May 28, 2026
Navigating the changing data compliance landscape can be tricky, but we’ve got you covered with these data collection best practices and tips.
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Ethical considerations and ethical data collection are fundamental to building trust with your customers and ensuring compliance with evolving regulations. Implementing ethical practices throughout the data collection process not only protects consumer data privacy but also supports responsible data usage and fosters long-term credibility.
We already know the power of consumer-consented data, so let’s talk about best practices for collecting it. With data & privacy regulations changing and web cookies being phased out, it’s increasingly important to connect with customers and ask directly for data in new ways. Balancing innovation—such as leveraging AI, machine learning, and big data—with ethical considerations is essential, as these technologies can introduce biases and new challenges that must be managed carefully.
According to a recent Shopify report, only 33% of customers believe brands use their data responsibly. Brands that want to connect with their customers must understand best practices for collecting, storing, and using consumer data. Navigating the complex regulatory landscape, including GDPR and industry-specific data protection laws, requires organizations to protect data, collect data ethically, and ensure responsible data usage, especially when handling big data and sensitive consumer information.
Here are our tips for the best ways to use data to build trust and connect with your customers meaningfully.
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Make the Value to the Customer Clear
Ask at the Right Time
Don't Ask for Too Much
Let Users Skip Opt-In
Don't Lose Visitor Data
Optimize Design for Readability and Ease of Use
Be Transparent (and Compliant)
Keep Data Secure
Have a Plan for Using the Data
Data collection plays a major role in how modern businesses personalize experiences, improve marketing performance, and make smarter decisions across the customer journey. But collecting more data only creates value if brands can maintain strong data accuracy and responsible data security practices along the way.
The most effective brands focus on collecting high-quality, consent-based customer data that can actually improve personalization, segmentation, and decision-making rather than simply accumulating more information.
At the same time, customer trust has become a critical part of the equation. Shoppers want transparency around how their information is collected, stored, and used. Prioritizing strong data security practices and maintaining accurate, reliable customer data helps brands create better experiences while building long-term trust and loyalty.
Privacy regulations like General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) have fundamentally changed how brands collect and manage customer data. Transparency, consent, and responsible data handling are no longer optional—they’re expected parts of the customer experience.
For ecommerce brands, that means being transparent about what data is being collected, why it’s being collected, and how it will be used across marketing and personalization efforts. As reliance on third party data becomes less sustainable, many brands are shifting toward more consent-based data collection strategies built around direct customer interactions and stronger first-party relationships.
The brands handling this well aren’t treating compliance as a limitation. They’re using it as an opportunity to build trust through more transparent data practices, clear opt-ins, and responsible data management. Strong privacy standards ultimately create a better experience for both brands and shoppers while supporting more accurate, reliable personalization over time.
Understanding the different types of customer data is becoming increasingly important as brands rethink their personalization and attribution strategies. The four primary categories—first-party, second-party, third-party, and zero-party data—each play a different role in how brands collect insights, target audiences, and improve marketing performance.
As privacy regulations evolve and third-party tracking becomes less reliable, many ecommerce brands are placing greater emphasis on stronger data collection practices built around consent, transparency, and direct customer interactions.
That shift also puts more focus on responsible data processing. Collecting data is only part of the equation. Brands also need clear systems for organizing, securing, activating, and using customer information in ways that improve personalization while maintaining trust and compliance.
First-Party Data: Your Direct Line Information flows straight from your customers to you. Website clicks. Purchase patterns. Survey responses. This isn't just data—it's gold-standard intelligence. Accurate. Relevant. Consented. Your customers handed it to you willingly. No middlemen. No guesswork.
Second-Party Data: Trusted Partnerships Your partners share their first-party treasure with you. Strategic alliances unlock customer insights you'd never reach alone. Transparency stays intact. Trust remains unbroken. Expand your view. Deepen your understanding.
Third-Party Data: Broad Reach, Big Questions External providers gather from everywhere. Then they sell to anyone. Broader insights? Absolutely. Privacy headaches? Guaranteed. Regulations tighten daily. Compliance gets harder. Navigate carefully.
Zero-Party Data: The Holy Grail Customers don't just share—they volunteer their deepest preferences. Intentions. Feedback. Dreams. This data comes with zero friction and maximum insight. Your audience becomes your collaborator. Pure intent. Direct from source.
Smart businesses don’t just collect customer data. They build thoughtful strategies around how that data is collected, managed, and activated across the customer journey.
That means choosing the right data sources, maintaining responsible privacy standards, and staying aligned with evolving data privacy laws like GDPR and CCPA. Brands that prioritize transparency, consent, and strong data governance are better positioned to build trust while creating more accurate, effective personalization and marketing strategies over time.
