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Build Your Ideal GTM Playbook

September 21, 2023 @ 1:00 pm - 2:00 pm

About this event

A modern go-to-market strategy targets customers at scale through aligned and automated sales and marketing outreach. Powered by real-time data, it orchestrates omni-channel engagement to reach the right people at the right time. But achieving this is no easy feat; early-stage entrepreneurs face heavy competition from well-established players in the industry with the means to easily leverage customer insights. What can early-stage entrepreneurs do to stand out and drive growth at launch?

The Nasdaq Center is thrilled to be joined by Ben Salzman, SVP of GTM Strategy at ZoomInfo Labs, who will provide guidance on how to build the ideal GTM playbook. You’ll walk away with the insights to take your approach to timing, targeting, and content to the next level to drive greater effectiveness and efficiency from your GTM playbook, plus how to build a GTM ops function that can serve as a foundation for your team.

Key Takeaways:

    • How to unlock insights from B2B data that can power true account-based GTM
    • How to rethink your engagement tech plus tools to modernize your GTM playbook
    • How to leverage automation and AI to scale your GTM and win faster

 

OUR SPECIAL GUEST

Ben Salzman

SVP, ZoomInfo Labs & GTM Strategy

Ben Salzman, SVP, GTM Strategy and ZI Labs for ZoomInfo (NASDAQ:ZI), is a seasoned Go-to-Market (GTM) executive with two decades of experience in advising enterprise tech companies globally. After a decade leading sales teams at Oracle and Google, in 2016 Ben started Dogpatch Advisors, an advisory and research firm that helped companies rethink GTM programs and help design more impactful, scalable GTM playbooks. In 2022, ZoomInfo acquired Dogpatch Advisors and Ben joined ZoomInfo with a focus on GTM Innovation and GTM strategy.

Details

Date:
September 21, 2023
Time:
1:00 pm - 2:00 pm
Event Category:
Website:
https://www.eventbrite.com/e/build-your-ideal-gtm-playbook-tickets-696663959657?aff=ebdsoporgprofile