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Using AI Trackers to Uncover Buyer Behavior in Sales Conversations
Full episode: https://humansofmartech.com/2025/11/04/194-jane-menyo-how-gong-democratized-customer-proof-with-ai-research/
📬 1h episodes turned into 5min takeaways: https://humansofmartech.com/subscribe/
▶ All episodes: https://www.youtube.com/playlist?list=PLcfDbt1ekBYOJLJyWVF9AuUOpUVwjSeoJ
Marketers have always wanted to know what really happens inside a deal, but most companies still rely on outdated detective work. Jane sees this every day. Teams chase sales reps for insights, beg for ten minutes to “pick their brain,” and send endless surveys to customers who already told them everything during the buying process. The truth is that the answers are already there, hiding in plain sight inside thousands of recorded sales calls. The problem is that no one’s been listening closely enough.
Jane’s team at Gong uses AI trackers to change that. Instead of pulling reps away from their quota or pestering customers with follow-up questions, marketers can mine real conversations for patterns. You can search for calls with CIOs or CFOs and hear how those roles think about risk, value, or change management. You can listen to how they push back, what words they repeat, and where hesitation creeps in. That way you can stop guessing what your personas care about and start hearing it in their own voices.
“We already know these things,” Jane said. “We just aren’t very good at collecting them as marketers.”
The technology does more than keyword scanning. Gong’s AI trackers understand the intent behind words. If a customer says, “There’s a delay with the pilot,” that matters. If they say, “Sorry I was late, there was a delay in traffic,” it doesn’t. The system knows the difference, filtering noise from signal. That means marketers can trust what they’re seeing instead of wasting time validating false positives. You can track objections, stalled deals, or recurring frustrations with precision that spreadsheets never deliver.
For Jane, this capability reshapes how marketing, sales, and product teams work together. Marketers can walk into strategy meetings with data-backed narratives instead of anecdotes. They already know what messages land and what drives confusion. Sales teams stay focused on selling, and customers avoid yet another round of “What made you buy?” surveys. The insights flow directly from reality—unedited, authentic, and scalable.
Key takeaway: Use conversation intelligence to replace opinion with evidence. Start by building AI trackers around moments that matter, such as objections, pricing discussions, or deal delays. Then, listen for patterns across roles and industries. That way you can craft campaigns rooted in the language your buyers actually use, free your sales team from endless debriefs, and design messaging that mirrors how decisions really happen.
Видео Using AI Trackers to Uncover Buyer Behavior in Sales Conversations канала Humans of Martech Podcast
📬 1h episodes turned into 5min takeaways: https://humansofmartech.com/subscribe/
▶ All episodes: https://www.youtube.com/playlist?list=PLcfDbt1ekBYOJLJyWVF9AuUOpUVwjSeoJ
Marketers have always wanted to know what really happens inside a deal, but most companies still rely on outdated detective work. Jane sees this every day. Teams chase sales reps for insights, beg for ten minutes to “pick their brain,” and send endless surveys to customers who already told them everything during the buying process. The truth is that the answers are already there, hiding in plain sight inside thousands of recorded sales calls. The problem is that no one’s been listening closely enough.
Jane’s team at Gong uses AI trackers to change that. Instead of pulling reps away from their quota or pestering customers with follow-up questions, marketers can mine real conversations for patterns. You can search for calls with CIOs or CFOs and hear how those roles think about risk, value, or change management. You can listen to how they push back, what words they repeat, and where hesitation creeps in. That way you can stop guessing what your personas care about and start hearing it in their own voices.
“We already know these things,” Jane said. “We just aren’t very good at collecting them as marketers.”
The technology does more than keyword scanning. Gong’s AI trackers understand the intent behind words. If a customer says, “There’s a delay with the pilot,” that matters. If they say, “Sorry I was late, there was a delay in traffic,” it doesn’t. The system knows the difference, filtering noise from signal. That means marketers can trust what they’re seeing instead of wasting time validating false positives. You can track objections, stalled deals, or recurring frustrations with precision that spreadsheets never deliver.
For Jane, this capability reshapes how marketing, sales, and product teams work together. Marketers can walk into strategy meetings with data-backed narratives instead of anecdotes. They already know what messages land and what drives confusion. Sales teams stay focused on selling, and customers avoid yet another round of “What made you buy?” surveys. The insights flow directly from reality—unedited, authentic, and scalable.
Key takeaway: Use conversation intelligence to replace opinion with evidence. Start by building AI trackers around moments that matter, such as objections, pricing discussions, or deal delays. Then, listen for patterns across roles and industries. That way you can craft campaigns rooted in the language your buyers actually use, free your sales team from endless debriefs, and design messaging that mirrors how decisions really happen.
Видео Using AI Trackers to Uncover Buyer Behavior in Sales Conversations канала Humans of Martech Podcast
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13 декабря 2025 г. 23:30:13
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