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Manago AI is a customer engagement platform designed to help marketers turn customer insights into campaigns through a simpler, prompt-driven experience. The platform, previously known as SALESmanago, is positioned as a customer data and engagement platform for eCommerce and customer lifecycle teams. It combines customer data, campaign workflows, content creation, recommendations, reporting, and cross-channel messaging in one environment. The Customer Data Platform unifies behavior, purchases, engagement, preferences, consent, and predictive signals into live customer profiles that can be used for campaigns, journeys, and personalization. Marketing automation helps teams build journeys around real customer behavior, including browsing, buying, cart abandonment, return visits, and disengagement. Commerce Marketing captures customer intent from views, carts, wishlists, back-in-stock requests, price-drop alerts, and purchase history so teams can recover revenue and create the next buying moment faster. Personalization adapts messages, offers, timing, and experiences using customer data, behavior, AI predictions, product context, interests, intent, purchase history, and journey stage. Recommendation tools use browsing history, purchase behavior, product data, and AI scoring to show products each customer is more likely to want next. Manago AI also supports email, SMS, WhatsApp, and website engagement so teams can coordinate customer journeys across the channels customers already use. Its AI layer includes predictive, generative, conversational, recommendation, and agentic AI, while AI MCP lets users access customer data and take action from ChatGPT, Claude, Cursor, and other MCP-compatible tools. By combining CDP capabilities, marketing automation, commerce marketing, personalization, recommendations, agentic AI, MCP access, integrations, APIs, and omnichannel messaging, Manago AI helps brands engage, convert, and retain customers more effectively.
What is Amazon Personalize?
Amazon Personalize enables developers to build applications that leverage the sophisticated machine learning technology behind Amazon.com’s real-time personalized recommendations, eliminating the need for specialized machine learning knowledge. This service streamlines the development of applications that can deliver a wide array of customized experiences, including personalized product recommendations, unique product rankings, and tailored marketing initiatives. As a completely managed machine learning solution, Amazon Personalize moves beyond conventional static recommendation systems by creating, refining, and deploying distinct ML models that yield highly specific recommendations across various industries, including retail, media, and entertainment. The platform efficiently manages the necessary infrastructure and oversees the entire machine learning process, which encompasses data processing, feature selection, and the identification of the best algorithms, along with model training, optimization, and hosting. This comprehensive approach allows developers to concentrate on improving user engagement rather than navigating the intricacies of machine learning deployment. Consequently, Amazon Personalize serves as a powerful tool that not only simplifies the recommendation process but also enhances customer satisfaction through more relevant interactions.
Integrations Supported
AWS App Mesh
Aurea CRM
Firmao CRM
Focus Contact Center
HiConversion
IdoSell
Landingi
LiveWebinar
Omniconvert
PrestaShop
Integrations Supported
AWS App Mesh
Aurea CRM
Firmao CRM
Focus Contact Center
HiConversion
IdoSell
Landingi
LiveWebinar
Omniconvert
PrestaShop
API Availability
Has API
API Availability
Has API
Pricing Information
$0
The price depends on the functionalities you need and number of contacts in your database.
Free Version
Free Trial Offered?
Pricing Information
Pricing not provided
Free Version
Free Trial Offered?
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Manago AI
Date Founded
2011
Company Location
Poland
Company Website
manago.ai/
Company Facts
Organization Name
Amazon
Date Founded
1994
Company Location
United States
Company Website
aws.amazon.com/personalize/
Categories and Features
Customer Data Platforms (CDP)
Behavioral Analytics
Campaign Management
Customer Profiles
Customer Segmentation
Data Integration
Data Matching
GDPR Compliance
Personalization
Predictive Modeling
eCommerce Personalization
A/B Testing
Abandoned Cart Email
Dynamic Pricing
Offers & Discounts Notifications
Personalized Site Navigation
Product Recommendations
Reporting / Analytics
Social Insights
Email Marketing
A/B Testing
Artificial Intelligence
Auto-Responders
CAN SPAM Compliance
Customer Surveys
Drip Campaigns
Dynamic Content
Event Triggered Email
Image Library
Landing Pages/Web Forms
Mailing List Management
Mobile Optimized Emails
Reporting/Analytics
Subscriber Management
Template Management
WYSIWYG Email Editor
Lead Generation
Contact Discovery
Contact Import/Export
Lead Capture
Lead Database Integration
Lead Nurturing
Lead Scoring
Lead Segmentation
Pipeline Management
Prospecting Tools
Visitor Identification
Lead Nurturing
A/B Testing
Campaign Management
Drip Campaigns
Lead Capture
Lead Notifications
Lead Scoring
Lead Segmentation
Performance Metrics
Personalization
Pipeline Management
Marketing Automation
A/B Testing
Analytics / ROI Tracking
Artificial Intelligence
Content / Blogging Platform
Customizable CTAs
Drip Campaigns
Dynamic Content
Landing Pages / Web Forms
Lead Scoring
Sales Intelligence
Search Marketing
Segmentation
Social Marketing
Website Visitor Tracking
Mobile Marketing
Channel Attribution
Contextual Targeting
Coupons
Email Marketing
Engagement Monitoring
In-App Marketing
Location-Based Marketing
Push Notifications
Text Messaging
Text-to-Win
Personalization
A/B Testing
Abandoned Cart Saver
Account Based Marketing
Behavioral Targeting
Campaign Segmentation
Content Analytics
Contextual Targeting
Customer Profiles
Experience Management
Recommendation Engine
Website Personalization
Retargeting
A/B Testing
Audience Targeting
Behavioral Targeting
Conversion Tracking
Geo Targeting
Mobile Retargeting
Personalization
Recommendation Engine
Social Media Retargeting
Sales Intelligence
CRM Integration
Data Cleaning
Data Enrichment
Data Import/Export
Data Mining
Data Verification
Email Integration
Lead Scoring
List Building
Performance Management
Pipeline Management
Predictive Modeling/Analytics
Prospecting Tools
Reporting/Analytics
Sales Forecasting
Categories and Features
eCommerce Personalization
A/B Testing
Abandoned Cart Email
Dynamic Pricing
Offers & Discounts Notifications
Personalized Site Navigation
Product Recommendations
Reporting / Analytics
Social Insights
