{"podcast":{"title":"Consumer Code","slug":"consumer-code-7115736","podcast_index_feed_id":7115736,"rss_url":"https://anchor.fm/s/fb755f98/podcast/rss","website_url":"https://spatial.ai","image_url":"https://d3t3ozftmdmh3i.cloudfront.net/staging/podcast_uploaded_nologo/42087734/42087734-1727204733378-8c0681de7d0c3.jpg","author":"Spatial.ai","episode_count":27,"summary":"The Consumer Code podcast explores the world of retail through the lens of ethnography, cartography, demography, and the economy. On each episode, Lyden Foust, CEO of Spatial.ai, interviews industry leaders about the economic and cultural trends shaping the consumer landscape today.","last_synced_at":null,"page_url":"https://stenobird.com/podcast/consumer-code-7115736"},"episode":{"title":"Real Estate Strategy and the Story of Tango Analytics (ft. Jack Thompson)","slug":"real-estate-strategy-and-the-story-of-tango-analytics-ft-jack-thompson","published_at":"2025-06-30T17:42:22+00:00","page_url":"https://stenobird.com/podcast/consumer-code-7115736/real-estate-strategy-and-the-story-of-tango-analytics-ft-jack-thompson","show_page_url":"https://stenobird.com/podcast/consumer-code-7115736","url":"https://podcasters.spotify.com/pod/show/consumercode/episodes/Real-Estate-Strategy-and-the-Story-of-Tango-Analytics-ft--Jack-Thompson-e34qmr2","audio_url":"https://anchor.fm/s/fb755f98/podcast/play/104732962/https%3A%2F%2Fd3ctxlq1ktw2nl.cloudfront.net%2Fstaging%2F2025-5-27%2F402929715-44100-2-4c2cc80ea4c82.mp3","summary":"In this conversation, Jack Thompson, former CEO of Tango Analytics, shares his unique journey from a developer's background to becoming a leader in retail analytics. He discusses the importance of understanding the retail ecosystem, the transition to analytics, and the innovative methodologies he developed, such as the 18-point survey for site selection. Jack emphasizes the significance of collaboration between operations and real estate, enhancing predictive models through teamwork, and the challenges of working with private equity-backed retailers. He also provides insights into geodemographics and consumer behavior, offering valuable advice for today's retail leaders. Chapters: (00:00) Intro (03:34) Early Influences and the Shift to Analytics (06:17) Site Selection For Taco Bell (09:03) Market Planning Algorithm For Boston Market (14:48) The Tension Between Marketing and Real Estate (16:59) Building Predictive Models for McDonald's (23:18) Better Decisions Through Collaboration (29:22) Consumer-Centric Thinking in Marketing (30:43) Transitioning to Management Consulting (35:22) Founding Tango: A New Era in Analytics (41:17) Building Tango's Unique Software Solution (47:20) PE Vs Privately Owned Retail (50:45) Site Selection: Avoiding Blunders (55:30) Advice for Modern Retail Real Estate Leaders Learn more about Jack Thompson 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…","meta_description":"In this conversation, Jack Thompson, former CEO of Tango Analytics, shares his unique journey from a developer's background to becoming a leader in retail…","key_points":[],"chapters":[],"topics":[],"duration_seconds":3567,"processing_state":"not_requested","actions":[{"name":"request_transcript","method":"POST","url":"https://stenobird.com/v1/public/podcasts/consumer-code-7115736/episodes/real-estate-strategy-and-the-story-of-tango-analytics-ft-jack-thompson/transcription-requests","description":"Idempotently request low-priority transcript generation for this episode."},{"name":"read_markdown","method":"GET","url":"https://stenobird.com/podcast/consumer-code-7115736/real-estate-strategy-and-the-story-of-tango-analytics-ft-jack-thompson.md","description":"Read the agent-friendly Markdown representation of this episode resource."}]}}