Customers understand that their data has value, which means brands need to make the exchange feel worthwhile. Most shoppers won’t share personal preferences, goals, or purchase intent without a clear benefit in return.
The strongest zero-party data strategies focus on delivering immediate value through personalized recommendations, faster product discovery, exclusive offers, educational content, or more relevant shopping experiences.
Just as importantly, brands should only collect the data they actually need to improve the customer experience. Asking unnecessary or overly invasive questions creates friction and can reduce trust and completion rates.
Transparency also matters. Customers are far more likely to engage when brands clearly explain how information will be used and support that experience with strong privacy standards and robust data security practices that help protect customer information over time.
Offers and Discounts: The “Welcome Offer” pop-up is a popular way to grow eCommerce subscriber lists. This makes it clear what the subscriber receives immediately.
Pro Tip: Increase conversions with dynamic one-time use coupons instead of generic ones to make sure users don’t look up promo codes and skip the signup process.
Information: This could take the form of a free downloadable guide in exchange for an email sign up, or freemium paywalls that block certain content until a user subscribes.
Custom Recommendations: Quizzes provide an extremely high value exchange—for a few minutes of visitors’ time, they get personalized quiz results, and you learn about their preferences, habits, budget, interests, and lifestyle.
Save shoppers time and mental energy of hunting through your entire catalog with a product recommendation quiz. That’s why it’s helpful to include the estimated time to take a quiz right on the first page of your quiz.
Convenience: Saving your customers time and mental energy is really valuable. Allowing users to save their progress or viewing history can incentivize them to create an account or opt-in to share data. Let them know!
Having a Voice: Sometimes customers simply want to feel heard. Surveys, quizzes, and feedback forms give brands a direct way to understand how shoppers feel about products, website experience, checkout flow, customer service, and overall brand perception.
That feedback becomes especially valuable during data analysis, helping brands identify friction points, improve customer experiences, and make more informed business decisions over time.
Transparency is critical throughout the process. Brands should clearly explain why feedback is being collected, how it will be used, and how customer information will be protected. Obtaining clear consent and following ethical data collection practices helps build trust while encouraging more honest and accurate responses.
It’s equally important to store data securely and maintain strong privacy standards that protect customer information throughout the entire data lifecycle.
Customers are also more likely to participate when they can see the impact of their feedback. Let shoppers know how their responses help shape product decisions, improve experiences, or influence future updates across the business.
Giveaways and Sweepstakes: Prizes can be a huge motivator for sharing data—if the reward matches the ask. No one will write a 5-page essay about your brand for the chance to win a $10 gift card, so keep that in mind. But at a 34% conversion rate, giveaways are definitely effective for list growth.
When it comes to collecting customer data, timing matters. Brands need to build trust before asking shoppers to share more personal information. If an ecommerce quiz is recommending products like health supplements or skincare routines, for example, it’s usually better to begin with lighter preference-based questions before moving into more sensitive topics.
That approach creates a more comfortable experience while supporting stronger engagement and completion rates.
Transparency is equally important. Customers should clearly understand what information is being collected, why it’s being collected, and how it will be used. Strong communication around consent and privacy helps support compliance with evolving data protection laws while reinforcing trust throughout the customer journey.
The same principle applies to lead capture. Asking for an email address later in the quiz often performs better because shoppers have already experienced value from the interaction and have a clearer understanding of how their information will be used.
Thoughtful timing is also an important part of ethical data collection. The best experiences collect information in context and at moments where feedback feels natural and relevant. For example, post-purchase surveys are often more effective immediately after checkout while the experience is still fresh rather than days later through email.
All of this contributes to stronger customer relationships and better long-term data analysis, since shoppers are more likely to provide honest, accurate responses when the experience feels transparent, respectful, and useful.
Asking for customer data without enough context, value, or transparency can quickly create friction and reduce trust. The goal should be to collect information in ways that feel relevant, helpful, and respectful to the customer experience.
Strong personalization starts with thoughtful data collection and responsible data protection practices, not overwhelming shoppers with unnecessary questions or requests.
Here are some of the most common mistakes brands make when collecting customer data:
Mistake 1: Asking Too Frequently Showing the same pop-up several times per session is a surefire way to increase your bounce rate. Eventually, visitors won’t close it—they’ll just close your site.
Limit how many times a visitor sees a message per session, and make sure they only see messaging relevant to them.
Mistake 2: Asking for Too Much Information Filling out forms or surveys can be tedious, so be intentional about how many fields your forms include. Only collect the data points that are necessary for your specific objectives. Defining clear objectives before data collection ensures you only gather relevant data points that align with your research questions or business goals, making your data usage purposeful and compliant with data collection best practices.
