Excited to share the Phygital Marketing Glossary—a resource created for students, professionals, and curious minds looking to deepen their understanding of marketing in today’s ever-evolving landscape. Whether you’re revisiting the fundamentals or diving into phygital strategy, this eBook is here to grow with you.
Moreover, I wrote this glossary to demystify the language of modern marketing. Instead of writing a story-driven textbook, I wanted to create a reference tool—something you can flip through, search, or skim whenever a new term pops up. It’s meant to be quick, clear, and relevant.
You’ll find:
1. Concise definitions of essential marketing terms
2. Language that bridges traditional marketing and digital inno-vation
3. Concepts that matter in a phygital customer journey
4. Insight into how technology shapes strategy, engagement, and brand perception
Table of Contents
A/B Testing
Ad Extension
Ad Network
Affiliate Marketing
Agile
AIDA Model
Algorithm
Alternative Text
Ansoff Matrix
Artificial Intelligence
Attribution Models
Audience Intelligence
Audience network
Audience Profiling
Augmented Reality
Automation
BCG Matrix
Blue Ocean Marketing
Bot
Bounce Rate
Brand Archetypes
Brand Equity
Breadcrumbs
Buyer persona
Buyer’s journey
Call to Action
Cascading Style Sheets
Churn rate
Click-Through Rate
CMS
Code
Cognitive Dissonance
Connected Packaging
Conversion
Conversion funnel
Conversion Rate Optimisation
Cost Per Acquisition
Cost Per Click
Cost Per Mille
Crawler
Customer Lifetime Value
Customer Relationship Management
Customer-Based Brand Equity Model
Dashboard
Data Compliance
Data Fusion
Data Management Platform
Database
Data-Driven Marketing
Display Ads
Domain
Domain Name System
Electronic Commerce
Email Marketing
Events in Google Analytics (GA4)
Footer
Geofencing
Google Ads
Google AdSense
Google Analytics
Google Business Profile
Google Penalty
Google Search Console
Growth Hacking
Hashtag
Header
Header (Coding)
Heatmap
Heuristics
Hofstede’s Cultural Dimensions Theory
Hreflang Tag
HTTP Status Codes
Hyperlink
HyperText Transfer Protocol
IAM
Impression
Inbound Marketing
Index
Influencer Marketing
Inline Frame
Innovation Diffusion
Internet of Things
Internet Protocol address
Java / JavaScript
Kano Model
Keyword
Keyword density
Keyword Stuffing
KPIs
Landing Page
Lead
Machine Learning
Marketing Mix
Maslow’s Hierarchy of Needs
Means-End Theory
Meta Description
Meta tags
Metaverse
Near Field Communication
Non-Fungible Token
Organic
Outbound Marketing
Pay Per Click
Perceptual Map
Personalisation Engine
PESTLE Analysis
Porter’s Five Forces Model
QR Code
Quality Score
Query
Ranking
Red Ocean Marketing
Remarketing
Responsive Web Design
Return on Investment
RFM Model
Robots.txt
Search Engine Advertising
Search Engine Marketing
Search Engine Optimisation
Search Engine Results Page
Secure Sockets Layer Certificate
Segmentation, Targeting, Positioning
Server
Share of Voice
Site Link
Sitemap
Slug
SMART
Social Proof
Spam
Spider
SWOT Analysis
Target Audience
Touchpoint
Tracking
User Interface
Webinar
WordPress
YouTube
YouTube Ads
Objectives and Topics
The primary objective of this book is to provide students, professionals, and curious minds with a comprehensive, quick, and reliable reference tool to decode the complex, evolving terminology of modern digital and phygital marketing. The book seeks to demystify technical jargon by offering clear, standalone definitions that explain how traditional marketing principles integrate with new digital innovations.
- Definitions and practical explanations of essential marketing terminology.
- Insights into bridging the gap between traditional marketing and digital innovation.
- Examination of core concepts influencing the modern phygital customer journey.
- Technical understanding of how algorithms, data, and software shape marketing strategy.
