Horizon

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Know what customers will pay more for. Before you develop.

Test features and capabilities against purchase decisions before development and production are fixed.

kleenzo.com/robot-vacuum
kleenzoProducts · Accessories · Service
ROBOT VACUUM

Vacuums and mops, empties itself.

Self-empty station included
Obstacle detection
Mopping function

€549 incl. VAT

Add to basket
Feature variantsTEST COMPLETE
A · Basic without station2.2%
B · With self-empty station3.9%
C · With mop lift3.0%

The self-emptying station achieves the highest purchase intent, ahead of the mop lift.

Consumers decide in their familiar online environment

Conjoint and behavioural test

See which feature earns its premium.

Conjoint and MaxDiff show how customers weight features. Whether a feature earns its higher price only shows in measured purchase intent: the same product with and without the feature, at different prices. This shows you what belongs in the standard version, what belongs in the premium variant, and what you can cut.

Purchase intent per feature set and price

Without self-empty station

With self-empty station

€449

3.1%

Purchase intent

4.0%

Purchase intent

€549

1.9%

−39% at the higher price

3.6%

only −10% at the higher price

With the station, the higher price barely loses purchase intent, without it, almost 40%. The station earns its premium.

Bosch

Case · Home appliances

New colours. The strongest with almost three times the demand.

Bosch wanted to know which new colour variant could extend the product line of an existing product. Same ad, same offer page, only the colour changes.

1,674

consumers

7 days

in field

2.8x

Demand, strongest versus weakest

Read case →

Purchase intent per colour (add to basket)

Strongest new colour

15.4%

Weakest new colour

5.5%

Basis for the decision to extend the product line.

Typical questions

Which feature question is on your agenda?

For product management and development: before the roadmap and production are fixed.

01

Which feature counts?

What triggers the purchase decision?

02

Basic or premium?

What belongs in which feature set?

03

What can it cost?

Which premium does a feature earn?

04

What can go?

Which feature does nobody miss?

05

In which order?

What goes on the roadmap first?

06

Per market?

Do features differ by country?

Methods compared

MaxDiff, conjoint or behavioural test?

Every method has its strength. Horizon complements surveys where the final decision is at stake.

MaxDiff / Kano

Conjoint

Horizon

Basis

Prioritisation in a survey

Choice between profiles

Purchase or sign-up decision in an online environment

Strength

Many features, fast

Trade-offs between attributes

Real behaviour with few variants

Best for

Shortening the longlist

Attribute weighting

The final feature decision

How a test works

A robust decision in four weeks.

Your effort: a briefing, product images and four short meetings. The Horizon team takes care of the rest.

Week 1

Question and variants

You bring your variants, we sharpen the question and define up to six variants.

Week 2

Ads and offer pages

Horizon builds realistic ads and offer pages, with your brand or a brand developed specifically for the test.

Week 3

7 days in field

Your target group sees the offer in their familiar online environment and decides. You follow everything live.

Week 4

Result and data analysis

Purchase or sign-up intent per variant, statistically robust, as a data analysis for your decision.

No items found.

To take away

What your result looks like.

This is what a Horizon results report looks like: question, variants, purchase or sign-up intent and data analysis on just a few pages.

Horizon
Sample report

Feature test robot vacuum

kleenzo · Example

Purchase intent per variant
A · Basic2.2%
B · Self-empty station3.9%
C · Mop lift3.0%

+77%

B versus A

€549

tested price

The station achieves the highest purchase intent.

Example values

FAQ

Frequently asked questions.

How many features can be tested?

Up to six variants per test. We shorten a long feature list with you beforehand, or with existing research.

feature-decisions

Can we test products that do not exist yet?

Yes. Renderings are enough. Nothing is actually sold.

feature-decisions

Can the test run without our brand?

Yes. You test with your brand or with a brand developed specifically for the test.

feature-decisions

How does this fit with conjoint or MaxDiff?

As a complement. These methods prioritise many features, Horizon tests the variants that end up as the final choice.

feature-decisions

Let's talk about your next decision.

You bring your feature question, we sketch a possible test design. No preparation needed on your side.

Daniel Putsche

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

Read more

Thank you, we have your request.

We will get back to you within one working day with suggested times.

Close

Demo · Video

A complete test, from design to data analysis

Play the demo

Chapters: test design · offer pages · live data · result

Book a call

First call

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30 minutes, your decision question, a possible test design. No preparation needed on your side.

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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.

12 pages, as a PDF to share internally
Free, download right after a short form
Note