Behind the Numbers: Reimagining Retail cover image

Behind the Numbers: Reimagining Retail

Reimagining Retail: The Unknown History of Cyber Monday | Nov 16, 2022

Nov 16, 2022
26:25

On today's very special holiday episode, host Sara Lebow tees up a conversation between our principal analyst Andrew Lipsman and Dan Hess, global chief product officer of The NPD Group, to unearth the long-lost history of Cyber Monday. Before it became an industrywide phenomenon in 2005, Dan and his team at Comscore were among the first to "discover" the spike in online shopping that happened the Monday after Thanksgiving—as far back as 2002. Find out what caused this phenomenon to take place, why there was so much misinformation about Cyber Monday in the early days, and what the day was originally called. 

 

For sponsorship opportunities contact us:
advertising@insiderintelligence.com


For more information visit: https://www.insiderintelligence.com/contact/advertise/


Have questions or just want to say hi? Drop us a line at podcast@emarketer.com 

 

© 2022 Insider Intelligence 

 

 

Tealium connects customer data– spanning online, in-store, mobile, and IoT devices— so retail brands can connect with their customers. Tealium empowers companies to create a unified, real-time customer data infrastructure. The Tealium Customer Data Hub makes customer data more valuable, actionable, and secure. For more information, visit www.tealium.com.

 

Get the Snipd
podcast app

Unlock the knowledge in podcasts with the podcast player of the future.
App store bannerPlay store banner

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode

Save any
moment

Hear something you like? Tap your headphones to save it with AI-generated key takeaways

Share
& Export

Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode