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Average Ratings 0 Ratings

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ease
features
design
support

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Description

Context to Call integrates call, SMS, and email icons seamlessly into your product and service pages, allowing visitors on your website and app to connect with your team instantly by tapping an icon. Each interaction is enriched with complete browsing context, including details such as the product being viewed, cart value, traffic source, and user location. Conversations are automatically directed to the appropriate human or AI agent, with AI support available in over 30 languages around the clock. The browser-based calling feature eliminates international charges, making it a cost-effective solution. It is compatible with various platforms, including Shopify, Magento, WordPress, and custom web or mobile applications. Key features include role-based access control, which is essential for distributed teams, the ability to capture missed interactions, and detailed product-level analytics. The setup process is quick, with the service going live within minutes, and pricing structured around usage metrics like minutes, SMS, and emails. Context to Call easily integrates into your existing system as a final conversion layer, enhancing your capabilities without the need for extensive replacements. This innovative solution not only streamlines communication but also enhances customer engagement by providing immediate assistance when needed.

Description

Nextiva XBert serves as an AI-driven assistant for managing customer interactions, functioning as an answering service, receptionist, and support agent available around the clock to handle calls, texts, chats, and emails. It welcomes callers, responds to inquiries, schedules and reschedules appointments, collects lead information, and addresses common issues independently, escalating matters only when they exceed the AI's capability or involve sensitive topics. XBert enhances its performance by analyzing your business website, services, operational hours, and frequently asked questions, continually refining its responses based on real user interactions. It integrates voice, text, and chat into a singular conversation thread, ensuring that context is maintained across different communication channels. Constructed on Nextiva's robust enterprise platform, it adheres to compliance standards like PCI DSS, HIPAA, and GDPR, while also providing functionalities such as complete call recording and transcription, along with customizable limits on its operational scope. Starting at approximately $99 per month for a specified number of AI conversations, XBert can be set up within minutes without the need for any coding skills, making it accessible for a wide range of businesses. Moreover, its adaptability means that it can grow and evolve with your business's needs over time.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

No images available

Integrations

Magento
Nextiva
Shopify
WordPress

Integrations

Magento
Nextiva
Shopify
WordPress

Pricing Details

$5/month
Free Trial
Free Version

Pricing Details

$15/user/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

Context to Call

Country

United States

Website

www.contexttocall.com

Vendor Details

Company Name

Nextiva XBert

Founded

2025

Country

United States

Website

www.nextiva.com/products/ai-receptionist

Product Features

Customer Communications Management

Batch Communications
Chat / Messaging
Content Management
Email Distribution
Interactive Content
Multi-Channel Communications
On-Demand Communications
Personalization
Print Management
Template Management
Video Content

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