Answers from what your customers actually did.
25,000 people in Germany share their purchases, searches and media use with us: verified, opt-in, paid. Ask a question and our AI agents answer it from that behavior. Hours, not six weeks.
Which TikTok users actually buy afterwards, and how do they differ from heavy users who never convert?
The data is there: TikTok sessions, product searches, Amazon orders. Starting four agents in parallel.
Bartholomew mapped the question onto the panel schema.
Andrey cut 845M TikTok events into converters and heavy users who never buy.
Fridtjof checked the category against public market data.
Erasmus built the report from it: 6 sections, 5 charts, sources.
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The old way. And ours.
You commission an agency. Six weeks and €30–60k later, you get a PDF of what 5,000 strangers claim to remember. At that price, companies ration research to a handful of questions a year.
The same question, answered from the observed behavior of 25,000+ consenting consumers. A survey gives you an estimate of the truth. Our data is the log of what actually happened.
What using it actually feels like.
It is genuinely addictive — you just keep wanting to dig deeper into the data.
Extremely useful — above all because we can hand the insights straight to the business units.
The exciting part is that you do not have to be a data wizard to work with it.
Really smart. With classic market research numbers I am otherwise flying blind.
The cross-brand customer profiles are incredibly valuable — insights we simply could not get anywhere else.
One question in. One sourced report out.
The Research Agent builds the whole thing off the panel: audience, analysis, charts, quotes, sources. Here is the shape of it, and a real study you can read in full.
What Gen Z buys on Amazon after TikTok, and what millennials do instead
Built by the Research Agent · n = 4,120 panellists · census weightedGen Z converts on beauty and fashion within two weeks; millennials convert later, and mostly on electronics.
“I saw it three times before I looked it up. By then I already wanted it.”
Not claimed. Observed.
Other panels know that a purchase happened. We see the whole path to it: every search, every review, every ad, every price comparison. And the moment someone switches brands.
And we can ask at every step.
Your research team in one chat.
For everything that doesn't need a full study. Ask the panel directly, and a team of AI agents does the analysis, the research and the write-up.
How does the customer journey for espresso machines differ between MediaMarkt and Amazon?
Every team asks something different.
The real journey, observed step by step. No journey reconstructed from memory weeks later. Observed paths, step by step.
Nobody in this panel is a professional respondent.
They are people who use the Datapods app to collect their own data from Google, Amazon, TikTok and the rest, and get paid for sharing it. Opt-in, revocable at any time. That is exactly why the data holds.
Clean data. Shared on purpose.
Every data source in the panel is a conscious decision: connected source by source, paid through the data dividend, revocable at any time.
Real consumer behavior, fresh from the panel.
Daily-updated statistics on consumption, digital habits and media: from 25,000+ consenting panelists in Germany. Citable, free, no signup.
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