Insight from Real behavior
Most research methods ask people what they do. But what people say they do and what they actually do is often further apart than you think. People forget, misjudge, or give the answer that is socially desirable. My-Habitz solves this by not asking, but measuring.
What passive data is
Through our app My-Habitz, consumers share their daily habits: which stores they visit, where they go, what their patterns look like. That data is collected in the background, while people just go about their lives. No questionnaire they have to fill in, not a moment when they stop to think. Just real behavior, as it occurs.
Why it's valuable for you
Real behavior, not memory
You see what people actually do, not what they remember afterwards. This makes your insights more reliable and your decisions sharper.
A continuous view
Passive data is not a snapshot but a continuous flow. You see patterns emerge, change and return over time, instead of one photo at one moment.
Reach and scale
Together, our participants have already recorded more than 60,000 measurements, spread over thousands of locations: supermarkets, gyms, hardware stores, garden centers and more. That gives you a rich picture.
Less burden, fairer data
Because participants hardly have to do anything, they stay engaged longer and you get data that is not skewed by survey fatigue.
Carefully and with permission
Passive data is only worth something if it is collected fairly. Participants participate voluntarily and are rewarded for what they share. All data is anonymized and is stored GDPR-proof in a secure environment, never traceable to a person. This gives you the richness of behavioural data, with the certainty that goes with it.
At its strongest in combination
Passive data shows what people do. Our researchers show why. By combining behavioral data with targeted research, you not only get the pattern, but also the meaning behind it. That's where passive data and craftsmanship together yield the most.
What
Passive data shows what people actually do, measured in real life.
Why
Our researchers give meaning to the pattern, with targeted research into the why.
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