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A moment of truth (MOT) is marketing lingo for any opportunity
a customer (or potential customer) has to form an impression about a company,
brand, product or service. Marketers strive to use moments of truth to create
positive, customer-centric outcomes. The concept itself is very simple -- if
every customer interaction has a positive outcome, the business will be
successful.
Although moments of truth can include mass communication, a MOT's power
comes from those interactions in which the communication is personalized. The
value of a moment of truth was first conceptualized in the 1980s by Jan
Carlzon, the CEO of Scandinavian Airlines Systems and expanded upon by A.G.
Lafley when he was the CEO of Proctor & Gamble.
Customers have an expectation that each moment of truth will provide
accurate information and an effortless interaction with an organization.
There is significant downside risk if moments of truth do not achieve a
baseline level of an individual's expectations and customer satisfaction
(CSAT) rankings are poor.
The challenge organizations face regarding moments of truth is to
identify every possible customer touch-point and optimize each one, whether it
is a recurring experience, such as sending out a billing statement, or a
one-time communication with a sales representative over the phone.
Different types of MOTs
The following list is an aggregate from several different sources:
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A graphics processing unit (GPU) is a computer chip that performs rapid mathematical calculations, primarily for the purpose of rendering images. A GPU may be found integrated with a central processing unit (CPU) on the same circuit, on a graphics card or in the motherboard of a personal computer or server. In the early days of computing, the CPU performed these calculations. As more graphics-intensive applications such as AutoCAD were developed; however, their demands put strain on the CPU and degraded performance. GPUs came about as a way to offload those tasks from CPUs, freeing up their processing power. NVIDIA, AMD, Intel and ARM are some of the major players in the GPU market. GPU vs. CPU A graphics processing unit is able to render images more quickly than a central processing unit because of its parallel processing architecture, which allows it to perform multiple calculations at the same time. A single CPU does not have this capability, although multi...
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