"Companies like Apple and Google have a clean simple feed for themselves while everyone else is working with the scraps of the data. But what we're able to do with those scraps can be really powerful."

In this episode, Lyden Foust interviews Jack Schroder, Lead Data Scientist at Spatial.ai, to explore the intricacies of mobile location data. They discuss its definition, various use cases, the importance of customer segmentation, privacy concerns, and the sources of mobile data.

Chapters: 

(00:00) Introduction

(01:29) Understanding Mobile Location Data

(02:52) Use Cases of Mobile Data

(06:37) Customer Segmentation and Insights

(08:24) Privacy Concerns and Data Aggregation

(10:49) Limitations of Mobile Data

(15:06) Factors Affecting Data Accuracy

(20:35) Evaluating Mobile Data Providers

(26:03) Advice for Using Mobile Location Data

Follow Jack Schroder on: LinkedIn

Listen to Consumer Code on: ⁠Spotify⁠ | ⁠Apple⁠ | ⁠YouTube⁠

Follow Lyden Foust on: ⁠⁠LinkedIn⁠⁠ | ⁠⁠Instagram⁠

About Spatial.ai:

Spatial.ai’s PersonaLive is an advanced consumer segmentation platform for developing data-driven marketing strategies. PersonaLive categorizes U.S. households into 17 groups and 80 segments using consumer behavior data from transactions, mobile visits, and social media activity, providing marketers with deep insights for effective audience targeting. From mid-sized retailers and agencies to Fortune 500 companies, hundreds of businesses use PersonaLive to drive strategic decisions and enhance marketing performance. 

Learn more at ⁠spatial.ai⁠ or ⁠schedule a free 30-minute demo⁠.