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What is Recommend?

Recommend is specifically crafted to propel your business forward by providing a customized shopping experience for every visitor. By leveraging sophisticated AI technology, Recommend collects and analyzes customer interactions to create a unique shopping journey tailored to each individual. As a holistic marketing platform designed for e-commerce, Recommend empowers brands to offer an experience that not only meets but anticipates the desires and needs of consumers. The future of eCommerce is transitioning from viewing customers as a collective group to recognizing each person as a unique individual. From the moment visitors arrive on your website, it is essential for your business to understand their identities, pathways, and preferences. Our state-of-the-art data collection system diligently gathers insights and evaluates every action taken while navigating your site, ensuring that each customer receives a shopping experience that stands out. This groundbreaking strategy not only boosts customer satisfaction but also builds loyalty and encourages customers to return. Ultimately, it is this personalization that will set your brand apart in an increasingly competitive marketplace.

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.

Media

Media

Integrations Supported

AWS AI Services
AWS App Mesh
HiConversion
Magento
Webvar

Integrations Supported

AWS AI Services
AWS App Mesh
HiConversion
Magento
Webvar

API Availability

Has API

API Availability

Has API

Pricing Information

$82.38 per month
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

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

Recommend

Date Founded

2014

Company Location

United Kingdom

Company Website

recommend.pro/

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/personalize/

Categories and 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

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

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