Everyday AI Podcast – An AI and ChatGPT Podcast

EP 115: How To Make AI Work For Your Product Marketing

Oct 4, 2023

Daniel Glickman, Sr. Director of Product Marketing at ActivTrak, shares insights on the transformative role of AI in product marketing. He discusses how AI can help companies research faster and enhance productivity. The conversation touches on using generative AI to analyze team performance and streamline tasks, alongside the challenges of implementing these technologies. Glickman emphasizes a customer-centric approach and the importance of human oversight in leveraging AI tools effectively. This is a must-listen for anyone interested in the future of marketing!

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INSIGHT

Product Development Teams

Many teams work on product development, considering customer impact and marketing strategies.
This isn't random; dedicated teams ensure better products and explanations.

INSIGHT

AI-Driven Productivity Insights

ActiveTrack analyzes metadata like time spent in different applications to understand productivity.
AI connects non-obvious dots to reveal hidden productivity patterns, like why some sales reps outperform others.

ANECDOTE

Actionable vs. Research Time

Daniel Glickman analyzed his sales team's data and found that top performers spent more time on actionable tasks than research.
This revealed a coaching opportunity: shifting focus from research to action.

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What challenges and opportunities come with implementing AI in product marketing? How can we gain better insights into company productivity? Daniel Glickman, Sr. Director, Product Marketing at ActivTrak, joins us to discuss the power of AI in helping companies research faster and the potential impact it can have on changing the way products are used and marketed.

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Timestamps:
[00:01:25] Daily AI news
[00:03:55] About Daniel Glickman and ActivTrak
[00:07:45] Using AI to track employee activity
[00:11:30] How will AI change employee efficiency?
[00:15:50] How Daniel and ActivTrak use AI
[00:20:30] Using AI and ActiveTrack for small teams
[00:24:45] Data collection for product marketing
[00:27:35] Daniel's advice on AI in product marketing

Topics Covered in This Episode:
1. The interest in generative AI and analyzing data
2. AI in product usage and marketing
3. Bottom-up approach in product marketing and the use of bots
4. Implementing AI in the workplace and its impact on employee effectiveness

Keywords:
generative AI, analyzing data, sales reps, productivity, implementing generative AI, research faster, examining data, AI, products, marketing, understanding products, podcast, everyday people, growing companies, advancing careers, livestream, AI jobs, LinkedIn data, Anthropic, AI startup, investment, valuation, product marketing, bottom-up approach, competitors' features, automate tasks, future advancements, connect dots, research obstacle, traditional product marketing, market challenges, product developers, sales team, transformation team, small business approach, mid-market approach, reorganizing sales and marketing, sales-led, account-based marketing, new product feature, employee productivity, employee engagement, AI technology, identifying connections, high-performing individuals, following a specific process, coaching, workplace, generative AI, Copilot, redundancies, inefficiencies, Google Ads, entrepreneurs, well-established companies, knowledge based teams, managing teams effectively, remote work, in-office presence, usage data, cohorts, qualitative data, market demand, market research, public data, review sites, company websites, YouTube, bot, competition, research team, trade-offs, company culture, team type, units of outcome, contact centers, service centers, output measurement.

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