False Discovery Rate (FDR)

Expected proportion of false positives among rejections. A working definition from the RGM marketing glossary.

Schematic — False Discovery Rate (FDR)

Expected proportion of false positives among rejections.

Term: False Discovery Rate (FDR)
Field: Statistics & Analytics
Category: Statistics & Analytics

What it means

One idea, plainly put.False Discovery Rate (FDR) is an analytical concept. Fix what it covers before the team debates tactics, and the rest of the conversation gets easier.

Expected proportion of false positives among rejections.

In Statistics & Analytics, False Discovery Rate (FDR) names an analytical concept. Pin the meaning down early and the strategy stays coherent.

How it operates

Worth a slow read.False Discovery Rate (FDR) is no fixed dial. How it behaves depends on your audience, your channel mix, and the strategy around it.

False Discovery Rate (FDR) is not a switch you flip. It names a moving idea, and the way it plays out shifts with the setup. A lean team running one paid channel applies False Discovery Rate (FDR) differently than a brand running ten. Use False Discovery Rate (FDR) loosely and teams pull apart; pin it down and the math lines up.

Keep the order simple: define False Discovery Rate (FDR) for your context, then decide how to act. Reverse it and the budget chases a number nobody agreed on. Worth a slow read.

The decisions it touches

Hold that thought.Bring False Discovery Rate (FDR) in when a live call depends on it. With no decision on the table, it stays background.

Bring False Discovery Rate (FDR) in when a live choice hangs on it. In statistics & analytics work, that usually means one of three moments. Away from a decision, False Discovery Rate (FDR) is background, not a lever.

Setting budget. False Discovery Rate (FDR) clarifies which budget line deserves more.
Choosing a metric. False Discovery Rate (FDR) checks that the figure is not just noise.
Comparing options. False Discovery Rate (FDR) corrects two options that look alike but are not.

A concrete walk-through

Keep this in mind.The example below traces False Discovery Rate (FDR) through a real Duolingo scenario, with real limits and a number to read at the end.

Consider Duolingo. Running a power-analysis discipline, the team put False Discovery Rate (FDR) at the center of the call. With a clean baseline and one fixed definition of False Discovery Rate (FDR), they read what moved: fewer false wins shipped. The discipline is the lesson.

Example walk-through for False Discovery Rate (FDR) -- figures illustrative, RGM analysis
Stage	Action	The reason
Baseline	Took a before reading on False Discovery Rate (FDR).	A fixed point of truth.
Define	Locked the scope of False Discovery Rate (FDR) so it stayed stable.	A shared definition up front.
Act	A power-analysis discipline — one variable.	Cause and effect, isolated.
Result	Fewer false wins shipped	A call backed by the read.

Figures for False Discovery Rate (FDR) here are illustrative and marked RGM analysis. Copy the method, not the exact numbers.

Where teams go wrong

Worth a slow read.Four failure modes recur with False Discovery Rate (FDR). Name them and they are easy to design around.

One blanket rule. Applying False Discovery Rate (FDR) the same way everywhere. Split it by audience, channel, and business model.
Bare numbers. Showing False Discovery Rate (FDR) on its own. Context is what makes it readable.
Vanity focus. Gaming False Discovery Rate (FDR) instead of the result. Tie it to business value.
Raw benchmarks. Stacking False Discovery Rate (FDR) against rivals blind. Normalize for margin, pricing, and sales cycle.

Common questions

What is False Discovery Rate (FDR)?

Expected proportion of false positives among rejections. Settle what False Discovery Rate (FDR) covers first; the strategy follows from there.

What makes False Discovery Rate (FDR) worth knowing?

False Discovery Rate (FDR) matters because vague vocabulary breaks strategy. A precise, shared definition keeps a team aligned.

How is False Discovery Rate (FDR) used in practice?

False Discovery Rate (FDR) informs a decision -- most often a budget, a metric choice, or a comparison. The Duolingo example above shows the pattern.

What is the most common mistake with False Discovery Rate (FDR)?

Using False Discovery Rate (FDR) flat across every segment and showing it without context. Both make a guess look exact.

What should I read next on False Discovery Rate (FDR)?

Start with the related terms below, then read the guide on marketing attribution models, plus marketing mix modeling.

What is False Discovery Rate (FDR)?: Expected proportion of false positives among rejections. Settle what False Discovery Rate (FDR) covers first; the strategy follows from there.
What makes False Discovery Rate (FDR) worth knowing?: False Discovery Rate (FDR) matters because vague vocabulary breaks strategy. A precise, shared definition keeps a team aligned.
How is False Discovery Rate (FDR) used in practice?: False Discovery Rate (FDR) informs a decision -- most often a budget, a metric choice, or a comparison. The Duolingo example above shows the pattern.