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เนื้อหาจัดทำโดย Jeff เนื้อหาพอดแคสต์ทั้งหมด รวมถึงตอน กราฟิก และคำอธิบายพอดแคสต์ได้รับการอัปโหลดและจัดหาให้โดยตรงจาก Jeff หรือพันธมิตรแพลตฟอร์มพอดแคสต์ของพวกเขา หากคุณเชื่อว่ามีบุคคลอื่นใช้งานที่มีลิขสิทธิ์ของคุณโดยไม่ได้รับอนุญาต คุณสามารถปฏิบัติตามขั้นตอนที่แสดงไว้ที่นี่ https://th.player.fm/legal
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When a young Eva Kollisch arrives as a refugee in New York in 1940, she finds a community among socialists who share her values and idealism. She soon discovers ‘the cause’ isn’t as idyllic as it seems. Little does she know this is the beginning of a lifelong commitment to activism and her determination to create radical change in ways that include belonging, love and one's full self. In addition to Eva Kollisch’s memoirs Girl in Movement (2000) and The Ground Under My Feet (2014), LBI’s collections include an oral history interview with Eva conducted in 2014 and the papers of Eva’s mother, poet Margarete Kolllisch, which document Eva’s childhood experience on the Kindertransport. Learn more at www.lbi.org/kollisch . Exile is a production of the Leo Baeck Institute , New York | Berlin and Antica Productions . It’s narrated by Mandy Patinkin. Executive Producers include Katrina Onstad, Stuart Coxe, and Bernie Blum. Senior Producer is Debbie Pacheco. Associate Producers are Hailey Choi and Emily Morantz. Research and translation by Isabella Kempf. Sound design and audio mix by Philip Wilson, with help from Cameron McIver. Theme music by Oliver Wickham. Voice acting by Natalia Bushnik. Special thanks to the Kollisch family for the use of Eva’s two memoirs, “Girl in Movement” and “The Ground Under My Feet”, the Sophia Smith Collection at Smith College and their “Voices of Feminism Oral History Project”, and Soundtrack New York.…
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Manage episode 190274722 series 1526088
เนื้อหาจัดทำโดย Jeff เนื้อหาพอดแคสต์ทั้งหมด รวมถึงตอน กราฟิก และคำอธิบายพอดแคสต์ได้รับการอัปโหลดและจัดหาให้โดยตรงจาก Jeff หรือพันธมิตรแพลตฟอร์มพอดแคสต์ของพวกเขา หากคุณเชื่อว่ามีบุคคลอื่นใช้งานที่มีลิขสิทธิ์ของคุณโดยไม่ได้รับอนุญาต คุณสามารถปฏิบัติตามขั้นตอนที่แสดงไว้ที่นี่ https://th.player.fm/legal
Businesses rely on distribution to sell through. Product recommender system gives insight to consumer buying pattern. Its a big leverage to sell other products by finding consumer interest.
…
continue reading
111 ตอน
Manage episode 190274722 series 1526088
เนื้อหาจัดทำโดย Jeff เนื้อหาพอดแคสต์ทั้งหมด รวมถึงตอน กราฟิก และคำอธิบายพอดแคสต์ได้รับการอัปโหลดและจัดหาให้โดยตรงจาก Jeff หรือพันธมิตรแพลตฟอร์มพอดแคสต์ของพวกเขา หากคุณเชื่อว่ามีบุคคลอื่นใช้งานที่มีลิขสิทธิ์ของคุณโดยไม่ได้รับอนุญาต คุณสามารถปฏิบัติตามขั้นตอนที่แสดงไว้ที่นี่ https://th.player.fm/legal
Businesses rely on distribution to sell through. Product recommender system gives insight to consumer buying pattern. Its a big leverage to sell other products by finding consumer interest.
…
continue reading
111 ตอน
ทุกตอน
×This is a new series on Consumerism and technology. Amazon Go stores are open now which shows a staggering feat of technology. Understanding consumer pain points is key to acquiring customers. Till now companies used search results and text to model consumer behavior pattern. Now recognizing patterns in video is easier and gives more insight to buying preference. Thanks Listening.…
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Future Of Consumer Marketing

Marketing space is changing with the advent of voice and AI. Placing an ad on Facebook or on social media isn't enough. Its about finding patterns in your data and what your consumer prefers.
Consumers are looking for better option and leave lot of information that businesses aren't picking up when they shop around.
Consumers react to pricing and other variables in the economy. By gauging those changes their behavior can be influenced to buy more products. With machine learning the advantage evaluating factors that can affect sale is a big win. Better analysis leads to better solution.
Pricing is a big variable in analyzing consumer demand. Factors that needs to be considered are Fuel prices, basket of 150 products that are used by the consumer on a monthly basis, inflation, CPI, Unemployment, new movie, holiday season, insurance renewals, healthcare, etc. These variables stifle capital that could have been spend in ecommerce or your product. Demand is predicated on these variables as well.…
Voice platform is pretty new and has the potential of android market. World is moving from text based engine to a voice based.
Amazon recently introduced subscription for alexa skills. That signifies a big volume of customers using the platform. Apparently amazon owns 70% of market share in voice space through strategic partnership, Acquisition and open sourcing. They acquired customers through every move.
Ecommerce sites could recommend products of search results most clicked or add to cart product to consumer thereby enhancing sales. Finding what the consumer wants is the game.
How search results are arranged and position of the products matter. They can arranged based on best seller and most click. Positioning of products in website. Ranking product based on how often consumer react to search
Having a great offer and pricing influences customers but lack of capital stifles them. The way around for retail, Grocery and ecommerce store is to have a strategic partnership with credit card companies to give cashback and offers on credit cards so it entices the customers to use it today to grab the advantage and pay back later.…
Consumer react to every offer, discount and pricing differently. So analyzing their behavior helps to evaluate sales and identify new preference of the consumer to recommend product that will bring value to consumer.
Demand is dependent how consumers react to different variables that affect them daily from Fuel prices, pricing of basket of products that are purchased weekly like Grocery and food, unemployment, CPI, availability of capital - Credit card offers and cashback.
Subscription model to discover food taste by sending 5 to 10 curated food products. Recognizing pattern by which consumers react with machine learning models to curate food and identify taste buds & change in taste over a period of time. This opens up platform to recommend restaurants that might have similar taste or complimentary one.…
By taking point of sale data and factor that influence customers like fuel price, CPI, unemployment, climate, promotion, depth of discount, pricing etc we evaluate demand and inventory requirement with higher accuracy for perishable products that has a shorter shelf life. Overstocking will not work here, so good model to evaluate metrics is needed. Machine learning has a great solution…
Consumer behavior analysis enhances sales for ecommerce environment. Trying different variables helps in finding consumer behaviors.
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