Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Enhance your conversion rates and boost engagement while providing timely and relevant product suggestions through unique reinforcement learning features exclusive to Azure. By selecting key content, refining layouts, and tailoring offers with just two API requests, you can seamlessly implement these capabilities. The AI Personalizer, a component of Azure AI Services, serves as an independent personalization tool or as a supplement to your current ranking systems, requiring no prior machine learning knowledge. This allows you to deliver experiences that evolve with customer behavior, leading to improved click-through rates on homepages, the creation of personalized channels, or the fine-tuning of coupon offers and conditions. With the power of AI, you can identify what drives optimal results, ensuring you remain responsive to shifting trends in the market. Unlike traditional recommendation engines that provide a multitude of choices from an extensive catalog, AI Personalizer consistently delivers the top recommendation for each user interaction with your application. Integrating AI Personalizer is straightforward, requiring only two lines of code, and you can easily track prediction accuracy and make adjustments as necessary to enhance user experience continuously. As you leverage this advanced technology, your ability to connect with customers meaningfully will significantly increase, further solidifying your position in the competitive landscape.
Description
Online customers prefer recommendations that are relevant and interesting to their interests or needs. With contextual targeting and behavior profiling, you can give them a better experience. Our recommendation engine allows you to personalize your content more precisely. Personalized content will keep your visitors engaged. The likelihood of a conversion increases the longer a visitor spends on a site. Your eCommerce store can help shoppers find hidden items. Increase sales by offering timely and intelligent product recommendations. Display products and content that are of interest to the user. Only relevant suggestions grab the attention of users and lead to productive interactions. ContextIQ is a personalization tool that can be deployed quickly. It uses collaborative filtering algorithms for recommendations. It can suggest content to users via behavioral targeting.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Azure AI Services
Yes
Crestwood Cloud
Yes
Hadoop
No
Microsoft Azure
Yes
Integrations
Azure AI Services
No
Crestwood Cloud
No
Hadoop
Yes
Microsoft Azure
No
Pricing Details
$1 per 1,000 transactions
Free Trial
Yes
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Microsoft
Founded
1975
Country
United States
Website
azure.microsoft.com/en-us/products/ai-services/ai-personalizer/
Vendor Details
Company Name
QBurst
Founded
2004
Country
United States
Website
www.qburst.com/en-us/products/contextiq/
Product Features
Personalization
A/B Testing
No
Abandoned Cart Saver
No
Account Based Marketing
No
Behavioral Targeting
No
Campaign Segmentation
No
Content Analytics
No
Contextual Targeting
No
Customer Profiles
No
Experience Management
No
Recommendation Engine
No
Website Personalization
No
Product Features
eCommerce Personalization
A/B Testing
No
Abandoned Cart Email
No
Dynamic Pricing
No
Offers & Discounts Notifications
No
Personalized Site Navigation
No
Product Recommendations
No
Reporting / Analytics
No
Social Insights
No
Personalization
A/B Testing
No
Abandoned Cart Saver
No
Account Based Marketing
No
Behavioral Targeting
No
Campaign Segmentation
No
Content Analytics
No
Contextual Targeting
No
Customer Profiles
No
Experience Management
No
Recommendation Engine
No
Website Personalization
No