A difficulty faced by scholars and practitioners working with numbers about people is that those who study people want numerical data about these people. Unfortunately, time and time again, this numerical data about people is wrong. Addressing the potential causes of this wrongness, we present examples of analyzing people numbers, i.e., numbers derived from digital…… Continue reading The need for data validity when using analytics
Digital analytics – the collection, measurement, analysis, and reporting of online data. Organizations desire to leverage analytics to increase productivity, increase efficiency, reduce costs, and improve the audience, customer, and user experience (ACU Experience). Data-driven decision-making = making decisions based on data. See more about using analytics to make impactful data-driven decisions in our…… Continue reading Analytics in practice
Understanding is the ability to interpret and make sense of the data insights generated through analytical processes. Understanding is the ability to interpret and make sense of the data insights generated through analytical processes. Goes beyond simply collecting and analyzing data to uncover patterns, trends, or correlations. Involves comprehending the implications of the data analysis…… Continue reading Audience, Customer, and User Understanding
Audience, customers, and users are roles. People are assigned (or assume) these roles for clarity in a given context. Role is temporarily adopting the perspective of a particular platform, product, or system in a specific context. People place themselves as the intended group for that entity/service. Roles help evaluate usability, identify issues, and gain insights…… Continue reading Audiences, Customers, and Users are Roles
For Audiences, Customers, and Users – often interested in different analytics Audiences Typical analytics: likes, shares, comments, tags, reposting KPIs – engagements, dialog, conversations Customers Typical analytics: Impressions, clicks, CTR, CR, ROAI, reviews KPIs – purchases, revenue, money Users Typical analytics: Time on Task, performance, ease of use KPIs – usability, satisfaction See more about…… Continue reading Differences Among Audiences, Customers, and Users
Users are a group of people interacting with a system or device, utilizing the features and functions provided to perform tasks or achieve goals. User Types: can range from casual individuals to professionals who rely on complex software for specialized purposes. User Concept is fundamental to the design and development, as it helps determine how…… Continue reading What is a user?
Customers are a group of people that purchase products or services offered by a seller; customers are the primary source of revenue and the main focus of marketing and sales efforts. Customers Engage with businesses through various channels and may have specific needs, preferences, or expectations. Customer Description involves considering demographics, interests, knowledge, & expectations…… Continue reading What is a customer?
Audience – a group of people who are the intended recipients a particular message (i.e., content). Content is transmitted to a group of people who receive and interpret the message. Audience Description involves considering demographics, interests, knowledge, & expectations to tailor the message. Audience Analytics, including reactions to the content, can provide valuable insights to…… Continue reading What is an audience?
To understand the “target market”! The target market is colloquially defined as a group of people identified as ‘right’ for an offering. The target market should receive the majority of a firm’s time, resources, and attention. The rationale is is that it is better to be focused than to be dispersed. Depersonification process to generate…… Continue reading What is the motivation for analytics?
People data are datasets describing people, including but not limited to behaviors, demographics, pain points, or attitudes. Dimension People Data Cleanliness Typically has a high percentage of missing values and (depending on the data collection) errors. Depending on the data collection methods can have a very low error percentage. Interaction Typically edited and added to…… Continue reading What is people data?