5 Folgen

Dive deep into the best sales & marketing automation stacks with hosts John J. Wall of Marketing Over Coffee and Sean Zinsmeister of Infer.

Stack and Flow Stack and Flow

    • Wirtschaft

Dive deep into the best sales & marketing automation stacks with hosts John J. Wall of Marketing Over Coffee and Sean Zinsmeister of Infer.

    Sean Zinsmeister, VP Product Marketing, ThoughtSpot & John J. Wall, Partner, Trust Insights

    Sean Zinsmeister, VP Product Marketing, ThoughtSpot & John J. Wall, Partner, Trust Insights

    Data and The New Normal of Remote

    • 44 Min.
    Jocelyn Brown, VP of Customer Success at Allocadia- Return on Intent, BI, and Attribution

    Jocelyn Brown, VP of Customer Success at Allocadia- Return on Intent, BI, and Attribution

    In this episode Jocelyn talks about:

    Data supported decision making
    Why it's not about ROI
    Marketing performance management

    • 41 Min.
    Scott Brinker, VP of Platform Infrastructure at Hubspot - China, Customer Ops, and Citizen Tech

    Scott Brinker, VP of Platform Infrastructure at Hubspot - China, Customer Ops, and Citizen Tech

    In this episode Scott talks about:

    Martech in China
    The Martech 5000
    Marketing Governance

    • 27 Min.
    Sam Usem of 3M - Digging Into The Data, Managing Massive Installs, and Staying Agile

    Sam Usem of 3M - Digging Into The Data, Managing Massive Installs, and Staying Agile

    In this episode Sam discusses:

    Getting marketing teams to understand the results from their tools
    The unique challenges of being the largest install for a SaaS vendor
    Using governance to hold the ship together while remaining agile

    • 29 Min.
    Amit Bendov of Gong - Call Analysis, The Science of Sales, and Unsupervised Learning

    Amit Bendov of Gong - Call Analysis, The Science of Sales, and Unsupervised Learning

    In this episode Amit Talks about:

    The role of data for the modern sales rep
    Processing voice and context
    Unsupervised learning in speech analysis

    • 34 Min.

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