『Unlocking Sales Success with Data-Driven Hiring』のカバーアート

Unlocking Sales Success with Data-Driven Hiring

Unlocking Sales Success with Data-Driven Hiring

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 In this episode of Love Your Sales, host Leighann speaks with Tyler Marcus, CEO of Gradmor, about leveraging AI and data analytics to improve workforce productivity and business outcomes. Tyler explains how collecting and analyzing workforce data can solve issues like inefficiencies in manufacturing and retaining talent. They dive into the importance of identifying specific qualities in sales hires using behavioral assessments, and how understanding these traits can enhance sales team performance. They discuss the evolving role of HR from an administrative function to a strategic business driver, emphasizing the impact of employee engagement on business success. Contact Tyler – Linkedin - https://www.linkedin.com/in/tylermarcus/ Special Thank you to our Sponsors – Genhead – www.genhead.com and Accelerategrowth45 and the AG45 Soul Aligned Strategy Podcast – www.accelerategrowth45.com Robb Conlon – Intro and outro – Westport Studio - https://www.westportstudiosllc.com/ The Brave Ones – Instrumental Version Song by Jan Sanejko - https://artlist.io/royalty-free-music/song/the-brave-ones/119489 Ready to grow your business? Schedule a call with us today - https://api.leadconnectorhq.com/widget/bookings/discoverysalesleighann Channel Subscribe link - https://www.youtube.com/channel/UC-O7W9DzaRv4waodQKCprIg?sub_confirmation=1 Leighann Lovely: Welcome to another episode of Love Your Sales. Today I am joined by Tyler Marcus. He is the CEO of . Grad Moore, a workforce , intelligence company. Um, I am so thrilled to have you join me today. Why don't you tell us a little bit about what your company, your organization does? Tyler Marcus: Sure. Well lean, thank you for having me on, on your podcast. Excited to chat about anything business related, sales related. Uh, just give deep insight about what we do. So. My business [00:02:00] Grad Moore, uh, me and my co-founder started the business in 2017. Uh, we provide insight to help organizations improve worker productivity, efficiencies and performance, uh, to drive business outcomes. Uh, so a lot of the work we do can be around some of it now with AI automation and the manufacturing floor. Uh, we work with retail companies on improving efficiencies to hire better, uh, and retain talent better. Uh, we also work with large scale enterprises to help them solve some of their biggest challenges around workforce, uh, issues. Uh, that could be anything from executive turnover, um, you know, making sure that people, uh, performance metrics, understanding what's driving performance within an organization and what's not. Um, but most of our businesses around data, uh, workforce data, but more about using it to drive impact and how that leads to bottom line outcomes within a org. Leighann Lovely: I love that. And, you know, data nowadays, um, organizations are finally realizing that they need to look within, [00:03:00] because honestly, I, I think we've all, all, all already known that. All of the answer, not all, but most of the answers already live within the data that we have. We just haven't figured out how to translate that data into raw information. Tyler Marcus: Correct? Correct. And I think that's a common, I mean, that's a problem even at the enterprise level with the biggest companies. It's like, so the thing is it, as we get more tech companies use more technology, we use ai. Right. We take that data, what are we doing with the data that we're collecting? Right. And I think is a lot of it's not being collected or, I mean, it's being collected, but it's not being, it's not being analyzed in a certain way. And a lot of times that gets overlooked, especially on the workforce side for some reason. I think we've made strides over the years in marketing. Uh, we've made, I was in sales even to a point, but, you know, but on the workforce side, especially. There's a lot of data that doesn't get correlated that can drive different outcomes [00:04:00] within an org. So for example, if I'm working with a manufacturing company that has a distribution center, uh, with thousands and thousands of different products. They have workers that are grabbing these products and shipping them out into different places. But if it takes a worker an hour to fill an order versus a half hour, that is business in itself because now you can get more efficient If you, if someone could fill 20 orders instead of 10 in a day, what does that mean to your business? And that's just looking at your workforce data. It's not, we're not talking about anything beyond that. So I think yes, like we have gotten more data driven. How we think about things over time. I think AI now has made people think about data even more, and I've noticed that in my own business. But most of the time we have information to drive outcomes within our organization that we collect. We just don't use it at all. And it's because either we don't have time, the resources or, or just, you know, just to know how ...
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