What is PeopleAnalyst?

PeopleAnalyst is the front door for people-analytics research: 205+ works indexed and profiled, 40+ citation-grade findings extracted, and peer-reviewed behavioral science translated from academic to actionable — the missing manual for the people analytics you always meant to do.

What is people analytics?

People analytics is not a dashboard. It is behavioral science and statistical inference applied to workforce decisions — a discipline with its own methodology, spanning measurement, organizational design, talent, leadership, and analytics craft.

Why does AI in HR need measurement science?

AI is being deployed in high-stakes people decisions — hiring, performance, attrition — without the measurement science to evaluate whether it works or whom it harms. Construct validity, effect sizes, and criterion validity are the vocabulary for asking an AI vendor the right questions.

How is the research made accessible?

The evidence is indexed and searchable: 205+ works, 40+ citation-grade insight cards, and 8 research arcs, so the right finding reaches the right decision at the right time.

What separates good people measurement from assertion?

Good measurement has a method: construct validity, reliability, and effect-size interpretation are not optional — they are what separates evidence from assertion.

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Marketing 5.0: Technology for Humanity

Philip Kotler, Hermawan Kartajaya, Iwan Setiawan · 2021

In a sentence

Marketing 5.0 shows how companies can apply human-mimicking technologies—AI, NLP, sensors, robotics, mixed reality, IoT, and blockchain—to create, communicate, deliver, and enhance value across the customer journey while keeping humanity at the center.

In Marketing 5.0, Philip Kotler, Hermawan Kartajaya, and Iwan Setiawan complete their celebrated Marketing X.0 series by fusing the human-centricity of Marketing 3.0 with the digital empowerment of Marketing 4.0. They argue that advanced 'next tech' has finally matured—and become affordable—enough to transform how marketers operate. But technology must follow strategy and serve humanity. The book diagnoses three societal challenges marketers face (the generation gap, prosperity polarization, and the digital divide), shows how to assess and build a digital-ready organization, primes readers on the next tech, and lays out a new customer experience that blends machine efficiency with human warmth. It then delivers five concrete components: the disciplines of data-driven and agile marketing that sandwich three applications—predictive, contextual, and augmented marketing. Practical, framework-rich, and grounded in real cases, it is a strategic playbook for leaders who want to win the era of Generation Z and Alpha by using technology to enhance, not replace, the human touch.

The four lenses

Science
Statistics
Systems
Strategy

The model

A causal framework in which design levers (next tech adoption, digital readiness, and the two disciplines of data-driven and agile marketing) drive psychological and behavioral states (personalized, social, experiential perceptions; trust; engagement) and the three applications (predictive, contextual, augmented marketing), ultimately producing outcomes such as superior customer experience, customer value, and business growth—moderated by the human-machine symbiosis balance and contextual societal conditions.

Next Tech Adoptiondesign lever

The degree to which a company adopts and applies human-mimicking technologies—AI, NLP, sensors, robotics, mixed reality, IoT, and blockchain—across marketing activities and the customer journey.

Digital Readinesscontextual condition

An organization's overall preparedness to go digital, combining customer willingness to migrate to digital channels and the company's capability to digitalize business processes, infrastructure, talent, and culture.

Data-Driven Marketing Capabilitydesign lever

The organizational discipline of collecting and analyzing big data from internal and external sources and building a data ecosystem to drive and optimize marketing decisions, enabling segments-of-one targeting.

Agile Marketing Capabilitydesign lever

The organizational discipline of using decentralized cross-functional teams, real-time analytics, flexible platforms, concurrent processes, rapid experimentation, and open innovation to conceptualize and validate products and campaigns at pace.

Predictive Marketingbehavioral pattern

The application of predictive analytics and machine learning to anticipate the results of marketing activities before launch, enabling proactive customer, product, and brand management decisions.

Contextual Marketingbehavioral pattern

The activity of identifying, profiling, and providing customers personalized interactions in real time using sensors, biometrics, and digital interfaces in physical space to deliver a sense-and-respond experience.

Augmented Marketingbehavioral pattern

The use of digital technology and intelligence amplification to improve the productivity of customer-facing marketers through tiered interfaces, chatbots, virtual assistants, and digital tools for frontliners.

Human-Machine Symbiosis Balancedesign lever

The degree to which a company optimally allocates tasks between machines (efficiency, scale, pattern detection) and humans (empathy, wisdom, contextual judgment) across customer touchpoints rather than fully automating or fully relying on people.

Perceived Personalization, Sociality, and Experiencepsychological state

The customer's psychological perception that technology-enabled marketing is personal (relevant, controllable), social (connection-enhancing), and experiential (immersive and engaging) rather than intrusive or alienating.

Customer Trust and Engagementpsychological state

The customer's willingness to trust the brand and data-sharing, plus their ongoing engagement and loyalty across the journey, shaped by perceived value of personalization versus privacy and human warmth.

Customer Experience Qualityoutcome metric

The overall quality of the new CX—frictionless, compelling, personalized, and warm—across all touchpoints from awareness to advocacy, reflecting the integration of high-tech and high-touch interactions.

Customer Value and Business Growthoutcome metric

The downstream business outcomes—customer lifetime value, willingness to pay, advocacy, market share, and sustainable, inclusive growth—generated by superior tech-empowered, human-centric marketing.

How they connect

next tech adoption → predicts predictive marketing
next tech adoption → predicts contextual marketing
next tech adoption → predicts augmented marketing
data driven capability → predicts predictive marketing
data driven capability → predicts contextual marketing
agile capability → influences customer experience quality
predictive marketing → predicts business growth
contextual marketing → predicts perceived personalization
augmented marketing → predicts customer experience quality
perceived personalization → predicts customer trust engagement
customer trust engagement → predicts customer experience quality
customer experience quality → predicts business growth
human machine symbiosis → moderates customer experience quality
digital readiness → moderates next tech adoption
perceived personalization → mediates customer experience quality

A candidate measure

Marketing 5.0: Technology for Humanity — derived measurement candidates