Tom Ridges – GDLabs: Life after cookies & the ‘Cold Start’ problem
Our love/hate relationship with cookies is about to end, so how will we be able to identify our new customers?
Fear not! Because solutions architect Tom Ridges is the CEO of GDLabs, a targeting platform that can analyze sales data to predict where your next best customers are and his company has just been VC funded to help agencies identify and track sales for their clients.
Using a ground-breaking combination of AI and data science, Tom’s team have turned the whole problem on its head and developed a solution that doesn’t rely on packets of data, but instead takes all your existing customer data and tells you where you should target your sales for growth.
Frankly it’s awesome, and if you work in business development and listen to this show, you’ll have bragging rights for months, in any discussion about where we go after cookies have been outlawed.
Tom delivers a tight 45 minutes of non-sciency data discussion to explain how your agency can stay ahead of the pack and give your client a best-of-breed solution.
In this show, we discuss:
1st, 2nd & 3rd party data advantages
The timeline for the end of cookies
The alternatives to cookies and why surveillance and intent marketing doesn’t work
The democratization of customer data
Big data -v- little data
Why it’s important to be ahead of the curve
Where to look for your next new clients and customers
Plus talking of giving up cookies, Jeremy Davies is back with a monologue about agency new year resolutions.
Tom’s LinkedIn profile here: https://www.linkedin.com/in/tomridges/
GDLabs web site here: http://www.gdlabs.ai
The ‘Data For Bluffers’ podcast here: https://www.gdlabs.ai/blog/data-for-bluffers-3/
FREE TEST your data to see how it works here: https://www.gdlabs.ai/blog/test-your-data-and-grow-faster-with-network-effects/
How NBC Universal is handling it: https://www.adweek.com/convergent-tv/nbcuniversal-cookie-free-first-party-identity-platform/
Podcast: Play in new window | Download (Duration: 1:03:50 — 87.7MB)
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