《亚马逊二十年—贝索斯的公开信》

落日映苍穹つ 2022-12-28 06:29 22阅读 0赞

从1997年DAY1、到2016年DAY2，贝索斯大哥认真严肃的做了二波思考。很值得反复研究。花了半天时间收集整体，可关注微信公众号“**软件真理与光**”，回复“**亚马逊**”关键词获取《AMAZON公开信(1997-2018)》最全资料。

# 1997年 DAY1—关于亚马逊的长期主义 #

Amazon.com passed many milestones in 1997: by year-end, we had served more than 1.5 million customers, yielding 838% revenue growth to $147.8 million, and extended our market leadership despite aggressive competitive entry.

But this is Day 1 for the Internet and, if we execute well, for Amazon.com. Today, online commerce saves customers money and precious time. Tomorrow, through personalization, online commerce will accelerate the very process of discovery. Amazon.com uses the Internet to create real value for its customers and, by doing so, hopes to create an enduring franchise, even in established and large markets.

**It's All About the Long Term**

We believe that a fundamental measure of our success will be the shareholder value we create over the long term. This value will be a direct result of our ability to extend and solidify our current market leadership position. **The stronger our market leadership, the more powerful our economic model. Market leadership can translate directly to higher revenue, higher profitability, greater capital velocity, and correspondingly stronger returns on invested capital.**

Our decisions have consistently reflected this focus. We first measure ourselves in terms of the metrics most indicative of our market leadership: customer and revenue growth, the degree to which our customers continue to purchase from us on a repeat basis, and the strength of our brand. We have invested and will continue to invest aggressively to expand and leverage our customer base, brand, and infrastructure as we move to establish an enduring franchise.

# 1998年 建立文化—以客户为中心 & WHM #

**1) Our Customers**

We intend to build the world’s most customer-centric company. We hold as axiomatic that customers are perceptive and smart, and that brand image follows reality and not the other way around. Our customers tell us that they choose Amazon.com and tell their friends about us because of the selection, ease-of-use, low prices, and service that we deliver.

**2) Work Hard, Have Fun, Make History**

It would be impossible to produce results in an environment as dynamic as the Internet without extraordinary people. Working to create a little bit of history isn’t supposed to be easy, and, well, we’re finding that things are as they’re supposed to be! We now have a team of 2,100 smart, hard-working, passionate folks who put customers first. Setting the bar high in our approach to hiring has been, and will continue to be, the single most important element of Amazon.com’s success.

During our hiring meetings, we ask people to consider three questions before making a decision:

*  Will you admire this person? If you think about the people you’ve admired in your life, they are probably people you’ve been able to learn from or take an example from. For myself, I’ve always tried hard to work only with people I admire, and I encourage folks here to be just as demanding. Life is definitely too short to do otherwise.
 *  Will this person raise the average level of effectiveness of the group they’re entering? We want to fight entropy. The bar has to continuously go up. I ask people to visualize the company 5 years from now. At that point, each of us should look around and say, “The standards are so high now -- boy, I’m glad I got in when I did!”
 *  Along what dimension might this person be a superstar? Many people have unique skills, interests, and perspectives that enrich the work environment for all of us. It’s often something that’s not even related to their jobs. One person here is a National Spelling Bee champion (1978, I believe). I suspect it doesn’t help her in her everyday work, but it does make working here more fun if you can occasionally snag her in the hall with a quick challenge: “onomatopoeia!”

# 1999年 重复前两年的话—以客户为中心、长期主义 #

Our vision is to use this platform to build Earth’s most customer-centric company, a place where customers can come to find and discover anything and everything they might want to buy online.

# 2000年 第一战略—增长用户数 #

Future: Real Estate Doesn’t Obey Moore’s Law.

Let’s move to the future. Why should you be optimistic about the future of e-commerce and the future of Amazon.com?

Industry growth and new customer adoption will be driven over the coming years by relentless improvements in the customer experience of online shopping. These improvements in customer experience will be driven by innovations made possible by dramatic increases in available bandwidth, disk space, and processing power, all of which are getting cheap fast.

While there are no foregone conclusions, and we still have much to prove, Amazon.com today is a unique asset. We have the brand, the customer relationships, the technology, the fulfillment infrastructure, the financial strength, the people, and the determination to extend our leadership in this infant industry and to build an important and lasting company. And we will do so by keeping the customer first.

