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Shorten The Sales Cycle By Combining Data & Artificial Intelligence


Watch this video to see tactics and examples of how B2B manufacturing, services and technology companies can shorten the sales cycle by combining sales and marketing data with machine learning and artificial intelligence (AI).

Tessa Burg, Chief Technology Officer
March 20, 2019

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 marketing 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


In her previous role as Vice President of Technology, Tessa helped clients execute engaging, multi-platform experiences and products to bring their brands to life. Moving into her role as CTO, Tessa oversees Mod Op’s technology stack to ensure the agency is leveraging the right platforms to deliver valuable and measurable marketing communications, entertainment and experiences.

Tessa Burg, Chief Technology Officer

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