Whois & Analysis for webinstats.com

In marketing and business intelligence, A/B testing is a term for a randomized experiment with two variants, A and B, which are the control and variation in the controlled experiment.

A/B testing is a form of statistical hypothesis testing with two variants leading to the technical term, two-sample hypothesis testing, used in the field of statistics.

Other terms used for this method include bucket tests and split.run testing.

These terms can have a wider applicability to more than two variants, but the term A/B testing is also frequently used in the context of testing more than two variants.

In online settings, such as web design (especially user experience design), the goal of A/B testing is to identify changes to web pages that increase or maximize an outcome of interest (e.g., click-through rate for a banner advertisement).

Formally the current web page is associated with the null hypothesis.

A/B testing is a way to compare two versions of a single variable typically by testing a subject's response to variable A against variable B, and determining which of the two variables is more effective.

Market segmentation is the process of dividing a broad consumer or business market, normally consisting of existing and potential customers, into sub-groups of consumers (known as segments) based on some type of shared characteristics.

In dividing or segmenting markets, researchers typically look for shared characteristics such as common needs, common interests, similar lifestyles or even similar demographic profiles.

The overall aim of segmentation is to identify high yield segments – that is, those segments that are likely to be the most profitable or that have growth potential – so that these can be selected for special attention (i.e. become target markets).

Marketing is the study and management of exchange relationships.

The American Marketing Association has defined marketing as "the activity, set of institutions, and processes for creating, communicating, delivering, and exchanging offerings that have value for customers, clients, partners, and society at large.".

Personalization, sometimes known as customization, consists of tailoring a service or a product to accommodate specific individuals, sometimes tied to groups or segments of individuals.

A wide variety of organizations use personalization to improve customer satisfaction, digital sales conversion, marketing results, branding, and improved website metrics as well as for advertising.

Personalization is a key element in social media and recommender systems.

Analytics is the discovery, interpretation, and communication of meaningful patterns in data.

Especially valuable in areas rich with recorded information, analytics relies on the simultaneous application of statistics, computer programming and operations research to quantify performance.