Market validation

Beautiful is not enough. Qupzi must be understood, wanted and paid for.

This page collects early market signals: clarity, interest, price feeling, purchase intent, audience and edition potential.

Clarity

Can a visitor explain what Qupzi does within a few seconds?

Purchase interest

Is the curiosity strong enough to try a first bottle?

Price feeling

Which price range feels everyday-ready and where does premium begin?

Repeat potential

Which editions and occasions could create repeat purchase?

Why this matters

Market signals shape the growth logic.

Market validation should show which audiences understand the product moment quickly, which editions create purchase interest and which price points feel viable for retail, online distribution and partner campaigns.

Clarity within seconds
Accepted price range
Purchase and recommendation intent
Prioritized editions
Signals for retail and partner conversations

Feedback

Structured market validation

The questions stay short, but the answers are now stored in a cleaner structure so Qupzi can compare clarity, demand, price feeling and partner potential over time.

Which perspective best describes you?Most relevant use caseHow well did you understand Qupzi?How strong is your interest?Who would Qupzi be interesting for?Acceptable price per bottleWould you buy Qupzi?Would you recommend it?

Which edition would be most exciting? What should be strongest in the real product? What matters most to you?

First name optionalEmail optional

Optional name or email only helps if you want to be reachable for follow-up questions.

I agree that my details may be processed for market validation and may be evaluated in aggregated form for pilot, partner and investor discussions.

The export is designed for aggregated validation signals. It does not publish personal details and does not require sensitive technical or financial information.

Direct feedback by email: feedback@qupzi.com

Export-ready signals

Feedback becomes comparable evidence.

Every submitted response is stored with a schema version, language, page source, audience, use case, price band and numerical signal fields. This makes later CSV export easier for IFB documentation, investor conversations and pilot prioritisation.

Clarity scoreInterest scorePurchase signalRecommendation scoreEdition preferenceUse-case fit

What the feedback decides

Every answer helps sharpen the pilot.

Feedback is used to understand which message is clear, which audience reacts first and which product routes deserve priority before physical pilot work is scaled.

Message fit

Do people understand the A/B/C bottle logic without needing a pitch?

Audience fit

Consumers, families, students, brands and partners may respond to different use cases.

Edition fit

Hamburg, quiz, learning, event, sports and brand editions can be compared before launch.

Price signal

Early price perception helps separate everyday, premium and partner campaign formats.