How to design a campaign that collects data without feeling intrusive

Brands that want to collect data through campaigns keep running into the same wall: people skip the form, ignore the quiz, or leave the moment they see a registration gate. Not because they are not interested. Because the exchange is off. They are giving something, their details, their time, their behaviour, and not getting anything back that they actually want.

At Livewall, we have spent years building campaigns and activations where data collection is part of the experience, not a gate in front of it. What we consistently find: when the value is clear and the interaction feels fun or genuinely useful, people share their data willingly. And they come back.

This article is a practical framework for designing that exchange well.

Start with what the participant gets

The most common mistake is starting with what the brand wants to know. That produces forms designed from the brand's perspective, not the user's.

Start with the participant instead. What is valuable to them in the context of this campaign?

It could be:

• A personal outcome — advice, a recommendation, a profile built around them
• The play itself — a game or quiz where the questions happen to generate data
• A real chance to win — if the odds feel honest and the prize is relevant
• Access to something — exclusive content, early entry, a special experience

If none of these are present, you are essentially sending people a survey. Expect survey-level response: low, shallow, and reluctant.

Let the data moment coincide with an experience moment

The best first-party data mechanics are invisible as data collection. They feel like part of the experience itself.

An example: asking a user "How often do you exercise?" reads as a survey question. Asking that same question as part of a sports profile that unlocks your game level reads as personalisation. The data is identical. The context is everything.

This is exactly what we saw with Decathlon Game. By having participants build a personal sports profile through an interactive questionnaire, we collected rich preference data that fed directly into better in-store recommendations. People completed it because the outcome was useful to them.

Only ask for what you actually use

Every extra field in a form has a cost. You pay it in drop-off. But there is a subtler consequence: if you ask for information you visibly do not use in what follows, it feels dishonest. People notice when they enter their birth date and then receive a generic confirmation email.

The rule we apply: only ask for what you give back in the experience. Asking for age group? The campaign outcome should visibly reflect it. Asking for favourite product category? Use it in the personalisation that follows.

This approach not only improves conversion on data collection. It improves data quality. People who understand why a question is being asked give more accurate answers.

Build return into the mechanic itself

Single-session campaign data is useful. Returning behavioural data is valuable. The difference is in how you build the campaign.

With HEMA Stapelgek, the daily return moment was embedded in the mechanic itself. Not through push notifications, but through a layered game structure that always had something new to discover. Every return session generated new data, but felt to the user like starting a new round.

This is the principle of progression. People come back when there is something to complete, discover, or win. Build that in and retention becomes a byproduct of the experience, not a separate problem to solve.

Transparency is not a risk, it is an advantage

Many brands are afraid to be explicit about data collection. That instinct is understandable but it is the wrong reflex. People are not afraid of data collection when they understand what happens with it and receive something real in return.

Just say it. Not in legal language, but as part of the promise: "Based on your answers, we build a personal recommendation." Or: "Your play style shapes what your profile looks like."

This approach works with how successful interactive campaigns operate. The value exchange is explicit, consent is active, and the trust you build becomes the foundation for a longer relationship.

Personalisation as social proof

An underused mechanism: when people want to share their result or profile, that is the strongest signal the exchange worked. In the Martin Garrix Dream Team campaign that Livewall built, participants assembled a personal track team from their Spotify listening history. Not because the brand prompted them to share, but because the result felt personal enough to be worth showing.

That is the endgame of good data collection through campaigns: an experience so relevant that people voluntarily spread it further.

A practical checklist for your next campaign

Before you finalise the data collection design for a campaign, run through these questions:

1. What does the participant get back? Name it concretely, not as a vague promise.
2. Does the experience use the data you ask for? If the answer is no, cut the question or build the personalisation in.
3. Does the data moment feel like part of the experience? Or is it a separate step that breaks the flow?
4. Is there a reason to come back? Progression, new content, another round?
5. Can someone share the result? And would they actually want to?

At Livewall we use these questions as a design filter. Not every campaign needs to satisfy all five, but if you cannot answer any of them well, you know where the problem sits.

Well-designed brand activations give people the sense that participation pays off. Data collection is not the goal of the campaign. It is the byproduct of an exchange that works.