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Horizon complements your surveys with purchase intent, measured through the behaviour of your target group in their familiar online environment.
Said and done compared. Illustration with sample values.
Your core question
How do I complement surveys so that business units base their decisions on behaviour?
What surveys do not show
In many B2C categories, stated purchase intent is far higher than what people actually do in the test, and the ranking of variants can flip. Horizon adds measured purchase behaviour to your toolkit, so business units decide based on behaviour.
Illustration with sample values.
Use cases
Your team owns the research question. Horizon delivers purchase intent from real behaviour: a separate campaign per variant, clear target metrics, benchmarking against comparable tests.
01
Validate surveys
Do customers confirm through their behaviour what they say in the survey?
02
Complement pricing research
Purchase intent from real behaviour as a complement to Van Westendorp and Conjoint.
03
Measure concepts by decisions
From liking in a concept test to measured purchase intent.
04
Build benchmarks
Every test makes future results easier to benchmark.
How a test works
Your team owns the research question and gives approval. Horizon handles setup, delivery and analysis.
Week 1
Question and variants
You bring your research question, we sharpen it 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.
During the test
During the field phase, you see live how your target group decides. All metrics per variant, from ad click to purchase or sign-up intent.
Cost per click, click-through rate and visitors per variant
Purchase or sign-up intent, statistically robust
Benchmarking against comparable tests

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

Feature test robot vacuum
kleenzo · Example
+77%
B versus A
€549
tested price
The station achieves the highest purchase intent.
Example values

Case · Consumer goods
Andros wanted to know which new flavour consumers would actually order. One offer page, with the choice of flavour after clicking “Order now”.
3,138
consumers
7 days
in field
40.3%
chose Stracciatella
Share of flavour choice
Stracciatella
40.3%
Flavour B
24.5%
Flavour C
22.4%
Flavour D
12.8%
Andros launched Stracciatella as its next flavour.

It is remarkable to see how everything comes together when real customer actions come into the Horizon dashboard in real time. That is customer centricity on the next level.
FAQ
How does this fit with our market research?
As a complement: surveys explain motives, Horizon measures decisions.
Why is stated willingness to buy not enough?
Statements in surveys can be well above later behaviour, especially for new and higher-priced products. A behavioural test measures behaviour directly.
Is anything actually sold?
No. No contract is concluded and no payment is taken. Anyone who chooses an offer is informed transparently afterwards.
What do you need from our side?
Your decision question and the variants. Horizon takes care of pages, ads, target group and analysis.
Bring your methodology questions and we will sketch a possible test design. No preparation needed on your side.
You will speak with Daniel Putsche
Founder & CEO, 30 minutes
Read more