Retention
Retention is a measure of the proportion or amount of a defined population, relationship, activity, or information that persists over a specified period.
Automating API Delivery
User retention is a measure of the proportion of users who continue to use a product during a specified later period.
- How it is used
- Measures whether developer users return to an API, supporting decisions about product improvement at the retention stage.
- How deep it goes
- Defines the percentage and walks through daily report setup and chart interpretation, without specifying a manual calculation.
- Examples
- Uses a Product Catalog API retention chart that reaches zero on day one after no repeat calls.
- What you can do after
- Apply it via Moesif by configuring a daily API-call retention report and interpreting its return-rate chart.
Think Like a Software Engineering Manager
Employee retention rate is the proportion of employees who remain with an organization over a specified period.
- How it is used
- Uses employee retention rate as a hiring-planning question and retention as a goal of performance management and attrition prevention.
- How deep it goes
- Names the rate and develops practical retention responses and costs, but does not provide a rate-calculation procedure.
- Examples
- Compares a hypothetical $30,000 backfill cost with a $10,000 retention investment and describes an internal-role change to retain an employee.
- What you can do after
- Evaluate/understand employee retention alongside hiring needs and respond to departure risks by examining causes and feasible changes.
Read how Think Like a Software Engineering Manager explains retention →
Delivering Machine Learning Projects: From design to deployment
Customer retention is the continuation of a customer's relationship with a business over time.
- How it is used
- Frames churn prediction and possible interventions as ways to support a cost-reduction goal.
- How deep it goes
- Defines the goal through a project proposal but gives no retention-rate formula or worked measurement method.
- Examples
- Uses a bike retailer’s fragmented systems and a risk register noting insufficient customer history after a data cleanse.
- What you can do after
- Evaluate/understand it as a business goal that can motivate a churn-analysis proposal, subject to data availability.
Read how Delivering Machine Learning Projects: From design to deployment explains retention →
BDD in Action, Second Edition
A retention metric measures the extent to which users or customers continue returning to or using a product, service, or program.
- How it is used
- Measures whether customers return and helps turn low repeat business into a specific delivery goal.
- How deep it goes
- Defines returning behavior, works through a repeat-booking obstacle and target, and proposes responses without specifying a calculation or implementation.
- Examples
- Uses returning website visitors and airline business flyers’ repeat bookings, follow-up meetings, points, and a social media app.
- What you can do after
- Practice/perform identifying a repeat-business obstacle, choosing a return-behavior measure, and relating proposed deliverables to that goal.
First-Party Data Activation
The maintenance of existing customer relationships through continued purchasing, renewal, or re-engagement.
- How it is used
- Positions retention as a customer-journey objective served by first-party data and sustained through repurchases, renewals, or re-engagement.
- How deep it goes
- Defines the objective and explains signals, interventions, and effectiveness measures through a business example, without specifying a retention-rate formula.
- Examples
- Illustrates retention with a baby registry, age-appropriate recommendations, helpful parenting content, and conditional marketing journeys.
- What you can do after
- Apply it via first-party data and marketing journeys to identify churn risk, re-engage customers, and assess churn reduction or incremental revenue.
Natural Language Processing in Action, Second Edition
A retention metric measures the proportion of users who return to use a product or service after an earlier interaction.
- How it is used
- Frames retention as one of HEART’s five UX metric families for evaluating chatbot user journeys.
- How deep it goes
- Defines retention’s role in event-based UX measurement but does not provide a formula or implementation procedure.
- Examples
- Uses chatbot starts, questions, thank-you messages, signups, and continued interaction as measurable user events.
- What you can do after
- Evaluate continued chatbot use as part of a broader user-experience measurement plan.
Read how Natural Language Processing in Action, Second Edition explains retention →
Financial AI in Practice
Retention is the proportion or number of users who continue using a product or service over a specified period.
- How it is used
- Measures sustained engagement and trust as success criteria for financial personalization.
- How deep it goes
- Evaluates return behavior over time and alongside financial-stability outcomes.
- Examples
- Uses next-month returns, stressed-user churn, and forced liquidations as concrete checks.
- What you can do after
- Evaluate context-aware feeds using retention alongside net inflows and portfolio concentration.
Related concepts
- pirate metricspart of · Pirate metrics, also called AARRR, are a startup and product measurement framework organized around acquisition, activation, retention, revenue, and referral.
- metrickind of · A metric is a quantitative measure used to characterize or assess a property, condition, behavior, performance, or outcome.
- turnoveralternative to · Turnover is a measure of the amount or rate of sales, exchanges, or replacements occurring within an organization or portfolio over a specified period.
- internal mobilityaddressed by · Internal mobility is the movement of employees between roles or opportunities within the same organization.
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