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Description
Amazon Personalize allows developers to create applications utilizing the same machine learning (ML) technology that powers real-time personalized recommendations on Amazon.com, all without requiring any prior ML knowledge. This service simplifies the development of applications that can provide a variety of personalized experiences, such as tailored product suggestions, reordering of product listings based on user preferences, and individualized marketing campaigns. As a fully managed ML service, Amazon Personalize surpasses traditional static recommendation systems by training, tuning, and deploying custom ML models that offer highly tailored recommendations for various sectors, including retail and media. The platform takes care of all necessary infrastructure, managing the complete ML pipeline, which encompasses data processing, feature identification, selection of optimal algorithms, and the training, optimization, and hosting of the models. By streamlining these processes, Amazon Personalize empowers businesses to enhance user engagement and drive conversions through advanced personalization techniques. This innovative approach allows companies to leverage cutting-edge technology to stay competitive in today's fast-paced market.
Description
Enhance the user journey with an intuitive machine learning solution designed to boost conversion rates. LiftIgniter serves as a comprehensive platform that personalizes every facet of the customer journey. By utilizing real-time machine learning, LiftIgniter ensures that users receive pertinent and timely recommendations while safeguarding their privacy. Make sure both new and returning customers are presented with relevant suggestions instantly. Tailor recommendations to fit the unique aesthetic of your brand, while also preventing users from encountering outdated or previously acquired items. Set up placement rules swiftly to direct visitors towards the content that aligns best with their interests. Experience a rise in cart values and conversion rates by up to 15% within just two weeks. Take advantage of ML-driven personalization to enhance basket sizes and revenue. Foster a one-to-one marketing relationship through customized recommendations, thereby converting a greater number of customers and enhancing overall satisfaction. Ultimately, leveraging this powerful tool can transform the way customers interact with your brand and drive significant business growth.
API Access
Has API
API Access
Has API
Integrations
AWS AI Services
AWS App Mesh
Google Analytics
HiConversion
Segment
SendGrid
Shopify
Integrations
AWS AI Services
AWS App Mesh
Google Analytics
HiConversion
Segment
SendGrid
Shopify
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/personalize/
Vendor Details
Company Name
LiftIgniter
Founded
2014
Country
United States
Website
www.liftigniter.com
Product Features
eCommerce Personalization
A/B Testing
Abandoned Cart Email
Dynamic Pricing
Offers & Discounts Notifications
Personalized Site Navigation
Product Recommendations
Reporting / Analytics
Social Insights
Product Features
eCommerce Personalization
A/B Testing
Abandoned Cart Email
Dynamic Pricing
Offers & Discounts Notifications
Personalized Site Navigation
Product Recommendations
Reporting / Analytics
Social Insights
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
