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    Convenience Sampling

    Convenience sampling recruits whoever is easiest to reach — website visitors, email-list subscribers, social-media followers — and is the dominant approach in commercial surveys despite its limitations.

    Convenience sampling (also called non-probability or opportunity sampling) is fast and cheap but produces results that cannot be generalized to the broader population with statistical confidence. Web intercept surveys, in-app pop-ups, and email blasts are all convenience samples. The risk is selection bias: respondents differ systematically from non-respondents on the variable of interest (e.g., extremely satisfied or extremely angry customers self-select to respond). Convenience sampling is acceptable for directional insight, exploratory research, and benchmarking against your own prior period — but reporting confidence intervals against a convenience sample is statistically incorrect.

    Example

    An in-app NPS widget collects 850 responses from active users in a month. The sample skews to power users who log in daily — light or churned users are underrepresented. The NPS of 42 is a defensible internal trend metric but not a population estimate.

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    Related terms

    Random Sampling

    Random sampling is a probability sampling method where every member of the target population has an equal, known chance of being selected.

    Selection Bias

    Selection bias is a systematic error arising when the people included in a survey differ from the target population in ways that affect the outcome.

    Nonresponse Bias

    Nonresponse bias occurs when the people who do not respond to a survey differ systematically from those who do, on the variable being measured.

    Response Bias

    Response bias is any systematic tendency of respondents to answer questions inaccurately, either intentionally or unconsciously.

    In-App Survey

    An in-app survey is a short survey delivered inside a digital product, typically triggered by user behavior or milestone events.

    Sample Size

    Sample size is the number of respondents needed for survey results to be statistically meaningful at a given confidence level and margin of error.