什么是Cookies（追踪Cookies）？数字营销指南

Cookies是用户访问网站时存储在其设备上的小文本文件，允许网站记住用户信息、偏好和活动，以改善浏览体验并实现营销追踪。

Analytics and Measurement

Here's why it's so vital: tracking cookies drive significant returns on marketing spend, but they're also at the heart of privacy battles. GDPR enforcement as a whole has produced around €6.11 billion in fines since 2018 (CMS Enforcement Tracker, cut-off 1 March 2026), and cookie consent is one of the areas regulators watch closely. Whether you're optimizing a retargeting campaign or preparing for a world with fewer cookies, how you handle tracking cookies will shape your marketing results in the years ahead.

What Are Tracking Cookies and How to Manage Them?

Tracking cookies work in a very simple but effective way. When you open a website, the server creates a distinct identity saved in a tiny text file (1-4KB) on your browser. This ID allows for the tracking across sessions and sites, thus forming complete user profiles for marketing goals.

There are four key steps in the technical process that should concern every marketer. One, is that identifiers are created during a first website visit, and they include geographic location, device type and data on browsing behaviour. Second, they remain between multiple sessions, so a site can automatically identify you as a returning visitor. Third, stored cookies are sent back to servers by browsers on each visit, making it possible to keep track of and personalize every interaction. Then there's cross-site tracking, which involves third-party cookies shadowing users as they browse between domains to create detailed behavioral profiles.

Two primary types dominate today and shape how marketers need to approach their strategies. Set by the website being visited, first-party cookies perform essential functions, such as keeping you logged in, holding your shopping cart, and remembering your settings. They are usually well received by users and browsers. Third-party cookies, which are placed on browsers by external domains for advertising and analytics, allow cross-site tracking but are increasingly restricted. This difference matters, but the often-cited claim, attributed to Apple's 2024 privacy research, that only 46% of consumers opt in to tracking when choices are made clear could not be traced; Apple's privacy page publishes no such opt-in rate.

Types of Tracking Data Collected

Today's tracking cookies record a range of online behaviors that feed advanced marketing initiatives. Analytics cookies such as Google Analytics' _ga (two years) and _gid (24 hours), along with Google Ads' _gcl_au (90 days), deliver data about user visits, sessions, page views, and conversion flows. These insights can be used to improve the user experience and to spot trends and popular content.

Advertising cookies used by platforms such as the Meta Pixel (formerly Facebook Pixel), Google Ads and programmatic networks monitor user interests, demographics and purchase intent across third-party sites. That data allows for precise audience targeting as well as advanced retargeting campaigns. Session cookies store a user's state during a browsing session, while persistent cookies can monitor behavior for months or even years, depending on their expiration times.

Cross-device tracking is one of the most powerful capabilities for marketers. Through probabilistic and deterministic matching, cookies help build unified customer profiles across smartphones, tablets and desktops. This gives you a unified view of the customer journey, consistent messaging and more accurate attribution.

Marketing Applications That Drive Real Business Results

Retargeting and Remarketing Excellence

Retargeting is one of the best-known uses of tracking cookies, and two success stories are often cited for it. Meta's case study saying that Spearmint Love reached a 38x return on ad spend after implementing the Facebook Pixel could not be independently verified, because the page could not be accessed. The second link, Omni Hotels, experienced a 4x conversion rate, refers to a MiQ case study in which Omni Hotels & Resorts saw a 4x increase in conversion rates compared with cookie-based targeting; that result came from a cookieless approach (Google Display & Video 360's PAIR with first-party data), not from cookie-based retargeting.

The retargeting mechanism of success operates on complex audience segmentation according to the user's behavior. Marketers should focus on such users who have viewed specific products, abandoned carts, or spend more time on a certain content page. Dynamic product ads, which use cookies to display items visitors have seen before, and sequential messaging have proven effective in leading consumers through marketing funnels with more personalized messages.

Salesforce's guide to Automation marketing platforms utilising cookies is often cited for strong returns. The figure comes from Nucleus Research, which found in 2021 that organizations deploying marketing automation realized $5.44 in benefits for every dollar spent over the first three years, while the often-quoted claim that 65% of marketers rate their automation strategy as very effective could not be traced. These platforms enrich customer records with cookie data to create personalized email campaigns, display customized content, and serve timely offers at critical points in the buying cycle.