# 2001年 增长飞轮—现金流的安全及未来盘子有多大 #

**An investment framework**

In every annual letter (including this one), we attach a copy of our original 1997 letter to shareholders to help investors decide if Amazon.com is the right kind of investment for them, and to help us determine if we have remained true to our original goals and values. I think we have.

In that 1997 letter, we wrote, “**When forced to choose between optimizing the appearance of our GAAP accounting and maximizing the present value of future cash flows, we’ll take the cash flows**.”

Why focus on cash flows? Because a share of stock is a share of a company's future cash flows, and, as a result, cash flows more than any other single variable seem to do the best job of explaining a company's stock price over the long term.

If you could know for certain just two things-**-a company’s future cash flows and its future number of shares outstanding**\--you would have an excellent idea of the fair value of a share of that company’s stock today. (You’d also need to know appropriate discount rates, but if you knew the future cash flows for certain, it would also be reasonably easy to know which discount rates to use.) It’s not easy, but you can make an informed forecast of future cash flows by examining a company’s performance in the past and by looking at factors such as the leverage points and scalability in that company’s model. Estimating the number of shares outstanding in the future requires you to forecast items such as option grants to employees or other potential capital transactions. Ultimately, your determination of cash flow per share will be a strong indicator of the price you might be willing to pay for a share of ownership in any company.

Since we expect to keep our fixed costs largely fixed, even at significantly higher unit volumes, we believe Amazon.com is poised over the coming years to generate meaningful, sustained, free cash flow. Our goal for 2002 reflects just that. As we said in January when we reported our fourth quarter results, we plan this year to generate positive operating cash flow, leading to free cash flow (the difference between the two is up to $75 million of planned capital expenditures). Our trailing twelve-month pro forma net income should, roughly but not perfectly, trend like trailing twelve-month cash flow.

Limiting share count means more cash flow per share and more long-term value for owners. Our current objective is to target net dilution from employee stock options (grants net of cancellations) to an average of 3% per year over the next five years, although in any given year it might be higher or lower.

# 2002年 偷懒、只提了指标 #

只回答了一个问题：

Traditional stores face a time-tested tradeoff between offering high-touch customer experience on the one hand and the lowest possible prices on the other. How can Amazon.com be trying to do both?

The answer is that we transform much of customer experience—such as unmatched selection, extensive product information, personalized recommendations, and other new software features—into largely a fixed expense. With customer experience costs largely fixed (more like a publishing model than a retailing model), our costs as a percentage of sales can shrink rapidly as we grow our business. Moreover, customer experience costs that remain variable—such as the variable portion of fulfillment costs—improve in our model as we reduce defects. Eliminating defects improves costs and leads to better customer experience.

We believe our ability to lower prices and simultaneously drive customer experience is a big deal, and this past year offers evidence that the strategy is working.

# 2003年 重复讲话—以客户为中心 #

As we design our customer experience, we do so with long-term owners in mind. We try to make all of our customer experience decisions—big and small—in that framework.

For instance, shortly after launching Amazon.com in 1995, we empowered customers to review products. While now a routine Amazon.com practice, at the time we received complaints from a few vendors, basically wondering if we understood our business: “You make money when you sell things—why would you allow negative reviews on your website?” Speaking as a focus group of one, I know I’ve sometimes changed my mind before making purchases on Amazon.com as a result of negative or lukewarm customer reviews. Though negative reviews cost us some sales in the short term, helping customers make better purchase decisions ultimately pays off for the company.

# 2004年 重复讲话—现金流 #

Our Most Important Financial Measure: Free Cash Flow Per Share

Amazon.com’s financial focus is on long-term growth in free cash flow per share.

Amazon.com’s free cash flow is driven primarily by increasing operating profit dollars and efficiently managing both working capital and capital expenditures. We work to increase operating profit by focusing on improving all aspects of the customer experience to grow sales and by maintaining a lean cost structure.

