The compounding value of first-party data and how few brands actually capture it

First-party data has been called the most valuable asset in modern marketing for years. And yet most brands systematically collect too little of it, store it in fragmented systems, and rarely do anything with it that actually moves the needle.

That is not a technology problem. It is a strategy problem.

The value of first-party data compounds. The more you know about a customer, the more relevant your communication can be. The more relevant you are, the more willing someone is to share. That self-reinforcing loop is exactly what separates brands that do this well from brands that only talk about it well.

Where it goes wrong

Most brands collect data reactively. They run a campaign, someone fills in a form, and that email address lands in a CRM that does very little with it afterwards. That is a missed opportunity.

The issue is in the design. Brands treat data collection as a discrete funnel step, when it should be a continuous exchange. Every touchpoint, from a gamified activation to a loyalty check-in, is an opportunity to learn something about a person. Not through invasive tracking, but through meaningful interaction where the user gets something back.

The question is not: 'How do we collect more data?' The question is: 'Why would someone want to tell us anything?'

Giving value in exchange for data

The brands doing this well use their digital experiences as data collection instruments. Not through pop-ups or pre-ticked checkboxes, but by building experiences people genuinely want to complete.

At Livewall, we design loyalty programmes and gamified activations that collect data as a by-product of enjoyment. Take the Decathlon Move Finder: participants shared their sporting behaviour, preferences and goals through a personal, interactive quiz. That gave Decathlon actionable member data, not as a mandatory registration step, but as part of an experience people actually liked.

The same principle applied to HEMA Stapelgek. Customers took part in a purchase-driven campaign where every interaction generated new signals: purchase behaviour, product categories, session patterns. That data stayed relevant long after the campaign ended.

The four levels of first-party data

Not all data is equal. It helps to think in four levels:

1. Identity data — who is this person? Name, email address, age bracket. This is the minimum, and the only thing many brands capture.

2. Behavioural data — what does this person do? Which pages do they visit, what do they buy, how long do they engage? This is at least as valuable as identity data, but far less often stored in a structured way.

3. Preference data — what does this person want? Quiz answers, game choices, selected product categories. This is the richest layer, because it reflects intent rather than just historical behaviour.

4. Contextual data — when and how does someone interact? Time of day, device, frequency. This helps identify the right moment for communication.

Most CRM systems are filled with level one. Brands that also capture levels two, three and four build a fundamentally different picture of their customers.

From data point to customer relationship

Data only has value when you act on it. The best-performing brands close the loop: they collect through interaction, store in a usable structure, and communicate from that profile in ways that feel relevant.

With Proximus+ World, we saw how a digital loyalty environment does not just generate engagement, it generates insight into which services subscribers valued, what they were looking for, and how long they stayed engaged. Those are precise inputs for retention strategy and up-sell communication.

For McDonald's Spain, we built a gamified loyalty world inside their app that generated daily returning users. Those sessions contained enormous amounts of behavioural data. The result was an app that felt like a destination, not an order interface.

Where the opportunities are for your brand

The biggest untapped first-party data opportunities for most brands sit in three places:

Campaigns — most activation campaigns capture only an email address. With a small adjustment to the mechanic, you can also collect preference, behavioural and profile data.

Loyalty programmes — many programmes measure purchases only. A well-designed loyalty programme also measures engagement behaviour beyond transactions: check-ins, quiz participation, content interaction.

Digital products — apps and platforms are rich data sources, but many brands never export that data to their CRM. Integration between your digital product and your marketing stack is no longer a nice-to-have. It is a baseline requirement.

At Livewall, we help brands connect these three layers through digital products, loyalty mechanics and first-party data mechanics that work together as one coherent system.