Attribution and Analytics Mastery

Cookie tracking allows for advanced attribution models that paint a full picture of the customer journey. Multi-touch attribution enables marketers to identify which touchpoints are contributing to conversions, making it possible to better allocate budgets across channels. View-through conversions record those who have viewed ads without clicking and then converted (giving greater visibility to campaign impact).

Google Analytics' full cookie suite covers user identification (_ga, two years) and shorter-term session grouping (_gid, 24 hours). Other tools add their own identifiers: Google Ads uses the gclid URL parameter and the _gcl_au cookie for conversion measurement, and the Meta Pixel sets the _fbp cookie. Together, this ecosystem gives detailed views of user activity and allows marketers to fine-tune their campaigns for maximum impact.

With cookie-based tracking you can map out the customer journey and see how customers move between touchpoints before converting. Knowing this kind of typical path-to-purchase can not only optimize messaging, but also highlight points of drop-off, enhancing overall marketing funnel conversion rates.

Personalization and Dynamic Content

Cookies fuel personalization engines that adjust user interactions on the fly. Dynamic content adapts a website according to a user's previous visits, for example by showing products or content that similar visitors viewed, recommending content and personalizing messaging. Cookie-based email marketing personalization triggers behavioral campaigns, segments audiences and presents targeted offers based on each person's browsing history.

Predictive analytics uses cookie data to anticipate what customers want. Machine learning models analyze user behavior to suggest products, flag churn risk and identify high-value prospects. These insights support proactive marketing that engages customers before they show signs of leaving.

The business impact can be substantial. The claim that brands using first-party data grow revenues 2.9 times and save 1.5 times more on costs traces back to BCG research (2020): digitally mature brands using first-party data in advanced marketing achieved revenue uplifts of 1.5 to 2.9 times and cost efficiency gains of 1.5 times. Note that this research concerns first-party data, not cookie-based systems as such.

Privacy Compliance: Navigating GDPR and Global Regulations

GDPR Requirements and Enforcement Reality

European privacy rules have fundamentally changed cookie compliance, and enforcement demands attention. Under the EU's ePrivacy rules, read together with GDPR's consent standard and applied by each country's data protection authority, prior opt-in consent is needed for cookies that are not strictly necessary for the service the user requested, subject to narrow exemptions such as certain audience-measurement cookies (covered below). That means no pre-ticked boxes (the Court of Justice of the EU confirmed this in its 2019 Planet49 ruling) and no implied consent. The European Data Protection Board's consent guidelines (05/2020) add that consent is not freely given when access to a website is made conditional on accepting cookies without a genuine choice, a setup often called a cookie wall. People also need to know what they're agreeing to, with specific control over different cookie types.

Hefty fines show how seriously regulators take cookie consent. In January 2022, France's CNIL fined Google €150 million (Google was fined €150 million) for making it easier for users to accept cookies than to refuse them, and fined Facebook €60 million (Facebook faced €60m fines) for the same failing. Earlier, in December 2020, the CNIL fined Amazon Europe Core €35 million (Amazon getting slapped with €35 million) for placing advertising cookies without prior consent. Even tech giants are not beyond the reach of enforcement.

Best practices for GDPR compliance include using a reliable Consent Management Platform (CMP) that keeps non-essential cookies blocked until consent has been given. Simple language in consent banners helps users make conscious decisions. The often-quoted claim that only 0.4% of people use detailed cookie settings could not be traced, but the point stands: consent interfaces should be clean, transparent and respectful of user intent without being designed to fail.

Global Privacy Landscape Complexities

Outside the EU, there's no one-size-fits-all approach to privacy compliance. California's CCPA, as amended by the CPRA, follows an opt-out model and requires a "Do Not Sell or Share My Personal Information" link rather than a cookie banner. By July 2025, 19 US states had passed comprehensive privacy laws, according to the IAPP, each with its own requirements.

Virginia, Colorado, and Connecticut were among the first states to follow with comprehensive privacy laws of their own, mostly built on an opt-out model rather than GDPR-style opt-in consent, and more states continue to legislate. This patchwork of US privacy laws creates compliance challenges for marketers operating in more than one jurisdiction.

