The Consumer's Hierarchy of Preferences: The Other Side of the Consumer Value Prop

The Consumer's Hierarchy of Preferences: The Other Side of the Consumer Value Prop

As consumers, we often purchase items that fulfill a specific need but don't necessarily bring us joy. These items meet enough of our preferences on the Consumer's Hierarchy of Preferences to convince us to make a purchase, but they fail to address all of our desires. On the other hand, when a consumer is truly satisfied with a purchase and sings praises about the company or product, it means that their preferences have been exceeded. In these cases, a consumer surplus is created.

Consumer surplus refers to the additional value that a company provides to consumers beyond what they paid for. It is a measure of customer satisfaction and loyalty. Great companies understand the importance of creating consumer surplus, while most companies fail to do so. One example of a company that excels at creating consumer surplus is Costco. Despite being questioned by investment analysts about the possibility of raising prices to double their profit margin, Costco's CEO, Jim Sinegal, has consistently refused to do so. This is because increasing prices would erode the consumer surplus that Costco's value proposition creates.

Consumer surplus manifests itself in lower churn rates and higher customer lifetime value. By prioritizing customer satisfaction and offering competitive prices, Costco has built a strong customer base that remains loyal to the brand. While raising prices may lead to short-term increased profits, it would ultimately weaken Costco's position in the market and drive customers to seek alternatives.

Nick Sleep, an early investor in Costco, recognized the company's deliberate choice to prioritize customer satisfaction over high profit margins. He understood that the surplus value Costco shares with consumers contributes to the company's longevity and should be considered in its valuation. However, it's important to differentiate between intentional margin decisions and poor industry or business performance.

Another example of consumer surplus can be seen in companies like See's, a chocolate manufacturer. For many consumers, buying a box of See's chocolates is not just about the taste but also about the conveyance of care and love. This intangible aspect of "conveying care" is a crucial part of satisfying the Consumer's Hierarchy of Preferences, especially on occasions like Valentine's Day. Even if the price of a gift card from a significant other is high, many couples would not consider it a thoughtful gift because it lacks the emotional connection of a physical item.

Warren Buffett, in one of his speeches, emphasizes the difficulty of creating a product that evokes warm feelings when received. It's easy to produce a tasty, cheap box of chocolates, but it's much harder to create an emotional connection that resonates with the consumer. Similar to Costco, See's deliberately leaves pricing power untapped to ensure that their products continue to convey care and love.

Moving on to a different topic, let's explore the supply and demand dynamics of Nvidia's H100 GPUs. These high-end GPUs are in demand among startups that work on fine-tuning large open-source models. Companies using private clouds, such as CoreWeave and Lambda, rely heavily on H100 GPUs for their machine learning models. The H100 is favored for its speed, both in training and inference for large language models (LLMs).

The preference for H100 GPUs is due to their ability to scale with higher numbers of GPUs and provide faster training times. Startups, in particular, prioritize speed and compressing time to launch or improve their models. However, when it comes to inference, performance per dollar becomes the primary concern.

The H100 is preferred over the A100 because of factors like lower cache latencies and FP8 compute. When it comes to using AMD GPUs, there are challenges in terms of compatibility and time required for development. While theoretically, a company can buy AMD GPUs, the time it takes to get everything to work might put them at a disadvantage compared to competitors. This is why Nvidia's CUDA platform acts as a moat for the company, as it offers a seamless and well-established ecosystem.

In terms of pricing, the cost of H100 GPUs can vary depending on the configuration. For example, a DGX H100 with 8 H100 GPUs costs around $460k, including required support. Startups can benefit from the Inception discount, which offers a reduction of approximately $50k per box. The number of GPUs needed for training large models can range from thousands to tens of thousands.

The demand for H100 GPUs is significant, with companies like OpenAI, Inflection, Meta, and big cloud providers like Azure, Google Cloud, and AWS requiring tens of thousands of H100s. The total number of H100s needed could reach hundreds of thousands, amounting to billions of dollars worth of GPUs. It's important to note that these estimates exclude Chinese companies like ByteDance, Baidu, and Tencent, which are also expected to have high demands for H100 GPUs.

TSMC is the manufacturer of H100 GPUs, and the production process takes approximately six months from production to packaging and testing. The bottleneck in production lies in the packaging process, specifically CoWoS (3D stacking) packaging.

Nvidia allocates GPUs to customers based on their specific needs and the end customer they serve. The company prefers customers with strong brand names or startups with impressive pedigrees. They also consider the potential competition with their own products. The big cloud providers, such as Azure, Oracle, Lambda Labs, AWS, and Google Cloud, have all launched their H100 previews at different times.

In conclusion, understanding the Consumer's Hierarchy of Preferences is crucial for companies looking to create consumer surplus and build long-term customer loyalty. By prioritizing customer satisfaction over short-term profits, companies like Costco and See's have successfully created a strong consumer base. On the other hand, the demand for Nvidia's H100 GPUs highlights the importance of speed and performance in the field of machine learning. As technology continues to evolve, companies must adapt to meet the changing preferences and demands of consumers.

Actionable Advice:

1. Prioritize customer satisfaction: Instead of focusing solely on short-term profits, invest in creating a value proposition that exceeds consumer preferences and creates a consumer surplus.
2. Understand the needs of your target market: Analyze the preferences and demands of your target market to tailor your product or service accordingly. This will help you improve customer satisfaction and build long-term loyalty.
3. Stay ahead of the competition: Keep a close eye on emerging technologies and competitors to ensure you remain relevant in the market. Continuously innovate and adapt your offerings to meet the changing needs of consumers.