Effective, ethical customer data collection lets you improve campaigns, retention, and ROI. But privacy changes and cookie restrictions are reducing the quality of tracking data. The brands that stand out are the ones that collect customer data with a focus on accuracy, compliance, and real-time insights.
New tools and strategies like AI-driven user data collection and server-side tracking make it easier to understand your customers and respond in real time.
This guide shows you how to build a consent-first data strategy, choose the right tools (like Bïrch Hub), and turn raw customer data into actionable growth.
Key takeaways
- Zero-party methods, customer quizzes, and loyalty sign-ups boost personalization with consent-driven accuracy.
- Privacy-first data collection ensures compliance with GDPR/CCPA while building user trust.
- Customer data collection software like Bïrch Hub captures actionable insights for instant, relevant marketing.
- Integrated platforms unify behavioral, identity, and operational data for smarter segmentation and campaign ROI.
What is customer data, and why does it matter?
Customer data is the information your business gathers about its audience through direct interactions, purchases, and digital engagement. It can be as basic as a name and email address or as detailed as behavioral patterns (such as clicks or visit frequency) and purchase triggers.
Customer data is especially relevant when you want to optimize your ad campaigns or trim ad spend. The insights can help you:
- Personalize campaigns for higher engagement.
- Segment audiences to target more effectively.
- Forecast demand and campaign performance.
- Improve products and services with feedback insights.
According to McKinsey, companies that leverage customer behavioral insights outperform peers by 85% in sales growth and 25% in gross margin.
Types of customer data explained

When you understand the different types of customer data and what you can use it for, you can collect data that’s relevant to your marketing goals.
Where is marketing data collected?
Marketing data comes from many sources—websites, apps, social media, email, e-commerce, and emerging channels like voice assistants and IoT devices. By tracking user actions such as page views, button clicks, form submissions, and purchases, you gather valuable insights about behavior and preferences. Tools that capture first-party web data in real time let you respond quickly—like showing a personalized offer or updating content based on a user’s actions.
Pro tip: Integrating all these sources into a customer data platform ensures you have a single source of truth and can activate insights consistently across campaigns.
How to collect customer data (with examples)
There’s no “one way” to collect customer data. What will work for you will depend on your audience, your goals, and the privacy rules that matter most to your business.
Let’s look at some of the most common customer data collection methods brands are leveraging.
First-party data collection
This is data you gather directly from your own channels, making it the most reliable and valuable. It offers a clear view of customer behavior without relying on third-party sources.
First-party data includes information from web analytics and on-site tracking, CRM integrations, forms, gated content, and feedback surveys.

For example, Netflix tracks the shows and movies you watch, how long you watch them, and what you search for. With this data, the streaming service personalizes recommendations and improves content suggestions.
Similarly, HubSpot offers free ebooks or whitepapers in exchange for a visitor’s name, email, and company name, and Starbucks collects customer feedback through surveys linked to its rewards program.
Browsers like Chrome, Safari, and Firefox are phasing out third-party cookies, making first-party data more essential than ever. Bïrch Hub lets you capture first-party data in real time—fully compliant and completely cookie-free.
Zero-party data
Customers willingly share this information, often for a better, personalized experience. With only 51% of consumers trusting brands to protect their data, information given voluntarily is accurate, reliable, and compliant. It includes information gathered through preference quizzes, loyalty program sign-ups, and account customization settings.
For example, pet stores like Petco and Zooplus let you create a profile for your pet and share info they can use to tailor product recommendations. That level of detail helps marketers avoid generic targeting and instead focus on what’s most relevant to each customer.

Zero-party data works well for personalized content, but to truly understand what drives conversions and improve overall campaign efficiency, it’s necessary to combine zero-party data with other sources, such as behavioral and performance data. Relying only on zero-party data limits the strategic understanding required for robust campaign optimization.
Third-party data
Third-party data is still used—for example, when collected by external organizations or shared through partnerships. However, its accuracy is declining due to privacy rules and browser tracking restrictions.
You can still tap into it to expand reach, enrich audience profiles, and uncover prospects beyond your existing database. It can even help with scale and predictive targeting. But the cracks are widening. More regulation, stricter browsers, and diminishing reliability make it harder to extract real value.
The price tag is another hurdle. High-quality third-party data doesn’t just cost more—it demands complex integration, carries compliance risks, and too often delivers weaker ROI than the cleaner insights you get from consent-based sources.
Offline data sources
Even in a digital world, real-world interactions remain valuable for profiling and decision-making. Offline data encompasses POS transaction records and event registrations, as well as surveys and interviews conducted on paper.