# 2005年 科学决策—大数据分析 #

Many of the important decisions we make at Amazon.com can be made with data. There is a right answer or a wrong answer, a better answer or a worse answer, and math tells us which is which. These are our favorite kinds of decisions.As you would expect, however, not all of our important decisions can be made in this enviable, **math-based way**. Sometimes we have little or no historical data to guide us and proactive experimentation is impossible, impractical, or tantamount to a decision to proceed. Though data, analysis, and math play a role, the prime ingredient in these decisions is judgment.1

Opening a new fulfillment center is an example. We use history from our existing fulfillment network to estimate seasonal peaks and to model alternatives for new capacity. We look at anticipated product mix, including product dimensions and weight, to decide how much space we need and whether we need a facility for smaller “sortable” items or for larger items that usually ship alone. To shorten delivery times and reduce outbound transportation costs, we analyze prospective locations based on proximity to customers, transportation hubs, and existing facilities. Quantitative analysis improves the customer’s experience and our cost structure.

# 2006年 重复讲话—以客户为中心 #

Our established businesses are well-rooted young trees. They are growing, enjoy high returns on capital, and operate in very large market segments. These characteristics set a high bar for any new business we would start. Before we invest our shareholders’ money in a new business, we must convince ourselves that the new opportunity can generate the returns on capital our investors expected when they invested in Amazon. And we must convince ourselves that the new business can grow to a scale where it can be significant in the context of our overall company.

Furthermore, we must believe that the opportunity is currently underserved and that we have the capabilities needed to bring strong customer-facing differentiation to the marketplace. Without that, it’s unlikely we’d get to scale in that new business.

In our experience, if a new business enjoys runaway success, it can only begin to be meaningful to the overall company economics in something like three to seven years.

# 2007年 偷懒、只提了新机会、kindle #

We humans co-evolve with our tools. We change our tools, and then our tools change us. Writing, invented thousands of years ago, is a grand whopper of a tool, and I have no doubt that it changed us dramatically. Five hundred years ago, Gutenberg’s invention led to a significant step-change in the cost of books. Physical books ushered in a new way of collaborating and learning.

# 2008年 重复讲话—长期主义、kindle #

In this turbulent global economy, our fundamental approach remains the same. Stay heads down, focused on the long term and obsessed over customers. Long-term thinking levers our existing abilities and lets us do new things we couldn’t otherwise contemplate. It supports the failure and iteration required for invention, and it frees us to pioneer in unexplored spaces. Seek instant gratification – or the elusive promise of it – and chances are you’ll find a crowd there ahead of you. Long-term orientation interacts well with customer obsession. If we can identify a customer need and if we can further develop conviction that that need is meaningful and durable, our approach permits us to work patiently for multiple years to deliver a solution. “Working backwards” from customer needs can be contrasted with a “skills-forward” approach where existing skills and competencies are used to drive business opportunities. The skills-forward approach says, “We are really good at X. What else can we do with X?” That’s a useful and rewarding business approach. However, if used exclusively, the company employing it will never be driven to develop fresh skills. Eventually the existing skills will become outmoded. Working backwards from customer needs often demands that we acquire new competencies and exercise new muscles, never mind how uncomfortable and awkward-feeling those first steps might be.

# 2009年 偷懒、只提了指标 #

*  Net sales increased 28% year-over-year to $24.51 billion in 2009. This is 15 times higher than net sales 10 years ago when they were $1.64 billion in 1999.
 *  Free cash flow increased 114% year-over-year to $2.92 billion in 2009.

# 2010年 重点讲技术—是基石 #

Random forests, naïve Bayesian estimators, RESTful services, gossip protocols, eventual consistency, data sharding, anti-entropy, Byzantine quorum, erasure coding, vector clocks ... walk into certain Amazon meetings, and you may momentarily think you’ve stumbled into a computer science lecture.

Look inside a current textbook on software architecture, and you’ll find few patterns that we don’t apply at Amazon. We use high-performance transactions systems, complex rendering and object caching, workflow and queuing systems, business intelligence and data analytics, machine learning and pattern recognition, neural networks and probabilistic decision making, and a wide variety of other techniques. And while many of our systems are based on the latest in computer science research, this often hasn’t been sufficient: our architects and engineers have had to advance research in directions that no academic had yet taken. Many of the problems we face have no textbook solutions, and so we -- happily -- invent new approaches.

