TAM
Total Addressable Market (TAM) represents the total revenue opportunity available if a product or service achieves 100% market share. Essential for understanding the full potential of a market.
Total Addressable Market (TAM) represents the total revenue opportunity available if a product or service achieves 100% market share. Essential for understanding the full potential of a market.
Business-to-Consumer (B2C), a business model where products or services are sold directly to individual consumers. Essential for understanding consumer markets and developing direct marketing strategies.
A framework for discovering and validating the right market for a product, building the right product features, and validating the business model. Important for ensuring that products meet market needs and customer expectations.
Attention, Interest, Desire, Action (AIDA) is a marketing model that outlines the stages a consumer goes through from awareness to decision. Crucial for creating effective marketing strategies and campaigns.
Cost Per Objective Option (CPOO) is a metric used to measure the cost efficiency of different marketing options based on achieving specific objectives. This metric is crucial for optimizing marketing spend and measuring campaign effectiveness.
A product that significantly changes the market or industry by introducing innovative features or a new business model. Important for understanding market dynamics and identifying opportunities for innovation.
Cost Per Action (CPA) is an online advertising pricing model where the advertiser pays for a specified action, such as a sale or registration. This model is crucial for optimizing ad spend and measuring marketing effectiveness.
Business-to-Business (B2B), a business model where products or services are sold from one business to another. Crucial for understanding business markets and developing inter-business strategies.
Return on Advertising Spend (ROAS) measures the revenue generated for every dollar spent on advertising. Essential for assessing the effectiveness and profitability of marketing campaigns.
A statistical method used to predict a binary outcome based on prior observations, modeling the probability of an event as a function of independent variables. Essential for predicting categorical outcomes in digital product analysis and user behavior modeling.
A theoretical framework in economics that assumes individuals act rationally and seek to maximize utility, used to predict economic behavior and outcomes. Important for understanding traditional economic theories and designing systems that account for rational decision-making.
Capability, Opportunity, Motivation (COM...) is a framework for understanding Behavior (Ã B). Important for designing interventions that effectively change user behavior.
A framework that outlines how a product is developed, managed, and delivered, including roles, processes, and tools used throughout its lifecycle. Crucial for ensuring efficient and effective product management and development.
Marketing Qualified Lead (MQL) is a prospective customer who has shown interest in a company's product or service and meets specific criteria indicating a higher likelihood of becoming a customer. Essential for prioritizing leads and optimizing the efficiency of sales and marketing efforts by focusing resources on prospects most likely to convert.
The final interaction a customer has with a brand before making a purchase. Important for understanding which touchpoints drive conversions.
New Product Development (NPD) is the complete process of bringing a new product to market, from idea generation to commercialization. Essential for companies to innovate, stay competitive, and meet evolving customer needs through a structured approach to creating and launching new offerings.
A metric used to rank leads based on their engagement with a brand, indicating their readiness to purchase. Crucial for prioritizing leads and improving sales efficiency.
Cost Per Click (CPC) is an online advertising model where the advertiser pays each time a user clicks on their ad. This model is crucial for measuring and optimizing the effectiveness of online advertising campaigns.
Often referred to as "marketing funnel", a model that represents the user journey from awareness to purchase used to analyze and optimize conversion of prospects to customers. Essential for understanding and improving the customer journey and conversion process.
Business-to-Government (B2G), a business model where products or services are sold to governments. Important for understanding and navigating public sector markets.
Business-to-Business-to-Consumer (B2B2C), a business model where businesses sell products or services to other businesses that then sell them to consumers. Important for understanding complex value chains and partnership strategies.
The process of estimating future sales based on historical data, trends, and market analysis. Crucial for setting realistic sales targets and planning resources effectively.
A pattern of rapid and sustained growth after a period of linear or stagnant growth, resembling the shape of a hockey stick. Crucial for understanding and planning for rapid expansion phases in digital product lifecycle and business strategy.
Large Language Model (LLM) is an advanced artificial intelligence system trained on vast amounts of text data to understand and generate human-like text. Essential for natural language processing tasks, content generation, and enhancing human-computer interactions across various applications in product design and development.
The process of making predictions about future trends based on current and historical data. Useful for anticipating user needs and market trends to inform design decisions.
Product Development is the process of bringing a new product to market or improving an existing one. Crucial for innovation, meeting customer needs, and maintaining a competitive edge.
A form of regression analysis where the relationship between the independent variable and the dependent variable is modeled as an nth degree polynomial. Useful for modeling non-linear relationships in digital product data analysis.
Business-to-Business-to-Business (B2B2B), a business model where businesses sell products or services to other businesses that then sell them to additional businesses. Crucial for understanding multi-tiered business relationships and strategies.
The process of predicting future customer demand using historical data and other information. Crucial for optimizing inventory levels, production schedules, and supply chain management.
