Horizon

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Budget only for offers customers want.

Before budget is approved, a test shows whether customers would buy or sign up. That way you approve budget based on customer behaviour, not on assumptions.

Investment proposals · Quarter

Purchase intent in test · Benchmark 2.5%

Premium subscription for existing customers

Budget request €1.8m

Approve

3.8%

Smart home bundle

Budget request €2.6m

Stop

1.4%

New family plan

Budget request €0.9m

Refine

2.3%

Three proposals, one yardstick: budget only with evidence. Illustration with sample values.

Your core question

How do I make sure we only invest in offers that customers actually buy?

Where capital is lost

Budget is committed long before customers act.

In most companies, the money for development, IT and brand is spent in the first year. The first real customer signal comes after launch. A test before approval brings that signal forward.

M0M6M12M18M24HeuteEntwicklung, IT und Markeerstes KundensignalMit HorizonKundensignal nach rund 4 WochenFreigabe mit Beleg
M0M6M12M18M24TodayDevelopment, IT and brandfirst customer signalWith HorizonCustomer signal after around 4 weeksApproval with evidence

Schematic timeline.

Use cases

What changes for management and the board.

You approve budget. Horizon makes sure evidence from real customer behaviour is on the table first.

01

Approvals with evidence

For major investments, your teams present a test, not just a business case.

02

Fewer false starts

Weak initiatives are stopped before development, IT and brand are committed.

03

One yardstick for every business unit

The same metrics and the same logic across business units and markets.

04

Faster to a decision

Around four weeks to evidence instead of months of internal alignment.

How a test works

A robust decision in four weeks.

What you get at the end: a clear data analysis to base your decision on. Your team provides a briefing and product images, Horizon takes care of the rest.

Week 1

Question and variants

You bring the upcoming investment decision, 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.

During the test

Results in real time.

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 with statistical validation

Benchmarking against comparable tests

app.gethorizon.net
Horizon dashboard with metrics per variant

After the test

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

Market test hardshell jacket

nordgrat · Example

Purchase intent per market
A · Germany3.1%
B · Netherlands3.8%
C · France2.4%

+23%

NL versus DE

3

markets in parallel

NL shows the highest purchase intent.

Example values

Case · Global sports brand

Four tests, one product customers buy.

A global sports brand had lost over €100,000 on development and market launch with an earlier concept, because surveys promised more demand than actually materialised. For its next shoe, it tested every major decision in advance.

4

tests

18,868

consumers

4.2 days

average field time

Read case →

Test sequence before launch

Test 1 · Concept

Which concept generates the highest purchase intent?

Test 2 · Colours

Which colour variants do early buyers purchase?

Test 3 · Price

Which price works without damaging perceived value?

Test 4 · Value proposition

Which promise does the shoe go to market with?

Weak variants were stopped before any investment in tooling and inventory.

Philipp Köhler

We want to base our decisions on sound data and consumer feedback. With Horizon, we can validate corporate strategy and innovation questions earlier than before using behavioral data from real consumers.

ALH Gruppe
Philipp Köhler
Former Head of Strategic Innovation Management, ALH Gruppe
pricing, management

FAQ

Frequently asked questions.

How quickly is data available for a decision?

Around four weeks from question to data analysis.

management

How is the test approved internally?

Once. Legal, data protection and procurement align in parallel with the first test design, not again for every single test. Horizon provides the imprint and privacy policy for the test pages, and nothing is sold.

financial-services, management

How much effort is it for our teams?

Very little. Your teams provide product images and specifications and sign off at a few points. The Horizon team takes care of design, build, execution and analysis.

pricing, management

Can I start small?

Yes. We plan the scope together based on the decisions you are facing today. The number of tests is a guide for scope and pricing, not a fixed limit. More teams and questions follow once the first results are in.

pricing, management

Let's talk about your next decision.

Bring your investment decision and we will 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

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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