Our technologies are almost exclusively implemented as services: bits of logic that encapsulate the data they operate on and provide hardened interfaces as the only way to access their functionality. This approach reduces side effects and allows services to evolve at their own pace without impacting the other components of the overall system. Service-oriented architecture -- or SOA -- is the fundamental building abstraction for Amazon technologies. Thanks to a thoughtful and far-sighted team of engineers and architects, this approach was applied at Amazon long before SOA became a buzzword in the industry. Our e-commerce platform is composed of a federation of hundreds of software services that work in concert to deliver functionality ranging from recommendations to order fulfillment to inventory tracking. For example, to construct a product detail page for a customer visiting Amazon.com, our software calls on between 200 and 300 services to present a highly personalized experience for that customer.

State management is the heart of any system that needs to grow to very large size. Many years ago, Amazon’s requirements reached a point where many of our systems could no longer be served by any commercial solution: our key data services store many petabytes of data and handle millions of requests per second. To meet these demanding and unusual requirements, we’ve developed several alternative, purpose-built persistence solutions, including our own key-value store and single table store. To do so, we’ve leaned heavily on the core principles from the distributed systems and database research communities and invented from there. The storage systems we’ve pioneered demonstrate extreme scalability while maintaining tight control over performance, availability, and cost. To achieve their ultra-scale properties these systems take a novel approach to data update management: by relaxing the synchronization requirements of updates that need to be disseminated to large numbers of replicas, these systems are able to survive under the harshest performance and availability conditions. These implementations are based on the concept of eventual consistency. The advances in data management developed by Amazon engineers have been the starting point for the architectures underneath the cloud storage and data management services offered by Amazon Web Services (AWS). For example, our Simple Storage Service, Elastic Block Store, and SimpleDB all derive their basic architecture from unique Amazon technologies.

And we like it that way. Invention is in our DNA and technology is the fundamental tool we wield to evolve and improve every aspect of the experience we provide our customers. We still have a lot to learn, and I expect and hope we’ll continue to have so much fun learning it. I take great pride in being part of this team.

# 2011年 重点讲技术—AWS #

“To us, the value of Amazon Web Services is undeniable – in twenty seconds, we can double our server capacity. In a high-growth environment like ours and with a small team of developers, it’s very important for us to trust that we have the best support to give to the music community around the world. Five years ago, we would have crashed and been down without knowing when we would be back. Now, because of Amazon’s continued innovation, we can provide the best technology and continue to grow.” That’s Christopher Tholen, the Chief Technology Officer of BandPage. His comments about how AWS helps with the critical need to scale compute capacity quickly and reliably are not hypothetical: BandPage now helps 500,000 bands and artists connect with tens of millions of fans.

# 2012年 偷懒、吹了下股价和未来—清醒点 #

As I write this, our recent stock performance has been positive, but we constantly remind ourselves of an important point – as I frequently quote famed investor Benjamin Graham in our employee all-hands meetings – “In the short run, the market is a voting machine but in the long run, it is a weighing machine.” We don’t celebrate a 10% increase in the stock price like we celebrate excellent customer experience. We aren’t 10% smarter when that happens and conversely aren’t 10% dumber when the stock goes the other way. We want to be weighed, and we’re always working to build a heavier company.

# 2013年 偷懒、列了一堆在干的事 #

长期主义。

# 2014年 偷懒、从去年事里挑了点—MarketPlace、Prime、AWS #

重点项目。

# 2015年 偷懒、重复了一遍去年的—MarketPlace、Prime、AWS #

重点项目。

# 2016年 Day2——公司变坏、想清楚什么才是亚马逊 #

“Jeff, what does Day 2 look like?”

That’s a question I just got at our most recent all-hands meeting. I’ve been reminding people that it’s Day 1 for a couple of decades. I work in an Amazon building named Day 1, and when I moved buildings, I took the name with me. I spend time thinking about this topic.

“Day 2 is stasis. Followed by irrelevance. Followed by excruciating, painful decline. Followed by death. And that is why it is always Day 1.”

To be sure, this kind of decline would happen in extreme slow motion. An established company might harvest Day 2 for decades, but the final result would still come.

I’m interested in the question, how do you fend off Day 2? What are the techniques and tactics? How do you keep the vitality of Day 1, even inside a large organization?

