The percentage of times a keyword appears in a text relative to the total number of words, used to evaluate the relevance and optimization of a webpage for specific search terms. Important for optimizing content for search engines without overstuffing keywords.
Serviceable Obtainable Market (SOM) is the portion of the Serviceable Addressable Market that a company can realistically capture. Essential for setting achievable sales and market share goals.
Call to Action (CTA) is a prompt that encourages users to take a specific action, such as signing up for a newsletter or making a purchase. Crucial for guiding user behavior and increasing engagement or conversions on digital platforms.
Customer Relationship Management (CRM) is a strategy for managing an organization's relationships and interactions with current and potential customers. Essential for improving business relationships and driving sales growth.
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.
A Project Management Office (PMO) is a centralized unit within an organization that oversees and standardizes project management practices. Essential for ensuring consistency, efficiency, and alignment with strategic goals across projects.
A strategic framework that designs user experiences to guide behavior and decisions towards desired outcomes. Crucial for creating effective and ethical influence in digital interfaces.
The extent to which consumers can identify a brand by its attributes such as logo, tagline, or packaging. Essential for building brand awareness and ensuring that the brand stands out in the market.
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.
Quantitative data that provides broad, numerical insights but often lacks the contextual depth that thick data provides. Useful for capturing high-level trends and patterns, but should be complemented with thick data to gain a deeper understanding of user behavior and motivations.