“The best data is from all the people who leave, right?” Today, Alex (@AlexHormozi) discusses the importance of analyzing data from lost customers to identify traits of good and bad customers, setting proper expectations to avoid customer disappointment, and focusing on high-lifetime value customers. He also shares insights on how to amplify value and build trust with prospects through expectation management.Welcome to The Game w/Alex Hormozi, hosted by entrepreneur, founder, investor, author, public speaker, and content creator Alex Hormozi. On this podcast you’ll hear how to get more customers, make more profit per customer, how to keep them longer, and the many failures and lessons Alex has learned on his path from $100M to $1B in net worth.Timestamps:(2:04) - Score leads by value-based characteristics and behaviors.(6:08) - Qualify customers to cut inflow and reduce escalations.(10:28) - Analyze data from lost customers to identify traits of good/bad customers.(12:32) - Overdeliver value by demonstrating necessary skills for using your service.(14:07) - Sell towards behavior, sustainability, and long-term change instead of hot selling.(16:08) - Set proper expectations to avoid customer disappointment.Follow Alex Hormozi’s Socials:LinkedIn | Instagram | Facebook | YouTube | Twitter | AcquisitionMentioned in this episode:Get access to the free $100M Scaling Roadmap at www.acquisition.com/roadmap

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“What did the council decide on item 42?” — answered with the speaker and the moment.