cookie_deprecation

  • The Bottom Line: Cookie deprecation is the internet's shift away from third-party tracking, creating a powerful economic moat for companies rich in direct customer data and a significant threat to businesses that have long relied on the old advertising model. * Key Takeaways: * What it is: The ongoing process, led by Apple and Google, of phasing out third-party cookies—the small files that have tracked your activity across different websites for decades. * Why it matters: It fundamentally reshapes the ~$600 billion digital advertising industry, creating a clear divide between companies with direct customer relationships (first_party_data) and those who effectively “rent” audiences. This directly impacts a company's competitive moat and long-term profitability. * How to use it: Use this trend as a lens to analyze how a company acquires and retains customers, assessing the durability of its business model in a world that increasingly values privacy and direct engagement. ===== What is Cookie Deprecation? A Plain English Definition ===== Imagine for a moment that every time you walked into a mall, a freelance personal shopper started following you. Let's call him “Tracker Tom.” Tom isn't employed by any single store. He silently follows you from the bookstore to the shoe shop, to the food court, and back. He jots down every item you look at, every purchase you make, and every sample you try. He then sells this detailed dossier to any company that will pay for it. The next time you're in the mall, you suddenly see ads for running shoes and sci-fi novels everywhere you look, because Tom sold your data. For the last two decades, third-party cookies have been the internet's version of Tracker Tom. These tiny bits of code, placed on your browser by companies you've never directly interacted with, have followed you from site to site, building a detailed profile of your interests, habits, and intentions. This profile was the fuel for the massive programmatic advertising engine, allowing brands to target you with seemingly hyper-relevant ads all over the web. Cookie deprecation is the business equivalent of malls banning all freelance “Tracker Toms.” Led by privacy-conscious moves from Apple (with its Intelligent Tracking Prevention) and Google's plan to phase out third-party cookies in its Chrome browser, the industry is undergoing a seismic shift. It's crucial to understand this isn't the end of all cookies. First-party cookies are still essential and are not going away. Think of a first-party cookie as the helpful employee inside a store you've chosen to enter. They remember what you put in your shopping cart, keep you logged into your account, and recall your language preferences. They enhance your experience on that specific website. They don't follow you out the door and into the next store. Cookie deprecation is specifically the death of the third-party cookie, the cross-site tracker. This forces a massive change in strategy. Companies can no longer easily buy a detailed profile of your entire web history. Instead, they must build a direct relationship with you to understand what you want. The power is shifting from data brokers and ad exchanges to the companies that you, the customer, choose to trust with your information. > “The most important thing to do if you find yourself in a hole is to stop digging.” - Warren Buffett. For years, many companies dug themselves deeper into a reliance on third-party data. Cookie deprecation is the moment the shovel breaks, forcing them to find a new, more sustainable way to grow. ===== Why It Matters to a Value Investor ===== For a value investor, cookie deprecation is not a trivial tech headline; it's a fundamental change in the competitive landscape that directly impacts the intrinsic_value of many businesses. It acts as a great “sorting hat,” separating durable, high-quality businesses from fragile ones. Here's why you must pay attention: * It Widens Existing Moats: This is the most critical takeaway. Companies that have spent years building direct relationships with their customers now find their economic moats widening into vast oceans. * The “Walled Gardens”: Giants like Google (your search history), Meta (your social connections), Amazon (your purchase history), and Apple (your app and hardware ecosystem) possess an incredible wealth of first_party_data. They don't need to track you across the web because you willingly live, shop, and search inside their ecosystems. Their ability to offer effective advertising is enhanced while others' is diminished. * Strong Brands & Subscription Services: Companies with strong brands that encourage customers to create accounts, sign up for newsletters, or subscribe to services (think Disney+, The New York Times, or even your favorite e-commerce brand with a loyalty program) are in a position of power. They own their customer data and the channel to communicate with them. * It Crumbles Weak Business Models: Many businesses, particularly in digital media and ad-tech, were built entirely on the foundation of third-party data. They acted as middlemen, arbitraging user attention. With the data pipeline being shut off, their core value proposition is at risk. Their customer acquisition costs may soar, and their revenue streams could evaporate. Investing in such a company without a clear and credible pivot strategy is speculation, not investing. * It Tests Management Quality: A key part of assessing management quality is evaluating their foresight and capital allocation. How a company's leadership team is navigating the post-cookie world is a live stress test. Are they investing in building a better customer experience to earn first-party data? Are they developing a strong brand that people want to engage with directly? Or are they complaining about the changes and hoping for a technical workaround? The answer to these questions reveals a lot about their long-term strategic thinking. * It Impacts the Margin of Safety: As a value investor, you seek a significant margin_of_safety. A business whose entire customer acquisition strategy is dependent on a technology that is being actively phased out by the world's largest tech companies has an inherently low margin of safety. The range of potential negative outcomes is wide, and the risk of permanent capital impairment is high. Conversely, a business that owns its customer relationships has a much more predictable future, offering a more reliable foundation for an investment thesis. ===== How to Apply It in Practice ===== Analyzing the impact of cookie deprecation isn't about becoming a software engineer. It's about asking the right business questions. Here is a practical framework to apply this concept when analyzing a potential investment. === The Method === - Step 1: Identify