Funnel Reboot

Today we’ll talk about automated marketing data pipelines for reporting and even activation. If that last sentence didn’t make total sense to you, don’t worry, our guest is going to tell us why we need it and how we can set out implementing it. 

The place where Noah Learner got his start was on the island of Nantucket.  It’s around 20km (15 mi) long, which is small enough that most visitors leave their cars on the mainland, come across on the ferry and rent a bike. 

Noah’s journey started with a job at one of the island’s bike rental shops. Over the next decade as he rose to become the company’s GM, he became convinced of the power of SEO for driving traffic. 

He relocated to Colorado, at various points he worked in corporate SEO roles and worked out on his own. He even mashed up skills from his past to serve businesses in the pedal-powered rental market, calling it ‘bike shop SEO.’

In the past 4-5 years he’s built cutting edge SEO tools using Google Cloud technology and has shared how to deploy them by speaking at MozCon, SearchLove and LocalU and in the agencyautomators.com community which he cofounded. he’s just taken on a new role  that has tool-building  baked into his mandate, as Director of Innovation for Sterling Sky. 

When not at work, he loves doing typical Colorado things like fly fishing and skiing, along with family-friendly activities like hiking and camping where their two dogs can tag along.

People/Products/Concepts Mentioned in Show

DBT, or  Data Build Tool is a set of scripts or programs that, when deployed, cleans and transforms a data source’s original tables and fields into a usable format for analysis.

VS code environment

Noah’s LinkedIn profile

Two Octobers

Learner’s model: Revenue = Transactions X Conversion Rate X Average Order Value 

Disclaimer:When I bring technology vendors on the show, you should know that they are not sponsors or affiliates. They’re simply here to give you a broader perspective.

Puneet Gangrade is a Customer Success Engineer, an active amateur soccer and badminton player and a resident of New York City who originally hails from Indore, India

He works at Habu, a data clean room software company, with the goal of creating reliable data and media strategies for all of his clients. He is responsible to work with Habu’s Engineering, Product teams, and clients on end-to-end workflows including clean room adoption, onboarding, planning, implementation, and growth. Habu works across distributed data platforms that allow agencies, publishers, advertisers, and their partners to truly unlock the potential of data and collaborate in a privacy-safe manner. 

He has been a data clean room enthusiast since the beginning of 2018. Previously, he worked as a Digital Analytics Specialist at Time Inc till Oct 2017 and as a Data Science Team Lead at MightyHive, an adtech agency from early 2018 to mid-2022. He has a BS in Computer Science and earned his MS in Marketing Intelligence from Fordham University Gabelli School of Business, with a concentration in Marketing and Analytics.

Amid the rise of advanced measurement techniques in media and other industries, he likes to keep learning about various data clean room technologies and constantly think of use cases in media, finance, CPG, pharma, etc. where data clean rooms could be leveraged. He continues his passion for everything related to data clean rooms and data collaboration at Habu.

People/Products/Concepts Mentioned in Show

Puneet’s LinkedIn Profile

Puneet’s Twitter Profile

Company where Puneet works: Habu

Description of Walled Gardens

Concept of an Escrow (example given with finance can also be applied to data)

Episode Reboot: Read this background article: Data clean room: A silver bullet to a post-cookie transition?