Struggling to get customers to share their data?
Many brands understand the importance of customer data, but convincing people to share it can be challenging. Static forms, generic pop-ups, and lengthy surveys often create more barriers than benefits.
By 2026, the focus isn’t on collecting more data. It’s about gathering the right data in a way that feels relevant, clear, and worthwhile for the customer.
In this guide, we will explore what customer data is, what you should collect, and which methods are most effective. We will also examine how gamified experiences can make customer data collection more engaging and successful.
What is customer data?
Customer data is the information a business collects about its customers to better understand who they are, what they want, and how they interact with the brand.
This can include basic details like names and email addresses, as well as purchase history, browsing behaviour, preferences, and feedback. In simple terms, customer data helps brands make better decisions, create more relevant experiences, and build stronger relationships over time.
Why is collecting customer data important in 2026?
1. Customers expect relevance, not generic marketing
Customer expectations have evolved. People now expect brands to understand their interests and respond with something relevant, rather than another generic message. McKinsey reports that 71% of consumers want personalised interactions, and 76% become frustrated when they do not receive them. This demonstrates that customer data is essential for helping brands create journeys that feel genuinely useful.
2. Better data helps brands turn personalisation into performance
From a brand perspective, customer data is crucial because better decisions rely on it. You can’t effectively segment, personalise offers, or enhance retention if the data underlying those decisions is weak. Consumers spend an average of 54% more with brands that personalise their experiences, yet only 16% of brands strongly agree they have the customer data needed to do so well.
3. Customers are more open to personalisation, but more cautious with data
This is where things become more nuanced in 2026. Customers want relevant experiences, but they are also more cautious about how their information is used. Salesforce found that 73% of customers feel brands now treat them as unique individuals, but only 49% believe brands use their information in a beneficial way. That gap matters. It highlights that collecting data alone is not enough. Brands must also demonstrate that the exchange feels fair and worthwhile.
What data should you collect from customers?
The short answer is to collect data that reveals who the customer is, what they desire, and what they are likely to do. This doesn’t mean gathering everything; rather, it means focusing on useful data for personalisation, segmentation, recommendations, retention, or targeting.
1. Basic contact and identity data
Begin with the essentials. This usually includes details such as a customer’s name, email address, phone number, location, or account information.
This data helps you identify the customer and provides a means to continue the conversation through email, SMS, loyalty programmes, or customer service touchpoints. For many brands, this forms the foundation of customer data collection.
2. Behavioural data
Behavioural data shows how customers engage with your brand. This can include the pages they visit, the products they view, what they click on, how long they stay, and where they drop off.
This type of data is valuable because it reveals intent. It helps you identify what customers are interested in, what they are comparing, and where friction might be affecting conversion.
3. Transactional data
Transactional data includes what customers have purchased, how frequently they buy, how much they spend, and whether they return, cancel, or abandon their trolley.
This is one of the most valuable types of customer data because it directly links to revenue. It can help you identify loyal customers, forecast repeat purchases, and develop more targeted retention campaigns.
4. Preference and zero-party data
This is the data customers intentionally share with you. It might include product preferences, style choices, goals, interests, budget, or the type of offers they want to receive.
For many brands, this is where customer data becomes much more actionable. It helps you personalise more accurately because you are not just guessing based on behaviour. You are learning directly from what the customer tells you.
5. Feedback and satisfaction data
Customer feedback reveals how people feel about their experience. This could include reviews, survey responses, NPS, support conversations, or post-purchase feedback.
This data is valuable because it provides context for the numbers. It helps you understand not just what customers did, but why they did it.
How to collect customer data?
1. Use forms and sign-up flows to collect direct data
If you need data that a customer can readily provide, the best approach is to ask for it directly. This usually includes:
- name
- email address
- phone number
- location
- birthday
- marketing preferences
- product interests
- budget or needs
This kind of data is easiest to gather through sign-up forms, pop-ups, checkout fields, account creation, and preference centres. It performs best when the value exchange is clear, such as a discount, a personalised recommendation, or early access to an offer.
