Consumer centricity is about prioritizing consumer needs in product development, support, and overall business strategy through data tracking and analysis. Businesses can use consumer-centric software to make this shift and stay competitive.

Biases can affect consumer behavior and lead to inaccurate results in consumer research. By understanding these biases, marketers and researchers can design better studies and products that align with consumer behavior and preferences.

When talking with clients about a new testing methodology and tool, there are always going to be certain questions that pop-up, so we wanted to answer all of those questions for you.

When it comes to developing a new product, it's essential to make strategic decisions that will set your product up for success. One powerful tool for achieving this is pretotyping.

When we talk about testing a target audience with Pretotyping we are taking the techniques used to test other aspects of a product, like features or pricing, and applying it specifically to finding the perfect audience for your product.

Make more informed and strategic product decisions by gaining reliable market interest data through Pretotyping. Learn how and why in this blog.

Skin-in-the-game is the concept of handing over something valuable such as money, time, information or commitment to you in support of your product.

Starting out with fake door tests can be tricky. Learn the top 5 essential steps you need to make your fake door testing successful in this blog.

The hypothesis is a framework to help you clarify what the Pretotyping test is going to be measured against. Learn how to develop an accurate hypothesis in this blog.

Fake door testing is essential to use in the continuous insights process, understanding how it fits in and the benefits of using this system is what we go through in this blog.

The data you get from fake door testing isn’t the same as anything you can expect from traditional consumer insights methods like surveys. Where those give you opinion-based data through comments or a sliding scale, fake door tests give you multiple different data points based on behaviour. In this blog we will go through the different data points you can expect to gather from fake door testing, what they mean and how to use them effectively to tell the story from the data.

38% of new products fail because of unmet consumer needs, with Pretotyping you can easily avoid this pitfall. This blog talks about how Pretotyping can deliver better consumer insights and more consumer-centric products.

Fake door tests are a quick and straightforward way to gather incredible consumer insights for making data-based strategic product decisions. At its core, you need three things, a set of ads, a landing page and an idea of what you want to test. In this blog, we will go through the process we use with our corporate & enterprise clients to ensure they are getting the most relevant and reliable insights to inform their product decisions.

This blog explores the ways in which you can integrate fake door testing into your current consumer insights process and the reasons why it should be integrated.

Consumer insights teams driven by Pretotyping see many benefits to running this style of testing. In this blog, you will find out all of the best reasons to add Pretotyping to your consumer insights process.

Choosing the right idea validation process can determine whether you launch a successful product or not. In this blog you’ll find out which validation technique is best for your business.

In this article we explain the key differences of a fake door test with landing pages over just a landing page and why you should go beyond single landing pages when testing product ideas or variants.

When a new product fails, in the majority of all cases it is because the consumer's actual need is missing. In this blog post, we explain you how you can avoid this by testing your product idea with a landing page test in 5 steps.

It gets difficult to let go of the product idea you have because of the novelty you experienced when it was conceived. We explain why it is important to overcome this and how to iterate based on real customer-data.

Product development is a tricky endeavor because it requires a lot of research, investment, and resources to do well — but it does not have to be. Learn in this blog post how to get the required data to change that.

One of the most common mistakes made by founders and product teams is building something that they thought people want, only to find out that their assumptions were wrong. Here's how to change that.

Horizon claimed victory in Best of Consulting 2020 by WirtschaftsWoche, in the category of “Technology & Innovation". Won by a landing page test case with the leading cosmetics company, cosnova, using Horizon.

How a person behaves depends on various factors and is therefore difficult to predict. However, it is important to be able to say how the user will react to the finished product even before product development.

We are super happy and proud to welcome Nikara to our team! Nikara is experienced in digital business development and previously used to work for Vodafone in New Zealand. She will support the growth of Horizon.

Popular methods to determine product success in advance are surveys or tests that reflect the opinions of the potential users. However, it would be fatal to derive a buying interest from this. Here's why.