The often-quoted claim that consent rates of 72.5% to 82% are attainable when consent is implemented correctly could not be traced to a source. What is clear is that consent should come from transparent, user-centered design that favors clarity over manipulation. The goal is to balance effective marketing with sincere respect for privacy preferences.

Consent Management Best Practices

User-friendly design combined with technical sophistication is necessary for good consent management. Consent signals have to be implemented in real time into marketing platforms for user decisions to be effective instantly. Automatic cookie detection makes a scan of all cookies within websites, classifying in their correct category for consent.

Granular consent choices let users decide in more detail which cookies they accept. Cookies that are strictly necessary for a website to function do not require consent. In the EU, advertising and personalization cookies that are not strictly necessary require the user's prior consent. Analytics cookies usually need consent too, but some national authorities allow narrow exemptions: France's CNIL, for example, exempts audience-measurement cookies used solely to measure the publisher's own audience, producing anonymous statistics only, with no cross-site tracking, no combining with other data, and no transfer of non-anonymous data to third parties. Under GDPR, withdrawing consent must be as easy as giving it, and the opt-out process should be clear and user-friendly.

Documentation and audit trails are critical in proving compliance in the face of regulatory investigations. Comprehensive logs of consent interactions, cookie behavior and user preferences furnish an evidence-based trail of good-faith compliance efforts when authorities scrutinize practices.

Consumer Attitudes and Market Trends

Demographic Differences in Cookie Acceptance

Consumer attitudes toward tracking cookies differ by age and region, with direct implications for marketing strategy. Figures often quoted for this, such as acceptance of 47% among Generation Z versus 36% among Baby Boomers, could not be traced to a source. Where such gaps exist, they are usually attributed to differing privacy expectations and levels of digital literacy.

Geographic differences matter even more for global brands. Acceptance rates are often quoted as below 25% in Germany and France and over 80% in the US, but these figures could not be traced to a source. Even so, consent strategies should be adapted to local sensitivities without undermining marketing efforts.

Knowledge gaps remain despite growing awareness. In All About Cookies' surveys of US adults (2023 and 2025), only 2% of people correctly identified every real consequence of rejecting cookies, and roughly a quarter (24%) said they blindly accept cookies; the often-quoted figure of 50.6% of US consumers accepting cookies without understanding the risks could not be traced. This gap gives marketers and designers both an opportunity and a responsibility to educate users respectfully.

Industry Dependencies and Disruption Potential

Market data shows heavy reliance on cookie-based tactics across industries. In a 2023 Adobe study, 75% of marketers said they still relied heavily on third-party cookies. The often-quoted figures that 32% of in-house marketers are totally reliant on them and that publishers risk up to a 25% revenue loss from cookie deprecation could not be traced to a source.

Claims that 48% of publishers expect layoffs because of lost cookie revenue and that 80% of business leaders expect negative operational side effects also could not be traced. Still, the direction is clear: it pays to shape alternatives proactively before market dynamics leave few choices.

Platform dependencies create additional vulnerabilities. Chrome held about 66% of the worldwide browser market in September 2026 (Statcounter), which gives Google's cookie policies outsized influence; in April 2025 Google decided to keep its current approach to third-party cookie choice in Chrome rather than roll out a standalone prompt. Safari and Firefox already block or restrict third-party cookies by default, so cookie-based targeting does not work consistently across browsers.

Privacy Paradox and User Behavior

Despite stated privacy concerns, user actions often appear to be at odds with reported preferences, in what researchers call the "privacy paradox." In Pew Research Center's 2023 survey, as reported by EMARKETER, 67% of US adults said they turn off cookies or website tracking to protect their privacy (Two-thirds of US adults block cookies), yet many of them still use services that they know share their data as a condition of service.

Convenience trumps privacy in the real world however. People willingly agree to accept cookies for a personalized experience, a quicker check-out or personalized content recommendation, despite raising privacy concerns in general. Understanding this paradox will help marketers to design consent experiences that resonate with real privacy preferences whilst emphasising value exchange benefits.