2. Use website analytics to track customer behaviour
Not all customer data needs to be collected through forms. Behavioural data comes from tracking what visitors do on your site.
With Google Analytics 4, brands can measure actions such as product views, add-to-basket events, checkout starts, purchases, and other recommended ecommerce events. This helps in understanding what interests customers, where they drop off in the process, and which journeys lead to conversions.
This kind of data can help you answer questions like:
- Which products are getting attention?
- Which traffic sources bring in high-intent visitors?
- Where are customers dropping out of the funnel?
- Which pages are helping conversion, and which are not?
3. Use heatmaps and session recordings to spot friction
Analytics can reveal what happened. Heatmaps and session recordings help you understand why it occurred.
Tools such as Microsoft Clarity offer heatmaps and session recordings that display where users click, how far they scroll, and how they navigate through a page. Hotjar also provides heatmaps and session replay tools to help identify unexpected blockers, hesitation, and confusing user journeys.
These tools are especially useful for identifying:
- confusing page layouts
- ignored CTAs
- friction in forms
- checkout hesitation
- content that users scroll past without engaging
4. Use post-purchase and on-site surveys to collect feedback
If you want to understand what customers think, not just what they do, surveys are among the clearest ways to gather that data.
You can use short surveys to gather:
- satisfaction scores
- product feedback
- purchase motivations
- unmet needs
- reasons for abandoning or not converting
- customer service feedback
Qualtrics, for example, supports customer surveys and can automate feedback collection around key interactions such as purchases or customer service moments.
5. Use quizzes or interactive experiences to collect preference data
Some of the most valuable customer data is the information people willingly share with you, especially when they are seeking the right product or offer.
That might include:
- style preferences
- goals
- budget range
- product needs
- category interests
- preferred rewards or incentives
This is where interactive formats can work particularly well. A quiz, spin-to-win, instant win mechanic, or other gamified experience can make data collection feel more engaging and less like a standard form. Instead of asking for information in a static way, you are giving customers a reason to participate.
Which customer data collection method works best?
There is no single best method for every brand.
The appropriate method depends on the type of data you wish to collect, the customer’s position in their journey, and how much friction they are prepared to accept.
For brands aiming to gather more useful, willing-to-share data without relying solely on static forms, gamified experiences are among the most effective approaches to test.
How can gamification improve customer data collection?
Gamification is effective because it makes data collection more engaging and less like a chore.
Instead of asking customers to fill out another form, you give them a reason to participate first. This can make it much easier to gather declared interests, preferences, and lead data from customers who already show intent.
Gamification is worth testing because it can:
- Make customers more willing to share data: A reward, result, or interactive experience gives people a clearer reason to engage.
- Reduce form fatigue: Quizzes, spin-to-win mechanics, and instant win formats often feel lighter than static forms or standard pop-ups.
- Collect more useful preference data: Interactive experiences are especially good for learning what customers want, need, or are interested in.
- Improve segmentation and follow-up marketing: The data you collect can help you send more relevant offers, recommendations, and messages afterwards.
- Support conversion, not just data capture: Used at the right moment, gamification can help move mid-funnel customers closer to action.
For brands facing low opt-in rates or weak preference data, gamification is not merely a creative addition. It is a practical approach to enhancing customer data collection.
Need better customer data? Odicci helps make it easier to collect
If your current data collection method relies on static forms, generic pop-ups, or low-response surveys, it might be time to adopt a more engaging approach. Gamification can help brands gather more valuable customer data by making the experience feel more relevant, interactive, and rewarding.
Odicci offers brands a practical way to achieve this. You can explore our gamification platform to see how it functions, browse the game library to discover different mechanics and try them yourself, or book a demo to learn how Odicci can help you turn customer data collection into a more effective element of your growth strategy.