A/B testing is a method for the data-driven optimisation of products, websites, marketing campaigns or user interfaces. It involves testing two versions of an element – Version A and Version B – simultaneously to determine which version achieves better results.
The target audience is randomly divided into two groups, each of which is shown one of the variants. Relevant metrics are then analysed, for example:
- Click-through rate (CTR)
- Conversion rate
- Length of stay
- Registration or purchase transactions
Based on the results, companies can make informed decisions and improve their offerings in a targeted manner. A/B testing reduces reliance on guesswork and enables optimisations to be made on the basis of real user data.
A/B testing is a vital tool, particularly for start-ups and innovation-focused companies, for quickly validating new ideas and minimising risks when making product or marketing decisions. innoWerft helps companies to test innovative concepts at an early stage, systematically analyse user feedback and make data-driven decisions for the further development of products and business models.