Trust is the deciding factor in whether people consent. The often-quoted claim that excellent complaint resolution makes 83% of customers more loyal could not be traced, because the Khoros page now redirects to the company's homepage. Even so, transparent data practices and responsive customer service underpin the trust that ongoing, consent-based relationships depend on.

Future-Proof Alternatives and Emerging Solutions

First-Party Data Strategies Taking Center Stage

First-party data strategies are the closest and most sustainable alternative to third-party cookies, offering better-quality and more compliant information. The often-quoted claim that 43% of US marketers already use first-party data with media partners could not be traced to a source. Customer Data Platforms (CDPs) such as Segment, Adobe Real-Time CDP, and Twilio Engage consolidate owned data for activation across channels.

For instance, progressive profiling tactics allow for information collection to occur incrementally and in exchange for value, resulting over time in robust user profiles that build without overwhelming users. Zero-party data derived from surveys, preference centers and interactive content that is, earned directly from the customer gives explicit views into what customers want and what they intend to do.

The claim that 88% of marketers report that first-party data has never been more important could not be checked, because the linked HubSpot page is no longer available. What is clear is that few companies have company-wide strategies for using first-party data. Implementing one successfully depends on coordination among teams, technical investment in infrastructure, and a cultural shift toward customer-centric data practices.

Server-Side Tracking Revolution

Server-side tracking moves data collection from the browser to a server, which can improve data accuracy and reduce losses from browser restrictions, although consent is still required wherever the law demands it. The claim that Facebook's Conversions API reduced cost per purchase by 44-77% among early users could not be traced, because Meta's help page could not be checked.

Server-side Google Tag Manager offers enterprise-level tagging for large operations, with greater data control and a lighter load on the browser. Measurement can be more precise because server-side processing is less affected by browser differences, ad blockers, and network or technical variations.

A privacy-by-design architecture helps marketers deploy proper tracking while complying with strict privacy laws. Because processing happens on servers the business controls rather than in the browser, the business has more control over what data is shared with vendors.

Contextual Advertising Renaissance

Privacy concerns are driving a renaissance for contextual advertising. The often-quoted figure of 61% of US publishers using contextual advertising to reduce reliance on user tracking could not be traced, because the IAB page is no longer available. AI-powered content analysis helps match ads in real time to page content rather than to user behavior.

Contextual advertising can work well. The anchor 8.5% revenue for Waken Mouthcare points to a Dentavox case-study page, but the figure matches Amazon Ads' own case study: in March 2023, Waken's monthly revenue surpassed its target revenue by 8.5% (a result measured against a target, not an 8.5% revenue increase), using a full-funnel approach that combined contextual targeting with in-market audiences and retargeting. In a separate example in Amazon Ads' contextual advertising guide, an unnamed consumer packaged goods (CPG) brand saw a 20x return on ad spend without relying on cookies or mobile ad IDs. That example suggests privacy-respectful advertising can compete with legacy cookie-based performance.

Content sentiment, topic relevance and audience intent are analyzed by machine-learning algorithms to serve the right ads. This methodology allows for a privacy-sensitive approach to advertising that is consistent with intelligent content-ad matching.

Privacy Sandbox and Industry Standards

Google's Privacy Sandbox APIs were meant to provide standardized replacements for third-party cookies. In October 2025, however, Google announced it would retire most of them, including the Topics API and the Protected Audience API, while keeping a few technologies such as CHIPS, FedCM and Private State Tokens. Topics was designed to calculate a user's interests on the device and share a small number of topics with sites, and Protected Audience ran remarketing auctions on the device so that user data stayed there.

Chrome's plans changed several times. Google's original plan for Chrome's phased approach to removing third-party cookies was replaced in 2024 by a user-choice approach, and in April 2025 Google said that users would keep choosing in Chrome's settings, with no standalone prompt. Industry initiatives such as Prebid.org continue to provide open-source tools for the wider ad ecosystem.

Testing and optimization windows give marketers a chance to measure new measurement and targeting approaches against historic data before scaling the ones that work. Early movers can turn that experience into a competitive advantage.

Strategic Implementation for Digital Marketers

Immediate Action Items for Marketing Teams

In this changing environment, success demands both immediate urgency and long-term planning. Start with auditing existing use of cookies and find important use cases that need an alternative solution. The best time to begin is now, before external market pressures force a shift into a new gear. Start off by server side tracking and first party data collection models.

