ARPA
Average Revenue Per Account (ARPA) is a metric used to measure the average revenue generated per user or account. Crucial for understanding and optimizing revenue streams in subscription-based businesses.
Average Revenue Per Account (ARPA) is a metric used to measure the average revenue generated per user or account. Crucial for understanding and optimizing revenue streams in subscription-based businesses.
A metric that shows the revenue that a company can expect to receive annually from its customers for subscriptions or services. Essential for understanding business performance and growth potential.
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.
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.
Net Promoter Score (NPS) is a metric used to measure customer loyalty and satisfaction based on their likelihood to recommend a product or service to others. Crucial for gauging overall customer sentiment and predicting business growth through customer advocacy.
A dark pattern where a free trial ends and the user is automatically charged without warning. Designers should avoid this practice and ensure users are clearly informed about charges to maintain ethical standards.
The loss of customers over a specific period, also known as customer churn. Important for understanding and addressing customer retention issues.
Time to Value (TTV) is a metric that measures the time it takes for a customer to realize the value of a product or service after purchase. Crucial for optimizing customer satisfaction and improving business outcomes.
CSM (Customer Success Management) is a business methodology focused on ensuring customers achieve their desired outcomes while using a product or service. Crucial for driving customer retention and satisfaction.
The percentage of customers who stop using a product or service during a specific time period. Essential for understanding customer retention and identifying areas for improvement.
Software as a Service (SaaS) is a software distribution model where applications are hosted by a service provider and accessed over the Internet. Crucial for enabling scalable and cost-effective software solutions for users.
The rate at which customers stop using a product or service, often used as a metric to measure customer retention. Crucial for understanding customer behavior and improving retention strategies.
A process by which users are automatically enrolled into a service or program, often used to increase participation rates. Useful for increasing user engagement and participation in services and programs.
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.
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.
A strategy where an additional, less attractive option is introduced to make other pricing options look more appealing, often steering customers towards a particular choice. Important for guiding user decisions and increasing the perceived value of targeted pricing tiers.
The percentage of users who take a specific action that signifies they are engaging with a product or service. Important for measuring user engagement and the effectiveness of onboarding processes.
A pop-up dialog that appears when a user attempts to leave a page or application, which can be used to prevent loss of progress or data, or to confirm user intent. While it can be used ethically to prevent data loss or confirm actions, designers must avoid using it to deceive, delay, block, or interfere with the user's intent, thus ensuring it does not become a dark pattern.
The practice of setting defaults in decision environments to influence outcomes, often used in behavioral economics and design. Crucial for creating user experiences that encourage beneficial behaviors through preselected options.
A decision-making strategy where individuals are prompted to make a choice rather than defaulting to a pre-set option. Useful for increasing user engagement and ensuring intentional decision-making.
A dark pattern where the cancellation process is intentionally complicated to discourage users from canceling. Designers must avoid complicating cancellations and respect user decisions with a straightforward process.