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Close Sales Faster By Combining Data & Artificial Intelligence

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Tessa Burg, VP of UX & Technology Strategy
March 20, 2019

See tactics and examples of how B2B manufacturing, services and technology companies shorten their sales cycles by combining their sales and marketing data with machine learning and artificial intelligence (AI).

Data building blocks:

What and where are the right kinds of data to baseline sales and marketing effectiveness.

Data alignment for results:

How to capture, measure and grow visibility, engagement and sales. Examples of how clients align physical and digital tactics to more efficiently convert customers through aligned sales and marketing experiences.

Data strategy:

What is a data strategy, and how to expand the types of data you collect to feed advanced machine learning applications.

Machine learning and AI:

How to apply data science to scale sales and marketing results. Examples of how clients used website and voice-of-customer data to increase engagement and conversion.

Video Contents:

0:00:01 – Opening Remarks

0:03:05 – Data You Have Access To Right Now (Patty Parobek)

0:17:18 – Data You Can Get (Tessa Burg)

0:26:25 – Audience Question “Onboarding Data as Part of the Sales Process”

0:29:00 – Audience Question “Timeline for Closing the Loop”

0:32:30 – Data Strategy & Data Science (Cal al-Dhubaib)

0:52:30 – Closing Remarks

 

Related Topics

Tessa combines her marketing and software product management experience with agile principles to execute Tenlo’s rapid marketing testing, which focuses on identifying and forecasting clients' most effective experiences and sales channels for scaling successful products or launching innovation.

Tessa Burg, VP of UX & Technology Strategy

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