Stickiness
DAU/MAU ratio measuring engagement frequency.
- Term
- Stickiness
- Field
- Measurement & Analytics
- Category
- Measurement & Analytics
What it means
DAU/MAU ratio measuring engagement frequency.
This concept relates to how marketing performance is quantified and attributed. Modern measurement layers platform analytics, web analytics, server-side tracking, MMM, and incrementality testing to triangulate true causal impact.
Stickiness is a measurement & analytics term for a measurement method. Agree the scope and two people stop talking past each other.
How it works
Stickiness behaves unlike a fixed rule. An early-stage brand and a mature one will apply Stickiness on different terms. The mechanics follow the inputs around it. Treat Stickiness as a buzzword and the reporting misleads; agree on it and the numbers hold.
The working rule is plain. Agree what Stickiness covers first, then act on it. Skip that order and Stickiness loses its shared meaning, and two teams end up measuring two different things. One idea, plainly put.
Where it shows up
Bring Stickiness in when a live choice hangs on it. In measurement & analytics work, that usually means one of three moments. Away from a decision, Stickiness is background, not a lever.
- Setting budget. Stickiness guides the team toward the better-paying line.
- Choosing a metric. Stickiness checks that the figure is not just noise.
- Comparing options. Stickiness evens out a comparison that would otherwise mislead.
A worked example
Take Airbnb. During a holdout-test program, the team made Stickiness the deciding input, not an afterthought. They set a baseline first, agreed one definition of Stickiness, and only then read the result: reported ROAS proved 30% too high. The number matters less than the order.
| Stage | What the team did | Why it mattered |
|---|---|---|
| Baseline | Logged where Stickiness stood before the test. | A reference to judge against. |
| Define | Locked the scope of Stickiness so it stayed stable. | No room for scope drift. |
| Act | A holdout-test program — one variable. | One change, a clean read. |
| Result | Reported ROAS proved 30% too high | An outcome you can trust. |
These Stickiness numbers are illustrative -- RGM analysis. The structure travels; the specific figures do not.
Where teams go wrong
- No segments. Treating Stickiness as one number for all. Break it out before you trust it.
- Bare numbers. Showing Stickiness on its own. Context is what makes it readable.
- Chasing the word. Optimizing Stickiness for its own sake. Check it tracks a real outcome.
- Raw benchmarks. Stacking Stickiness against rivals blind. Normalize for margin, pricing, and sales cycle.
Questions teams ask
How is Stickiness defined?
Why does Stickiness matter?
How do teams use Stickiness?
What goes wrong with Stickiness most often?
What should I read next on Stickiness?
- How is Stickiness defined?
- DAU/MAU ratio measuring engagement frequency. In short, fix that meaning before any tactic is debated.
- Why does Stickiness matter?
- Stickiness earns its place when it shapes a real decision. The leverage is in correct use, not in the word itself.
- How do teams use Stickiness?
- Stickiness supports a real choice: where money goes, what gets measured, which option wins. The Airbnb case traces it.