Definition
Diminishing returns means each additional dollar of spend produces less incremental revenue than the previous dollar, often due to audience saturation and creative fatigue.
How to use it
- Expect marginal ROAS to decline as you scale spend.
- Segment curves by channel/audience; saturation happens at different levels.
Common mistakes
- Assuming performance scales linearly with spend.
- Treating short-term volatility as a structural saturation signal (insufficient data).
Why this matters
This term matters because it affects how you interpret performance and make budget decisions. If you use inconsistent definitions or windows, ROAS/CPA can look "better" while profit gets worse.
Practical checklist
- Write a 1-line definition for "Diminishing Returns (ads)" that your team will use consistently.
- Keep the time window consistent (weekly/monthly/quarterly) when comparing trends.
- Segment results (channel/plan/cohort) before drawing big conclusions from blended averages.
- Use a calculator that references this term (e.g., Marginal ROAS Calculator) to sanity-check assumptions.
- Read the related guide (e.g., Marginal ROAS: how to scale ads with diminishing returns) for context and common pitfalls.
Where to use this on MetricKit
Calculators
- Marginal ROAS Calculator: Estimate diminishing returns and find the profit-maximizing ad spend from a simple response curve.
Guides
- Marginal ROAS: how to scale ads with diminishing returns: A practical guide to marginal ROAS: why average ROAS misleads at scale, how diminishing returns work, and how to pick a profit-maximizing spend level.
- Paid ads measurement hub: ROAS, MER, marginal ROAS, and incrementality: A practical hub for paid ads measurement: connect ROAS to profit, use MER for top-down truth, watch marginal ROAS for scale, and validate incrementality with holdouts.
- Attribution vs incrementality: what to trust, when, and how to test: A practical guide to attribution vs incrementality: common attribution models, window pitfalls, how MER/marginal ROAS fit in, and how to run holdout/geo tests.