The potential for a project or solution to be economically sustainable and profitable. Important for ensuring that design and development efforts align with business goals and market demands.
The process of using statistical analysis and modeling to explore and interpret business data to make informed decisions. Essential for improving business performance, identifying opportunities for growth, and driving strategic planning.
A statistical technique that uses several explanatory variables to predict the outcome of a response variable, extending simple linear regression to include multiple input variables. Crucial for analyzing complex relationships in digital product data.
The use of statistical techniques and algorithms to analyze historical data and make predictions about future outcomes. Important for optimizing marketing strategies and anticipating customer needs.
Domain-Driven Design (DDD) is an approach to software development that focuses on modeling the business domain and its logic. Essential for aligning software development with business needs and creating maintainable systems.
The study of the principles that govern human behavior, including how people respond to stimuli and learn from their environment. Crucial for designing user experiences that anticipate and influence user behavior.
Natural Language Processing (NLP) is a field of AI focused on the interaction between computers and humans using natural language. Essential for developing applications like chatbots, language translation, and sentiment analysis.
Monthly Recurring Revenue (MRR) is a metric that quantifies the predictable revenue generated each month from customers. This metric is crucial for SaaS companies to track financial health and growth.
A strategic management template for developing new business models or documenting existing ones, detailing elements like value proposition, infrastructure, and customers. Important for understanding and designing business strategies that align with product and user experience goals.
A framework for prioritizing product features based on their impact on customer satisfaction, classifying features into categories such as basic, performance, and delight. Crucial for understanding customer needs and prioritizing features that enhance satisfaction.
A management framework that organizes employees into small, cross-functional teams (tribes) to enhance agility, collaboration, and innovation. Important for fostering a collaborative and agile work environment.
A framework that defines how an organization operates across various functions to deliver value to customers and achieve business objectives. Crucial for aligning organizational functions and processes with strategic goals.
A framework for designing habit-forming products that includes four phases: Trigger, Action, Variable Reward, and Investment. Crucial for creating engaging and sticky user experiences.
A prioritization framework used in product management to evaluate features based on Reach, Impact, Confidence, and Effort. Crucial for making informed decisions about which product features to prioritize and develop.
An economic theory that explains why some necessities, such as water, are less expensive than non-essentials, like diamonds, despite their greater utility. Useful for understanding consumer behavior and designing pricing strategies.
Lifetime Value (LTV) is a metric that estimates the total revenue a business can expect from a single customer account throughout their relationship. Crucial for informing customer acquisition strategies, retention efforts, and overall business planning by providing insights into long-term customer profitability.
A pricing strategy where a core product is sold at a low price, but complementary products are sold at higher prices. Useful for designing pricing strategies that maximize revenue from complementary products.
The study of strategic decision making, incorporating psychological insights into traditional game theory models. Useful for understanding complex user interactions and designing systems that account for strategic behavior.
The study of how psychological influences affect financial behaviors and decision-making. Essential for understanding and influencing financial decision-making and behavior.
Portfolio Management is the process of overseeing and coordinating an organization's collection of products to achieve strategic objectives. Crucial for balancing resources, maximizing ROI, and aligning products with business goals.
A pricing strategy where a high-priced option is introduced first to set a reference point, making other options seem more attractive in comparison. Important for shaping user perceptions of value and creating a benchmark for other pricing options.
A behavioral economic theory that describes how people choose between probabilistic alternatives that involve risk, where the probabilities of outcomes are known. Crucial for understanding decision-making under risk and designing systems that align with user behavior.
A concept in behavioral economics that describes how future benefits are perceived as less valuable than immediate ones. Important for understanding user preferences and designing experiences that account for time-based value perceptions.
The process of ranking leads based on their perceived value to the organization. Useful for prioritizing sales efforts and improving conversion rates.
Return on Investment (ROI) is a performance measure used to evaluate the efficiency or profitability of an investment or compare the efficiency of different investments. Crucial for assessing the financial effectiveness of business decisions, projects, or initiatives.
The stages a customer goes through from awareness to purchase and post-purchase activities. Important for designing strategies that optimize customer acquisition, retention, and satisfaction.
A psychological theory proposed by Abraham Maslow that outlines a five-tier model of human needs, ranging from basic physiological needs to self-actualization. Crucial for designing products and services that address various levels of user needs.
The process of creating an early model of a product to test and validate ideas, features, and design choices before full-scale production. Essential for validating design choices and gathering user feedback early in the development process.
The level of sophistication and integration of design practices within an organization's processes and culture. Essential for assessing and improving the effectiveness of design in driving business value and innovation.
AI as a Service (AIaaS) is a service model where AI tools and algorithms are provided over the internet by a third-party provider. Essential for making advanced AI capabilities accessible to businesses.
A cognitive bias where consumers change their preference between two options when presented with a third, less attractive option. Useful for designers to create choice architectures that effectively influence user decisions.