Loyalty data enrichment: turning play into CRM intelligence

Most brands treat data collection and customer engagement as two separate problems. They send profile surveys by email. They ask for preferences at sign-up. They add a form at the end of a campaign. The result is low completion rates and data that tells you very little about what customers actually want.

There is a better approach. When you build gamification into a loyalty programme, participants reveal their preferences while they play. They choose a challenge. They pick a reward category. They play a mini-game built around a product theme. Every one of those choices is meaningful data, collected with consent and without friction.

At Livewall, we call this loyalty data enrichment: systematically building out customer profiles through participation rather than questionnaires. It is one of the most powerful and least-used capabilities of a well-designed loyalty programme.

Why play works so well for data collection

Surveys ask for conscious, explicit input. Play asks for choices. That is a fundamental difference.

If you ask a customer which sport they prefer, they give you a socially acceptable answer. If that same customer has to choose between a running challenge and a cycling route inside a game, they pick what they genuinely want to do. The difference in data quality is significant.

Game mechanics that work particularly well for loyalty data enrichment:

Preference choices baked into gameplay. Let participants choose which mission to complete, which reward to chase, or which game variant to play. Each choice is a signal.

Progression and streaks. Which categories does someone visit weekly? Where do they drop off? The sequence and rhythm of engagement says more than a self-reported preference ever could.

Collection mechanics. When customers complete collection tasks around specific product categories, you can see exactly which categories activate them. Not what they say they want, but what they actually do.

Social sharing behaviour. Who shares what, and with whom? That tells you something about identity and social context, two dimensions almost entirely absent from standard CRM data.

Connecting play data to CRM intelligence

Play data is only valuable if you can activate it. That means your loyalty platform architecture needs to be set up for data flow into your CRM or data layer from day one.

What we have found works in practice at Livewall:

Event tags per action. Every in-game interaction generates an event with context: which challenge, which category, which reward. Those events are stored as profile attributes, not as loose transactions.

Segmentation based on play behaviour. After a few weeks you can identify clusters: the customer who always picks the running challenges versus the one focused on cycling and outdoor. Those segments drive personalised communications far more relevant than demographic segmentation alone.

Intent signals as CRM triggers. If someone views a reward category three times but never redeems, that is an intent signal. A well-built loyalty architecture connects that signal to an automated trigger in your CRM.

This is exactly the approach we used for HEMA Stapelgek, where app interactions were translated into insights about customer engagement across product categories and visit frequency.

Consent and transparency: the foundation of trust

Loyalty data enrichment only works when participants understand what is happening and agree to it. That is not a compliance question, it is a design question.

We always recommend making the value exchange explicit. Not as legal disclaimers, but as brand messaging: 'The more we know about you, the better we can tailor your rewards and experiences.' Customers understand that. They accept it willingly, as long as the exchange feels fair.

In practice that means:

• Asking for consent during programme onboarding
• Being transparent about how profile data personalises the play experience
• Giving customers the option to view and update their preferences

The Proximus+ World experience shows how a brand environment can build a rich data layer while keeping the customer experience at the centre. It is not about exploiting data, it is about building a better relationship.

From data to action: three levels of CRM intelligence

Not all play data carries equal value. At Livewall we distinguish three levels:

Level 1: Category preferences. Which product categories, services, or themes activate someone? This is the basic enrichment most programmes can start applying right away.

Level 2: Behavioural patterns. When is someone active? How do they respond to time pressure versus open challenges? Do they prefer competition or individual progression? These patterns determine not just what you communicate, but how and when.

Level 3: Intent signals. This is the richest data: a customer who consistently completes challenges in a specific category but has not yet purchased is ready for a conversion offer. A customer who stops playing after a specific reward interaction probably had a frustrating experience worth investigating.

Moving from level 1 to level 3 requires technical investment but also a shared vision between your loyalty team and your CRM or data team. That is where Livewall often acts as the connective layer, from loyalty programme design through to the technical architecture that makes data actionable.