516: Netflix with ads: Is it a good strategy? (with Amanda Lotz)

516: Netflix with ads: Is it a good strategy? (with Amanda Lotz)

Welcome to an episode with a professor at Queensland University of Technology, Amanda Lotz.

In this episode, Amanda shares her insights as a media expert about Netflix's recent announcement that they are introducing an ad-supported version of their streaming service. She spoke about the challenges that Netflix may face as it goes down the advertising route. Amanda discussed the pros and cons of a subscription-based model versus an advertisement-based model and what it will be for Netflix as it launches its new strategy.

Amanda Lotz is a media scholar, professor, and industry consultant. Her expertise includes media industries, digital distribution, the future of television, the business of media, and net neutrality.

Amanda leads the Transforming Media Industries research project in the Digital Media Research Centre at Queensland University of Technology. She is the author, coauthor, or editor of eleven books that explore television and media industries, including Netflix and Streaming Video: The Business of Subscriber-Funded Video on Demand, Media Disrupted: Surviving Cannibals, Pirates and Streaming Wars, We Now Disrupt This Broadcast: How Cable Transformed Television and the Internet Revolutionized It All, The Television Will Be Revolutionized, and Portals: A Treatise on Internet-Distributed Television.

Her most recent books explore the connections between internet-distributed services such as Netflix and the legacy television industry, as well as the business strategies and revenue models that differ. Her award-winning book, The Television Will Be Revolutionized, now in its second edition, has been translated into Mandarin, Korean, Italian, and Polish. She is frequently interviewed by NPR's Marketplace, has appeared on BBC, CNN's The Nineties, HuffPost Live, and ZDF (German television network), and has been interviewed for articles in the Los Angeles Times, The Guardian, The Atlantic, Christian Science Monitor, the Associated Press, Wired, and Men's Health among many others. She publishes articles about the business of television at Quartz, Salon, The New Republic, hosts the Media Business Matters podcast, and tweets about television and media @DrTVLotz.

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113: Four Classic Math Mistakes In Cases

113: Four Classic Math Mistakes In Cases

Candidates mess up calculations for 4 primary reasons: missing units, complicated equations, weak visual layout and poor technique. Notice that we ignore speed and arithmetic. There is a reason for that and it is discussed in the podcast. The most surprising one of the lot is missing units. We have trained PhDs who graduated first in their schools and many tend to drop units thereby producing meaningless answers. These are all simple mistakes but the impact is substantial.

12 Tammi 20138min

112: Why You Need Case Interview Structures

112: Why You Need Case Interview Structures

Despite the words "framework" and "structure" used so often, most candidates cannot explain what it is and why it is used. Unless you know the latter, you tend to misuse the framework and incorrectly use it in a case. This podcast presents the need for case structures from the viewpoint of the interviewer or engagement partner. It indicates that case structures are not there merely to guide you, but to guide the person guiding you. And if you extend this to its logical conclusion, if the framework is their to guide the interviewer, then communicating your structure and thinking becomes very important.

6 Tammi 201311min

111: Drowning in Case Feedback

111: Drowning in Case Feedback

We find many candidates drown in feedback. They want as much good feedback as possible and speak to as many people as possible thereby receiving lots of detailed and sometimes average feedback on their performance. There are two problems here. First, much of this feedback will likely be contradictory and possibly misleading. Second, the candidate will literally drown in this feedback usually consisting of a 2-page list of improvement areas. We expect our candidates to always prioritize the top 3 issues and tackle them, as explained in this podcast. It is vital to follow this 80/20 principle and ignore the majority which will be of little value overall.

31 Joulu 20128min

110: Disclosure Rules on Resumes

110: Disclosure Rules on Resumes

Candidates sometimes divulge too much confidential details, or too little in interviews, resumes, cover letters and LinkedIn profiles. These are the rules for disclosure. It is important to remember that disclosing confidential information merely indicates to McKinsey that you cannot be trusted with their own client information. Moreover, disclosing information on your resume and hiding it from your LinkedIn merely means you are aware of the ethical breach you are making. It is important to avoid these problems at all costs. From the beginning, be the person that is worthy of a consulting firm.

25 Joulu 20127min

109: Build Hypotheses With Decision Trees

109: Build Hypotheses With Decision Trees

Building hypotheses is very difficult. Most candidates in a McKinsey, BCG et al interview would not know when to build the hypothesis, what comprises the hypothesis, how to test if it is MECE etc. This simple technique is one way to build hypotheses and used on real consulting engagements. It was developed to help candidates prioritize their analyzes and ensure the hypotheses are MECE. When practicing this technique note that the development of the decision tree must be done quickly and cleanly.

19 Joulu 20129min

108: Speed is the Wrong Focus Area

108: Speed is the Wrong Focus Area

Far too many candidates focus on being faster. That is another myth. Speed is an outcome of having good technique. So if you are slow, deconstruct your technique, analyze weaknesses and develop a new way to solve arithmetic. That is key. Unless your technique improves aka "your process to solve math," you will never improve. We explain how in this podcast. Moreover, if an interviewer or practice partner indicates you are slow, think carefully if your technique can be improved, versus merely trying to speak faster. Note, there are many different techniques to solve arithmetic problems so do not search for the "best" technique. Find one that works for you..

13 Joulu 20128min

107: Demand Side Estimation Myth

107: Demand Side Estimation Myth

The myth of demand side estimation cases is the greatest mistake taught in case books worldwide and is probably the worst technique a candidate should be using. Candidates around the world are taught that all estimation cases are market sizing cases and all market sizing cases must be done from the demand side. The problem is that not all estimation cases are market sizing cases and not all market sizing cases should be done from the demand side. Fortunately, it is easy to fix

7 Joulu 20129min

106: Invisible Presentation Technique

106: Invisible Presentation Technique

Solving a case while talking an interviewer through your thinking (written or otherwise) is, for the interviewer, a little like trying to understand a presentation without seeing the slides. Or at the very least seeing untidy slides – that is, assuming your working sheets are messy. Here we talk through the anatomy of a case dialogue pointing out key mistakes candidates make and a very simple technique they can use when communicating in case interviews.

1 Joulu 201212min

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