Hi there! If you‘re a digital marketer, you‘ve probably been hearing a lot about "data privacy regulations" like GDPR and CCPA. You might be worried these new rules spell the end of data-driven marketing as we know it.
It‘s true regulations like GDPR do restrict how you can collect and use customer data. But rather than resist, smart marketers are finding ways to adapt. With some adjustment, you can build trust and loyalty in a privacy-first era.
In this post, I‘ll summarize the key laws, how they impact marketing, and tips to thrive in the new landscape. Let‘s dive in!
What are the main privacy regulations?
It all started with the European Union‘s General Data Protection Regulation (GDPR), which went into effect May 2018. Despite the name, it applies to any business handling data of EU residents, regardless of location. It set a high global bar with stringent consent requirements and steep potential fines.
According to PwC, GDPR compliance spending among Fortune 500 companies exceeded $7.8 billion. What did they get for all that money? pressure for other regions to follow suit with their own laws.
Major regulations modeled after GDPR include:
California Consumer Privacy Act (CCPA) – Since January 2020, it has given California residents new rights over use of their data like access and deletion. Applies to companies with over $25 million in revenue or 50,000 users. Fines can hit $7,500 per violation.
Protection of Personal Information (POPI) Act – South Africa‘s core privacy law took effect in 2013 but some provisions weren‘t enforced until 2020. Based partly on international laws like GDPR.
Lei Geral de Proteção de Dados (LGPD) – Brazil began enforcing its tough new data protection regime in 2021. Like GDPR, fines can reach up to 2% of a company‘s worldwide revenue for violations.
So while GDPR set the tone, regulations continue to proliferate globally. Gartner predicts that by 2023, over 65% of the world‘s population will have its personal data covered under privacy regulations similar to GDPR.
What do these regulations require?
While specific requirements vary, modern data privacy laws impose a common set of obligations on organizations:
Consent – You must provide clear notice with an affirmative opt-in before collecting any personal data. No more pre-checked boxes or sneaky legalese.
Access – Individuals can request a report detailing what data you hold on them and how it‘s used. You must provide it or delete the data within 30 days generally.
Deletion – Also called the "right to be forgotten", people can ask you to permanently delete their data and you must comply. Limited exceptions apply.
Restriction – Individuals have the right to limit how you use their data, like stopping the sharing of their info with third parties.
Security – You must implement appropriate technical and organizational controls to protect collected data, like encryption.
Breach notification – Data exposures must be reported to regulators and individuals within 72 hours in most jurisdictions. Prompt communication is key.
Privacy by design – From the start, you must engineer privacy into the core of your data infrastructure, rather than tacking it on later.
Assessment – For high-risk processing like large-scale monitoring, a formal data protection impact assessment is often required.
Staying compliant takes regular training and review, especially as regulations evolve. But the financial and reputational costs of violations push organizations to invest appropriately.
Significant fines result from non-compliance
Regulators have shown they are not afraid to levy substantial fines and penalties against companies that fail to comply:
- British Airways was fined a record £20 million under GDPR when a 2018 data breach exposed details on over 400,000 customers.
- When millions of customer records were compromised, Marriott was hit with a £18.4 million penalty by the UK Information Commissioner‘s Office (ICO) under GDPR.
- France‘s data authority CNIL imposed its largest GDPR fine ever on Google of €50 million in 2019 for failing to adequately explain how user data is collected and processed to obtain consent.
- In October 2020, the Hamburg Commissioner for Data Protection fined clothing retailer H&M a record €35.2 million for unlawful employee monitoring and access controls under GDPR.
Even smaller violations can incur 5 or 6 figure fines depending on severity and jurisdiction. But the greatest cost is often lost customer trust after a breach.
Rethinking marketing strategies
For digital marketers, privacy laws have triggered massive changes in day-to-day practices:
Gone are the days of casually adding anyone and everyone to email lists or remarketing pools. Now you need to:
- Display clear opt-in checkboxes or statements on web forms and signup flows. Avoid pre-checked boxes.
- Clarify why you need the data and exactly how it will be used. Stating "to improve your experience" is too vague.
- Make it easy for people to subsequently withdraw consent or unsubscribe from communications.
- Promptly honor any opt-out requests. Retaining data against someone‘s wishes can lead to headaches.
Restricting unseen tracking
Many common tracking techniques are now outright illegal or require very overt notice and consent:
- Cookie notices must clearly explain their exact purpose rather than hide behind vague jargon.
- Mobile SDKs can no longer silently grab device identifiers like advertising IDs in the background by default.
- Browser fingerprinting, location data collection, and other sneaky methods are much more restricted under regulations like GDPR.
Investing to comply
Marketing is working much more closely with legal, IT, and security to:
- Build compliant data architectures with granular user controls, access logs, tightly scoped purposes, short retention periods, and strong organizational policies.