For instance, the British supermarket Tesco collects data offline through its Clubcard program. When customers use their Clubcard in store, the system records purchases, shopping frequency, and spending habits. This data is linked to the customer profile. Tesco then uses it to send personalized coupons, discounts, and offers.
How to build a customer data strategy step by step
A smart marketing data collection strategy isn’t about capturing everything—it’s about gathering the data that truly helps improve your results. Here’s a clear, actionable process to help you build a strategy that fuels growth without adding complexity.
This approach works for all data types—first-party, zero-party, third-party, and offline—but we’ll keep things simple by focusing mostly on examples from first-party data.
1. Map the data journey
Draw a simple diagram showing where data comes from (website, ads, CRM, offline sales), where it’s stored, and how it flows between tools.
✏️ Example: a customer clicks a Facebook ad, visits your site, and fills out a form. The data goes to your CRM, is enriched with purchase history, and is used for email segmentation.
2. Tie every data point to a business goal
Decide what you want to achieve: personalization, smarter segmentation, improved retention, better attribution, or all of the above.
✏️ Example: if your goal is higher retention, focus on behavioral data like repeat purchase frequency, not just demographics.
3. Decide what to collect (and what to skip)
Ask: “Will this data help me take action?” If not, don’t collect it.
High-value data includes: identity (email, name), behavioral (pages viewed, products browsed), and experience (NPS score).
4. Centralize your sources
Create a single source of truth in a CDP or CRM so all teams work from the same data set.
5. Build governance and compliance from day one
Make sure to follow GDPR and CCPA rules by using clear processes or reliable tools to keep data safe and stay compliant.
Define who can access what data and for how long it’s stored.
6. Avoid common pitfalls
Hoarding unnecessary data “just in case” can lead to issues further down the line.
Keep your data fields consistent across platforms (e.g., “first_name” in every tool).
Review your strategy quarterly to adjust for new channels, laws, and goals.
Pro tip: Treat your data strategy like a living document—update it as your business, tools, and regulations evolve.
Best customer data collection software in 2025
Choosing the right customer data collection software is essential for turning raw data into actionable insights. The right tools help you unify customer information, stay compliant, and make smarter marketing decisions.
Let’s review top software solutions that help you securely collect data while ensuring compliance—so you can confidently boost your marketing campaigns.

