Conversational AI and Speech Analytics
- Use Keywords to define and segment conversations.
- Easily sift though large quantities of data to find intent signals.
- Ability to train AI model and spot opportunities and issues in near real time.


Keyword spotting refers to identifying specific words in a conversation. To identify a keyword, recorded audio gets transcribed using AI-based speech recognition tools. Once a written transcript is available, it is relatively straightforward to ‘spot’ specific words.
Conversational Analytics analyzes conversations to determine caller intent. For example, if historical data suggests that callers using specific words are likely to place an order, such callers can be classified as an ‘Opportunity.’ This allows sales teams to focus on real-time opportunities by identifying these words in new conversations.
Convertus
We received highly responsive support for complex call tracking setups, including unique DNI and campaign-token scenarios. We expanded from 5 tracked projects to 50 while AvidTrak stayed committed to our growth.
50 ProjectsThink Integrated
We found the platform easy to use, and the fast, helpful support made the difference. After 5+ years, we still value both the product and the consistency of AvidTrak’s updates and service
5+ YearsWholesale Brand
We gained accurate call tracking, better visibility into marketing performance, and stronger customer insight. The responsive human support helped us make data-driven campaign decisions with confidence.
Marketing InsightsExplore our pricing plans Adapting to your unique marketing attribution needs, while remaining incredibly affordable.
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