Horizon

How freenet decided which argument goes to its customers

Three stories, one thread: decisions that usually get made on assumptions.

November 2, 2026
3

In this issue

Three stories this month, one thread: decisions that usually get made on assumptions. How freenet let its customers pick the argument for an add-on instead of deciding in a meeting. How to plan demand for a product nobody has seen yet. And a guest lecture in Munich with the CEO of Versicherungskammer Bayern on where decisions go wrong.

Daniel Putsche, Founder & CEO, Horizon

The argument you'd bet on is probably the wrong one. How freenet found out before the rollout

Cover of the freenet case study: social proof brought 3.4 times the purchase intent of Cashback

freenet wanted to offer its mobile customers add-on protection for smartphone, data and travel. Three arguments were on the table: social proof, a needs check and Cashback. Instead of deciding in a meeting, freenet let more than half a million customers decide. One argument brought 3.4 times the purchase intent of Cashback. The needs check drew twice as many visitors as Cashback, yet fell furthest behind on purchase intent.

Anke Schramm, Head of Research and Improvement, freenet
Anything that is truly new strategy belongs in a test with real customer behaviour first. Our core question in this test was whether customer-centric messaging creates more demand than product-centric messaging, and we clearly proved it.

Anke Schramm, Head of Research and Improvement, freenet

See which argument won, and why →

You can't plan demand for a product nobody has seen. Or can you?

Volume planning template with purchase intent from a test as an input

A new product has no sales history, so its volume plan rests on substitutes: look-alike products and their past sales, third-party market data, and judgment from surveys, concept tests and internal planning rounds. Each answers a different question. Look-alikes assume the new product sells like the old one, market data describes the category, surveys capture what people say.

None of them shows how customers respond to this product at this price. Yet that number drives production runs, listings and the business case. A test adds the missing input: measured purchase intent for products that do not exist yet. Our free template shows how it flows into your plan.

Get the free template →

Where decisions go wrong: a guest lecture with the CEO of Versicherungskammer Bayern

Guest lecture at WERK1 in Munich with Prof. Dr. Frank Walthes and Horizon

Prof. Dr. Frank Walthes, CEO of Versicherungskammer Bayern, one of Germany's largest insurance groups, invited Horizon into his lecture at WERK1 in Munich, together with the InsurTech Hub Munich. Together we talked about how decisions go wrong when they rest on assumptions nobody checks, from building a company to launching a product. It is the same conversation we have with leadership teams across insurance, energy, telco and consumer goods. Thank you for the invitation, it was a pleasure.

Which decision would you rather settle with your customers than in a meeting?

Bring us the decision you are least sure about. We sketch how to test it, no preparation needed on your side.

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

Book a call

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

By submitting, you agree to the processing of your details to arrange a call. Details in our privacy policy.

Request a call
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
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