Claritiv: Conversation Intelligence Software
Claritiv helps sales teams and customer-facing departments analyze client conversations. It is designed for businesses that need to identify customer pain points and track action items from recorded meetings.
At a glance
- Category
- Sales
- Best for
- Sales Teams, Customer-facing teams, Entrepreneurs
- Pricing
- Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
- Key use cases
- Bid and Proposal Preparation, Customer Discovery, Sales Pipeline Management
- Official website
- claritiv.ai/
Claritiv is a tool designed to turn audio and video recordings of customer interactions into structured data. It uses machine learning and natural language processing to transcribe conversations and highlight key themes, emotional tones, and customer preferences.
The software is intended for entrepreneurs and sales teams who manage multiple leads and need to track specific prospect needs over a sales cycle. It helps users convert raw dialogue into lists of action items.
Buyers should note that while the tool handles video files, it currently does so by extracting the audio component for analysis. The platform is designed for teams that seek to understand customer feedback to help refine their product or sales strategy.
Key Features
Converts spoken dialogue from uploaded recordings into text for analysis.
Generates summaries that highlight meeting dynamics and focus areas.
Analyzes conversations to help pinpoint customer frustrations and desires.
Analyzes the sentiment and emotional tone of the conversation.
Identifies and lists open questions and tasks that may require follow-up.
Allows organizations to adjust the types of topics and parameters captured during meetings.
Use Cases
Using meeting insights to help create solutions based on specific prospect needs.
Analyzing customer calls to identify common preferences and knowledge gaps.
Tracking context and details across multiple leads to maintain a record of prospect requirements.
Best For
Pricing
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
FAQ
Yes, it extracts the audio component from video materials to analyze the dialogue, tone, and pace. Full visual analysis of body language and facial expressions is currently being developed.
The platform reports an accuracy range between 85% and 90% using machine learning and natural language processing.
No, the ability to record offline meetings directly within the application is currently under development.
Source category: Sales
Source subcategory: Analytics & Reporting
