer lifecycle analytics
Revenue impact reports
Product affinity reports
Analytics for product recommendations
Store analytics
Open Data: Custom Exports
Winback defecting customers
Pre-trip countdown
Checking Reminder
Booking confirmation
Welcome
Birthday
Pre-trip countdown AI
Check-in Reminder AI
Post Trip AI
Website data collection
Magento & Shopify integrations
360-degree unified customer profile
Segmentation based on demographics, behaviors, and geolocation
Cross-channel identity resolution
Segmentation based on products and purchase data, web events, product affinity (AI)
Data health dashboards
Process up to 15TB of data via Open Data
Self-learning prediction algorithms
Segmentation based on engagement score (AI)
Channel affinity (AI)
Predicted cart value (AI)
Unsubscribe Probability Score (AI)
Purchase Probability Score (AI)
Conditional content based on contact data and segments
Drag and drop WYSIWYG campaign editor
Editable templates
Template scripting language
A/B testing
Voucher personalization
Send time optimization (AI)
Conditional content from relational data
Product recommendations (AI)
Real-time content based on real-time conditions
Incentives based on revenue prediction
Predictions for replenishable products
Predictions based on lifecycle data
Customer journey canvas
Triggered campaigns
Automated split testing
Automated blueprints
Omnichannel execution
Real-Time interaction
Real-time and historical filtering rules
Real-time contextual decisions
Product tactics
Decisions by Channel Affinity Scoring (AI)
Strategic Dashboard
Campaign analytics
Web engagement analytics
Customer lifecycle analytics
Revenue impact reports
Product affinity reports
Analytics for product recommendations
Store analytics
Open Data: Custom Exports
Add-ons
Channels Loyalty Open Time Content Open Data Support Packages Relational Data Professional Services Creative Services