- Appoint Data Protection Officers (DPOs) to provide guidance and oversee governance.
- Update processes around data subject requests, breach notification, and regular risk monitoring.
- Evaluate and select marketing technologies that enable privacy by design rather than expose compliance gaps.
Shifting from third-party to first-party data
While challenging, restrictions on third-party data force teams to better leverage owned first-party data like:
- Transaction history and past interactions with current customers.
- Site behavior and detailed profiles developed from properties you own and operate.
- "Zero-party" data that users voluntarily provide like preferences and contact details.
It may be more limited in scale, but first-party data builds loyalty rather than spark fears of creepiness.
Adapting specific marketing activities:
Here‘s a quick look at how teams are adapting specific marketing channels and techniques:
- Segment contacts based on clear opt-ins and nature of the relationship. Avoid broad general lists.
- Allow granular consent like checkbox options about types of messages the subscriber wants.
- Provide "one click unsubscribe" options on all campaigns. Make it easy to opt-out.
Social media marketing
- Only collect consenting followers‘ data required for your business purposes like basic profiles and engagement.
- Be extremely transparent if running targeted ads using customer data. Clearly explain how you got the data.
- Give an easy way for followers to request account deletion or data removal if they no longer wish to be included.
- Avoid silently profiling all site visitors by default. Be overt when possible or only create anonymous behavioral segments.
- For logged-in members, allow granular controls over data collection and use. Don‘t assume all-encompassing consent.
- Audit ad tech vendors closely for data collection, privacy controls, and security measures. Demand contractual protections.
- Carefully evaluate targeted advertising practices against regulations. Optimize contextually where needed.
- Adopt privacy-centric solutions like cookie-less approaches from Google FLoC to The Trade Desk Unified ID 2.0.
- Enable data collection controls in Google Analytics like IP anonymization and optional tracking.
- Aggregate or filter sensitive user-level data before exporting reports.
- Delete analytics data regularly based on specified retention periods.
- Classify data by sensitivity and pseudonymize where possible. Remove direct identifiers for less risky activities.
- Implement granular access controls and organizational policies aligned with retention limits and lawful purposes.
Emerging privacy-enhancing technologies
Regulations restrict some current practices but also spark promising innovations to balance privacy and analytics like:
Differential privacy – A system called differential privacy injects calculated noise into aggregated outputs to obscure individual data points while still deriving useful insights. Apple has adopted it for analytics across iOS 16 and more companies are integrating the approach.
Federated learning – Rather than pooling raw data in a central server, federated learning allows decentralized model training while keeping data partitioned on device. Google uses federated learning for features like next-word prediction on Android to address privacy concerns.
Homomorphic encryption – Still early research, but homomorphic encryption lets you run computations on fully encrypted data without decrypting it first. So analytics can be performed while maintaining encryption protections end-to-end.
Techniques like these allow organizations to continue honoring regulatory obligations while still gaining valuable data insights.
Looking ahead at the future of data privacy
Though compliance projects are well underway, the privacy landscape continues rapidly evolving:
- New regulations – Laws like the California Privacy Rights Act (CPRA) update and expand existing ones. More jurisdictions worldwide will enact their own regulations.
- Heated debates – Initiatives like Apple‘s controversial plans to scan for child abuse images spark intense debates about protecting privacy versus broader social harms. Regulation will likely always balance competing interests.
- Innovation – As third-party data becomes more restricted, marketing innovators will keep finding privacy-centric alternatives like contextual advertising and technologies like anonmyized data analytics.
Data privacy is undoubtedly here to stay. Forward-thinking marketers recognize this and tilt their strategies toward transparency, choice, value exchange and trust. While more limited than in the Wild West days, customer data that follows core regulations is of higher quality and builds loyalty rather than sparks creepiness. As you adapt to the new era, focus on building sincere relationships directly with your customers based on trust and ethical data practices.
Key takeaways and advice
Here are the critical points to remember about marketing in the era of privacy regulations:
- Get up to speed on requirements of major laws like GDPR, CCPA and upcoming ones in your jurisdictions. Don‘t ignore them!
- Build compliant data collection, retention and security practices. Involve your legal team. Stay on top of guidance.
- Audit your tech stack and partners. Choose solutions that enable privacy by design.
- Shift to first-party data like sales history and zero-party opt-in preferences to drive personalization.
- Adopt privacy-enhancing technologies like differential privacy where possible to balance compliance and insights.
- Be extremely transparent with customers. Explain how you use data and make opt-outs easy.
- Focus on delivering value, not creepiness. Build relationships based on trust rather than tracking.
With care, privacy and personalization can coexist. Regulations keep companies ethical and remind us data is ultimately about serving people. Now get out there and market like the world is watching!
Hope this guide provides a helpful starting point for adapting your marketing strategies to the new data privacy era. Feel free to reach out if you have any other questions! I‘m happy to help fellow marketers navigate these changing times.