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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
Recommend is designed to drive your business's growth in a positive direction by tailoring a personalized shopping experience for your visitors. Utilizing advanced AI technology, Recommend gathers and evaluates customer interactions to craft a distinctive shopping journey tailored to each individual. As a comprehensive marketing platform for e-commerce, Recommend enables brands to deliver a unique experience that anticipates the needs and wants of consumers. The evolution of eCommerce lies in shifting from a segmented audience view to recognizing each customer as an individual. From the first moment visitors access your site, it is crucial for your business to comprehend their identities, journeys, and preferences. Our cutting-edge data collection system meticulously gathers insights and assesses every action taken while navigating your website, ensuring that each customer enjoys a personalized shopping experience like no other. This innovative approach not only enhances customer satisfaction but also fosters loyalty and encourages repeat visits.
API Access
Has API
API Access
Has API
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$82.38 per month
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
Recommend
Founded
2014
Country
United Kingdom
Website
recommend.pro/
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 Marketing
AB Testing
Abandoned Cart Email
Analytics / ROI Tracking
Customer Data Profiles
Dynamic Content
Email Marketing
Email Personalization
Facebook Ads
Google Ads
Product Recommendations
Push Notifications
Retargeting
SMS Marketing
Search Marketing
Segmentation
Signup Forms & Popups
Social Marketing
Triggered Emails
Website Visitor Tracking
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