RGM® Glossary · Statistics & Analytics
Growth Glossary — Definition
SHT SELECTION-BIASSelection Bias
Systematic distortion from non-random sampling. A working definition from the RGM marketing glossary.
Systematic distortion from non-random sampling.
- Term
- Selection Bias
- Field
- Statistics & Analytics
- Category
- Statistics & Analytics
Where teams go wrong
Look at it this way.Most mistakes with Selection Bias share a root: the term gets reported as if it were exact when it is not.
- One-size thinking. Using Selection Bias flat across every segment. The right cut differs by channel and margin.
- No context. Reporting Selection Bias with no baseline. A bare number cannot be judged.
- Chasing the word. Optimizing Selection Bias for its own sake. Check it tracks a real outcome.
- Raw benchmarks. Stacking Selection Bias against rivals blind. Normalize for margin, pricing, and sales cycle.
Common questions
How is Selection Bias defined?
Systematic distortion from non-random sampling. Agree the scope of Selection Bias before the planning starts.
Why does Selection Bias matter?
Selection Bias earns its place when it shapes a real decision. The leverage is in correct use, not in the word itself.
Where does Selection Bias get used?
Teams put Selection Bias to work on a spend split, a metric, or a head-to-head call. See the Netflix walk-through above.
Where do teams slip up on Selection Bias?
Chasing Selection Bias as a goal and benchmarking it raw. Both bury the real trade-off underneath.
- How is Selection Bias defined?
- Systematic distortion from non-random sampling. Agree the scope of Selection Bias before the planning starts.
- Why does Selection Bias matter?
- Selection Bias earns its place when it shapes a real decision. The leverage is in correct use, not in the word itself.
- Where does Selection Bias get used?
- Teams put Selection Bias to work on a spend split, a metric, or a head-to-head call. See the Netflix walk-through above.