Skip to main content

Buyer personas (customer personas)


A buyer persona is a composite representation of a customer that aggregates the attributes and demographics of a segment of target customers. Attributes are based on market research and data on the company's existing customer base.

As companies create their buyer personas, they should consider factors such as customer demographics, customer preferences and behavior patterns, motivations and goals. Behavior and preferences may be indicated through digital communications such as browsing behavior on a company's website or items chosen in a shopping cart, items that users click on in newsletters as indicated by marketing automation software, or preferences as expressed in customer satisfaction surveys and customer valuations.

Companies also need to develop buyer personas based on customers' activities in various communications channels, including company websites, live chat windows, social media platforms, mobile devices and email. Customer journey mapping may also help companies develop these personas.

Buyer personas provide insight to a company about how to market and sell to these various customer segments. By indicating customer preferences and needs, buyer personas can guide a company in where to focus resources to increase sales or which products to develop. Personas also help companies tailor and personalize their messages to these customer or prospect segments.
Buyer personas enable companies to engage in forward-looking activities as well, such as predictive analytics. Once a company builds composite persons, it can employ predictive algorithms to predict future behavior.


Comments

Popular posts from this blog

A Graphics Processing Unit (GPU)

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...

What's the difference between two-step verification and 2FA?

  The two terms, two-step verification, and two-factor authentication are synonymous, though the former is now being used more widely by the likes of Google, Microsoft, and Apple as it better conveys how the actual authentication process works. In the past, two-step verification was used to describe processes that used the same authentication factors, while two-factor authentication described processes that involved different factors, such as entering a password on a website and receiving a numerical code on a mobile device. Today, the two terms are both used to describe authentication that involves a secondary factor that is different from the first. Authentication is a vital element of access control and data security because users can be assigned access rights and be authorized to perform certain actions only after successful authentication is performed. The ways in which someone can be authenticated fall into three categories based on what is known ...

Black Swan Event

A black swan event is an incident that occurs randomly and unexpectedly and has wide-spread ramifications. The event is usually followed with reflection and a flawed rationalization that it was inevitable. The phrase illustrates the frailty of inductive reasoning and the danger of making sweeping generalizations from limited observations. The term came from the idea that if a man saw a thousand swans and they were all white, he might logically conclude that all swans are white. The flaw in his logic is that even when the premises are true, the conclusion can still be false. In other words, just because the man has never seen a black swan, it does not mean they do not exist. As Dutch explorers discovered in 1697, black swans are simply outliers -- rare birds, unknown to Europeans until Willem de Vlamingh and his crew visited Australia. Statistician Nassim Nicholas Taleb uses the phrase black swan as a metaphor for how humans deal with unpredictable events in his 2007...