In Cisco's 2024 Data Privacy Benchmark Study, organizations estimated a 1.6x return on their privacy investments, and in the 2025 study 96% said the returns significantly outweighed the costs. Privacy-first approaches build customer trust and preserve marketing effectiveness, creating sustainable competitive advantages.

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"The future of digital marketing lies not in collecting more data, but in building genuine trust through transparent data practices. When we respect user privacy while delivering value, we create sustainable competitive advantages that benefit both brands and consumers in the long term."

Tessar Napitupulu, Founder and CEO of Arfadia

Provide phased migratory plans which would allow testing of new technologies and current performance levels. Begin with lower-stakes applications such as contextual ads for upper-funnel initiatives before you roll new features out into remarketing and conversion optimization as you gain confidence.

Investment Priorities and Budget Allocation

Compliance and developing trust become reliant on consent management platforms, which becomes an investment in automation tools that feature automated cookie scanning, real-time consent signals, and robust reporting. With integration of a marketing technology stack, consent preferences will flow smoothly across every channel and platform.

Educate teams: Training helps marketing professionals learn about privacy protocols, new technologies and responsible ways to collect data. Legal and compliance consultation provides advice on complex legal requirements across jurisdictions.

Testing and learning budgets allow marketers to test new solutions with the ability to measure performance against the baselines. By working across marketing, legal, IT and customer service teams, everyone is aligned in taking such a privacy-first approach to marketing.

Measuring Success in the Transition

New KPIs reflect privacy-first marketing realities: Quality of relationships over quantity of data. Traditional metrics like click-through rates or the number of views take a backseat to customer lifetime value (CLV) retention rates and brand sentiment scores as success indicators for long term success.

Quality of first-party data metrics, that is, how well are data collected, collected completely, summarized and activated at marketing points. Compliance rates and depth of engagement with privacy controls are therefore suggestive of trust and satisfaction with data practices.

Revenue attribution models become more flexible in the face of decreasing granular tracking, relying more on statistical modeling, marketing mix modeling and incrementality testing. These methods offer strategic information and yet take into account user privacy preferences.

Best Practices and Expert Recommendations

Technical Implementation Guidelines

Technical knowledge matters during cookie implementation if you want to get it right and stay compliant. Adequate classification separates strictly necessary cookies from cookies that need consent, such as advertising and personalization cookies and most analytics cookies, unless an analytics cookie meets a narrow exemption like the CNIL's for audience measurement. Expiration management sets a suitable lifetime for each cookie type, balancing functionality and privacy expectations.

Cross-domain consistency lets you keep the same consent experience across your domains and subdomains. Consent forms should be mobile-responsive so they work on any device and screen size. Better performance comes from loading consent scripts efficiently so they don't slow down your pages.

Active audits and maintenance catch orphaned cookies, expired tracking codes, and compliance lapses. Documenting policies to keep cookie usage purpose and data flow clear is necessary for legal compliance.

Building Customer Trust Through Transparency

Transparent communication of data practices create the substrate for enduring consent relationships. Privacy policies written in plain language explain how cookies are used for nontechnical customers. Value exchange articulation assists to make transparent benefits that users receive from sharing data.

Fine-grained control lets users choose exactly which cookie categories they accept. Convenient opt-out systems show a genuine commitment to respecting user preferences. Regularly communicating privacy practices and policy changes keeps trust high through transparency.

Client education efforts make users aware of options for privacy and sufficient for informed choices. Responsive customer support responds to privacy questions quickly and comprehensively, instilling trust through an orderly set of interactions.

Preparing for Future Changes

Regulatory monitoring supports proactive compliance in a changing environment. Industry engagement with trade associations and standard-setting organizations helps shape future privacy frameworks. Technology assessment identifies new solutions as they reach the market.

Scenario planning gears up for a range of potential futures, from faster cookie deprecation to new regulatory requirements. Vendor assessment ensures marketing tech partners share privacy commitments and deliver compliant outcomes.

Skills development Prepare marketing teams for the changing privacy landscape with training, certification and professional development.

Frequently Asked Questions

What happens to my marketing campaigns when third-party cookies disappear?