Such a question can’t have a simple answer. There will be many elements, multiple paths, and many traps. I don’t know the whole answer, but I may know bits of it. Here’s a starter pack of essentials for Day 1 defense: customer obsession, a skeptical view of proxies, the eager adoption of external trends, and high-velocity decision making.

重点列了4件事：

*  **True Customer Obsession**
 *  **Resist Proxies**
 *  **Embrace External Trends**
 *  **High-Velocity Decision Making**

# 2017年 Day2重建文化——高标准 #

How do you stay ahead of ever-rising customer expectations? There’s no single way to do it – it’s a combination of many things. But **high standards** (widely deployed and at all levels of detail) are certainly a big part of it. We’ve had some successes over the years in our quest to meet the high expectations of customers. We’ve also had billions of dollars’ worth of failures along the way. With those experiences as backdrop, I’d like to share with you the essentials of what we’ve learned (so far) about high standards inside an organization.

**Intrinsic or Teachable?**

First, there’s a foundational question: are high standards intrinsic or teachable? If you take me on your basketball team, you can teach me many things, but you can’t teach me to be taller. Do we first and foremost need to select for “high standards” people? If so, this letter would need to be mostly about hiring practices, but I don’t think so. I believe high standards are teachable. In fact, people are pretty good at learning high standards simply through exposure. High standards are contagious. Bring a new person onto a high standards team, and they’ll quickly adapt. The opposite is also true. If low standards prevail, those too will quickly spread. And though exposure works well to teach high standards, I believe you can accelerate that rate of learning by articulating a few core principles of high standards, which I hope to share in this letter.

**Universal or Domain Specific?**

Another important question is whether high standards are universal or domain specific. In other words, if you have high standards in one area, do you automatically have high standards elsewhere? I believe high standards are domain specific, and that you have to learn high standards separately in every arena of interest. When I started Amazon, I had high standards on inventing, on customer care, and (thankfully) on hiring. But I didn’t have high standards on operational process: how to keep fixed problems fixed, how to eliminate defects at the root, how to inspect processes, and much more. I had to learn and develop high standards on all of that (my colleagues were my tutors).

Understanding this point is important because it keeps you humble. You can consider yourself a person of high standards in general and still have debilitating blind spots. There can be whole arenas of endeavor where you may not even know that your standards are low or non-existent, and certainly not world class. It’s critical to be open to that likelihood.

**Recognition and Scope**

What do you need to achieve high standards in a particular domain area? First, you have to be able to recognize what good looks like in that domain. Second, you must have realistic expectations for how hard it should be (how much work it will take) to achieve that result – the scope.

Let me give you two examples. One is a sort of toy illustration but it makes the point clearly, and another is a real one that comes up at Amazon all the time.

**Perfect Handstands**

A close friend recently decided to learn to do a perfect free-standing handstand. No leaning against a wall. Not for just a few seconds. Instagram good. She decided to start her journey by taking a handstand workshop at her yoga studio. She then practiced for a while but wasn’t getting the results she wanted. So, she hired a handstand coach. Yes, I know what you’re thinking, but evidently this is an actual thing that exists. In the very first lesson, the coach gave her some wonderful advice. “Most people,” he said, “think that if they work hard, they should be able to master a handstand in about two weeks. The reality is that it takes about six months of daily practice. If you think you should be able to do it in two weeks, you’re just going to end up quitting.” Unrealistic beliefs on scope – often hidden and undiscussed – kill high standards. To achieve high standards yourself or as part of a team, you need to form and proactively communicate realistic beliefs about how hard something is going to be – something this coach understood well.

**Six-Page Narratives**

We don’t do PowerPoint (or any other slide-oriented) presentations at Amazon. Instead, we write narratively structured six-page memos. We silently read one at the beginning of each meeting in a kind of “study hall.” Not surprisingly, the quality of these memos varies widely. Some have the clarity of angels singing. They are brilliant and thoughtful and set up the meeting for high-quality discussion. Sometimes they come in at the other end of the spectrum.

# 2018年 Day2重建文化——搞探索、要允许失败 #

*  Intuition, curiosity, and the power of wandering
 *  Imagining the impossible
 *  Failure needs to scale too

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