the Role of Digital Advertising. First, determine how central digital advertising is to the company's business model. Ask two key questions: * Does the company EARN revenue from digital ads? (e.g., a social media platform, a news publisher). * Does the company SPEND heavily on digital ads to acquire customers? (e.g., a direct-to-consumer brand, an e-commerce marketplace). * If the answer to either is “yes,” then cookie deprecation is a material factor you must investigate. - Step 2: Assess the Data Source. This is the heart of the analysis. Dig into how the company understands its customers. * Look for signs of First-Party Data Strength: Does the company have a large base of logged-in users? A popular loyalty program? A high-value newsletter or mobile app? Do customers willingly share their information in exchange for a better service or product? * Look for signs of Third-Party Data Reliance: Does the company's marketing language focus on “reaching audiences at scale” or “programmatic targeting”? Is their website cluttered with ads from generic ad networks? Do they have a weak direct-to-consumer channel? A lack of a clear value exchange for user data is a major red flag. - Step 3: Analyze the “Walled Garden” Proximity. Where does the company operate in the new landscape? * Inside the Walls: Is it a platform like Meta or Google that benefits directly from the change? * A Strong Independent Fort: Is it a company like Netflix or a strong e-commerce player with a powerful brand and direct customer data, able to thrive on its own? * Outside in the Wilderness: Is it a business that relies on the open web for traffic and monetization, and is now exposed to the storm? The risk is significantly higher here. - Step 4: Scrutinize Management's Commentary. Read the last several quarterly earnings call transcripts and the latest annual report. Use “Ctrl+F” to search for terms like: * “First-party data” * “Cookie deprecation” / “Third-party cookies” * “Customer data platform” / “CDP” * “Contextual advertising” * “Customer acquisition cost” / “CAC” * A proactive, detailed strategy is a green flag. Evasive answers or a total lack of discussion is a bright red one. === Interpreting the Result === Your goal is to classify the company's position. A company with a strong brand, a growing database of first-party user information, and a management team that clearly articulates its data strategy is well-positioned to not only survive but thrive. They will likely see their competitive position strengthen and their marketing become more efficient over the long term. Conversely, a company with a weak brand, no direct customer relationship, and a management team that is silent on the issue is a high-risk proposition. Their growth may have been a function of cheap, cookie-based advertising, a well that is now running dry. ===== A Practical Example ===== Let's compare two hypothetical digital media companies to see this principle in action. * Company A: “The Artisan Baker” - A premium, subscription-based online publication for home baking enthusiasts. * Company B: “GossipGrid.com” - A free-to-read celebrity news aggregator with high traffic. ^ Characteristic ^ The Artisan Baker (Strong Position) ^ GossipGrid.com (Weak Position) ^ | Business Model | 90% from premium subscriptions ($10/month), 10% from highly curated affiliate links (e.g., specific baking equipment). | 100% from programmatic display advertising placed by third-party ad networks. | | Customer Relationship | Direct. Has 2 million paying subscribers who are logged in. Manages a popular weekly newsletter with a 60% open rate. | Anonymous. Users are transient and rarely return. No login or subscription function. | | Data Source | Rich first-party data. Knows which recipes users save, which articles they read, and what products they click on. | Relies entirely on third-party cookies to understand users. Knows a visitor is “interested in fashion” because they visited a retail site earlier. | | Post-Cookie Impact | Minimal negative impact. Can use its own data to promote its premium subscription more effectively. Can sell premium “contextual” ad slots (e.g., a KitchenAid ad on a stand mixer review page) directly to brands at a high price. Its moat widens. | Catastrophic impact. Ad networks can no longer effectively target users on the site. Ad rates (CPMs) plummet as ads become generic and irrelevant. Revenue is projected to fall by over 50%. | | Value Investor Thesis | This is a durable business with a strong brand, predictable recurring revenue, and a strengthening competitive position. It owns its future. | This is a fragile business model entirely dependent on a dying technology. It faces an existential crisis. Avoid. | This example clearly shows how cookie deprecation isn't just a technical detail—it's a force that brutally exposes the underlying quality of a business. ===== Advantages and Limitations ===== Analyzing a company through the lens of cookie deprecation is a powerful tool, but it's important to understand its strengths and weaknesses. ==== Strengths ==== * Focus on Durability: This analysis forces you to prioritize what truly matters for long-term value: the strength of a company's relationship with its customers. It's a direct measure of business quality. * Early Warning System: Understanding this trend allows you to spot vulnerabilities in business models long before they show up in quarterly earnings reports. It helps you avoid “value traps”—companies that look cheap but whose fundamentals are rapidly deteriorating. * Clarity on Moats: It provides a crystal-clear, modern-day example of how economic moats are built and destroyed. In the 21st century, a proprietary, ethically-sourced data asset is one of the most powerful moats a company can have. ==== Weaknesses & Common Pitfalls ==== * Technical Complexity: The world of ad-tech is filled with acronyms and complex proposed solutions (e.g., Google's Privacy Sandbox, Unified ID 2.0). It's easy to get lost in the technical jargon and miss the simple business reality. Remember to always focus on the business question: “Does the company own its customer relationships?” * Timeline Uncertainty: The final nail in the third-party cookie's coffin (specifically from Google Chrome) has been delayed multiple times. This can lull investors into a false sense of security. The trend is undeniable, even if the final date is fluid. Don't mistake a delay for a cancellation of the execution. * Not a Monolithic Impact:** It's a mistake to assume every ad-supported business is doomed. Some will successfully pivot to contextual advertising (placing ads based on the page's content, not the user's history) or other innovative models. The analysis requires nuance and a company-by-company investigation, not a blanket judgment on an entire sector.