Your campaigns won't stop working, but measurement and targeting are changing. Google decided in April 2025 to keep third-party cookie choice in Chrome, yet Safari and Firefox already restrict these cookies, and consent rates vary widely; the often-quoted figure of 46% of consumers consenting to tracking when given clear choices could not be traced. Concentrate on first-party data collection, server-side tracking, and contextual advertising. Many marketers are already reducing their reliance on third-party cookies.

How can I calculate ROI without sophisticated user tracking tools I can use?

With marketing mix modeling and incrementality testing, you can analyze the statistical effects of campaigns without tracking individual users. First-party data analysis, for example in Google Analytics 4, still tells you a lot about users who consent. CLV and retention are better indicators of long-term success than CTR.

Are first-party cookies subject to privacy regulations?

There are generally fewer restrictions on first-party cookies, which tend to be more widely accepted. But in the EU, non-essential first-party cookies used for advertising still require prior consent, and analytics cookies do too unless they meet a narrow exemption, such as the one France's CNIL applies to audience measurement (anonymous statistics for the publisher's own use, no cross-site tracking, and no sharing of non-anonymous data with third parties). Strictly necessary cookies for website functionality do not need consent, but being transparent about their use helps build trust.

What is the best consent management tool for small businesses?

There are providers like CookieYes, OneTrust, and Termly for small outfits and, at the other end of the spectrum, enterprise solutions like Adobe Experience Cloud and Salesforce. Select platforms that have automatic cookie scanning, real-time consent signals and easy connectivity to your current marketing technology stack.

How do I weigh personalization against privacy compliance?

A clear value exchange helps users understand the benefits of sharing their data. Over time, progressive profiling builds a fuller picture of each customer while offering multiple opportunities for voluntary interaction. Surveys and preference centers collect zero-party data, giving explicit insights while respecting privacy preferences.

What are some other tracking options ideal for e-commerce?

Advanced e-commerce tracking via first-party cookies, back-end integration, and client account information for opted in audience segments. Collaborative filtering based product recommendation engine work without any tracking of individual. Personalization does not suffer when you do automated email marketing with the help of purchase history and browsing behavior.

How should we prepare our team for the cookieless future?

With customer trust so important to the industry, cross-functional training on privacy laws, alternative technologies and customer trust-building is imperative. Nothing builds confidence like hands-on experience with new tools and platforms. Structured learning paths for marketing professionals are offered by Google, Facebook and trade associations through industry certification programs.

Related Terms

Ad Impression - Single instance of an advertisement being displayed to a user, fundamental metric for tracking cookie effectiveness
Marketing Automation - Technology automating repetitive marketing tasks that agencies use to scale client campaigns efficiently
Return on Investment (ROI) - Key performance metric agencies use to measure and demonstrate campaign profitability for clients
Customer Data Platform (CDP) - Technology platform unifying customer data from multiple sources for personalized marketing campaigns

Conclusion: Embracing the Privacy-First Marketing Future

Tracking cookies still offer strong marketing opportunities, but their future depends on responsible use that respects user privacy and the law. The evidence is clear: traditional tactics face strong headwinds from regulation (GDPR fines totaling around €6.11 billion as of March 2026), browser restrictions in Safari and Firefox, and consumers' growing expectations of privacy.

But major opportunities await marketing organizations prepared to change proactively. The often-cited figures need context: Companies that focus on privacy have a 1.6x ROI according to Cisco's 2024 benchmark study (the linked page is a Deloitte trust report), and brands that leverage first-party data have 2.9x revenue uplift only at the top of a BCG range of 1.5 to 2.9 times. The difference lies in seeing privacy not as a constraint but as a competitive advantage that builds stronger customer relationships and marketing that works.

It takes urgency, but also foresight. Keep using cookies where allowable and possible and also work on building alternative solutions via first-party data tactics, server-side tracking, and contextual targeting. The organizations that win in the years ahead will be those who are treating privacy as an opportunity, not an obstacle.

The cookie's evolution marches on, but the trajectory is clear. The digital marketers who lean in and adopt privacy-first digital strategies today and invest in transparent and open data practices without sacrificing performance will find that privacy can drive stronger business results. Looking to turn privacy compliance into a competitive advantage?