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Software as a service (SaaS / s æ s / [1]) is a cloud computing service model where the provider offers use of application software to a client and manages all needed physical and software resources. [2] Unlike other software delivery models, it separates "the possession and ownership of software from its use". [3]
A notable practitioner of the good–better–best pricing strategy is Apple Inc., which originally sold one model of iPhone in 2007, but by 2020, had adopted the practice of introducing good, better, and best models of iPhone and Apple Watch. Apple's competitors, such as Samsung Electronics, followed suit. [8]
The subscription business model is a business model in which a customer must pay a recurring price at regular intervals for access to a product or service.The model was pioneered by publishers of books and periodicals in the 17th century, [1] and is now used by many businesses, websites [2] and even pharmaceutical companies in partnership with governments.
The pricing model for SaaS applications is typically a monthly or yearly flat fee per user, [65] so prices become scalable and adjustable if users are added or removed at any point. It may also be free. [ 66 ]
Cost per action (CPA), also sometimes misconstrued in marketing environments as cost per acquisition, is an online advertising measurement and pricing model referring to a specified action, for example, a sale, click, or form submit (e.g., contact request, newsletter sign up, registration, etc.).
According to The NIST Definition of Cloud Computing, [3] there are three service models associated with cloud computing: infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS). The concept of ITaaS as an operating model is not limited to or dependent on cloud computing.
Cost per lead, often abbreviated as CPL, is an online advertising pricing model, where the advertiser pays for an explicit sign-up from a consumer interested in the advertiser's offer. It is also commonly called online lead generation .
Price optimization utilizes data analysis to predict the behavior of potential buyers to different prices of a product or service. Depending on the type of methodology being implemented, the analysis may leverage survey data (e.g. such as in a conjoint pricing analysis [7]) or raw data (e.g. such as in a behavioral analysis leveraging 'big data' [8] [9]).
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