A good rule to follow: unless you have a plan for using a specific data point, you probably don’t need it.
When creating a product recommendation quiz, it’s tempting to gather a lot of customer profile data, whether or not it’s necessary to make a recommendation. Quizzes are great for gathering that data, but asking too many questions increases drop-off rates. To keep quiz takers engaged, prioritize questions that determine quiz results.
Mistake 3: Asking for Too Much Effort
Be mindful of how many steps, clicks, redirects, inputs, and tasks you ask visitors to put up with.
For example, if a customer enters their email to get a coupon code, provide the code on the thank you page, rather than making them go to their inbox to look for it.
You also don’t want to ask for their email address over and over. One way Digioh streamlines user experience is with hidden fields that pass data we already have, such as your email address. That way we don’t have to ask users who are already on the list to enter it again and again.
Customer acquisition matters, but not at the expense of conversion. One of the biggest mistakes brands make when collecting data is adding unnecessary friction at high-intent moments in the customer journey.
For example, if a shopper is about to abandon their cart, that’s usually not the right moment to gate a discount behind an email form. Instead, a better approach may be an exit-intent offer that immediately delivers value: “Here’s 20% off your order right now. Use this code within the next 10 minutes.”
The priority in that moment is conversion, not lead capture.
If the shopper completes the purchase, there will still be opportunities to collect their email during checkout or through post-purchase engagement. Strong ethical data collection strategies recognize that timing and context matter. Brands should focus on asking for only the data needed at each stage of the customer journey rather than forcing unnecessary barriers that can reduce conversions altogether.
With quizzes, not every shopper wants to submit their email address before viewing results. Giving users a clear “skip and see results” option can significantly reduce friction and improve overall quiz completion rates.
The key is making that option visible rather than hiding it behind tiny text or secondary styling. In many cases, offering a prominent skip button actually improves engagement because shoppers feel more in control of the experience. We’ve seen brands reduce quiz drop-off by as much as 70% simply by making the skip option easier to find.
While it may seem like a missed opportunity not to capture an email address immediately, reducing friction often leads to better overall engagement and higher completion rates. Once shoppers see personalized recommendations and experience value from the quiz, brands still have opportunities to capture emails later through product pages, checkout flows, follow-up offers, or post-quiz engagement.
Even before you collect a visitor’s email address, you can use their provided data to display relevant messaging.
With Digioh, once customers do opt in, their profile is updated and consolidated across all devices. That means you can let users sign up at their own pace, without losing any visitor data. To ensure transparency and compliance with data privacy laws regarding the data collected, it is essential to use standardized formats and document metadata. These practices help maintain data quality, make information machine-readable, and minimize inconsistencies.
Smart, accessible design increases completion rates for forms, surveys, and quizzes. That's especially true on mobile devices. It's important that text is readable, there's breathing room between fields, and buttons are easy to tap accurately.
Sometimes breaking up large forms into smaller steps can have a huge impact on completion rates. Conversational forms are a popular alternative to daunting longer forms.
Progress bars can also keep users engaged and reduce fatigue. Making it easy for your site visitors to complete a quiz or survey will drastically increase your zero-party data collection.
Be transparent about what information you’re collecting, why you’re collecting it, and how it will be used across the customer experience. A clear and trustworthy data collection process not only supports legal compliance, but also plays a major role in building customer confidence and long-term loyalty.
As brands continue collecting data through quizzes, forms, surveys, and personalization experiences, strong privacy standards have become increasingly important. Regulations like GDPR, CCPA, and PIPEDA require businesses to obtain proper consent, protect customer information, and give users more control over how their personal data is used.
Strong ethical data collection practices go beyond simply meeting legal requirements. The best brands are proactive about transparency, consent, and customer communication throughout the entire data collection process. When shoppers understand how their information improves personalization, recommendations, and overall experience, they’re often more willing to engage and share accurate information.
Here are some ways to increase transparency when processing personal data:
Some quiz questions may feel personal or unexpected, which is why context matters. When brands explain why they’re asking for certain information and how it improves recommendations, shoppers are much more likely to continue through the experience with confidence.
In some cases, the questions aren’t especially sensitive, they just seem unrelated at first glance. For example, Bedgear asks shoppers for their shirt size in its pillow finder quiz. On the surface, that might feel out of place, but the quiz explains that shirt size helps estimate shoulder width and head positioning, which directly impacts pillow fit and support recommendations.
Small moments of transparency like this help shoppers understand the value behind the question while making the overall quiz experience feel more thoughtful and personalized.
Nothing damages customer trust faster than a data breach. When customers share personal information with a brand, they expect that data to be handled responsibly, stored securely, and protected from unauthorized access.
