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Show Notes

[00:02:33] - [First question] - What Cardlytics does and their scale

[00:06:51] - What happens from a consumer perspective when using their service?

[00:08:14] - Numbers around the current scope of the business today

[00:08:40] - Comparing Cardlytics to Google and Facebook’s advertising models

[00:11:01] - History of the company and how they gained access to bank transaction data

[00:15:20] - Revenue splits, gross profits, and companies that have had success using them

[00:19:23] - Potential risk to the company if banks were to start offering this service in house

[00:23:02] - Possible parallels between Visa and Cardlytics as a transaction protocol for banks

[00:25:15] - Whether or not brand matters for them

[00:26:15] - Lessons learned about network effects and whether or not it applies

[00:30:24] - What opportunities excite him about improving the Cardlytics platform

[00:35:24] - The role that data and predictive algorithms could play in perfecting the user experience and business scale

[00:39:45] - Reasons Cardlytics could slip and reverse their progress or fail writ large

[00:44:17] - What one question he’d like to answer to improve the business

[00:46:38] - Lessons he’s learned about data privacy

[00:47:34] - What is impressive about Cardlytics through the lens of leaders and management

[00:50:39] - Whether or not his views on investing have changed in regards to the quality of management

[00:51:57] - What they would have to do and where they would have to spend to grow the business over the coming decade

[00:54:41] - Neobanks posing a potential threat to the tech stack they’ve build

[00:59:13] - Lessons for operators in building a business when studying Cardlytics’ story

[01:02:10] - Lessons for investors when studying Cardlytics’ story