- Guidance on key analytical frameworks and strategic business models.
Excerpt from the Book
A/B Testing
A/B Testing (also known as split testing) is a controlled experiment used in marketing, product design, and web development where two or more versions of a variable (like a webpage, ad, email, or app feature) are compared to determine which one performs best based on a specific goal or metric (e.g., click-through rate, conversion rate, engagement).
How It Works:
• Version A: The current version (control).
• Version B: A new version with one changed element (variant).
¾ Users are randomly split between the two versions.
¾ Performance is measured and statistically analysed to determine which version is more effective.
Example (1):
You’re testing two subject lines for an email campaign:
• Subject A: ‘‘Unlock 25% Off Now’’
• Subject B: ‘‘Your Exclusive 25% Discount Inside’’
The email with the highest open rate wins.
(= The email that people opened the most wins.)
Used For:
• Improving landing pages
• Optimising email subject lines
• Testing call-to-action (CTA) buttons
• Refining ad copy or visuals
Summary of Chapters
A/B Testing: Explains the process of comparing two versions of a variable to determine optimal performance for specific marketing goals.
Ad Extension: Details how digital ads can be enhanced with supplemental business information to drive user engagement.
Ad Network: Describes the intermediary role of ad networks in connecting advertisers with available ad space on various platforms.
Affiliate Marketing: Outlines the performance-based model where organizations pay commissions for successful referrals.
Agile: Defines the flexible, iterative management approach that emphasizes rapid testing and data-driven adjustments.
AIDA Model: Breaks down the four fundamental stages of the customer purchase journey: Attention, Interest, Desire, and Action.
Algorithm: Explains the role of automated rule sets in processing data and driving decisions on digital platforms.
Artificial Intelligence: Describes key AI technologies like Machine Learning, NLP, and Predictive Analytics and their application in modern marketing.
Buyer persona: Explains the utility of semi-fictional profiles representating ideal customers for better-targeted communication.
Customer Lifetime Value: Details the metric used to estimate total revenue from a single customer relationship.
Keywords
Digital Marketing, Phygital, Customer Journey, SEO, Ad Strategy, Analytics, Content Strategy, Conversion Rate, Automation, User Experience, Data-Driven, Attribution, Performance Metrics, Customer Retention, Marketing Models
Frequently Asked Questions
What is the core focus of the Phygital Marketing Glossary?
The book serves as a reference manual to explain the evolving language of modern marketing, particularly focusing on the intersection of physical and digital ("phygital") interactions.
Who will benefit most from reading this guide?
It is designed for students starting their careers, marketing professionals aiming to maintain their technical vocabulary, and strategists working across multiple platforms.
What is the primary objective of this text?
To demystify modern marketing buzzwords and technical acronyms by providing clear, concise, and standalone definitions that are easy to look up on the go.
Does the book contain specific methodologies?
Yes, it covers various analytical frameworks and methodologies such as A/B Testing, the AIDA Model, BCG Matrix, PESTLE Analysis, and Porter’s Five Forces.
What content is included in the main chapters?
The main part of the book is an alphabetically organized resource covering technical terms, analytical frameworks, and core marketing concepts alongside their practical use cases.
Which key topics characterize this work?
The work is characterized by terms related to SEO, digital advertising (SEA), user-interface/user-experience (UI/UX) design, and strategic business analysis tools.
How does the author distinguish between "Audience Intelligence" and "Audience Profiling"?
The author defines Audience Intelligence as the analytical research phase of gathering data, while Audience Profiling is the synthesis phase of turning that data into actionable personas.
How is the "Buyer’s Journey" different from the "Customer’s Journey"?
In this book, the Buyer's Journey conceptually ends at the point of purchase, whereas the Customer's Journey is depicted as continuing through post-purchase stages like satisfaction and loyalty.
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- Thomas Girard (Autor:in), 2025, Phygital Marketing Glossary, München, GRIN Verlag, https://www.grin.com/document/1583999