That responsibility becomes even more important when dealing with sensitive data like health information, payment details, location data, or purchase behavior. Strong security practices around data storage, transfer, access controls, and system monitoring are essential as cyber threats and privacy risks continue to grow.
Maintaining strong security standards also plays a major role in overall data quality. Customer data is only valuable if it’s accurate, protected, and trustworthy across systems and platforms.
Industries like healthcare and financial institutions have long operated with strict security and compliance requirements because the stakes around customer information are so high. Increasingly, ecommerce brands are being held to similar expectations as consumers become more aware of privacy, security, and how their information is being used.
Key Security Points for Protecting Consumer Data:
Data integrity and data quality directly impact how effectively brands personalize experiences, segment audiences, analyze performance, and make business decisions. Inaccurate, incomplete, or outdated information can create problems across marketing, reporting, customer experience, and compliance efforts.
That’s why strong data management practices are becoming increasingly important as brands navigate evolving privacy laws, growing customer expectations, and rising security threats tied to customer information.
Maintaining high-quality data requires ongoing validation, monitoring, deduplication, and system oversight to ensure customer information stays accurate and usable across platforms. Strong governance practices also help reduce operational risk while improving personalization and campaign performance.
Just as importantly, responsible data management is tied closely to data ethics. Customers expect brands to collect information transparently, use it responsibly, and protect it throughout the entire customer lifecycle.
Brands that prioritize data quality, security, and ethical data practices are better positioned to build trust, improve customer experiences, and create more effective long-term marketing strategies.
Why collect behavioral data without a plan to use it?
According to CommerceNext, more than 50% of brands surveyed don’t take full advantage of their data. Developing a comprehensive first party data strategy and leveraging a customer data platform (CDP) are essential steps to collect first party data from various channels like websites, mobile apps, and social media, and to manage and activate this data effectively. Utilizing web analytics and digital marketing tools can further enhance audience segmentation and personalization, ensuring your marketing strategy is data-driven and impactful.
Additionally, implementing fair and unbiased data processing is crucial to prevent bias in data interpretation, as addressing bias and fairness in data analytics helps avoid damaging decisions and ensures equitable outcomes.
Here are some ways to use your consumer-consented data:
Personalization: Go beyond “First Name” merge tags for truly personalized experiences. Examples of email and website personalization include:
Retargeting: Use data to entice visitors back to your site. You can even use quiz results in your retargeting campaigns on the Google Ads network. Then, show return visitors personalized on-site messaging based on data they provided.
Segment: Build out segments based on customer preferences, interests, demographics, and other data customers share with you. Speak directly to their interests and needs.
Abandonment: Customers abandon for all kinds of reasons, so make it as easy as possible for them to pick up where they left off in the sales process.
Some ways you can use behavioral data to reduce cart abandonment:
Marketing Budget: Understanding your audience can help focus your marketing efforts and provide a competitive advantage. Use quizzes and surveys to learn what they’re passionate about, where they spend their time, and more.
Hopefully these best practices for collecting data help you not only collect data, but use it to grow your business. For a complete breakdown of consumer-consented data, here are some other articles you might like.
Data collection and management have become central to how modern businesses personalize experiences, improve marketing performance, and build long-term customer relationships. But collecting more data alone isn’t enough. The real advantage comes from maintaining accurate, secure, and actionable information that can be activated across the customer journey.
As brands manage larger volumes of customer information and increasingly complex big data environments, strong governance practices become essential. That includes maintaining data quality, protecting customer privacy, implementing reliable access controls, and ensuring information is properly managed across platforms and teams.
At the same time, privacy expectations and regulations continue to evolve. Customers expect brands to handle their information responsibly, communicate transparently, and maintain strong security standards around how data is collected, stored, and used.
This is one reason many ecommerce brands are prioritizing strategies built around first-party and zero-party data. The ability to activate first party data across email, SMS, advertising, personalization, and customer experience initiatives gives brands more control, stronger targeting capabilities, and more reliable long-term marketing performance in a privacy-first environment.
Customer data platforms, integrations, and centralized systems can help support this process, but technology alone isn’t the solution. The strongest data strategies combine thoughtful governance, responsible privacy practices, accurate customer information, and meaningful personalization that creates value for both the business and the customer.
Brands that prioritize security, transparency, and customer trust are better positioned to adapt as privacy laws, customer expectations, and marketing ecosystems continue to change.
Don’t settle for siloed tools. With Digioh, you get one powerful platform for pop-ups, product quizzes, onsite identification, and more—everything you need to personalize every step of the customer journey. Identify more traffic. Collect more zero-party data. Turn insights into revenue.
