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Pretotyping and A/B tests in the shop: when each method fits.

An A/B test in the shop optimises variants of an existing offer with live traffic. Pretotyping decides whether an offer holds up at all before it is built. Horizon runs pretotyping as a painted-door test.

Compared

Two methods, two strengths.

Both compare variants on behaviour. The difference lies in the timing: optimising what is already live or deciding before investing.

A/B test in the shop
Pretotyping
Question
How can an existing offer work better?
Does an offer hold up before it is built?
Who acts
Visitors to your own shop or app, organic or via ads
Consumers in their familiar online environment, reached through Google and Meta ads, with no panel and no incentive
Prerequisite
Every variant must be live and deliverable
No finished product needed, no change to your infrastructure
What is measured
Purchases, clicks and conversions in the live system
Purchase or sign-up intent as behaviour: a click on buy or sign up, email and confirmation
Risk
Existing customers see the variants
Under your brand or a purpose-built test brand
Typical use
Optimising pages, flows and details
Testing offer, price, value proposition and target group before launch

Context

Where the methods differ.

Timing

An A/B test requires a finished offer. Pretotyping takes place before the investment.

Question

An A/B test answers the how. Pretotyping answers the whether.

Environment

An A/B test runs in your own shop or app, with organic or paid traffic. Pretotyping runs on dedicated test pages outside your infrastructure and reaches precisely the target group in question.

Combination

Combining both methods.

Step 1

Pretotyping

Test offer, price and value proposition before building.

Step 2

Decision

Build the leading variant.

Step 3

Launch

Take the offer live.

Step 4

A/B test

Optimise pages and flows in live operation.

More comparisons

Pretotyping compared with other methods.

Method

Pretotyping and conjoint

Weighting features in a survey or testing variants on behaviour.

To the comparison

Method

Pretotyping and surveys

Stated willingness to buy or measured purchase intent.

To the comparison

Method

Pretotyping and Van Westendorp and Gabor-Granger

Stated willingness to pay or prices compared on behaviour.

To the comparison

Method

Pretotyping and concept tests

A rating in a survey or measured purchase intent in the online environment.

To the comparison

Method

Pretotyping and synthetic respondents

Simulated answers or the behaviour of real people.

To the comparison

Provider

Horizon compared with providers.

Provider

Horizon and Prelaunch

Reservations with a deposit and a behavioural test without payment.

To the comparison

Provider

Horizon and Zappi

Standardised concept and ad tests and a behavioural test.

To the comparison

Provider

Horizon and Veylinx

An auction within the study flow and a behavioural test in the buying situation.

To the comparison
All comparisons

FAQ

Frequently asked questions.

Isn't pretotyping also an A/B test?

In its set-up, yes: variants are split randomly and one variable changes. The difference is the timing: pretotyping does not need a finished product.

pretotyping-vs-ab-testing

Does Horizon optimise our existing pages?

No. Classic conversion optimisation of pages is the domain of agencies and A/B tools. Horizon comes from the product side.

pretotyping-vs-ab-testing

Is anything sold with pretotyping?

No. No contract is concluded and no payment is taken. Anyone who chooses an offer is then told transparently that the offer is not yet available.

pretotyping-vs-ab-testing

How long does a test with Horizon take?

Around four weeks from question to data analysis, depending on the target group and the number of variants.

pretotyping-vs-ab-testing

Which method fits your question?

Bring your decision question and we will show you which method fits and how the two work together. Your insights team is welcome to join.

Daniel Putsche

You will speak with Daniel Putsche
Founder & CEO, 30 minutes

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SAMPLE REPORTExample

Sample report: insurance

Data analysis · Test design · Metrics · Methodology

Sample report

Sample report: insurance

A complete results report with example values: research question, test design, purchase intent per variant and the data analysis.

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