vendredi 18 août 2017

Multivariate testing

AB Tasty, for example, makes it easy for any marketer to jump into multivariate testing and helps you gain valuable customer insights for you to make the right decisions. Dans le domaine de l’online marketing, le multivariate testing désigne une méthode de test destinée à améliorer l’utilisabilité d’un projet Web. Elle consiste à modifier plusieurs éléments et à les présenter sous différentes formes à l’utilisateur : l’objectif est de sélectionner la combinaison qui promet le plus de succès.


L’objectif du multivariate testing est de déterminer quelle combinaison de variations est la meilleure parmi toutes les combinaisons possibles. The goal of multivariate testing is to find the most effective combination of variables from all possible options.

Limits of multivariate tests The first limit concerns the volume of visitors to subject to your test to obtain usable. Multivariate Testing Multivariate Tests Defined. The application of multivariate statistics is multivariate analysis. The practical application of multivariate statistics to a particular problem may involve several types.


Run AB testing on your website and see which variants have the best outcome. No installation required. See immediately.


Cette technique peut être utilisée sur site web et applications mobiles.

Think of a multivariate test as a system that automatically creates all possible combinations to help you find the best outcome. So on the surface, it sounds appealing. You are performing a far more subtle test of the elements inside one web page.


A multivariate test, then, is a test that tests multiple variants of variables found on a page or website. To expand on our example, we might want to find the right hero image and headline on our landing page. But that is the easy part! Many companies ultimately fail when designing successful test scenarios, assessing , and creating meaningful follow-up tests.


This means there’s a lot bigger chance that mistakes or errors can occur in the reporting. You can think of a webpage as a collection of elements: images, buttons, text, etcetera. If your goal is to make money through your website, you need to track your “call to action” button, as “Buy Now”. So for example, in multivariate test you can choose to create different variations for different sections: headline and image. Beispielsweise können für Fahrzeuge die Variablen Anzahl der Sitze, Gewicht, Länge usw.


On l’a dit, le test multivarié permet d’affiner l’analyse des résultats, en isolant les différentes composantes des modifications que l’on teste. To get an edge over the competition, make minor adjustments and retest. Your conversion rate will slowly creep up while theirs remains stagnant.


You’ll discover a number of key benefits to multivariate. With multivariate testing these content changes can be broken up into multiple individual elements to determine combinations that yield the highest conversion rates.

Learn how to utilize multivariate testing. Then multivariate testing is the go-to method for you. So, which of these two methods is best suited to help you increase your website conversion rate? Test multiple elements simultaneously — including image, layout, background colour, copy and so on — to not only find the the most effective combination, but to understand which elements are contributing the most to customer success.


Le test multivariables (MVT pour MultiVariate Testing ) est en effet dorénavant à la portée de (presque) tous, et son efficacité (pour peu qu’il soit effectué dans les règles de l’art) n’est plus à démontrer. When trying to optimize your website, you will likely engage in multivariate testing , which is also known as “multi-variable testing. In this type of testing , you seek to test multiple elements on your website simultaneously instead of a single item at a time.


I favour usability testing for identifying problems and testing prototypes because I learn more from the experience. It is also absolutely invaluable when different stakeholders.

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