General Evidence
Consumer intelligence for every team

Know what consumers actually do.

Where do customers buy instead? Which creators reach them? What do they compare before buying? Our AI agents answer the questions across marketing, category and strategy with real behavioral evidence. Ask, inspect the data and follow up.

TikTok → purchase, Germany

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.

Bartholomew is mapping the question onto the panel schema

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Customers
Goethe Institut
T-Systems
Falke
IFH Köln
Powered by the Datapods app
29,000+people in the panel, verified through connected accounts
11B+behavioral data points across 12 platforms
100%opt-in: every share is a conscious, paid decision
GDPRnative & EU-hosted. Never used to train open models.
Why General Evidence

Decisions happen every day. Consumer evidence should too.

Questions go unanswered

Category decides what to stock. Marketing decides where to spend. Strategy decides which markets to enter. Each decision benefits from knowing more about consumers. But teams cannot commission a study for every question.

The evidence is already there

29,000 consumers choose to share their searches, purchases and media habits with us, and get paid for it. General Evidence connects those records so teams can investigate what consumers do, including beyond their own website.

Observed behaviorAcross platformsOpen to follow-ups
Customers

What using it actually feels like.

It is genuinely addictive — you just keep wanting to dig deeper into the data.

Managing DirectorLeading online pharmacy

Extremely useful — above all because we can hand the insights straight to the business units.

Business DevelopmentOnline drug store

The exciting part is that you do not have to be a data wizard to work with it.

Director Data Analytics & AIMajor media company

Really smart. With classic market research numbers I am otherwise flying blind.

CMOConsumer goods manufacturer

The cross-brand customer profiles are incredibly valuable — insights we simply could not get anywhere else.

CMODirect-to-consumer food company
The platform

Ask. Inspect the evidence. Keep going.

Investigate audiences, purchase journeys and competitors in one workspace. Agents analyze the records; you inspect the findings and follow up. Reports make the evidence easy to share. Below is an illustrated view and a real study you can read in full.

TikTok → Amazon, Gen Z vs. millennials
Research report

What Gen Z buys on Amazon after TikTok, and what millennials do instead

Built by the Research Agent · n = 4,120 panellists · census weighted
Purchase within 14 days of TikTok exposure
Gen ZMillennials
Beauty
Fashion
Electronics
Home
Grocery
Finding

Gen Z converts on beauty and fashion within two weeks; millennials convert later, and mostly on electronics.

From a follow-up interview

“I saw it three times before I looked it up. By then I already wanted it.”

Panel purchases · e-receiptsTikTok watch eventsCensus weighted
Report view, illustrated. The real study is one click away.
The difference

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.

A real journey from the panel
Day 1Google search“best espresso machine 2026”
Day 3YouTube reviewComparison video, watched 14 min
Day 5Instagram adYour campaign, seen 2×
Day 6Price comparisonAmazon ↔ MediaMarkt, 3 product pages
Day 9Purchase at the competitorE-receipt: €649
Day 10AI interview“What tipped the scales in the end?”

And we can ask at every step.

AI Research Agent

Consumer intelligence in your daily work.

Ask where customers go, what they compare or which media they use. Agents investigate the linked records. Inspect the findings and follow up until you have evidence you can act on.

More about the Research Agent

How does the customer journey for espresso machines differ between MediaMarkt and Amazon?

Research AgentAsk
No brief, no screener, no fielding window.
Which touchpoints lead to purchase, and how do new and returning customers differ?
Built for every team

Every team asks something different.

The real journey, observed step by step. No journey reconstructed from memory weeks later. Observed paths, step by step.

The panel

The data comes from the people it belongs to.

People connect accounts through our apps, Datapods and Stack, and get paid for sharing. Connections can bring years of history; regular updates extend the record. We link searches, purchases and media use into a dataset our agents can investigate.

Verified through connected accounts

Purchases, searches and media use come from the source, not self-reporting.

Paid through the data dividend

Sharing data earns money. Daily, transparent, fair.

Disconnectable at any time

Every source can be revoked with one tap. GDPR-native, EU-hosted.
Featured in
WirtschaftsWocheGeneral-AnzeigerWDRT-Challenge
GDPR & Consent

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.

EU-hosted, GDPR-native

Processed in the EU and built to European law from the start, not retrofitted into compliance.

Never used to train open models

Panel data does not leave the platform as training material. No exceptions, no small print.

Revocable at any time

Every source can be disconnected with one tap, and nothing after that point is collected.

Ask your first question this week.

Bring a question from your daily work. See what consumer evidence can add to the decision.

Book a demo