Webinar: A Metrics-Driven Approach to Building A Powerhouse Sales Team

For decades, resumes, quota history, and last quarter’s numbers have been the default measures of potential B2B Tech sales talent. But these are lagging indicators at best—and misleading at worst. The result? Mis-hires, misalignment, and churn are costing private and PE-backed software, hardware, and service companies millions in lost revenue and wasted time.

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If you can relate, VALR Advisors invites you to join our upcoming live, one-hour webinar, A Metrics-driven Approach to Building a Powerhouse Sales Team, taking place on Thursday October 16th , at 1:00 PM EST. The event will be led by Mike Brunnick, Founder of VALR Advisors and Creator of The VALR Method. It will provide sales leaders and executives with a candid look at why traditional hiring practices fail and how behavioral -science- backed RepFit™ Metrics can transform a team for long term revenue growth.

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“Too many leaders are flying blind,” said Brunnick. “They’re relying on gut instinct when the data shows a better way. RepFit Metrics uncover forward-looking behavioral indicators that help them predict individual capability, align their teams, and build sales organizations that scale.”
During the session, attendees will learn:

• Why resumes and quota history fail to predict future success in a fluid environment
• The RepFit™ Metrics that reveal true sales potential
• How to use the data to align the right people to the right seats across a sales organization
• A step-by-step, data-driven strategy for reducing costly turnover and accelerating growth

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The webinar will include a live Q&A session, giving participants the opportunity to engage
directly with Mike on the hiring, alignment, and related revenue growth challenges they’re
facing today.

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Event Details:
Webinar: A Metrics-driven Approach to Building a Powerhouse Sales Team
Date/Time: Thursday, October 16th , 2025, at 1:00 - 2:00 PM EST
Presenter: Mike Brunnick, Founder of VALR Advisors, Creator of The VALR Method

Register here>

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