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What is ContextIQ?

Online shoppers are more inclined to engage with suggestions that align closely with their specific interests and requirements. By utilizing contextual targeting alongside behavior profiling, you can enhance their shopping experience significantly. Our advanced recommendation engine empowers you to tailor your content with remarkable accuracy. This level of personalization not only captivates your visitors but also fosters their ongoing engagement. As a result, the chances of converting these visitors into customers rise substantially the longer they navigate your website. Your eCommerce platform has the potential to assist customers in discovering unique and often overlooked products. Boost your sales figures by providing timely and intelligent product recommendations that resonate with users. Showcasing items and content that pique the user's interest is crucial, as only pertinent suggestions can captivate their attention, leading to meaningful interactions. ContextIQ serves as an efficient personalization tool that can be implemented swiftly. It leverages collaborative filtering algorithms to generate tailored recommendations, ensuring users receive relevant content through targeted behavioral insights. By optimizing these interactions, you can create a more compelling shopping experience that encourages repeat visits.

What is Constructor.io?

Streamlining product discovery is essential for understanding customer intent. Utilizing machine learning can enhance outcomes universally. Tailoring search, autosuggestions, browsing experiences, and recommendations for individual users is crucial. By employing computational methods that derive intent from user search queries, businesses can better connect with their audience. Furthermore, search result rankings can be refined continuously through automated learning derived from user behavior data. This data-centric, cohesive approach ensures that each person and query receives distinctive results. Additionally, integrating advanced tools can enhance automated outcomes with the insights of merchants. In order to effectively learn customer intent, automating product discovery is vital. Machine learning holds the potential to refine results on all fronts, allowing for personalized search and browsing experiences. By utilizing natural language processing, businesses can interpret queries and deliver conversion-driven results in real-time. Overall, Constructor Search adapts and evolves based on behavioral data, improving the user experience.

Media

Media

Integrations Supported

BigCommerce
Canopy
Hadoop
MACH Energy
Rainmakers
SAP Cloud Platform
commercetools

Integrations Supported

BigCommerce
Canopy
Hadoop
MACH Energy
Rainmakers
SAP Cloud Platform
commercetools

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
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

QBurst

Date Founded

2004

Company Location

United States

Company Website

www.qburst.com/en-us/products/contextiq/

Company Facts

Organization Name

Constructor

Date Founded

2014

Company Location

United States

Company Website

constructor.io

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

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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