Collect and control your data with Bïrch Hub
Bïrch Hub is the new go-to interface within the Bïrch ecosystem for managing first-party web data. Think of it as the friendly face sitting on top of Meta’s Signals Gateway. Instead of switching back and forth between Meta and Bïrch or dealing with complicated setups, you can now collect and route your website events in just a few clicks.
Behind the scenes, Bïrch Hub runs on Signals Gateway, which handles event routing, deduplication, and quality checks to keep your data accurate and reliable. This makes retargeting, LTV modeling, and funnel tracking more dependable, with less manual work.
With Bïrch Hub, you stay in control of your data and where it goes. Currently, it supports Meta and BigQuery, and additional destinations will be added over time.
Track every interaction with HubSpot, Salesforce, and Nutshell
These CRM platforms help you keep track of your customer interactions across marketing, sales, and support.
HubSpot helps you manage contacts, automate marketing, send emails, and track leads all in one place, simplifying business growth. If your needs are more complex, Salesforce is a powerful and customizable solution that adapts to your unique sales, service, and marketing workflows.
And, if you’re running a small to mid-sized business, Nutshell combines CRM with email marketing automation to help you stay organized and connected.
These tools are designed to give you a complete view of your customers and help you engage with them more effectively.
Connect all your data with Segment and BlueConic
These tools are powerful CDPs designed to unify data from multiple sources—including websites, CRMs, and offline channels—into a single, consistent customer profile.
Segment supports extensive integrations and enables data forwarding to various marketing, analytics, and BI tools. BlueConic focuses on real-time data collection, activation, and personalization across channels, enabling marketers to create unified customer journeys and improve targeting accuracy.
Analyze user behavior with GA4, Hotjar, and Typeform
With these tools, you can analyze user behavior and capture survey responses or form submissions.
Google Analytics 4 makes it easy to track how users interact with your website and apps across different platforms, using privacy-friendly, event-based data combined with smart machine learning insights.
To complement this, Hotjar gives you a clear view of exactly how visitors behave on your site through heatmaps, session recordings, and feedback tools—helping you identify what’s working and what needs improvement.
With Typeform, you can quickly create engaging, user-friendly forms and surveys that capture valuable customer feedback, giving you the insights you need to enhance your marketing efforts.
Secure consent with Cookiebot and OneTrust
Consent management platforms like Cookiebot and OneTrust give users control over their data preferences, helping you be transparent with your customers, build trust, and protect your business from legal repercussions.
They automatically scan your website to identify cookies and trackers, then display clear consent options so that your visitors can easily accept or customize their choices.
Drive smarter personalization with Optimove and Cortex
Predictive analytics and AI-powered segmentation help you understand what customers will do next. You can then deliver personalized, timely experiences, like dynamic website content or push notifications, that feel helpful, not intrusive.
Optimove specializes in advanced audience segmentation and campaign automation. It enables you to create and run personalized marketing campaigns at scale by automating repetitive tasks such as customer micro-segmentation, journey orchestration, and multi-channel campaign execution. This boosts customer retention and lifetime value while saving your team time.
Cortex uses AI to uncover insights from your creative assets and marketing data. You can use them to refine design choices, messaging, and overall campaign strategy. By connecting creative content with customer preferences and behaviors, Cortex helps your marketing campaigns stand out and drive deeper engagement.
Pro tip: Focus on integrating first-party data collection with analytics, CRM, and AI segmentation tools for a fully actionable, privacy-compliant customer data ecosystem.

Turning data into better marketing
When collecting customer data, aim to capture what matters most. Prioritize privacy-conscious, user-first strategies to build trust, stay compliant, and ensure your marketing is thoughtful, not intrusive.
Combining the right strategy with tools like Bïrch Hub lets you centralize first-party data, respect privacy, and use raw information to guide improvements.
Try Bïrch for free to start collecting and activating customer data with ease.
FAQs
What useful data can marketers gather from customers?
Marketers can gather actionable identity, behavioral, experience, and operational data directly tied to business goals.
What are the best customer data collection methods?
The best methods include web tracking, CRM forms, loyalty, and feedback programs. For server-side data collection, Bïrch Hub provides an easy, in-dashboard interface built on top of Meta’s Signals Gateway, letting you capture, validate, and route website events accurately.
Is it legal to collect customer data?
Yes, it is legal to collect customer data as long as businesses obtain proper consent, remain transparent, and use compliant infrastructure that supports regulations such as GDPR and CCPA.
How do businesses respect privacy while collecting data?
Businesses should strive to be transparent about data usage, offer opt-ins, anonymize sensitive information, and comply with regulations.
What’s the difference between customer and consumer data?
Customer data is actionable, first-party, and specific. Consumer data is broader, often third-party, and market-wide.
How do you capture and track customer data?
Capture and track customer data through website/app analytics, CRM forms, e-commerce platforms, and consent management tools.
How do you collect customer data?
You can collect customer data through direct surveys, account registration, purchase tracking, and integrated platforms.
What can my company do with the data it collects?
Customer data can be used to personalize, segment, forecast demand, refine products/services, and improve support.
Where is marketing data collected?
Marketing data is collected from websites, mobile apps, social platforms, emails, CRM, in-store POS, and offline channels.
Why integrate customer data across platforms?
Integrating customer data across platforms creates a unified view of the customer, improves personalization, and measures ROI across channels.
What happened to Revealbot?
Revealbot has a new look and a new name—we’re now Bïrch! The change highlights our focus on bringing together the best of automation and creative teamwork.