Cointegration

Long-run equilibrium relationship between time series. A working definition from the RGM marketing glossary.

Schematic — Cointegration

Long-run equilibrium relationship between time series.

Term: Cointegration
Field: Statistics & Analytics
Category: Statistics & Analytics

What the term covers

Here is the short version.Cointegration means an analytical concept. The value is in a shared, precise definition, not in knowing the word.

Long-run equilibrium relationship between time series.

As a statistics & analytics term, Cointegration means an analytical concept. Settle what it covers before the planning starts.

How operators apply it

Read that twice.Cointegration is no fixed dial. How it behaves depends on your audience, your channel mix, and the strategy around it.

Cointegration 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 Cointegration differently than a brand running ten. Use Cointegration loosely and teams pull apart; pin it down and the math lines up.

Keep the order simple: define Cointegration for your context, then decide how to act. Reverse it and the budget chases a number nobody agreed on. Look at it this way.

When teams use it

Pick one definition.Reach for Cointegration when a real decision rides on it -- a budget, a metric, or a comparison. Otherwise it is reference.

Cointegration matters at the point of a decision. In statistics & analytics, three moments come up again and again. Outside them, Cointegration is reference material.

Setting budget. Cointegration points to where the next dollar should go.
Choosing a metric. Cointegration checks that the figure is not just noise.
Comparing options. Cointegration evens out a comparison that would otherwise mislead.

A concrete walk-through

Look at it this way.Below, Cointegration is put inside a Booking.com setting -- real trade-offs, a clear baseline, and a figure to test it.

Consider Booking.com. Running a sample-size correction, the team put Cointegration at the center of the call. With a clean baseline and one fixed definition of Cointegration, they read what moved: 3 of 10 tests stopped being called too early. The discipline is the lesson.

Worked example for Cointegration -- illustrative figures, RGM analysis
Stage	Action	Why it mattered
Baseline	Took a before reading on Cointegration.	A fixed point of truth.
Define	Agreed a single definition of Cointegration.	No room for scope drift.
Act	A sample-size correction — one variable.	Only one thing moved.
Result	3 of 10 tests stopped being called too early	An outcome you can trust.

Figures for Cointegration here are illustrative and marked RGM analysis. Copy the method, not the exact numbers.

Common mistakes

Read that twice.Most mistakes with Cointegration share a root: the term gets reported as if it were exact when it is not.

No segments. Treating Cointegration as one number for all. Break it out before you trust it.
Bare numbers. Showing Cointegration on its own. Context is what makes it readable.
Vanity focus. Gaming Cointegration instead of the result. Tie it to business value.
Raw benchmarks. Stacking Cointegration against rivals blind. Normalize for margin, pricing, and sales cycle.

Questions teams ask

What does Cointegration mean?

Long-run equilibrium relationship between time series. Agree the scope of Cointegration before the planning starts.

What makes Cointegration worth knowing?

Cointegration shows up in budget reviews and channel reporting. Use it loosely and teams pull apart; use it precisely and the numbers line up.

How is Cointegration used in practice?

Teams put Cointegration to work on a spend split, a metric, or a head-to-head call. See the Booking.com walk-through above.

Where do teams slip up on Cointegration?

Chasing Cointegration as a goal and benchmarking it raw. Both bury the real trade-off underneath.

Where can I go deeper on Cointegration?

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

What does Cointegration mean?: Long-run equilibrium relationship between time series. Agree the scope of Cointegration before the planning starts.
What makes Cointegration worth knowing?: Cointegration shows up in budget reviews and channel reporting. Use it loosely and teams pull apart; use it precisely and the numbers line up.
How is Cointegration used in practice?: Teams put Cointegration to work on a spend split, a metric, or a head-to-head call. See the Booking.com walk-through above.