Really enjoyed my conversation with Matt Newberg on the HNGRY podcast. We dove into why we founded Bikky, why there's so much potential for restaurants to tap into their customer data, actionable ways to use that data, and the age old third-party vs. first-party debate. Restaurants raised prices aggressively over the past two years to stay ahead of inflation, and for the first time in a while consumers are questioning the value equation for their favorite brands. We're seeing softness in traffic across the category - with even leaders like CAVA (who still had blowout earnings) showing a slight decline. The winners in this cycle will be those that know what levers to pull to drive incremental traffic, frequency, and sales. I want to thank Matt for allowing me to talk about how we're doing that at Bikky. He's one of the most insightful folks covering the space, and holds the record for number of articles I forward when folks ask me what's top of mind in the industry. Here's the link the episode. I hope you enjoy listening to our conversation as much as I enjoyed being part of it: https://lnkd.in/e4yHTYeu
Interview with Matt Newberg on Bikky
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Break down brand silos and unlock valuable customer insights with first-party data sharing on TARTLE! 🚀 Tune in to the latest TCAST podcast to learn how consumers are taking control of their data and empowering brands to connect on a deeper level. #firstpartydata #datasharing #brandsilos #customerinsights #TARTLE #TCAST
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Break down brand silos and unlock valuable customer insights with first-party data sharing on TARTLE! 🚀 Tune in to the latest TCAST podcast to learn how consumers are taking control of their data and empowering brands to connect on a deeper level. #firstpartydata #datasharing #brandsilos #customerinsights #TARTLE #TCAST
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Break down brand silos and unlock valuable customer insights with first-party data sharing on TARTLE! 🚀 Tune in to the latest TCAST podcast to learn how consumers are taking control of their data and empowering brands to connect on a deeper level. #firstpartydata #datasharing #brandsilos #customerinsights #TARTLE #TCAST
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Break down brand silos and unlock valuable customer insights with first-party data sharing on TARTLE! 🚀 Tune in to the latest TCAST podcast to learn how consumers are taking control of their data and empowering brands to connect on a deeper level. #firstpartydata #datasharing #brandsilos #customerinsights #TARTLE #TCAST
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Break down brand silos and unlock valuable customer insights with first-party data sharing on TARTLE! 🚀 Tune in to the latest TCAST podcast to learn how consumers are taking control of their data and empowering brands to connect on a deeper level. #firstpartydata #datasharing #brandsilos #customerinsights #TARTLE #TCAST
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Break down brand silos and unlock valuable customer insights with first-party data sharing on TARTLE! 🚀 Tune in to the latest TCAST podcast to learn how consumers are taking control of their data and empowering brands to connect on a deeper level. #firstpartydata #datasharing #brandsilos #customerinsights #TARTLE #TCAST
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I enjoyed this chat with Rob Markey, on the heels of some work that Theta did with Bain & Company in the restaurant food delivery category. We covered a lot of ground. A few of the takeaways: --Competitive analysis using credit/debit card data can be very powerful and valuable in answering the "are these CLV-related figures good?" question. --Also good for ensuring a comparable analysis across firms, because it gives you comparable data across firms. Valuable for the companies themselves, and for prospective investors in them. [ More on the collaboration with Bain here: https://lnkd.in/efMY2U96 ] --These datasets also yield a lot of insight into share-of-wallet effects. Companies should understand their SOW with their customers, and what that implies for the health of their business. We discuss my recent paper on this: https://lnkd.in/ey7eJcNw --Basic "buy til you die" CLV modeling is good but can get very tripped up by seasonal, non-seasonal, and cross-cohort differences. You will predict worse, and you will lose insights into customer base dynamics. More on this here: https://lnkd.in/e-3HANEB If you want to see how these numbers might look for you or a company you are considering, reach out. Enjoy!
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🚨 New Podcast Episode Alert! 🚨 We’re excited to share the latest episode of Bain & Company’s Customer Confidential podcast: "Hungry for Loyalty: How Food Delivery Apps Can Retain Customers", hosted by Rob Markey. In this episode, Rob chats with Daniel McCarthy about how food delivery apps can use data to drive growth and customer loyalty. Key takeaways: - Customer Lifetime Value (CLV): Insights from DoorDash, Uber Eats, and GrubHub data on customer retention and loyalty. - Predictive models: How data can forecast customer behavior and boost long-term revenue. - Market trends: Impact of subscription services and economic shifts on customer spending. 🎙 Tune in now!: https://lnkd.in/e_7SkzGv Want to get access to data for an outside-in CLV analysis? Reach out to Pyxis at Pyxis.Global@Bain.Com for inquiries! About the speakers: - Rob Markey: Rob is a Bain Partner, founder of Bain’s Customer Strategy & Marketing Practice, and Senior Lecturer at Harvard Business School - Dan McCarthy: Dan is the Director and Co-Founder of Theta and Associate Professor of Marketing at the University of Maryland's Robert H. Smith School of Business #CLV #Podcast #CustomerConfidential #AtBain
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