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Description
Agionic serves as an AI assistant widget that can be integrated into websites to boost conversion rates by effectively capturing and analyzing visitor interactions. In contrast to conventional analytics methods that primarily track clicks, Agionic focuses on understanding user intent by documenting the questions asked during instances of uncertainty or confusion. These recorded interactions are saved in searchable logs, allowing for the identification of content gaps, unclear messaging, and areas where users may face challenges. After every 50 conversations, it produces friction reports that pinpoint specific difficulties encountered by users, such as uncertainties regarding trial durations or integration processes. To ensure real-time accuracy, Agionic consistently maps the website and retrieves the latest content for each interaction. Its design prioritizes minimalism, steering clear of intrusive features like popups or floating buttons, which helps in preserving a smooth user experience. The installation process is user-friendly and offers various methods, including an npm package, a WordPress plugin, or a straightforward script tag, making it accessible for different website setups. Ultimately, Agionic not only improves site usability but also empowers businesses with critical insights into user behavior and needs.
Description
onWork.ai is an innovative analytics platform powered by artificial intelligence, aimed at transforming the way businesses analyze and enhance user interactions on their websites. Equipped with a range of cutting-edge tools such as AI heatmaps, session recordings, and real-time monitoring of user behavior, onWork.ai empowers marketers, web developers, and business owners to visualize visitor engagement effectively. This insightful data allows them to pinpoint critical areas of interest, streamline site navigation, and optimize content, significantly increasing conversion rates. By delivering detailed metrics related to clicks, scrolls, and overall engagement, onWork.ai plays a crucial role in refining the customer experience, ultimately leading to improved business outcomes. Furthermore, its in-depth reports on user behavior trends, page efficiency, and traffic movements provide actionable, data-driven strategies for website enhancement. Whether analyzing peak usage times, understanding user device choices, or assessing the performance of specific pages, onWork.ai equips users with the essential insights to craft focused and effective marketing strategies. In a digital landscape where user experience is paramount, leveraging such detailed analytics can set a business apart from its competitors.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
WordPress
npm
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
Agionic
Country
United States
Website
www.agionic.com
Vendor Details
Company Name
onWork.ai
Founded
2024
Country
India
Website
onwork.ai/
Product Features
Chatbot
Call to Action
Context and Coherence
Human Takeover
Inline Media / Videos
Machine Learning
Natural Language Processing
Payment Integration
Prediction
Ready-made Templates
Reporting / Analytics
Sentiment Analysis
Social Media Integration
Product Features
Heatmap
Behavioral Mapping
Dashboard
Dynamic Maps
Element Analytics
Embeddable Maps
For Sales
For Science
Radial Mapping
Territorial Mapping
Website Analytics
Session Replay
Eye Tracking
Form Analytics
Heatmaps
Mouse Tracking
Optimization Tools
Session Recording
Surveys
User Experience Analysis
User Feedback
Visitor Segmentation