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ReportTikTok-to-purchase: German converters vs. heavy non-converters
TikTok-to-purchase: German converters vs. heavy non-converters
v1·14 Sep 2026
Executive Summary
Among TikTok users in the panel, the likelihood of buying within seven days of a session peaks in the 2–7 hour weekly tier (19.7% of 16–29 year-olds) and falls to 6.1% above 15 hours. Heavy use goes with longer sessions, not with more orders.
Converters differ less in how much they watch than in what they do first: most had searched the category on Google Search or Amazon in the preceding week. For media planning, reach among moderate users with an active search is worth more than frequency among heavy users.
Key Takeaways
Takeaway 1Moderate users convert bestThe 2–7 hour tier buys at more than twice the rate of users watching 15 hours or more.
Takeaway 2Search comes firstMost converters searched the category in the week before their order.
Takeaway 3Heavy users watch, not buyAbove 15 hours a week, sessions get longer and purchases get rarer.
Data Sources and Coverage
All figures come from panelists who share both their TikTok data and at least one shopping source. The sample is census-weighted on age, gender and region.
Source
Panelists
Records
Period
TikTok watch history
4,812
845M events
Jan–Aug 2026
Amazon orders
3,960
1.2M orders
Jan–Aug 2026
Google Search
4,407
38M queries
Jan–Aug 2026
Findings
Watch time does not predict purchase
Purchase rates rise from the lightest tier to the 2–7 hour tier, then fall steadily. The pattern holds in both age groups; the drop is steeper among 16–29 year-olds.
Figure 1
Share who bought within 7 days of a TikTok session, by weekly watch time
In follow-up interviews, heavy users described TikTok as a way to switch off. Moderate users more often opened it with a purchase already in mind:
“I buy through TikTok when I'm already looking for something. When I'm just scrolling, never.”
Discussion & Implications
Planning TikTok budgets on frequency puts a disproportionate share of spend against the users least likely to buy. A search signal from the week before separates converters far better than any level of use.
Customers
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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
Surveys hear what people say. We see what they do.
What a survey hears
“I compare prices before I buy, and I stay loyal to brands I like.” Most consumer research runs on answers like this: recalled, rounded and filtered through how people like to see themselves.
What the panel shows
The same person searched the category, watched two reviews on YouTube, saw your ad twice, compared prices and bought from a competitor. 29,000 people in Germany share this record with us and get paid for it, so every answer starts from behavior.
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. millennialsGeneral Evidence
ContentsExecutive summaryWho converts after TikTokHeavy users who never buyCategory breakdownRecommendations
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.”
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.
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.
