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Category Archives: Conversation Analytics

Marchex Call Summaries and Sentiment Suite Receive 2024 AI Breakthrough Award

Marchex is excited to announce that we have been selected as winners of the 2024 AI Breakthrough Award for “Best Text Generative AI Solution” for our latest Generative AI innovations: Call Summaries and Sentiment Suite. These are utilized by businesses to enhance their marketing, sales, and operations activities. AI Breakthrough is a top market intelligenceContinue reading “Marchex Call Summaries and Sentiment Suite Receive 2024 AI Breakthrough Award”

Turn Gaps into Gains with Conversational Intelligence

Understanding customer interactions has never been more paramount in the rapidly evolving business communications landscape. The recent Marchex webinar, “3 Missed Customer Insights: Turning Gaps into Gains,” emphasized some of the most critical areas for businesses, particularly in the home services market, that want to achieve a competitive advantage by combining conversational data and analyticsContinue reading “Turn Gaps into Gains with Conversational Intelligence”

How Home Services Marketers Are Winning with Call Insights: Customer Stories

As a home services marketer, you’re navigating tricky waters. Costs are rising—cost per click (CPC) keeps climbing, conversions are dipping, and leads are getting expensive. It feels like you’re pouring more into campaigns but seeing less in return. So, how do you ensure that every dollar you invest is pulling its weight?   The answer mightContinue reading “How Home Services Marketers Are Winning with Call Insights: Customer Stories”

Navigating the Conversational Analytics Maze – The Flaws of Accuracy as an AI Model Metric

It has been a little over a year since ChatGPT was released, throwing everyone into a frenzy on how to incorporate the now commoditized technology that is generative AI (GAI) into their everyday workflows. One need not look further than the conversational analytics industry to see this trend in real time, where new GAI-powered productsContinue reading “Navigating the Conversational Analytics Maze – The Flaws of Accuracy as an AI Model Metric”

Navigating the Conversational Analytics Maze – Precision in Perspective

If you have not yet read Blog 1 of Navigating the Conversational Analytics Maze, I would highly recommend you do so, since it provides the necessary context to help understand most of the examples and concepts in this post.  Welcome back to our series on how to assess the wide variety of AI-powered conversational analyticsContinue reading “Navigating the Conversational Analytics Maze – Precision in Perspective”